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Optimal Design Problem Formulation. Rudy J. Eggert, Professor Emeritus http://coen.boisestate.edu/reggert http://highpeakpress.com/eggert/. Today’s lecture. Homework Review Design, Form from Function Optimal design Opt. Des. Problem Formulation Examples. Review. - PowerPoint PPT Presentation
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Optimal DesignProblem Formulation
Rudy J. Eggert, Professor Emeritus
http://coen.boisestate.edu/reggerthttp://highpeakpress.com/eggert/
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Today’s lecture
• Homework• Review
– Design, Form from Function– Optimal design
• Opt. Des. Problem Formulation• Examples
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Review
• Design-decision making activities– Form from Function– Phases:
• Formulation• Concept• Configuration• Parametric• Detail
• Opt. Design-systematic parametric design
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Design
Design
controlholdmoveprotectstore
decision making processes
shapeconfigurationsizematerialsmanufacturing processes
Function
Form
Set of decision making processes and activities to determine: the form of an object, given the customer’s desired function.
Opt. Design Problem Formulation
Develop a mathematical model
Include mathematical relations for :1. A performance criterion or “cost function” (measures “goodness” of the candidate’s design)2. Necessary behaviors (must do or have) (obey laws of man, or nature, i.e. safety, physics, chemistry etc)
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Standard Design Optimzation Model
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n1=i x x x
m1= 0 )(g
p1= 0 =)(h
) (
: ToSubject
thatsuch*Find
) (Uii
) (Li
i
j
i
j
f :MINIMIZE
x
x
x
x
Design Problem Formulation (Arora)
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Step 1. Project/problem descriptionStep 2. Data and information collectionStep 3. Definition of design variablesStep 4. Optimization criterionStep 5. Formulation of constraints
Let’s reword these as actions to perform…
Opt. Des. Problem Formulation(Eggert)
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Step 1. Describe problemStep 2. Collect infoStep 3. Define DVsStep 4. Determine objective functionStep 5. Formulate constraints
Design of a can
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Step 1. Describe problem (restate w/bullets)•Must hold at least 400 ml•Min mfg cost which is proportional to surface area•Diameter no more than 8 cm•Diameter no less than 3.5•Height no more than 18 cm•Height no less than 8 cm
Design of a can
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Step 1. Describe problemStep 2. Collect infoStep 3. Define DVsStep 4. Determine objective functionStep 5. Formulate constraints
Design of a can
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Step 2. Collect infoDraw diagramRelation for volumeRelation for surface areaOther?
Volume = Area x height = (πD2/4)H
Surface area = top + bottom + side Area top, bottom = πD2 /4
Area side = πDH Total area = πD2 /4 + πD2/4 + πDH (cm3)
Design of a can
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Step 3. Define DVsDiameter, D, (cm)Height, H, (cm)x=[x1, x2] = [D, H]
Note: volume and area are functions of the DVs
Design of a can
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Step 5. Formulate constraints
Volume ≥ 400 ml (cm3), or (πD2/4)H ≥ 400 (cm3)
3.5 ≤ D ≤ 88 ≤ H ≤ 18
3.5 ≤ D
8 ≤ H D ≤ 8
H ≤ 18
Size limits
Design of a can - Summary
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(πD2/4)H ≥ 400 (cm3)
3.5 ≤ D
8 ≤ H D ≤ 8
H ≤ 18
Min f(D,H) = πD2 /2 + πDH (cm2)
Subject to:
More on design variables (DVs)
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Parameters that:1.can be arbitrarily selected by the design engineer, AND that 2.influence the behavior of the product (or process) to be designed
For discrete variables... determine set of permissible values
DV Name heightSymbol HUnits (cm)Upper bound 18 cmLower bound 8 cm
Likely DV’s – think FORM
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SizesL, W, H, D, t
Shapessquare, circular, cylindrical, slender, short
Configurationsleft-handed, on-top, behind, over
Materialsmetals, polymers, ceramics
Manufacturing processesmachined, stamped, molded
Mechanical failure modes
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Tensile/compressive failure, plastic, brittleBuckleCorrosionExcess deflectionExcessive frictionThermal (melts, combusts…)WearVibrationUnsatisfactory motion (i.e. 4-bar, x,v,a) Other?
Electrical failure modes
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Short circuitOpen circuitExcessive power, heatPoor filteringEM interferenceOther?
Legal failure modes
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Violates codes/standardsCauses unforeseen property damageCauses unforeseen injuryInfringes existing patentOther?