CE427 - CHEMICAL ENGINEERING LABORATORY III FALL 2005 MATHEMATICAL MODELLING OF TANK DRAINING

Similar documents
Appendix. In the absence of default risk, the benefit of the tax shield due to debt financing by the firm is 1 C E C

Weighted Graphs. Weighted graphs may be either directed or undirected.

The University of Sydney MATH 2009

5/1/2018. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees. Huffman Coding Trees

( ) ( ) ( ) 0. Conservation of Energy & Poynting Theorem. From Maxwell s equations we have. M t. From above it can be shown (HW)

Telecommunications BUILDING INTERCOM CALL BUTTON WITH 3/4"C AND PULL STRING TO ACCESSIBLE CEILING SPACE. MOUNT 48" AFF.

The Mathematics of Harmonic Oscillators

INF5820 MT 26 OCT 2012

Improving Union. Implementation. Union-by-size Code. Union-by-Size Find Analysis. Path Compression! Improving Find find(e)

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy.

V. Light amplification & Spontaneous emission

T h e C S E T I P r o j e c t

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

1- I. M. ALGHROUZ: A New Approach To Fractional Derivatives, J. AOU, V. 10, (2007), pp

Tangram Fractions Overview: Students will analyze standard and nonstandard

Divided. diamonds. Mimic the look of facets in a bracelet that s deceptively deep RIGHT-ANGLE WEAVE. designed by Peggy Brinkman Matteliano

Verifcaton. Staemnt. Treasur( Oficeholdr, TREASU, Terminato) reasonbl. informat. aplicbe: DIFERNT) knowledg. Contrled Comite: schedul.

Oscillations of Hyperbolic Systems with Functional Arguments *

d e c b a d c b a d e c b a a c a d c c e b

Having a glimpse of some of the possibilities for solutions of linear systems, we move to methods of finding these solutions. The basic idea we shall

Lecture 20: Minimum Spanning Trees (CLRS 23)

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

NEW FLOODWAY (CLOMR) TE TE PIN: GREENS OF ROCK HILL, LLC DB: 12209, PG: ' S67 46'18"E APPROX. FLOODWAY NEW BASE FLOOD (CLOMR)

In which direction do compass needles always align? Why?

P a g e 5 1 of R e p o r t P B 4 / 0 9

4.1 Interval Scheduling. Chapter 4. Greedy Algorithms. Interval Scheduling: Greedy Algorithms. Interval Scheduling. Interval scheduling.

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000

Preparred by A.Immanuvel Maduram Thangiah, St. John s HSS, Palayamkottai Key for March 2015 Maths Questions Pl.visit 12th-maths-key.weebly.

Decimals DECIMALS.

TRASH ENCLOSURE WITH SOLID GATE 4 STORY BUSINESS / RESIDENTIAL BUILDING CONTAINING 2 BUSINESS SPACES AND 6 DWELLING UNITS 6' - 0"

b.) v d =? Example 2 l = 50 m, D = 1.0 mm, E = 6 V, " = 1.72 #10 $8 % & m, and r = 0.5 % a.) R =? c.) V ab =? a.) R eq =?

The Procedure Abstraction Part II: Symbol Tables and Activation Records

Multiple-Choice Test Runge-Kutta 4 th Order Method Ordinary Differential Equations COMPLETE SOLUTION SET

Problem 1. Solution: = show that for a constant number of particles: c and V. a) Using the definitions of P

Quantum Properties of Idealized GW Detector

ADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o:

Math 166 Week in Review 2 Sections 1.1b, 1.2, 1.3, & 1.4

Special Curves of 4D Galilean Space

Single Source Shortest Paths (with Positive Weights)

Right Angle Trigonometry

SAMPLE CSc 340 EXAM QUESTIONS WITH SOLUTIONS: part 2

CHAPTER 7. X and 2 = X

[Let's Do ToPolio What We Did To Tokyo

INDUCTANCE OF A PLUNGER-TYPE ELECTROMAGNET

A simple 2-D interpolation model for analysis of nonlinear data

Engine Thrust. From momentum conservation

BASIC CAGE DETAILS D C SHOWN CLOSED TOP SPRING FINGERS INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms

Emigration The movement of individuals out of an area The population decreases

Depth First Search. Yufei Tao. Department of Computer Science and Engineering Chinese University of Hong Kong

CMPS 2200 Fall Graphs. Carola Wenk. Slides courtesy of Charles Leiserson with changes and additions by Carola Wenk

CIVL 8/ D Boundary Value Problems - Rectangular Elements 1/7

Major: All Engineering Majors. Authors: Autar Kaw, Luke Snyder

T_s. e r So Dg. R a n. Ri de. The h o u r s for the tour and»adi\ idual r e s i d e n c e s, thus pro- r o n.

glo beau bid point full man branch last ior s all for ap Sav tree tree God length per down ev the fect your er Cm7 a a our

Strongly connected components. Finding strongly-connected components

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01

Introduction to Laplace Transforms October 25, 2017

I N A C O M P L E X W O R L D

Advanced Queueing Theory. M/G/1 Queueing Systems

P a g e 3 6 of R e p o r t P B 4 / 0 9

Ash Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri-

Fantastic British Charity Effort

CS 103 BFS Alorithm. Mark Redekopp

BASIC CAGE DETAILS SHOWN 3D MODEL: PSM ASY INNER WALL TABS ARE COINED OVER BASE AND COVER FOR RIGIDITY SPRING FINGERS CLOSED TOP

A Class of Harmonic Meromorphic Functions of Complex Order

Frequency Response. Response of an LTI System to Eigenfunction

# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths.

CMSC 451: Lecture 4 Bridges and 2-Edge Connectivity Thursday, Sep 7, 2017

Erlkönig. t t.! t t. t t t tj "tt. tj t tj ttt!t t. e t Jt e t t t e t Jt

Platform Controls. 1-1 Joystick Controllers. Boom Up/Down Controller Adjustments

Vesperae Beatae Virginis

A L A BA M A L A W R E V IE W

² Ý ² ª ² Þ ² Þ Ң Þ ² Þ. ² à INTROIT. huc. per. xi, sti. su- sur. sum, cum. ia : ia, ia : am, num. VR Mi. est. lis. sci. ia, cta. ia.

DETAIL B DETAIL A 7 8 APPLY PRODUCT ID LABEL SB838XXXX ADJ FOUR POST RACK SQUARE HOLE RAIL B REVISION

" W I T H M A L I C E T O W A - P t D N O I S T E A - I S T D O H A n i T Y F O R. A L L. " A TENDERFOOT. an awful storm." At this juncture,

Why CEHCH? Completion of this program provides participants direct access to sit for the NAB HCBS exam.

FOR MORE PAPERS LOGON TO

counting statistics in thermal transport in nanojunctions

RUTH. land_of_israel: the *country *which God gave to his people in the *Old_Testament. [*map # 2]

SYMMETRICAL COMPONENTS

3+<6,&6([DP. September 29, SID (last 5 digits): --

Midterm Exam. Thursday, April hour, 15 minutes

Lecture 21 : Graphene Bandstructure

Introduction to Inertial Dynamics

Chapter 8: Propagating Quantum States of Radiation

L...,,...lllM" l)-""" Si_...,...

Minimum Spanning Trees

Preview. Graph. Graph. Graph. Graph Representation. Graph Representation 12/3/2018. Graph Graph Representation Graph Search Algorithms

O M N I W I L L I A M P E N N H O T E L H O L I D A Y

learning objectives learn what graphs are in mathematical terms learn how to represent graphs in computers learn about typical graph algorithms

Cycles and Simple Cycles. Paths and Simple Paths. Trees. Problem: There is No Completely Standard Terminology!

Planar convex hulls (I)

Vexilla regis prodeunt

Ch. 22: Classical Theory of Harmonic Crystal

COMP 250. Lecture 29. graph traversal. Nov. 15/16, 2017

anger: Blood Circle Knife Safety Check list:

Combinatorial Optimization

Transcription:

CE47 - CEMICA ENGINEERING ABORATORY III FA 005 MATEMATICA MODEING OF TANK DRAINING Ojvs: Dvlop r mml modls o vryng omplxy o prd m rqurd o drn vrl ylndrl nk nd ompr modls w xprmnl d. Sysm: Two nks lod n 11 Jrvs v dmrs o 8.375 ns nd 4.0 ns. T wo nks v x lns r rpll w 0.49 n dmr us vng drn lngs. T lngs vll r pproxmly 6, 1, 4, 36, 48, 60, nd 7 ns long. Tr r wo yps o onron ssmls pld on nks. T lrgr-dmr nk s srp-dgd onron nd smllr-dmr nk s roundd onron. T nks n lld w wr usng pump nd plugs or drn lns r vll. A prssur rnsdur, lod nk x, rnsms d o PC runnng w progrm w rords wr lvl s unon o m s nk drns. Modl dvlopmn I nk sysm s oprd s sown n gur low, low n, F, s sun o mnn lvl n nk ns wl nk s ng drnd roug pp o lng. F

Modl vl 1: In smpls ppro o prolm, Brnoull quon wou ron n wrn or suon dsrd ov oosng son sur o lqud n nk nd son pon o dsrg o drn pp. Sn prssur o sons s mospr, p nd p r qul, nd p p =. A sur o lqud, vloy!! s nglgl, nd rm / s droppd. Tus, rmnng rms n Brnoull quon wou ron r: wr g=lron o r ll =lng o drn pp = lqud lvl. g ( + ) = (1) From Eqn. (1), n sn vloy dsrg wll vry w g o lqud n nk. I low, F, s soppd nd nk s llowd o drn, n unsdy s mrl ln on nk nd x pp gvs: d S =! S () d (no mnus sgn s ndd us drvv s ngv) S nd S r rosssonl rs o nk nd drn pp, rspvly. Susuon or rom Eqn.(1) no Eqn.() (qus-sdy s pproxmon), rrrngmn, nd ngron yld: D 1! d = "! d g + 0 d (3) wr =lux (or drn) m = nl lqud lvl = nl lqud lvl d= drn u dmr D= nk dmr Tus m rqurd o drn nk rom n nl lqud lvl o nl lqud lvl s prdd y Modl 1 o :

D = { } (4) d g + 1 Modl lvl : Ovously, Modl 1 dos no oun or s o sold oundrs o nk nd drn pp. T Brnoull quon s xndd o oun or xsn o lud ron y ddng rm,, rprsnng ll ron gnrd pr un mss o lud ours wn sons nd. Tror, ddng s rm o Eqn. (1) would yld: g ( + ) = + (5) I n rgud mjor sour o ron loss n our nk drnng sysm s suddn onron o ross son rom nk o drn pp. T ron loss rom suddn onron s proporonl o vloy d n drn pp nd s gvn y xprsson! = K (6) wr K s lld onron loss on. T vlu o onron loss on vrs w gomry o onron. Modl s dvlopd y prodng s n Modl 1 o on: D (1 + K ) = { } (7) d g + Modl lvl 3: Wl Modl ook no oun mjor sour o ron loss, ron loss du o suddn onron o ross son s low nrs drn pp s no only sour o ron loss n our sysm. Modl 3 nluds ron loss du o ron wn wll o drn pp nd lud srm ( ron wn lud nd wll o nk s ngld). In s s, ron rm n Brnoull quon w ron (Eqn. (5)) would nlud, dnong skn ron: s g ( + ) = + + s (8) 3

wr = 4 s d = Fnnng ron or d = drn pp dmr T loss ons nd Fnnng ron or r dsussd n Cpr 5 o MC, Sm, nd rro (M,S,&) nd s xpd xprmnr wll onsul x or urr normon. Prodng s n dvlopmn o prvous modls would yld: 4 D (1 + K + ) d = { } (9) d g 3 + (In ngron ld o Eqn. (9), ws ssumd ron or,, s onsn rougou drnng pross. Expln wy on n ssum s s vld) Commns nd Ims o Consdr Drn Tm Msurmns: For msurmns o drn m, nlly ll nks o ovrlow ln wl pluggng drn u. Tn rmov plug wl smulnously srng d quson sysm o rord drn m. 1) Us o nks nd ls 5 drn us. On ls r rdngs or u. ) Bus s dul o drmn xly wn nk s mpy, rord m o drn o onssn dp (1 or ns) ov oom o nk. 3) Drmn lux ms prdd y ll r modls. No or modl 3 you wll nd o sm ron or. To do s, you wll nd o lul vrg vloy o wr lvng u sd on volum o wr n nk gnnng nd ow long ook or o r nl lqud lvl. 4) ow do msurd vlus ompr o os prdd? W modl mor urly prdd drn m? Inlud unrny lms or your msurd drn ms. 5) Plo drn ms s unon o lng o drn pp lng. Inlud modls prdons. 4

6) Dos ngng pp lng sgnnly lr lux m msurd? Dos dpnd on onron yp? 7) W urr rnmns would you suggs or mml modl? Rrns 1. MC, Sm, nd rro, Un Oprons o Cml Engnrng, 6 Edon, MGrw- ll, 001.. Prry, R.. nd D.W. Grn (ds.), Cml Engnr s ndook, 7 d., MGrw-ll, 1997. Pr-l omwork or Tnk Drnng Exprmn- o ompld ndvdully 1. Sow sps o on Eqn.(7), gnnng w Eqn.() nd Eqn.(5).. Fnd n xprsson or vlu or onron loss on or srp-dgd onron (s rrn). 3. Rp prolm or roundd onron (s rrn). 4. Durng your xprmn, you ound smll nk n l(d=4 n.) ks 3. sonds o drn wr 5 C rom lqud lvl o 77 ns o lqud lvl o ns roug 4 n drn pp (d=0.49 n). Bsd on your d, w s vrg vloy dsrg o drn pp durng drnng pross? 5. Drmn Fnnng ron or or xprmnl d n prolm 4 ssumng drn pp s smoo. 5