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Engineering Design & Optimization (Week-1)

Date post: 07-Aug-2018
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    ME-729Engineering Design &

    Optimization

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    Qualifcation

    PhD HUST, China

    Mechanical Manuacturing & Automation MS College o E&ME, NUST

    Mechanical Design

    MS PEAS

    Process Engineering !Sc UET Pesha"ar

    Mechanical Engineering

    Muhammad Farhan Ausaf

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    Course Co#e ME $% nstructor Muhamma# 'arhan Ausa Semester 'all %()*

    Cre#it Hours +( Pre -e.uisite amiliarit/ "ith MAT0A! Class timings Tues#a/, 12((32(( 45m5

    Email2 arhan5ausa6hitecuni5e#u547

    Engineering Design &Optimization

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    Grade Distribution:

    Qui88es9Assignments )(:Term Pro;ect9Presentation )(: Sessional E

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    =ou are highl/ encourage#to as7 .uestionsan# #iscuss the course material "ith mean# /our classmates5

    No cheating, a>rication, alsifcation,orger/ an# com4uter misuse5 Please s"itch o?94ut on silent /our cell

    4hones5

    A#here to the gi@en #ate or assignmentsu>mission5

    $!ass o!i"#

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    -ecommen#e# !oo7s2

    ntro#uction to 4timum #esign >/ Bas>ir S5Arora

    Engineering 4timi8ation2 Theor/ an#Practice >/ Singiresu S5 -ao

    4timi8ation or engineering #esign,algorithms an# e/ 5 De>>

    %oos

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    Discuss the metho#s an# techni.ues orormulation o #esign 4ro>lems intomathematical orm "hich is acce4ta>le too4timi8ation algorithm

    Single @aria>le unction o4timi8ation algorithms Algorithms or o4timi8ation o constraine# an#

    unconstraine# 4ro>lems Nontra#itional o4timi8ation9mo#ern

    o4timi8ation algorithms "ill >e #iscusse#5 Use o MAT0A! or o4timi8ation

    $ourse O'er'ie(

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    ntro#uction Design 4ro>lem ormulation ra4hical o4timi8ation

    4timum #esign conce4ts 0inear Programming Constraine# an# unconstraine#

    4timi8ation Multi@aria>le o4timi8ation Nontra#itional9Mo#ern o4timi8ation

    algorithms

    $ourse Out!ine

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    4timi8ation is #eri@e# rom the 0atin "or#4timusF, "hich means the >est an#characteri8es the acti@ities in@ol@e# to fn#the >estF5

    Peo4le ha@e >een o4timi8ing rom ages, >utthe roo# o mo#ern #a/ o4timi8ation can >etrace# to the secon# "orl# "ar5

    4timi8ation is oten s/non/m "ithOperations resear"h

    Optimization

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    Optimization is the act of obtaining the best result under givencircumstances.

    Optimization can be defined as the process of finding theconditions that give the maximum or minimum of a function.

    The optimum seeking methods are also known as mathematicalprogramming techniquesand are generally studied as a part ofoperations research.

    Operations research is a branch of mathematics concerned with theapplication of scientific methods and techniques to decision makingproblems and with establishing the best or optimal solutions

    Optimization

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    Di)erent *inds ofOptimization

    'igure rom2 4timi8ation Technolog/ Cente

    htt4299"""45mcs5anl5go@9otc9ui#e94tGe

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    4timi8ation 4ro>lems arise naturall/ in man/#i?erent #isci4lines5 n engineering #esign4ro>lem oten goal is to males5

    Some t/4ical a44lications rom #i?erentengineering #isci4lines are Design o aircrat an# aeros4ace structures or

    minimum "eight

    'in# the o4timal tra;ectories o s4ace @ehicles Design o ci@il engineering structures such as

    rames, >ri#ges, to"ers an# #ams or minimum cost

    +eed for optimization

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    4timal #esign o lin7ages, cams ,gears, machinestools an# other mechanical com4onents

    Design o material han#ling e.ui4ment, such ascon@e/ors, truc7s an# cranes or minimum cost

    Design o 4um4s, tur>ines an# heat transere.ui4ment or ma

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    A!! optimization "ases ha'e thefo!!o(ing three things in "ommonThere is an o@erall goal, or o>;ecti@e or the

    acti@it/ n a##ition to the o@erall goal there are

    constraints that must >e met n all situations, choices are a@aila>le to

    meet the goals an# o>;ecti@es

    +eed for Optimization

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    Pro>lem ormulation Ta7ing statements

    Defning general goals an# re.uirements o agi@en acti@it/

    Con@erting them into a series o "ell #efne#mathematical statements

    Pro>lem ormulation Selecting one or more o4timi8ation @aria>les

    Choosing an o>;ecti@e unction #enti/ing a set o constraints

    Optimization rob!em

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    The ob,e"ti'e fun"tionan# the "onstraints

    must all >e unctions oone or more

    o4timi8ation @aria>les

    Optimization rob!em

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    'in# the #imensions o therectangular gar#en o greatest areathat can >e ence# o? Iall our si#esJ

    "ith +(( meters o encing

    Maimizing Area

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    4timi8ation @aria>les 0ength an# Gi#th

    >;ecti@e 'unction Ma

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    Maimizing Area"ontinued

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    A rectangular gar#en o area $1 s.uare eetis to >e surroun#e# on three si#es >/ a >ric7"all costing )( 4er oot an# on one si#e >/a ence costing 1 4er oot5 'in# the#imensions o the gar#en such that the costo materials is minimi8e#5

    Minimizing $ost

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    4timi8ation @aria>les 0ength an# Gi#th

    >;ecti@e 'unction Minimi8e Cost K %(0ength L )1Gi#th

    Constraints

    Area K 0ength < Gi#th K $1

    Minimizing $ost "ontinued

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    Minimizing $ost "ontinued

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    A can@as "in# shelter or the >each has a>ac7, t"o s.uare si#es an# a to45 'in# the#imensions or "hich the @olume "ill >e %1(cu>ic eet an# that re.uires the least4ossi>le amount o can@as5

    Minimizing .urfa"e Area

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    4timi8ation @aria>les 0ength, Gi#th an# Height IGi#th K HeightJ

    >;ecti@e 'unction Minimi8e Surace area K %Gi#th%L

    %Gi#th0ength

    Constraints Oolume K 0ength < Gi#th%K %1(

    Minimizing .urfa"e Area"ontinued

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    Minimizing .urfa"e Area"ontinued

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    Design a can to hol# at least *(( ml o li.ui#, as"ell as meet other #esign re.uirements5 The can"ill >e 4ro#uce# in the >illions so it is #esira>leto minimi8e manuacturing costs5 Since cost can

    >e #irectl/ relate# to the surace area o thesheet metal so minimi8e the amount o sheetmetal re.uire# to a>ricate the can5 'ollo"ingrestrictions are im4ose# on the si8e o the can5

    The #iameter shoul# >e no more than 3 cm an#no less than +51cm, "hereas the height shoul#>e no more than )3cm an# no less than 3 cm5

    Design of a $an


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