Heat Distribution Analysis of a Thick Film Transcutaneous Gas Sensor

Size: px
Start display at page:

Download "Heat Distribution Analysis of a Thick Film Transcutaneous Gas Sensor"

Transcription

1 Heat Dstrbuton Analyss of a Thck Flm Transcutaneous Gas Sensor LIZA LAM, JAROMIR BILEK, JOHN ATKINSON School of Engneerng Scences Unversty of Southampton Hghfeld, Southampton UNITED KINGDOM Abstract: - The partal pressure of oxygen and carbon doxde n the arteral blood s an mportant factor for doctors to determne the respratory condtons of patents. Transcutaneous blood gas montorng s a popular non-nvasve measurement technque for obtanng fast and relatvely accurate responses. In ths nvestgaton, thck flm technology was employed to develop a blood gas system based on an amperometrc sensor whch conssts of a heatng module to elevate the temperature at the skn surface to transcutaneous levels. The heatng module ncluded a heatng element and ts temperature was regulated by a temperature control crcut. Usng an nfrared camera, the transent and steady-state temperature dstrbuton of the heatng element was analyzed. A three-dmensonal theoretcal model was also establshed to evaluate the temperature response of the sensor and subsequently compared wth the results of the practcal prototype. Based on the analyss and development, future heatng modules for transcutaneous sensors could be generated more easly, hence effectvely mprovng the desgn stages. Key-Words: - Thck flm, transcutaneous, blood gas, sensor, heatng element, temperature dstrbuton, transent, steady-state 1 Introducton Healthcare and medcal servces have always played mportant roles n part and parcel of daly lves. In order to understand and determne the medcal status of patents, dfferent parameters throughout the human body were measured and analyzed. On such mportant medcal parameter s the measurement of blood gas levels n the arteral blood. Ths s essental for doctors to montor the respratory condtons of patents, n partcular the preterm neonates who are undergong surgery or experencng respratory dffcultes. Transcutaneous blood gas measurement, ntroduced n the early 1970s [1] s a popular, nonnvasve technque that allows on-gong, contnuous montorng features. For ths measurement, the surface of the skn must be n the specfc temperature range wthn the sensng area [2]. Ths temperature must be hgh enough to obtan recordable results, but at the same tme t has to be suffcently low so as not to burn or damage the skn. Ths crtcal temperature, at whch the skn wll be damaged, vares for dfferent ndvduals and t also depends on the poston at whch the sensor s placed on the human body. In general, ths crtcal temperature s found to be approxmately 46 C [3]. Thck flm technology [4] s one technque that allows hgh volumes of producton wth hgh repeatablty and at low cost. The manufacture of sensors usng ths technology s found sutable and s adopted commonly n many ndustres. Hence, thck flm technology was employed to develop the transcutaneous blood gas sensor. In ths paper, the focus s concentrated on the temperature dstrbuton on the surface of the sensor n order to determne ts effects on the overall performance. The man objectve s to study the heat dstrbuton on the sensor substrate. A temperature control crcut was desgned n order to provde the requred controlled temperature for the transcutaneous measurement. A theoretcal smulaton of the heat dstrbuton was performed usng the ANSYS software based on fnte element method (FEM). The results were then compared to the expermental observatons for a more comprehensve nvestgaton. The results could be used n future prototypes to acheve low cost sensor desgn solutons. 2 Sensor Desgn The complete blood gas sensor conssted of two man parts, namely the heater and gas sensor modules [5, 6]. In ths paper, the heater module s the man topc of nvestgaton. To fabrcate the heater module, termnal pads for solderng connecton were made from slverpalladum (AgPd) nk whle the heatng element was made of platnum (Pt) nk. Pt exhbts nterestng characterstcs such as hgh temperature coeffcent of resstance (TCR). It s also a stable materal whch can be exposed to a varety of envronments

2 at hgh temperatures wthout degradaton. The temperature characterstc of Cermet Pt used s lnear wthn requred temperature range wth TCR of 3500 ± 200 ppm/k [7]. The thck flm process began by prntng each layer usng a unque screen that contaned the desred template layout. Ths was followed by the dryng and frng processes to bnd the nk onto the substrate whch n ths case was alumna (96% Al 2 O 3 ). The heatng element meander area s shown n Fg. 1. temperature range for both the front and back of the substrates were the same. It was also mportant to note that heat was transferred through the alumna substrate readly at the transent stage of operaton. (a) 3 Experment Contact pad Fg.1 Heatng Element Pattern 3.1 Equpment and Procedure Experments were carred out wth the nfrared (IR) camera DeltaTherm and supportng software DeltaVson. The DeltaTherm camera s manly used for thermal stress analyss but can be also appled n other applcatons [8]. It contans a 128 by 128 array of ndum-antmony (InSb) detectng elements. The temperature dstrbuton was measured on both sdes of the substrate, the front and the back. The front was defned as the sde where the heatng element was prnted and therefore t was supposed that the overall maxmum temperature should be found on ths sde. The temperature dstrbuton of each sde of the substrate was measured on separate occasons under the same operatng condtons n order to obtan comparable results. 3.2 Expermental Results Fg. 2 shows the temperature dstrbuton over the heated area after one mnute of operaton. It s noted that each change of shade n the contour plots represents a temperature change of 0.5 C wthn the regon. As shown n Fg. 2, the area of the heater s ndcated by the whte rectangular outlne (8.8mm by 8mm) and a grd s ncluded for better graphcal comparson of the mages. The hghest temperature occurred approxmately at the mddle part of the heatng element along the x-axs. The back of the substrate also ndcated a more unform concentrc dstrbuton of the heated regon. The overall Fg.2 Transent Heat Dstrbuton on Substrate Surface (after one mnute) (a) Front-Same Sde as Heatng Element; Back It was found from further experments of the measurements wth IR camera, the state after fve mnutes could be depcted as a stable response gven that the temperature control crcut was set to regulate at an unchanged temperature. Ths generalzaton was acceptable as the mages taken after ten or twenty mnutes later remaned relatvely unchanged as compared to the fve mnutes effect, seen n Fg. 3. Smlar observatons were found on both the transent and steady-state dstrbutons. A slght mbalance of non-symmetry n Fg. 3(a) could be caused by low-speed arflow from the left sde durng the measurement. Despte these naccuraces, t can be assumed that the temperature dstrbuton was smlar on both sdes of the substrate n the stable state. y x

3 (a) flud moton, a dstncton s made between a free or natural convecton and a forced convecton [9]. Newton's law of coolng expressed the heat flux from sold surface to a flud by q = h A ( Tw T ) (2) where q s heat transfer rate (W), h s the flm coeffcent (W/m 2.K), T w s wall temperature (K) and T s the free stream temperature (K). Radaton s the transfer of thermal energy by electromagnetc waves. The wavelengths of radated waves can range from the long nfrared to short ultravolet, dependng on the temperature of the body [10]. Stefan-Boltzmann law of radaton descrbes ths heat flow transfer as 4 4 q = σ ε A T T (3) ( ) where q s the heat transfer rate from surface (W), σ s the Stefan-Boltzmann constant (W/m 2.K 4 ), ε s the effectve emssvty, A s the area of surface (m 2 ) and T, T j are absolute temperatures at surface and surface j, respectvely (K). j Fg.3 Steady-state Heat Dstrbuton on Substrate Surface (after fve mnutes) (a) Front-Same Sde as Heatng Element; Back 4 Theoretcal Model 4.1 Defnton In general, there are three heat transfer mechansms that descrbe heat flow away from a heat source across a certan structure: conducton, convecton and radaton. Heat conducton s defned as the transfer of the heat through a sold when a temperature dfference exsts across the sold. Fourer's law of heat conducton states that the heat flux s proportonal to the temperature gradent n the specfed drecton n. The law s gven by q n " = k (1) n where q n s the magntude of the heat flux n the n drecton (W/m 2 ), k s thermal conductvty of materal (W/m.K) and T s the temperature (K). Heat convecton s the transfer of energy n the form of heat from a boundng surface to a flud and defnes the heat exchange condtons at the boundary of the sold body. Dependng upon the cause of the Usng Eqns 2 and 3 as well as sutable coeffcent values, the heat transfer rates were calculated for the nvestgated samples. It was found that heat transfer rate for convecton was approxmately ten tmes larger than that for radaton. In ths nvestgaton, heat radaton was neglected because the effect on the temperature wthn the heated area at 45 C was consderably small. Thus, t was acceptable to assume that the heat transfer was domnated by conducton and convecton. 4.2 Numercal Model Numercal soluton n ANSYS heat flow analyss s based on the frst law of thermodynamcs [11]. Ths law s used for descrbng the heat conducton and convecton wth dfferent boundary condtons appled durng the evaluaton. The formulaton of natural convecton equatons follows the same basc prncples that govern general flud moton. Further smplfcatons must be done to provde the soluton [12] whch results n the governng equaton for sotropc materal n terms of rectangular coordnates ρ C + v + v + v (4) p x y z t x y z T T T = q gen k x y z where v s velocty of mass transport of the heat, ρ s the densty of the sold, C p s the specfc heat, q gen s

4 heat generaton rate per unt volume, k s thermal conductvty, T s temperature and t s tme. The ANSYS model was meshed before applyng any load. Ths s an mportant step n analyss as fner meshng results n more accurate solutons, but t demands more computatonal tme for the soluton. The meshed model of the heated area s shown n Fg. 4. Fg.4 Meshed Model A heat generaton load was appled to the heatng element model. The ntal load was obtaned from usng the resultant values evaluated from the power measured n pror experments as shown n Fg, 5. It was mportant to assume that the effectve volume of the heatng element was the same as that of the model. Power [W] Tme [s] Fg.5 Measured Power to Heatng Element for Frst Mnute The second stage of applyng loads on the model was the heat convecton from the substrate to the surroundng ar. Heat convecton was characterzed by the flm coeffcent and the bulk temperature of ambent ar. The flm coeffcent depends on the physcal geometry and the flud thermo-physcal propertes. Typcal values for ar natural flow are n the range of 2 to 30 W/m 2.K [12]. Due to numerous random varables whch nfluenced convecton, t was essental to smplfy the consderatons. Wth that, several flm coeffcent values were used n the model. It was found that the most sutable value for the flm coeffcent was 15 W/m 2.K. The bulk temperature of ambent ar n the model was set at the average room temperature of 22 C. 4.3 Theoretcal Results The transent analyss showed the heat transfer over the sensor wth respect to tme. It was necessary to perform ths analyss to verfy that the crtcal temperature of the model was not exceeded on the substrate upon the stablzaton of the heat dstrbuton. The maxmum temperature was stablzed approxmately after the frst mnute and therefore t was adequate to carry out the modelng for ths perod. (a) 45 C 43 C 41 C Fg.4 Meshed Model Fg.6 Transent Analyss after (a) 5 s, 30 s Applyng the ntal heat generaton load as determned from Fg. 5, the transent responses after 5 s and 30 s of operaton are llustrated n Fg. 6. It can be seen that the maxmum temperature of C begns at the mddle regon of the heatng element (n the x-axs drecton). The change n shade generally depcts 1 C change n temperature. After 30 s, the area around the heatng element reached requred transcutaneous levels. Fg.7 Steady-state Analyss

5 The steady-state analyss was also carred out. A constant supply of power load was appled to the heatng element. The value of W was determned from averagng the expermental results. Hence, the correspondng heat generaton of 1.045x109 W/m 3 was appled. The graphcal result of the steady-state analyss s presented n Fg. 7. followed smlar trends. Therefore, the ANSYS analyss can be employed effectvely for the modelng of the temperature dstrbuton and analyss of the temperature unformty on the substrate. 5 Dscusson 5.1 Compare Expermental and Theoretcal Results Several heaters were fabrcated and measured wth the IR camera. The expermental results were compared wth the theoretcal mathematcal model of the sensor. The am was to valdate the model of temperature dstrbuton and to establsh the knd of ANSYS analyss that would be deal for comparson between theoretcal desgn and practcal applcaton. The transent analyss s shown n Fg. 8 wth each shade representng a varaton of 0.5 C and 1 C for the expermental and theoretcal results respectvely. It was noted that the temperature dstrbuton n the desgnated sensng area was uneven although the heatng element pattern was relatvely unform. The rate of the temperature change was lowest n the area on the upper edge of the heatng element. Further away from the heated area near the contact pads, the rate of temperature change ncreased and ths suggested that the area would not be sutable for blood gas measurements whch requred a stable transcutaneous temperature C 46 C Fg.9 Comparson of Steady-state Response for (a) Expermental, Theoretcal 5.2 Analyss of the Results The modeled substrate was desgned wth the same dmensons as that of the real substrate. The propertes of the materal used were practcal values from the manufacturer s specfcatons. However, due to estmatons and smplfcatons, dfferences between the mathematcal model and the real sensor, such as the flm coeffcent values, were present. Several assumptons had to be also made durng the desgn process of the model. Frstly, as llustrated n Fg. 10, the cross-secton of the thck flm heatng element s not a basc geometrcal shape, apparently to some extend t s hemsphercal C 46 C Fg.8 Comparson of Transent Response for (a) Expermental, Theoretcal As seen from the mages n Fg. 9, the steadystate temperature dstrbuton obtaned from the modelng and experments are smlar. The temperature dstrbutons were also comparable to that of the transent analyss (n Fg. 8). Although there were dstnct dfferences n the magntude of temperatures denoted by the dfferent shades, the characterstc of the temperature dstrbutons Fg.10 Cross-secton of the Actual Thck Flm Heatng Element The thckness of the element was not constant and t was dffcult to acheve the actual model of ts shape. Hence, a smple rectangle was used nstead as shown n Fg. 11. Ths smplfcaton could have caused the dfferences between the theoretcal and theoretcal results. The naccuraces n the heat generaton would subsequently emerge.

6 Fg.11 Cross-secton of the Rectangular Representaton of the Heatng Element The effect of overlappng contacts desgn between two thck flm lnes was another mportant assumpton, as descrbed n Fg. 12. For the thermal representaton, t was possble to estmate that the area wth two overlyng layers has almost the same propertes for heat transfer as that of a sngle layer at the same poston. All assumptons have been used n order to smplfy the desgn of the model. Subsequently, a faster and smpler mathematcal soluton was reached. (a) Fg.12 (a) Overlapped Thck Flm Materal, Smplfed Representaton 6 Concluson The transent and steady-state temperature dstrbutons of the heater module of the transcutaneous gas sensor were evaluated expermentally and theoretcally. From the experments, t was found that the dstrbuton was not unform n the mddle of the heatng element. The optmum poston for transcutaneous measurement was at the top edge of the heatng element. The maxmum temperature on the substrate was measured and evaluated to be approxmately 46 C. The theoretcal temperature dstrbuton obtaned from the model gave relatvely good representaton of the actual physcal heatng element. Although dfferent maxmum temperatures were observed, the dstrbuton trends were comparable for both the expermental result and model. Smplfcatons had been carred out durng the development of the model. Supported wth the measurements made from the IR camera, the errors due to assumptons were mnmzed for the ANSYS model. Therefore n concluson, the model proved to be useful for creatng new heater desgns. References: [1]M. L. Topfer, Thck-Flm Mcroelectroncs- Fabrcaton, Desgn and Applcaton, Ltton Educatonal Publshng Inc., [2]L. J. Grazan, A. R. Sptzer, D. G. Mtchell, D. A. Merton, C. Stanley, N. Robnson, L. McKee, Mechancal Ventlaton n Preterm Infants: Neurosonographc and Developmental Studes, Pedatrcs, 90, 1992, pp [3]S. Keston, Kenneth R. Chapman, Anthony S. Rebuck, Response Characterstcs of a Dual Transcutaneous Oxygen/Carbon Doxde Montorng System, Chest, 99, 1991, pp [4]F. Manaco, B. G. Nckerson, J. C. McQutty, Contnuous Transcutaneous Oxygen and Carbon Doxde Montorng n the Pedatrc ICU, Crtcal Care Medcne, 10 (11), 1982, pp [5]J. Bílek, Thck Flm Heatng Element and Desgn of Temperature Control Crcut, Dploma Thess, FEEC, Brno Unversty of Technology, Brno, [6]Y. Z. Lam, J. K. Atknson, A screen-prnted transcutaneous oxygen sensor employng polymer electrolytes, IEE-Medcal, Bologcal and Computng Engneerng Journal, Volume 41, No.4, pp , July [7]Electro-Scence Laboratores, Inc., Data sheet for ESL-5545, Cermet Platnum Paste. [8]B. Boyce, J. Lesnak, Unque Applcatons of Thermoelastc Stress Analyss, Socety for Expermental Mechancs, [9]M. Santo-Zarnk, Some Applcatons of Thckflm Stran Gauge: Thermal Modellng and Optmsaton of Hybrd Thck-Flm Structures, IMAPS Poland Conference, [10]O. Lofgren, L. Jacobson, The Influence of Dfferent Electrode Temperatures on the Recorded Transcutaneous PO2 Level, Pedatrcs, 64 (6), 1979, pp [11]Taftan Data, The Frst Law of Thermodynamcs,1998, HTM [12]S. Kakaç, R. K. Shah, W. Aung, Handbook of Sngle-phase Convectve Heat Transfer, Wley, 1987, pp.1-7.

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850)

Thermal-Fluids I. Chapter 18 Transient heat conduction. Dr. Primal Fernando Ph: (850) hermal-fluds I Chapter 18 ransent heat conducton Dr. Prmal Fernando prmal@eng.fsu.edu Ph: (850) 410-6323 1 ransent heat conducton In general, he temperature of a body vares wth tme as well as poston. In

More information

Numerical Heat and Mass Transfer

Numerical Heat and Mass Transfer Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and

More information

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient

Lab 2e Thermal System Response and Effective Heat Transfer Coefficient 58:080 Expermental Engneerng 1 OBJECTIVE Lab 2e Thermal System Response and Effectve Heat Transfer Coeffcent Warnng: though the experment has educatonal objectves (to learn about bolng heat transfer, etc.),

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

ONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00

ONE DIMENSIONAL TRIANGULAR FIN EXPERIMENT. Technical Advisor: Dr. D.C. Look, Jr. Version: 11/03/00 ONE IMENSIONAL TRIANGULAR FIN EXPERIMENT Techncal Advsor: r..c. Look, Jr. Verson: /3/ 7. GENERAL OJECTIVES a) To understand a one-dmensonal epermental appromaton. b) To understand the art of epermental

More information

2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011

2010 Black Engineering Building, Department of Mechanical Engineering. Iowa State University, Ames, IA, 50011 Interface Energy Couplng between -tungsten Nanoflm and Few-layered Graphene Meng Han a, Pengyu Yuan a, Jng Lu a, Shuyao S b, Xaolong Zhao b, Yanan Yue c, Xnwe Wang a,*, Xangheng Xao b,* a 2010 Black Engneerng

More information

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018

MATH 5630: Discrete Time-Space Model Hung Phan, UMass Lowell March 1, 2018 MATH 5630: Dscrete Tme-Space Model Hung Phan, UMass Lowell March, 08 Newton s Law of Coolng Consder the coolng of a well strred coffee so that the temperature does not depend on space Newton s law of collng

More information

A PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY.

A PROCEDURE FOR SIMULATING THE NONLINEAR CONDUCTION HEAT TRANSFER IN A BODY WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY. Proceedngs of the th Brazlan Congress of Thermal Scences and Engneerng -- ENCIT 006 Braz. Soc. of Mechancal Scences and Engneerng -- ABCM, Curtba, Brazl,- Dec. 5-8, 006 A PROCEDURE FOR SIMULATING THE NONLINEAR

More information

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD

THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS OF A TELESCOPIC HYDRAULIC CYLINDER SUBJECTED TO EULER S LOAD Journal of Appled Mathematcs and Computatonal Mechancs 7, 6(3), 7- www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.3. e-issn 353-588 THE EFFECT OF TORSIONAL RIGIDITY BETWEEN ELEMENTS ON FREE VIBRATIONS

More information

Numerical Transient Heat Conduction Experiment

Numerical Transient Heat Conduction Experiment Numercal ransent Heat Conducton Experment OBJECIVE 1. o demonstrate the basc prncples of conducton heat transfer.. o show how the thermal conductvty of a sold can be measured. 3. o demonstrate the use

More information

Introduction to Computational Fluid Dynamics

Introduction to Computational Fluid Dynamics Introducton to Computatonal Flud Dynamcs M. Zanub 1, T. Mahalakshm 2 1 (PG MATHS), Department of Mathematcs, St. Josephs College of Arts and Scence for Women-Hosur, Peryar Unversty 2 Assstance professor,

More information

Global Sensitivity. Tuesday 20 th February, 2018

Global Sensitivity. Tuesday 20 th February, 2018 Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values

More information

STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS

STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Blucher Mechancal Engneerng Proceedngs May 0, vol., num. www.proceedngs.blucher.com.br/evento/0wccm STUDY ON TWO PHASE FLOW IN MICRO CHANNEL BASED ON EXPERI- MENTS AND NUMERICAL EXAMINATIONS Takahko Kurahash,

More information

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES

EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES EVALUATION OF THE VISCO-ELASTIC PROPERTIES IN ASPHALT RUBBER AND CONVENTIONAL MIXES Manuel J. C. Mnhoto Polytechnc Insttute of Bragança, Bragança, Portugal E-mal: mnhoto@pb.pt Paulo A. A. Perera and Jorge

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons

More information

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body

χ x B E (c) Figure 2.1.1: (a) a material particle in a body, (b) a place in space, (c) a configuration of the body Secton.. Moton.. The Materal Body and Moton hyscal materals n the real world are modeled usng an abstract mathematcal entty called a body. Ths body conssts of an nfnte number of materal partcles. Shown

More information

STUDY OF A THREE-AXIS PIEZORESISTIVE ACCELEROMETER WITH UNIFORM AXIAL SENSITIVITIES

STUDY OF A THREE-AXIS PIEZORESISTIVE ACCELEROMETER WITH UNIFORM AXIAL SENSITIVITIES STUDY OF A THREE-AXIS PIEZORESISTIVE ACCELEROMETER WITH UNIFORM AXIAL SENSITIVITIES Abdelkader Benchou, PhD Canddate Nasreddne Benmoussa, PhD Kherreddne Ghaffour, PhD Unversty of Tlemcen/Unt of Materals

More information

A large scale tsunami run-up simulation and numerical evaluation of fluid force during tsunami by using a particle method

A large scale tsunami run-up simulation and numerical evaluation of fluid force during tsunami by using a particle method A large scale tsunam run-up smulaton and numercal evaluaton of flud force durng tsunam by usng a partcle method *Mtsuteru Asa 1), Shoch Tanabe 2) and Masaharu Isshk 3) 1), 2) Department of Cvl Engneerng,

More information

Constitutive Modelling of Superplastic AA-5083

Constitutive Modelling of Superplastic AA-5083 TECHNISCHE MECHANIK, 3, -5, (01, 1-6 submtted: September 19, 011 Consttutve Modellng of Superplastc AA-5083 G. Gulano In ths study a fast procedure for determnng the constants of superplastc 5083 Al alloy

More information

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM

ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look

More information

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS

More information

Principles of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer

Principles of Food and Bioprocess Engineering (FS 231) Solutions to Example Problems on Heat Transfer Prncples of Food and Boprocess Engneerng (FS 31) Solutons to Example Problems on Heat Transfer 1. We start wth Fourer s law of heat conducton: Q = k A ( T/ x) Rearrangng, we get: Q/A = k ( T/ x) Here,

More information

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM

DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM Ganj, Z. Z., et al.: Determnaton of Temperature Dstrbuton for S111 DETERMINATION OF TEMPERATURE DISTRIBUTION FOR ANNULAR FINS WITH TEMPERATURE DEPENDENT THERMAL CONDUCTIVITY BY HPM by Davood Domr GANJI

More information

829. An adaptive method for inertia force identification in cantilever under moving mass

829. An adaptive method for inertia force identification in cantilever under moving mass 89. An adaptve method for nerta force dentfcaton n cantlever under movng mass Qang Chen 1, Mnzhuo Wang, Hao Yan 3, Haonan Ye 4, Guola Yang 5 1,, 3, 4 Department of Control and System Engneerng, Nanng Unversty,

More information

The Analysis of Convection Experiment

The Analysis of Convection Experiment Internatonal Conference on Appled Scence and Engneerng Innovaton (ASEI 5) The Analyss of Convecton Experment Zlong Zhang School of North Chna Electrc Power Unversty, Baodng 7, Chna 469567@qq.com Keywords:

More information

Inductance Calculation for Conductors of Arbitrary Shape

Inductance Calculation for Conductors of Arbitrary Shape CRYO/02/028 Aprl 5, 2002 Inductance Calculaton for Conductors of Arbtrary Shape L. Bottura Dstrbuton: Internal Summary In ths note we descrbe a method for the numercal calculaton of nductances among conductors

More information

The Finite Element Method

The Finite Element Method The Fnte Element Method GENERAL INTRODUCTION Read: Chapters 1 and 2 CONTENTS Engneerng and analyss Smulaton of a physcal process Examples mathematcal model development Approxmate solutons and methods of

More information

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites

An identification algorithm of model kinetic parameters of the interfacial layer growth in fiber composites IOP Conference Seres: Materals Scence and Engneerng PAPER OPE ACCESS An dentfcaton algorthm of model knetc parameters of the nterfacal layer growth n fber compostes o cte ths artcle: V Zubov et al 216

More information

x = , so that calculated

x = , so that calculated Stat 4, secton Sngle Factor ANOVA notes by Tm Plachowsk n chapter 8 we conducted hypothess tests n whch we compared a sngle sample s mean or proporton to some hypotheszed value Chapter 9 expanded ths to

More information

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD

COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD COMPOSITE BEAM WITH WEAK SHEAR CONNECTION SUBJECTED TO THERMAL LOAD Ákos Jósef Lengyel, István Ecsed Assstant Lecturer, Professor of Mechancs, Insttute of Appled Mechancs, Unversty of Mskolc, Mskolc-Egyetemváros,

More information

Statistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA

Statistical Energy Analysis for High Frequency Acoustic Analysis with LS-DYNA 14 th Internatonal Users Conference Sesson: ALE-FSI Statstcal Energy Analyss for Hgh Frequency Acoustc Analyss wth Zhe Cu 1, Yun Huang 1, Mhamed Soul 2, Tayeb Zeguar 3 1 Lvermore Software Technology Corporaton

More information

VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES

VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES VARIATION OF CONSTANT SUM CONSTRAINT FOR INTEGER MODEL WITH NON UNIFORM VARIABLES BÂRZĂ, Slvu Faculty of Mathematcs-Informatcs Spru Haret Unversty barza_slvu@yahoo.com Abstract Ths paper wants to contnue

More information

CHAPTER 9 CONCLUSIONS

CHAPTER 9 CONCLUSIONS 78 CHAPTER 9 CONCLUSIONS uctlty and structural ntegrty are essentally requred for structures subjected to suddenly appled dynamc loads such as shock loads. Renforced Concrete (RC), the most wdely used

More information

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS

NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc

More information

The Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites

The Two-scale Finite Element Errors Analysis for One Class of Thermoelastic Problem in Periodic Composites 7 Asa-Pacfc Engneerng Technology Conference (APETC 7) ISBN: 978--6595-443- The Two-scale Fnte Element Errors Analyss for One Class of Thermoelastc Problem n Perodc Compostes Xaoun Deng Mngxang Deng ABSTRACT

More information

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers

Psychology 282 Lecture #24 Outline Regression Diagnostics: Outliers Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.

More information

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests

Simulated Power of the Discrete Cramér-von Mises Goodness-of-Fit Tests Smulated of the Cramér-von Mses Goodness-of-Ft Tests Steele, M., Chaselng, J. and 3 Hurst, C. School of Mathematcal and Physcal Scences, James Cook Unversty, Australan School of Envronmental Studes, Grffth

More information

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate

(Online First)A Lattice Boltzmann Scheme for Diffusion Equation in Spherical Coordinate Internatonal Journal of Mathematcs and Systems Scence (018) Volume 1 do:10.494/jmss.v1.815 (Onlne Frst)A Lattce Boltzmann Scheme for Dffuson Equaton n Sphercal Coordnate Debabrata Datta 1 *, T K Pal 1

More information

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity

Module 1 : The equation of continuity. Lecture 1: Equation of Continuity 1 Module 1 : The equaton of contnuty Lecture 1: Equaton of Contnuty 2 Advanced Heat and Mass Transfer: Modules 1. THE EQUATION OF CONTINUITY : Lectures 1-6 () () () (v) (v) Overall Mass Balance Momentum

More information

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH

Turbulence classification of load data by the frequency and severity of wind gusts. Oscar Moñux, DEWI GmbH Kevin Bleibler, DEWI GmbH Turbulence classfcaton of load data by the frequency and severty of wnd gusts Introducton Oscar Moñux, DEWI GmbH Kevn Blebler, DEWI GmbH Durng the wnd turbne developng process, one of the most mportant

More information

Uncertainty and auto-correlation in. Measurement

Uncertainty and auto-correlation in. Measurement Uncertanty and auto-correlaton n arxv:1707.03276v2 [physcs.data-an] 30 Dec 2017 Measurement Markus Schebl Federal Offce of Metrology and Surveyng (BEV), 1160 Venna, Austra E-mal: markus.schebl@bev.gv.at

More information

Lifetime prediction of EP and NBR rubber seal by thermos-viscoelastic model

Lifetime prediction of EP and NBR rubber seal by thermos-viscoelastic model ECCMR, Prague, Czech Republc; September 3 th, 2015 Lfetme predcton of EP and NBR rubber seal by thermos-vscoelastc model Kotaro KOBAYASHI, Takahro ISOZAKI, Akhro MATSUDA Unversty of Tsukuba, Japan Yoshnobu

More information

Chapter Newton s Method

Chapter Newton s Method Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve

More information

A Numerical Study of Heat Transfer and Fluid Flow past Single Tube

A Numerical Study of Heat Transfer and Fluid Flow past Single Tube A Numercal Study of Heat ransfer and Flud Flow past Sngle ube ZEINAB SAYED ABDEL-REHIM Mechancal Engneerng Natonal Research Center El-Bohos Street, Dokk, Gza EGYP abdelrehmz@yahoo.com Abstract: - A numercal

More information

HEAT TRANSFER THROUGH ANNULAR COMPOSITE FINS

HEAT TRANSFER THROUGH ANNULAR COMPOSITE FINS Journal of Mechancal Engneerng and Technology (JMET) Volume 4, Issue 1, Jan-June 2016, pp. 01-10, Artcle ID: JMET_04_01_001 Avalable onlne at http://www.aeme.com/jmet/ssues.asp?jtype=jmet&vtype=4&itype=1

More information

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products

modeling of equilibrium and dynamic multi-component adsorption in a two-layered fixed bed for purification of hydrogen from methane reforming products modelng of equlbrum and dynamc mult-component adsorpton n a two-layered fxed bed for purfcaton of hydrogen from methane reformng products Mohammad A. Ebrahm, Mahmood R. G. Arsalan, Shohreh Fatem * Laboratory

More information

Operating conditions of a mine fan under conditions of variable resistance

Operating conditions of a mine fan under conditions of variable resistance Paper No. 11 ISMS 216 Operatng condtons of a mne fan under condtons of varable resstance Zhang Ynghua a, Chen L a, b, Huang Zhan a, *, Gao Yukun a a State Key Laboratory of Hgh-Effcent Mnng and Safety

More information

DUE: WEDS FEB 21ST 2018

DUE: WEDS FEB 21ST 2018 HOMEWORK # 1: FINITE DIFFERENCES IN ONE DIMENSION DUE: WEDS FEB 21ST 2018 1. Theory Beam bendng s a classcal engneerng analyss. The tradtonal soluton technque makes smplfyng assumptons such as a constant

More information

HEAT TRANSFER IN ELECTRONIC PACKAGE SUBMITTED TO TIME-DEPENDANT CLIMATIC CONDITIONS

HEAT TRANSFER IN ELECTRONIC PACKAGE SUBMITTED TO TIME-DEPENDANT CLIMATIC CONDITIONS ISTP-16, 005, PRAGUE 16 TH INTERNATIONAL SYMPOSIUM ON TRANSPORT PHENOMENA HEAT TRANSFER IN ELECTRONIC PACKAGE SUBMITTED TO TIME-DEPENDANT CLIMATIC CONDITIONS Valére Ménard*, Phlppe Reulet**, Davd Nörtershäuser*,

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography

CSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve

More information

Numerical modelization by finite differences of a thermoelectric refrigeration device of double jump". Experimental validation.

Numerical modelization by finite differences of a thermoelectric refrigeration device of double jump. Experimental validation. Numercal modelzaton by fnte dfferences of a thermoelectrc refrgeraton devce of double jump". Expermental valdaton. A. Rodríguez, J.G. Ván, D. Astran, Dpto. Ingenería Mecánca, Energétca y de Materales.

More information

Gravitational Acceleration: A case of constant acceleration (approx. 2 hr.) (6/7/11)

Gravitational Acceleration: A case of constant acceleration (approx. 2 hr.) (6/7/11) Gravtatonal Acceleraton: A case of constant acceleraton (approx. hr.) (6/7/11) Introducton The gravtatonal force s one of the fundamental forces of nature. Under the nfluence of ths force all objects havng

More information

Mathematical Preparations

Mathematical Preparations 1 Introducton Mathematcal Preparatons The theory of relatvty was developed to explan experments whch studed the propagaton of electromagnetc radaton n movng coordnate systems. Wthn expermental error the

More information

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram

Adiabatic Sorption of Ammonia-Water System and Depicting in p-t-x Diagram Adabatc Sorpton of Ammona-Water System and Depctng n p-t-x Dagram J. POSPISIL, Z. SKALA Faculty of Mechancal Engneerng Brno Unversty of Technology Techncka 2, Brno 61669 CZECH REPUBLIC Abstract: - Absorpton

More information

One-sided finite-difference approximations suitable for use with Richardson extrapolation

One-sided finite-difference approximations suitable for use with Richardson extrapolation Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,

More information

Note 10. Modeling and Simulation of Dynamic Systems

Note 10. Modeling and Simulation of Dynamic Systems Lecture Notes of ME 475: Introducton to Mechatroncs Note 0 Modelng and Smulaton of Dynamc Systems Department of Mechancal Engneerng, Unversty Of Saskatchewan, 57 Campus Drve, Saskatoon, SK S7N 5A9, Canada

More information

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI

Study on Active Micro-vibration Isolation System with Linear Motor Actuator. Gong-yu PAN, Wen-yan GU and Dong LI 2017 2nd Internatonal Conference on Electrcal and Electroncs: echnques and Applcatons (EEA 2017) ISBN: 978-1-60595-416-5 Study on Actve Mcro-vbraton Isolaton System wth Lnear Motor Actuator Gong-yu PAN,

More information

Indeterminate pin-jointed frames (trusses)

Indeterminate pin-jointed frames (trusses) Indetermnate pn-jonted frames (trusses) Calculaton of member forces usng force method I. Statcal determnacy. The degree of freedom of any truss can be derved as: w= k d a =, where k s the number of all

More information

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed

Irregular vibrations in multi-mass discrete-continuous systems torsionally deformed (2) 4 48 Irregular vbratons n mult-mass dscrete-contnuous systems torsonally deformed Abstract In the paper rregular vbratons of dscrete-contnuous systems consstng of an arbtrary number rgd bodes connected

More information

Supplementary Notes for Chapter 9 Mixture Thermodynamics

Supplementary Notes for Chapter 9 Mixture Thermodynamics Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects

More information

Winter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan

Winter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan Wnter 2008 CS567 Stochastc Lnear/Integer Programmng Guest Lecturer: Xu, Huan Class 2: More Modelng Examples 1 Capacty Expanson Capacty expanson models optmal choces of the tmng and levels of nvestments

More information

Appendix B. The Finite Difference Scheme

Appendix B. The Finite Difference Scheme 140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton

More information

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors

An Algorithm to Solve the Inverse Kinematics Problem of a Robotic Manipulator Based on Rotation Vectors An Algorthm to Solve the Inverse Knematcs Problem of a Robotc Manpulator Based on Rotaton Vectors Mohamad Z. Al-az*, Mazn Z. Othman**, and Baker B. Al-Bahr* *AL-Nahran Unversty, Computer Eng. Dep., Baghdad,

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

Chapter - 2. Distribution System Power Flow Analysis

Chapter - 2. Distribution System Power Flow Analysis Chapter - 2 Dstrbuton System Power Flow Analyss CHAPTER - 2 Radal Dstrbuton System Load Flow 2.1 Introducton Load flow s an mportant tool [66] for analyzng electrcal power system network performance. Load

More information

This column is a continuation of our previous column

This column is a continuation of our previous column Comparson of Goodness of Ft Statstcs for Lnear Regresson, Part II The authors contnue ther dscusson of the correlaton coeffcent n developng a calbraton for quanttatve analyss. Jerome Workman Jr. and Howard

More information

Research & Reviews: Journal of Engineering and Technology

Research & Reviews: Journal of Engineering and Technology Research & Revews: Journal of Engneerng and Technology Case Study to Smulate Convectve Flows and Heat Transfer n Arcondtoned Spaces Hussen JA 1 *, Mazlan AW 1 and Hasanen MH 2 1 Department of Mechancal

More information

Electrical double layer: revisit based on boundary conditions

Electrical double layer: revisit based on boundary conditions Electrcal double layer: revst based on boundary condtons Jong U. Km Department of Electrcal and Computer Engneerng, Texas A&M Unversty College Staton, TX 77843-318, USA Abstract The electrcal double layer

More information

An Interactive Optimisation Tool for Allocation Problems

An Interactive Optimisation Tool for Allocation Problems An Interactve Optmsaton ool for Allocaton Problems Fredr Bonäs, Joam Westerlund and apo Westerlund Process Desgn Laboratory, Faculty of echnology, Åbo Aadem Unversty, uru 20500, Fnland hs paper presents

More information

Color Rendering Uncertainty

Color Rendering Uncertainty Australan Journal of Basc and Appled Scences 4(10): 4601-4608 010 ISSN 1991-8178 Color Renderng Uncertanty 1 A.el Bally M.M. El-Ganany 3 A. Al-amel 1 Physcs Department Photometry department- NIS Abstract:

More information

ESA modelling and cycle design

ESA modelling and cycle design ESA modellng and cycle desgn WP and WP 5 Unversty of Belgrade MATESA Dssemnaton day, Oslo 16.6.016 Motvaton Develop rgorous 3D models (CFD) to understand the processes, examne the nfluence of condtons

More information

Conduction Shape Factor Models for Three-Dimensional Enclosures

Conduction Shape Factor Models for Three-Dimensional Enclosures JOURNAL OF THERMOPHYSICS AND HEAT TRANSFER Vol. 19, No. 4, October December 005 Conducton Shape Factor Models for Three-Dmensonal Enclosures P. Teertstra, M. M. Yovanovch, and J. R. Culham Unversty of

More information

GeoSteamNet: 2. STEAM FLOW SIMULATION IN A PIPELINE

GeoSteamNet: 2. STEAM FLOW SIMULATION IN A PIPELINE PROCEEDINGS, Thrty-Ffth Workshop on Geothermal Reservor Engneerng Stanford Unversty, Stanford, Calforna, February 1-3, 010 SGP-TR-188 GeoSteamNet:. STEAM FLOW SIMULATION IN A PIPELINE Mahendra P. Verma

More information

Chapter 13: Multiple Regression

Chapter 13: Multiple Regression Chapter 13: Multple Regresson 13.1 Developng the multple-regresson Model The general model can be descrbed as: It smplfes for two ndependent varables: The sample ft parameter b 0, b 1, and b are used to

More information

Calculating the Quasi-static Pressures of Confined Explosions Considering Chemical Reactions under the Constant Entropy Assumption

Calculating the Quasi-static Pressures of Confined Explosions Considering Chemical Reactions under the Constant Entropy Assumption Appled Mechancs and Materals Onlne: 202-04-20 ISS: 662-7482, ol. 64, pp 396-400 do:0.4028/www.scentfc.net/amm.64.396 202 Trans Tech Publcatons, Swtzerland Calculatng the Quas-statc Pressures of Confned

More information

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems

Application of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &

More information

Chapter 11: Simple Linear Regression and Correlation

Chapter 11: Simple Linear Regression and Correlation Chapter 11: Smple Lnear Regresson and Correlaton 11-1 Emprcal Models 11-2 Smple Lnear Regresson 11-3 Propertes of the Least Squares Estmators 11-4 Hypothess Test n Smple Lnear Regresson 11-4.1 Use of t-tests

More information

OPTIMISATION. Introduction Single Variable Unconstrained Optimisation Multivariable Unconstrained Optimisation Linear Programming

OPTIMISATION. Introduction Single Variable Unconstrained Optimisation Multivariable Unconstrained Optimisation Linear Programming OPTIMIATION Introducton ngle Varable Unconstraned Optmsaton Multvarable Unconstraned Optmsaton Lnear Programmng Chapter Optmsaton /. Introducton In an engneerng analss, sometmes etremtes, ether mnmum or

More information

Basic Statistical Analysis and Yield Calculations

Basic Statistical Analysis and Yield Calculations October 17, 007 Basc Statstcal Analyss and Yeld Calculatons Dr. José Ernesto Rayas Sánchez 1 Outlne Sources of desgn-performance uncertanty Desgn and development processes Desgn for manufacturablty A general

More information

Tensor Smooth Length for SPH Modelling of High Speed Impact

Tensor Smooth Length for SPH Modelling of High Speed Impact Tensor Smooth Length for SPH Modellng of Hgh Speed Impact Roman Cherepanov and Alexander Gerasmov Insttute of Appled mathematcs and mechancs, Tomsk State Unversty 634050, Lenna av. 36, Tomsk, Russa RCherepanov82@gmal.com,Ger@npmm.tsu.ru

More information

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN

COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN Int. J. Chem. Sc.: (4), 04, 645654 ISSN 097768X www.sadgurupublcatons.com COEFFICIENT DIAGRAM: A NOVEL TOOL IN POLYNOMIAL CONTROLLER DESIGN R. GOVINDARASU a, R. PARTHIBAN a and P. K. BHABA b* a Department

More information

Lattice Boltzmann simulation of nucleate boiling in micro-pillar structured surface

Lattice Boltzmann simulation of nucleate boiling in micro-pillar structured surface Proceedngs of the Asan Conference on Thermal Scences 017, 1st ACTS March 6-30, 017, Jeju Island, Korea ACTS-P00545 Lattce Boltzmann smulaton of nucleate bolng n mcro-pllar structured surface Png Zhou,

More information

Determining the Temperature Distributions of Fire Exposed Reinforced Concrete Cross-Sections with Different Methods

Determining the Temperature Distributions of Fire Exposed Reinforced Concrete Cross-Sections with Different Methods Research Journal of Envronmental and Earth Scences 4(8): 782-788, 212 ISSN: 241-492 Maxwell Scentfc Organzaton, 212 Submtted: May 21, 212 Accepted: June 23, 212 Publshed: August 2, 212 Determnng the Temperature

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

More information

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model

Energy, Entropy, and Availability Balances Phase Equilibria. Nonideal Thermodynamic Property Models. Selecting an Appropriate Model Lecture 4. Thermodynamcs [Ch. 2] Energy, Entropy, and Avalablty Balances Phase Equlbra - Fugactes and actvty coeffcents -K-values Nondeal Thermodynamc Property Models - P-v-T equaton-of-state models -

More information

Linear Regression Analysis: Terminology and Notation

Linear Regression Analysis: Terminology and Notation ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented

More information

The Geometry of Logit and Probit

The Geometry of Logit and Probit The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.

More information

Chapter 6. Supplemental Text Material

Chapter 6. Supplemental Text Material Chapter 6. Supplemental Text Materal S6-. actor Effect Estmates are Least Squares Estmates We have gven heurstc or ntutve explanatons of how the estmates of the factor effects are obtaned n the textboo.

More information

2016 Wiley. Study Session 2: Ethical and Professional Standards Application

2016 Wiley. Study Session 2: Ethical and Professional Standards Application 6 Wley Study Sesson : Ethcal and Professonal Standards Applcaton LESSON : CORRECTION ANALYSIS Readng 9: Correlaton and Regresson LOS 9a: Calculate and nterpret a sample covarance and a sample correlaton

More information

The optimal delay of the second test is therefore approximately 210 hours earlier than =2.

The optimal delay of the second test is therefore approximately 210 hours earlier than =2. THE IEC 61508 FORMULAS 223 The optmal delay of the second test s therefore approxmately 210 hours earler than =2. 8.4 The IEC 61508 Formulas IEC 61508-6 provdes approxmaton formulas for the PF for smple

More information

NUMERICAL RESULTS QUALITY IN DEPENDENCE ON ABAQUS PLANE STRESS ELEMENTS TYPE IN BIG DISPLACEMENTS COMPRESSION TEST

NUMERICAL RESULTS QUALITY IN DEPENDENCE ON ABAQUS PLANE STRESS ELEMENTS TYPE IN BIG DISPLACEMENTS COMPRESSION TEST Appled Computer Scence, vol. 13, no. 4, pp. 56 64 do: 10.23743/acs-2017-29 Submtted: 2017-10-30 Revsed: 2017-11-15 Accepted: 2017-12-06 Abaqus Fnte Elements, Plane Stress, Orthotropc Materal Bartosz KAWECKI

More information

Influential Factors Affecting Inherent Deformation during Plate Forming by Line Heating (Report 1)

Influential Factors Affecting Inherent Deformation during Plate Forming by Line Heating (Report 1) Transactons of JWRI, Vol.36 (2007), No.1 Influental Factors Affectng Inherent Deformaton durng Plate Formng by Lne Heatng (Report 1) The Effect of Plate Sze and Edge Effect VEGA Adan*, RASHED Sherf**,

More information

4DVAR, according to the name, is a four-dimensional variational method.

4DVAR, according to the name, is a four-dimensional variational method. 4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The

More information

OPTIMAL DESIGN OF VISCOELASTIC COMPOSITES WITH PERIODIC MICROSTRUCTURES

OPTIMAL DESIGN OF VISCOELASTIC COMPOSITES WITH PERIODIC MICROSTRUCTURES OPTIMAL DESIN OF VISCOELASTIC COMPOSITES WITH PERIODIC MICROSTRUCTURES eong-moo 1, Sang-Hoon Park 2, and Sung-Ke oun 2 1 Space Technology Dvson, Korea Aerospace Research Insttute, usung P.O. Box 3, Taejon,

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

High resolution entropy stable scheme for shallow water equations

High resolution entropy stable scheme for shallow water equations Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal

More information

A Simple Inventory System

A Simple Inventory System A Smple Inventory System Lawrence M. Leems and Stephen K. Park, Dscrete-Event Smulaton: A Frst Course, Prentce Hall, 2006 Hu Chen Computer Scence Vrgna State Unversty Petersburg, Vrgna February 8, 2017

More information

Chapter 9: Statistical Inference and the Relationship between Two Variables

Chapter 9: Statistical Inference and the Relationship between Two Variables Chapter 9: Statstcal Inference and the Relatonshp between Two Varables Key Words The Regresson Model The Sample Regresson Equaton The Pearson Correlaton Coeffcent Learnng Outcomes After studyng ths chapter,

More information