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Toward Hybrid VariantGenerative Process Planning

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If basic signatures are isomorphic, two designs are identical. Higher level of abstraction ... similar If simplified, Isomorphic. How much simplification is ... – PowerPoint PPT presentation

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Title: Toward Hybrid VariantGenerative Process Planning


1
Toward Hybrid Variant/Generative Process Planning
  • i-Design Lab.
  • ? ? ?

2
Contents
  • Introduction
  • Backgrounds
  • Our Approach
  • Summary and Conclusion

3
Introduction
Variant Process Planning
Hybrid Process Planning
Generative Process Planning
Variant Process Planning
Generative Process Planning
  • Tools of choice
  • Commercially available
  • Some drawbacks
  • Realistic Process Plan
  • Only in restricted Domain
  • Not achieved industrial use

4
  • Backgrounds

5
Group Technology (GT)
  • Classifying similar products into groups
  • To capture critical design and manufacturing
    attributes of a part
  • GT Code
  • Scheme for describing products
  • Consists of two types of positions
  • Global property of design material, size, etc.
  • Relevant only for certain types of designs
  • Human-oriented
  • ? Difficulty in automating the generation of
    GT codes

6
Geometric Approaches
  • To use geometric properties of solid and CAD
    models
  • CSG Constructive Solid Geometry
  • Not unique and Not robust method
  • Not correspond to the manufacturing operations
  • Sun et al. properties of boundary
    representations
  • Polyhedral approximation of a solid using a graph
  • Relation between solid faces
  • Difficulty
  • Only with polyhedral objects
  • Not symmetrical ( A B ? B A )
  • Not incorporate manufacturing considerations

7
Variant Process Planning
  • Based on the use of the Group Technology coding
    schemes
  • When given a new design D
  • Determines a GT code for D
  • Retrieve a process plan P for a design D
  • Modify retrieved process plan P for a design D
    manually
  • If the part mix varies over time
  • ? Some drawbacks

8
Generative Process Planning
  • When given a new design D
  • Synthesize a process plan directly for D
  • Retrieved candidate processes
  • Select feasible processes
  • Difficulties
  • Only in restricted domains
  • Not really achieved significant industrial use
  • If Generative Process Planning gives feedback to
    designer
  • ? Improve its manufacturability

9
Hybrid Approaches
  • No comprehensive solutions

10
Hybrid Approaches
  • An approach for acquiring knowledge
  • Use inference rules to find explanations behind
    the plan
  • Very Simple ? No other manufacturing information
  • Capture plan knowledge that specifies necessary
    process
  • Search the old subplans ? Modify using process
    capability rules
  • Each feature is independent ? No group features
  • Robust Hybrid Approach
  • Consider feature interaction
  • Consider store, classify, retrieve

11
  • Our Approach

12
Our Approach
  • Preprocessing
  • Given a database of existing designs
  • Build an indexing and classification structure
    for search and retrieval
  • Design signatures, Design similarity, Finding
    similar designs, Computational issues, Validation
  • Planning for new designs
  • Use the classification structure
  • Synthesize a plan
  • Slicing Designs, Retrieving plans and extracting
    plan slices, Combining plan fragments

13
Design Signatures
  • Instead of GT Code, more detailed structure
  • Basic signature
  • Represents all properties of the design
  • If basic signatures are isomorphic, two designs
    are identical
  • Higher level of abstraction
  • Simplify ? Remove some of the less important
    details

14
Design Signatures
F-Rex Feature Extractor
15
Design Signatures
lt Basic Signature gt
16
Design Similarity
lt Basic Signature gt
lt Simplified Basic Signature gt
17
Design Similarity
lt Simplified Basic Signature gt
  • More similar ? If simplified, Isomorphic
  • How much simplification is needed ??

18
Design Similarity
  • D a set of designs
  • P a set of all design properties
  • Sn(d) basic signature Pn1, ... , Pn
  • Rn(d,d) Relation Sn(d) Sn(d) ?
    Rn(d,d)
  • Single equivalence class
  • Classification Tree - hierarchically

19
Finding Similar Designs
  • v vertex of the classification tree
  • d member of equivalence class represented by v
  • ? v matches d

lt Search Algorithm gt
20
Preprocessing
  • Computational Issues
  • To determine whether a vertex v of depth k
  • Algorithm compares the design signature
  • NP (Nondeterministic Polynomial time problem)
  • ? Exponential time
  • How to speed up ??
  • Use special properties
  • Unless d matches vs parent ? Not Check whether d
    matches v
  • Validation
  • Obstacle
  • Lack of a generally available data set of CAD
    model
  • Lack of an agreed-upon standard from
    manufacturing point of view

21
Planning for New Designs
  • Traditional approach
  • Retrieve a process plan from existing design
  • ? Other portions may not match so well
  • Our approach

22
Slicing Designs
  • Manufacturing dependencies
  • If two features intersect ? precedence constraint
  • If feature has tolerance that is defined relative
    to the other
  • If there is a thin section between them
  • If the same tool is used
  • If both have the same approach direction
  • If both have the same corner radii

23
Planning for New Design
  • Retrieving plans and extracting plan slices
  • Design d ? d, Slice s ? s ? Plan ? p
  • Slice s ? s ? Plan slice ? q
  • ? Operation m
  • Combining Plan Fragments

X
  • Tool, approach direction ? Same slice
    Future Works

24
  • Summary and Conclusion

25
Summary and Conclusion
  • Anticipated Benefits
  • Accelerating the product development process
  • Utilize the strengths of both process planning in
    ad innovative way
  • Provide the designer feedback

26
  • Thanks!!!
  • Q A
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