DEVELOPMENT OF A MATHEMATICAL MODEL FOR SIMULATION OF COAL CRUSHING IN A HAMMER MILL
|
|
- Belinda Walker
- 5 years ago
- Views:
Transcription
1 Proceedngs of the XI Internatonal Semnar on Mneral Processng Technology (MPT-200) Edtors: R. Sngh, A. Das, P.K. Baneree, K.K. Bhattacharyya and N.G. Goswam NML Jamshedur, DEVELOPMENT OF A MATHEMATICAL MODEL FOR SIMULATION OF COAL CRUSHING IN A HAMMER MILL Avnash Trath, Ashsh Agrawal and V.K. Guta Deartment of Fuel and Mneral Engneerng Indan School of Mnes, Dhanbad , Inda ABSTRACT Usng the basc sze-mass balance sze reducton model for a contnuous crushng oeraton and nvokng the concet of a erfectly mxed system, a mathematcal relatonsh has been obtaned between the feed and roduct sze dstrbutons for a hammer mll. The model arameters breakage dstrbuton functon for dfferent sze fractons of a Prme Cokng Coal and an morted coal were determned by conductng arorate tests n a laboratory hammer mll. Usng data generated n the Rourkela Steel Plant on a Producton hammer mll, varaton of the second set of model arameters, absolute rate of breakage of artcles of each sze class, wth coal feed rate to the mll was establshed. Analyss of the data generated n the lant has shown that only +0 mm artcles of the morted coal broke faster than the PCC artcles of the same sze. The develoed mathematcal model can be used to stmulate the erformance of the crushng lant n resect of the effect of feed sze dstrbuton and feed rate, and for takng control acton for keeng the roduct fneness constant by adustng the coal feed rate to the hammer mll. Keywords: Hammer mll, Coal crushng, Mathematcal model, Sze-mass balance, Product sze dstrbuton control. INTRODUCTION At steel lants, for roducton of coke n the coke ovens the coal receved from coal mnes s crushed to a desred degree of fneness. Sze dstrbuton of the coal charged to the coke ovens has a sgnfcant effect on the qualty of the coke roduced as both the oversze and undersze artcles are detrmental to coke qualty. Thus, control of the coal crushng oeraton s a task of consderable mortance. In Inda, generally hammer mlls are used for crushng of coal. And, the sze dstrbuton of the crushed coal s secfed as: % assng 3 mm (80 82%) and % assng 0.5 mm (30 35%). Determnaton of the otmum values of the oeratng arameters through smulaton of the rocess erformance wth the hel of a mathematcal model s now a well establshed ractce. In vew of these facts, a mathematcal model s resented n ths aer for smulatng crushng of coal n hammer mlls. MODEL DEVELOPMENT [, 2] Breakage knetcs n most mlls can be descrbed by a frst order reacton rate exresson:, dh / dt = r h + b r h () 343
2 AVINASH TRIPATHI, ASHISH AGRAWAL and V.K. GUPTA where, r : breakage rate constant for artcles of sze class. t : tme h : weght fracton of mll holdu of solds (coal) n the seve sze nterval at any gven tme t. b, : breakage dstrbuton arameter, weght fracton of artcles of sze class that reorts to sze class after undergong breakage. For convenence, let us defne a modfed breakage dstrbuton functon, b,, known as ractcal breakage dstrbuton functon n the lterature, as: [3] b b ( b, =,, ) (2) where, b, : modfed breakage dstrbuton arameter-weght fracton of artcles leavng sze class that reorts to sze class after undergong breakage. b, : breakage dstrbuton arameter- weght fracton of artcles of sze class that reorts to sze class after undergong breakage. The corresondng breakage rate constant s defned as:, r = r ( b ) (3) where r s modfed breakage rate constant for artcles of sze class, hr. Thus,, rb, rb = (4) For a steady state oeraton we can wrte: Rate of entry Rate of breakage Rate of Producton Rate of ext = 0, Ff Fh Hr h + Hr b, h = 0 = where, F : feed rate of coal to hammer mll, t/hr. H : total weght of coal artcles n the mll. f : weght fractons of sze artcles n the feed to the hammer mll. (5) Notng that for a fully mxed mll, as s the case wth a hammer mll, we have h = (6) Ff F Hr + Hr b, = 0 = (7) where s weght fracton of artcles of sze class n the mll dscharge (roduct). Rearrangng we obtan, 344
3 f + (f )b, = = + r τ (8) where, τ = H/F, s known as the mean resdence tme of coal artcles n the mll. For smulaton uroses, the task can now be defned as: quantfcaton of the effect of feed rate on the mathematcal model arameters b and r'. As shown by a number of researchers, [4] generally b arameters are not affected arecably by the feed rate (or more correctly, the hold u of the solds n the mll, whch ncreases wth feed rate). Further, t should be onted out that t was not ossble to measure the mll hold-u weght of coal, only the roduct r H or r τ could be estmated (.e. each r value multled by a constant H or τ), not the r value alone. However, the term r H has the secal sgnfcance as t reresents the absolute rate of breakage of sze artcles n the mll n tons/hour. [5, 6] For these two ont arameters we have the followng relatonshs: or, (f ) + (f )b, = r τ= (9) F r H = (f ) (f )b +, (0) = EXPERIMENTAL Plant tests Tests were conducted on one of the two secondary hammer mlls of the mllon ton coal handlng faclty of the Rourkela Steel Plant. [7] Samles of the mll feed and dscharge were collected only durng those erods when lant was observed to be runnng under near steady state condtons (as reflected from the load and the sze dstrbuton of coal on the conveyor carryng the mll dscharge). For better accuracy n the results, samles collecton was done at two locatons on the conveyor. Deendng on the feed rate, the weght of each test samle vared from 20 to 30 kg. The weghts of the feed and dscharge samles were found to be nearly same as would be exected under steady state condtons. In some cases two samles of feed were taken one before takng the dscharge samle and the other afterwards. The dfference n the sze dstrbutons of two samles was found to be ractcally neglgble. In ths way, t was ensured that near steady state condtons revaled durng the tests. For the Prme Cokng Coal (PCC), four sets of the feed and roduct (dscharge) sze dstrbuton data could be generated corresondng to feed rates: 73, 93, 60 and 269 t/hr. Data on Imorted coal corresonded to 95 and 224 t/hr. 345
4 Laboratory exerments AVINASH TRIPATHI, ASHISH AGRAWAL and V.K. GUPTA To determne the breakage dstrbuton functon for two tyes of coal, exerments were carred out n a laboratory hammer mll (2 nch dameter 3n. wdth) As the mll had bg rectangular slots all along ts erhery, t was argued that when fed slowly, feed artcles wll undergo breakage only once durng ther assage through the mll. Thus, f only one selected sze fracton of coal s fed to the hammer mll, the mll dscharge sze dstrbuton should corresond to the breakage dstrbuton functon, b, of ths sze fracton. For ths urose, test samles of crushed PCC and morted coal were screened to obtan +0, 6/0, 3/6 and /3 mm sze fractons. About 400 g of each sze fracton was slowly fed to the mll searately. The mll dscharge thus obtaned was screened usng the same seres of screens. b values could be calculated from ths data as dscussed above. RESULTS Breakage dstrbuton functons, b,, for PCC and Imorted coals as obtaned from the laboratory hammer mll test results and eq. (2) are gven n Tables and 2. Varaton of r H wth feed rate s shown n Fg. for all the four sze classes under consderaton: () + 0 mm, (2) 6 0 mm, (3) 3 6 mm, and (4) 3 mm. It wll be seen that deendng on the artcle sze, the absolute rate of breakage ntally ether decreases (for +0 mm artcles) or ncreases ( for the remanng three fner sze fractons) wth ncrease n the feed rate, and beyond about 75 t/hr feed rate there s ractcally no change,.e. r H = K, F > 75 t/hr () where K s a mll-materal constant for sze fracton. Table : Breakage dstrbuton matrx, b,, for PCC Coal Sze b, nterval Feed sze (mm) Table 2: Breakage dstrbuton matrx, b,, for morted coal Sze b, nterval (mm) Feed sze
5 As can be seen n eq. (8), t s the arameter r τ that drectly relates to f. Esecally, n the case of to sze (+0 mm) and the second sze (for whch b 2, = 0) eq. (8) smlfes to, = f ( + r τ ) (2) 2 = f 2 (+ r 2τ ) (3) Ths means that a fracton /( + r τ) of feed of sze class remans unbroken. And, smlarly a fracton /( + r2τ) of sze class 2 remans unbroken. Fgure 2 shows varaton of r τ wth feed rate for the four sze fractons under consderaton. It wll be seen that: () r τ wth feed rate qute sharly (sharer than the rate of declne observed n case of rh), () r 2 τ decreases wth ncrease n feed rate, though at a much slower rate than that observed n case of r τ (whle r 2 H was observed to ncrease wth feed rate), () r 3 τ vares lttle feed rate, and (v) r 4 τ ncreases wth feed rate (but at a slower rate than that observed n case of r 4 H). These results show that +0 mm artcles are broken much more effectvely at lower feed rates. Partcles n the sze class 6 0 mm also break better at lower feed rate, though the feed rate effect s comaratvely less ronounced. Breakage of artcles of sze class 3 6 mm s not affected by feed rate. And, artcles n the sze range 3 mm break better at hgher feed rates (.e. when hammer mll s loaded wth more materal, because mll hold u of solds s exected to ncrease wth feed rate). An nsecton of curves shown n Fgures and 2 shows that t s not ossble to descrbe these curves n terms of smle mathematcal functons. The best that can be done s to descrbe r H curves ecewse, n two arts. The frst art corresonds to low values of feed rate. Ths art s not of ractcal nterest. The second art corresonds to nearly constant absolute rate of breakage,.e. r H = K As r τ = r H/F, corresondng exressons for r τ follows mmedately from eq. (). It can be seen n Fgs. and 2 that +0 mm artcles of morted coal break much faster rate than the same sze PCC artcles. However, the remanng three fner sze fractons of morted coal break at ractcally the same rate as the PCC artcles of these szes. Ths s an mortant ont to be noted. Fg. : Varaton n the absolute rate of breakage r H,' wth feed rate for dfferent sze of coal. 347
6 AVINASH TRIPATHI, ASHISH AGRAWAL and V.K. GUPTA Fg. 2: Varaton n the arameter r τ wth feed rate for dfferent sze fractons of coal. DISCUSSION Wth a vew to determnng the otmum feed rate to get the desred sze dstrbuton of 80% assng 3 mm screen, some smulaton exerments were carred out usng the develoed mathematcal model. Two feed sze dstrbutons were selected: () Feed- corresondng to the average feed observed for PCC and () Feed-2 corresondng to the average feed observed for Imorted coal. Usng arorate equatons, mll dscharge sze dstrbutons were calculated. It was observed that for a tycal PCC feed (Feed- sze dstrbuton) the wt. % assng 3 mm screen decreases from 69.2 to 62.2 as the feed tonnage was ncreased from 75 to 225 t/hr. Even at 75 t/hr feed rate, however, the dscharge was not fne enough as the wt.% assng 3 mm screen was only It was observed that f somehow feed to the secondary hammer mll s made as fne as feed- 2, the wt.% assng 3 mm screen can be as hgh as 79.4 at 75 t/hr feed rate. Moreover, even f feed rate s ncreased to 225 t/hr, ths ercentage reduces only margnally to 76%. In ths context t s nterestng to ont out that the mll dscharge at the feed rate of t/hr for feed- has ractcally the same sze dstrbuton as feed-2. Ths observaton suggests that n order to get the roduct of desred sze dstrbuton ether a tertary hammer mll should be used or both the rmary and secondary mlls should be made more effectve through sutable modfcatons n ther desgn. It was observed that n case of Imorted coal the desred sze dstrbuton s acheved to a reasonable degree of closeness even when the feed rate s as hgh as 275 t/hr. CONCLUSION. By carryng out a dynamc sze-mass balance around the hammer mll and by nvokng the concet of erfectly mxed system, a mathematcal relatonsh has been obtaned between the mll feed and roduct sze dstrbutons. 2. Usng the actual lant data, varaton of the model arameters r H (absolute rate of breakage of artcles of sze class n the hammer mll) wth feed rate has been establshed. Thus, t has now become ossble to smulate the erformance of the crushng lant n resect of the effect of feed sze dstrbuton and feed rate. 3. At about 200 t/hr feed rate the value of these arameters for 6 0, 3 6 and 3 mm sze fractons of Imorted coal were found to be ractcally the same as those obtaned for PCC. 348
7 However, for the +0 mm sze fracton of Imorted coal the absolute rate of breakage was found to be about 2.2 tmes hgher than, that observed n the case of PCC. These results ndcate that only coarse +0 mm artcles of Imorted coal break faster than the same sze PCC artcles. 4. The tests carred out n a small laboratory hammer mll for establshng breakage dstrbuton functons have shown that all coarse sze fractons of Imorted coal roduce about 78% mm materal as they undergo breakage n the hammer mll. As exected, ths ercentage value s lower for PCC (72%). 5. The degree of reducton (elmnaton due to breakage) for artcles smaller than 0 mm was found to be very low (9 30 % only). To break these artcles more effectvely, the desgn of the hammer mll needs to be mroved. REFERENCES [] Austn, L.G., Klmel, R.R. and Lucke, P.T., 984, In: Process Engneerng of Sze Reducton: Ball Mllng, SME, New York,. 7. [2] Guta, V.K. and Kaur, P.C., 976, In: Zerklenern, Proc. 4th Eur. Sym. on Commnuton, H. Rumh and K. Schonert (Eds.), Verlag Cheme, Wenhem, [3] Whten, W.J., 974, Chemcal Engneerng Scence, 29, [4] Austn, L.G., Klmel, R.R. and Lucke, P.T., 984, In: Process Engneerng of Sze Reducton: Ball Mllng, SME, New York,. 4. [5] Sho, K. et al., 982, Powder Technology, 3,. 2. [6] Austn, L. G., Klmel, R.R. and Lucke, P. T., 984, In: Process Engneerng of Sze Reducton: Ball Mllng, SME, New York,. 90. [7] Reort No. R&D: 67 : 02 : 228 : 93, 993, Research and Develoment Centre for Iron & Steel, Steel Authorty of Inda Lmted, Ranch. 349
A study on the effect of ball diameter on breakage properties of clinker and limestone
Indan Journal of Chemcal Technology Vol. 9, May 202, pp. 80-84 A study on the effect of ball dameter on breakage propertes of clnker and lmestone Vedat Denz* Department of Chemcal Engneerng, Htt Unversty,
More informationDr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur
Analyss of Varance and Desgn of Exerments-I MODULE III LECTURE - 2 EXPERIMENTAL DESIGN MODELS Dr. Shalabh Deartment of Mathematcs and Statstcs Indan Insttute of Technology Kanur 2 We consder the models
More informationConfidence intervals for weighted polynomial calibrations
Confdence ntervals for weghted olynomal calbratons Sergey Maltsev, Amersand Ltd., Moscow, Russa; ur Kalambet, Amersand Internatonal, Inc., Beachwood, OH e-mal: kalambet@amersand-ntl.com htt://www.chromandsec.com
More informationSELECTION OF MIXED SAMPLING PLANS WITH CONDITIONAL DOUBLE SAMPLING PLAN AS ATTRIBUTE PLAN INDEXED THROUGH MAPD AND LQL USING IRPD
R. Samath Kumar, R. Vaya Kumar, R. Radhakrshnan /Internatonal Journal Of Comutatonal Engneerng Research / ISSN: 50 005 SELECTION OF MIXED SAMPLING PLANS WITH CONDITIONAL DOUBLE SAMPLING PLAN AS ATTRIBUTE
More informationSimulated 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 informationDr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur
Analyss of Varance and Desgn of Exerments-I MODULE II LECTURE - GENERAL LINEAR HYPOTHESIS AND ANALYSIS OF VARIANCE Dr. Shalabh Deartment of Mathematcs and Statstcs Indan Insttute of Technology Kanur 3.
More informationAdsorption: A gas or gases from a mixture of gases or a liquid (or liquids) from a mixture of liquids is bound physically to the surface of a solid.
Searatons n Chemcal Engneerng Searatons (gas from a mxture of gases, lquds from a mxture of lquds, solds from a soluton of solds n lquds, dssolved gases from lquds, solvents from gases artally/comletely
More informationHidden Markov Model Cheat Sheet
Hdden Markov Model Cheat Sheet (GIT ID: dc2f391536d67ed5847290d5250d4baae103487e) Ths document s a cheat sheet on Hdden Markov Models (HMMs). It resembles lecture notes, excet that t cuts to the chase
More information6. Hamilton s Equations
6. Hamlton s Equatons Mchael Fowler A Dynamcal System s Path n Confguraton Sace and n State Sace The story so far: For a mechancal system wth n degrees of freedom, the satal confguraton at some nstant
More informationDigital PI Controller Equations
Ver. 4, 9 th March 7 Dgtal PI Controller Equatons Probably the most common tye of controller n ndustral ower electroncs s the PI (Proortonal - Integral) controller. In feld orented motor control, PI controllers
More informationComparison of Outlier Detection Methods in Crossover Design Bioequivalence Studies
Journal of Pharmacy and Nutrton Scences, 01,, 16-170 16 Comarson of Outler Detecton Methods n Crossover Desgn Boequvalence Studes A. Rasheed 1,*, T. Ahmad,# and J.S. Sddq,# 1 Deartment of Research, Dow
More informationChapter 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 informationParameter Estimation for Dynamic System using Unscented Kalman filter
Parameter Estmaton for Dynamc System usng Unscented Kalman flter Jhoon Seung 1,a, Amr Atya F. 2,b, Alexander G.Parlos 3,c, and Klto Chong 1,4,d* 1 Dvson of Electroncs Engneerng, Chonbuk Natonal Unversty,
More informationOne-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 informationStatistical Evaluation of WATFLOOD
tatstcal Evaluaton of WATFLD By: Angela MacLean, Dept. of Cvl & Envronmental Engneerng, Unversty of Waterloo, n. ctober, 005 The statstcs program assocated wth WATFLD uses spl.csv fle that s produced wth
More informationConcrete strength evaluation using fracture mechanics technology
(016) DOI: 10.1051/ matecconf/0168601014 IPICSE-016 Concrete strength evaluaton usng fracture mechancs technology Valery Poov 1, Dmtry Poov 1, and Anna Davdenko 1. 1 Samara State Techncal Unversty, Insttute
More informationComparing two Quantiles: the Burr Type X and Weibull Cases
IOSR Journal of Mathematcs (IOSR-JM) e-issn: 78-578, -ISSN: 39-765X. Volume, Issue 5 Ver. VII (Se. - Oct.06), PP 8-40 www.osrjournals.org Comarng two Quantles: the Burr Tye X and Webull Cases Mohammed
More informationFuzzy approach to solve multi-objective capacitated transportation problem
Internatonal Journal of Bonformatcs Research, ISSN: 0975 087, Volume, Issue, 00, -0-4 Fuzzy aroach to solve mult-objectve caactated transortaton roblem Lohgaonkar M. H. and Bajaj V. H.* * Deartment of
More informationAssignment 5. Simulation for Logistics. Monti, N.E. Yunita, T.
Assgnment 5 Smulaton for Logstcs Mont, N.E. Yunta, T. November 26, 2007 1. Smulaton Desgn The frst objectve of ths assgnment s to derve a 90% two-sded Confdence Interval (CI) for the average watng tme
More informationA Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S.
Natural as Engneerng A Quadratc Cumulatve Producton Model for the Materal Balance of Abnormally-Pressured as Reservors F.E. onale M.S. Thess (2003) T.A. Blasngame, Texas A&M U. Deartment of Petroleum Engneerng
More informationPh.D. Qualifying Examination in Kinetics and Reactor Design
Knetcs and Reactor Desgn Ph.D.Qualfyng Examnaton January 2006 Instructons Ph.D. Qualfyng Examnaton n Knetcs and Reactor Desgn January 2006 Unversty of Texas at Austn Department of Chemcal Engneerng 1.
More informationA Quadratic Cumulative Production Model for the Material Balance of Abnormally-Pressured Gas Reservoirs F.E. Gonzalez M.S.
Formaton Evaluaton and the Analyss of Reservor Performance A Quadratc Cumulatve Producton Model for the Materal Balance of Abnormally-Pressured as Reservors F.E. onale M.S. Thess (2003) T.A. Blasngame,
More informationmodeling 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 informationChapter 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 informationModule 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 informationTurbulence 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 informationA Novel Feistel Cipher Involving a Bunch of Keys supplemented with Modular Arithmetic Addition
(IJACSA) Internatonal Journal of Advanced Computer Scence Applcatons, A Novel Festel Cpher Involvng a Bunch of Keys supplemented wth Modular Arthmetc Addton Dr. V.U.K Sastry Dean R&D, Department of Computer
More informationMATHEMATICAL MODELS FOR A CLOSED-CIRCUIT GRINDING
HUNGARIAN JOURNAL OF INDUSTRIAL CHEMISTRY VESZPRÉM Vol. 37( pp. 153-158 (009 MATHEMATICAL MODELS FOR A CLOSED-CIRCUIT GRINDING P. B. KIS 1, CS. MIHÁLYKÓ, B. G. LAKATOS 1 College of Dunaújváros, Department
More informationGlobal 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 informationOn New Selection Procedures for Unequal Probability Sampling
Int. J. Oen Problems Comt. Math., Vol. 4, o. 1, March 011 ISS 1998-66; Coyrght ICSRS Publcaton, 011 www.-csrs.org On ew Selecton Procedures for Unequal Probablty Samlng Muhammad Qaser Shahbaz, Saman Shahbaz
More informationThe Bellman Equation
The Bellman Eqaton Reza Shadmehr In ths docment I wll rovde an elanaton of the Bellman eqaton, whch s a method for otmzng a cost fncton and arrvng at a control olcy.. Eamle of a game Sose that or states
More informationThe Robustness of a Nash Equilibrium Simulation Model
8th World IMACS / MODSIM Congress, Carns, Australa 3-7 July 2009 htt://mssanz.org.au/modsm09 The Robustness of a Nash Equlbrum Smulaton Model Etaro Ayosh, Atsush Mak 2 and Takash Okamoto 3 Faculty of Scence
More informationApplication research on rough set -neural network in the fault diagnosis system of ball mill
Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(4):834-838 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 Applcaton research on rough set -neural network n the
More informationThis 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 informationComparison of the Population Variance Estimators. of 2-Parameter Exponential Distribution Based on. Multiple Criteria Decision Making Method
Appled Mathematcal Scences, Vol. 7, 0, no. 47, 07-0 HIARI Ltd, www.m-hkar.com Comparson of the Populaton Varance Estmators of -Parameter Exponental Dstrbuton Based on Multple Crtera Decson Makng Method
More informationOpen Systems: Chemical Potential and Partial Molar Quantities Chemical Potential
Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,
More informationANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)
Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of
More informationCOMPARISON 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 informationNegative Binomial Regression
STATGRAPHICS Rev. 9/16/2013 Negatve Bnomal Regresson Summary... 1 Data Input... 3 Statstcal Model... 3 Analyss Summary... 4 Analyss Optons... 7 Plot of Ftted Model... 8 Observed Versus Predcted... 10 Predctons...
More informationCOMPOSITE 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 informationLab 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 informationNumerical 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 informationThermal-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 informationAlgorithms for factoring
CSA E0 235: Crytograhy Arl 9,2015 Instructor: Arta Patra Algorthms for factorng Submtted by: Jay Oza, Nranjan Sngh Introducton Factorsaton of large ntegers has been a wdely studed toc manly because of
More informationDeparture Process from a M/M/m/ Queue
Dearture rocess fro a M/M// Queue Q - (-) Q Q3 Q4 (-) Knowledge of the nature of the dearture rocess fro a queue would be useful as we can then use t to analyze sle cases of queueng networs as shown. The
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More informationA novel mathematical model of formulation design of emulsion explosive
J. Iran. Chem. Res. 1 (008) 33-40 Journal of the Iranan Chemcal Research IAU-ARAK www.au-jcr.com A novel mathematcal model of formulaton desgn of emulson explosve Mng Lu *, Qfa Lu Chemcal Engneerng College,
More informationME 440 Aerospace Engineering Fundamentals
Fall 006 ME 440 Aerosace Engneerng Fundamentals roulson hrust Jet Engne F m( & Rocket Engne F m & F ρ A - n ) ρ A he basc rncle nsde the engne s to convert the ressure and thermal energy of the workng
More information2 Finite difference basics
Numersche Methoden 1, WS 11/12 B.J.P. Kaus 2 Fnte dfference bascs Consder the one- The bascs of the fnte dfference method are best understood wth an example. dmensonal transent heat conducton equaton T
More informationExperiment 1 Mass, volume and density
Experment 1 Mass, volume and densty Purpose 1. Famlarze wth basc measurement tools such as verner calper, mcrometer, and laboratory balance. 2. Learn how to use the concepts of sgnfcant fgures, expermental
More informationAn 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 informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 31 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 6. Rdge regresson The OLSE s the best lnear unbased
More informationTranslational Equations of Motion for A Body Translational equations of motion (centroidal) for a body are m r = f.
Lesson 12: Equatons o Moton Newton s Laws Frst Law: A artcle remans at rest or contnues to move n a straght lne wth constant seed there s no orce actng on t Second Law: The acceleraton o a artcle s roortonal
More informationModule 3: Element Properties Lecture 1: Natural Coordinates
Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers
More informationLecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES
COMPUTATIONAL FLUID DYNAMICS: FDM: Appromaton of Second Order Dervatves Lecture APPROXIMATION OF SECOMD ORDER DERIVATIVES. APPROXIMATION OF SECOND ORDER DERIVATIVES Second order dervatves appear n dffusve
More informationONE 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 informationA General Class of Selection Procedures and Modified Murthy Estimator
ISS 684-8403 Journal of Statstcs Volume 4, 007,. 3-9 A General Class of Selecton Procedures and Modfed Murthy Estmator Abdul Bast and Muhammad Qasar Shahbaz Abstract A new selecton rocedure for unequal
More informationDesigning of Combined Continuous Lot By Lot Acceptance Sampling Plan
Internatonal Journal o Scentc Research Engneerng & Technology (IJSRET), ISSN 78 02 709 Desgnng o Combned Contnuous Lot By Lot Acceptance Samplng Plan S. Subhalakshm 1 Dr. S. Muthulakshm 2 1 Research Scholar,
More informationColor 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 informationManaging Capacity Through Reward Programs. on-line companion page. Byung-Do Kim Seoul National University College of Business Administration
Managng Caacty Through eward Programs on-lne comanon age Byung-Do Km Seoul Natonal Unversty College of Busness Admnstraton Mengze Sh Unversty of Toronto otman School of Management Toronto ON M5S E6 Canada
More informationParton Model. 2 q Q, 1
Parton Model How do we exect the structure functons w and w to behave? It s nstructve to consder some secal cases: ) e e elastc scatterng from a ont-lke roton w, q q q w, q q m m m Defnng and notng that
More informationDr. Shalabh Department of Mathematics and Statistics Indian Institute of Technology Kanpur
Analyss of Varance and Desgn of Experment-I MODULE VII LECTURE - 3 ANALYSIS OF COVARIANCE Dr Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur Any scentfc experment s performed
More informationThe internal structure of natural numbers and one method for the definition of large prime numbers
The nternal structure of natural numbers and one method for the defnton of large prme numbers Emmanul Manousos APM Insttute for the Advancement of Physcs and Mathematcs 3 Poulou str. 53 Athens Greece Abstract
More informationTransfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system
Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng
More informationBOOTSTRAP METHOD FOR TESTING OF EQUALITY OF SEVERAL MEANS. M. Krishna Reddy, B. Naveen Kumar and Y. Ramu
BOOTSTRAP METHOD FOR TESTING OF EQUALITY OF SEVERAL MEANS M. Krshna Reddy, B. Naveen Kumar and Y. Ramu Department of Statstcs, Osmana Unversty, Hyderabad -500 007, Inda. nanbyrozu@gmal.com, ramu0@gmal.com
More informationTHE 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 informationAP Physics 1 & 2 Summer Assignment
AP Physcs 1 & 2 Summer Assgnment AP Physcs 1 requres an exceptonal profcency n algebra, trgonometry, and geometry. It was desgned by a select group of college professors and hgh school scence teachers
More informationSTAT 511 FINAL EXAM NAME Spring 2001
STAT 5 FINAL EXAM NAME Sprng Instructons: Ths s a closed book exam. No notes or books are allowed. ou may use a calculator but you are not allowed to store notes or formulas n the calculator. Please wrte
More informationHomework 10 Stat 547. Problem ) Z D!
Homework 0 Stat 547 Problem 74 Notaton: h s the hazard rate for the aneulod grou, h s the hazard rate for the dlod grou (a Log-rank test s erformed: H 0 : h (t = h (t Sgnfcance level α = 005 Test statstc
More informationAnswers Problem Set 2 Chem 314A Williamsen Spring 2000
Answers Problem Set Chem 314A Wllamsen Sprng 000 1) Gve me the followng crtcal values from the statstcal tables. a) z-statstc,-sded test, 99.7% confdence lmt ±3 b) t-statstc (Case I), 1-sded test, 95%
More informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have
More informationUncertainty as the Overlap of Alternate Conditional Distributions
Uncertanty as the Overlap of Alternate Condtonal Dstrbutons Olena Babak and Clayton V. Deutsch Centre for Computatonal Geostatstcs Department of Cvl & Envronmental Engneerng Unversty of Alberta An mportant
More informationFirst Law: A body at rest remains at rest, a body in motion continues to move at constant velocity, unless acted upon by an external force.
Secton 1. Dynamcs (Newton s Laws of Moton) Two approaches: 1) Gven all the forces actng on a body, predct the subsequent (changes n) moton. 2) Gven the (changes n) moton of a body, nfer what forces act
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationAn application of generalized Tsalli s-havrda-charvat entropy in coding theory through a generalization of Kraft inequality
Internatonal Journal of Statstcs and Aled Mathematcs 206; (4): 0-05 ISS: 2456-452 Maths 206; (4): 0-05 206 Stats & Maths wwwmathsjournalcom Receved: 0-09-206 Acceted: 02-0-206 Maharsh Markendeshwar Unversty,
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More informationEffect of loading frequency on the settlement of granular layer
Effect of loadng frequency on the settlement of granular layer Akko KONO Ralway Techncal Research Insttute, Japan Takash Matsushma Tsukuba Unversty, Japan ABSTRACT: Cyclc loadng tests were performed both
More informationSolution Thermodynamics
Soluton hermodynamcs usng Wagner Notaton by Stanley. Howard Department of aterals and etallurgcal Engneerng South Dakota School of nes and echnology Rapd Cty, SD 57701 January 7, 001 Soluton hermodynamcs
More informationThe Second Anti-Mathima on Game Theory
The Second Ant-Mathma on Game Theory Ath. Kehagas December 1 2006 1 Introducton In ths note we wll examne the noton of game equlbrum for three types of games 1. 2-player 2-acton zero-sum games 2. 2-player
More informationDO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED.
EE 539 Homeworks Sprng 08 Updated: Tuesday, Aprl 7, 08 DO NOT DO HOMEWORK UNTIL IT IS ASSIGNED. THE ASSIGNMENTS MAY CHANGE UNTIL ANNOUNCED. For full credt, show all work. Some problems requre hand calculatons.
More informationAdvanced Topics in Optimization. Piecewise Linear Approximation of a Nonlinear Function
Advanced Tocs n Otmzaton Pecewse Lnear Aroxmaton of a Nonlnear Functon Otmzaton Methods: M8L Introducton and Objectves Introducton There exsts no general algorthm for nonlnear rogrammng due to ts rregular
More informationPop-Click Noise Detection Using Inter-Frame Correlation for Improved Portable Auditory Sensing
Advanced Scence and Technology Letters, pp.164-168 http://dx.do.org/10.14257/astl.2013 Pop-Clc Nose Detecton Usng Inter-Frame Correlaton for Improved Portable Audtory Sensng Dong Yun Lee, Kwang Myung Jeon,
More informationHere is the rationale: If X and y have a strong positive relationship to one another, then ( x x) will tend to be positive when ( y y)
Secton 1.5 Correlaton In the prevous sectons, we looked at regresson and the value r was a measurement of how much of the varaton n y can be attrbuted to the lnear relatonshp between y and x. In ths secton,
More informationModel Reference Adaptive Temperature Control of the Electromagnetic Oven Process in Manufacturing Process
RECENT ADVANCES n SIGNAL PROCESSING, ROBOTICS and AUTOMATION Model Reference Adatve Temerature Control of the Electromagnetc Oven Process n Manufacturng Process JIRAPHON SRISERTPOL SUPOT PHUNGPHIMAI School
More informationMathematical Modeling of a Lithium Ion Battery
Ecert from the Proceedngs of the COMSOL Conference 9 Boston Mathematcal Modelng of a Lthum Ion Battery Long Ca and Ralh E. Whte * Deartment of Chemcal Engneerng Unversty of South Carolna *Corresondng author:
More informationBayesian networks for scenario analysis of nuclear waste repositories
Bayesan networks for scenaro analyss of nuclear waste reostores Edoardo Toson ab Aht Salo a Enrco Zo bc a. Systems Analyss Laboratory Det of Mathematcs and Systems Analyss - Aalto Unversty b. Laboratory
More informationNon-Ideality Through Fugacity and Activity
Non-Idealty Through Fugacty and Actvty S. Patel Deartment of Chemstry and Bochemstry, Unversty of Delaware, Newark, Delaware 19716, USA Corresondng author. E-mal: saatel@udel.edu 1 I. FUGACITY In ths dscusson,
More informationAppendix B: Resampling Algorithms
407 Appendx B: Resamplng Algorthms A common problem of all partcle flters s the degeneracy of weghts, whch conssts of the unbounded ncrease of the varance of the mportance weghts ω [ ] of the partcles
More informationSOME NOISELESS CODING THEOREM CONNECTED WITH HAVRDA AND CHARVAT AND TSALLIS S ENTROPY. 1. Introduction
Kragujevac Journal of Mathematcs Volume 35 Number (20, Pages 7 SOME NOISELESS COING THEOREM CONNECTE WITH HAVRA AN CHARVAT AN TSALLIS S ENTROPY SATISH KUMAR AN RAJESH KUMAR 2 Abstract A new measure L,
More informationSupplementary Material for Spectral Clustering based on the graph p-laplacian
Sulementary Materal for Sectral Clusterng based on the grah -Lalacan Thomas Bühler and Matthas Hen Saarland Unversty, Saarbrücken, Germany {tb,hen}@csun-sbde May 009 Corrected verson, June 00 Abstract
More informationIrregular 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 informationWinter 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 informationStructure and Drive Paul A. Jensen Copyright July 20, 2003
Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.
More informationAGC Introduction
. Introducton AGC 3 The prmary controller response to a load/generaton mbalance results n generaton adjustment so as to mantan load/generaton balance. However, due to droop, t also results n a non-zero
More informationCOMBINED CONTROL OF HYDROPNEUMATIC SPRINGS OF THE VEHICLE
Journal of KONES Powertran and Transort, Vol. 18, No. 4 2011 COMBINED CONTROL OF HYDROPNEUMATIC SPRINGS OF THE VEHICLE Mchal Lashenko Parhomenko Street 15-14, 400087 Volgograd, Russa tel.: (8442) 248171,
More informationχ 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 information6.3.7 Example with Runga Kutta 4 th order method
6.3.7 Example wth Runga Kutta 4 th order method Agan, as an example, 3 machne, 9 bus system shown n Fg. 6.4 s agan consdered. Intally, the dampng of the generators are neglected (.e. d = 0 for = 1, 2,
More informationIntroduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:
CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and
More informationSupplementary 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 informationLecture Notes for STATISTICAL METHODS FOR BUSINESS II BMGT 212. Chapters 14, 15 & 16. Professor Ahmadi, Ph.D. Department of Management
Lecture Notes for STATISTICAL METHODS FOR BUSINESS II BMGT 1 Chapters 14, 15 & 16 Professor Ahmad, Ph.D. Department of Management Revsed August 005 Chapter 14 Formulas Smple Lnear Regresson Model: y =
More information