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Digital Value Chain

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Digital Value Chain – PowerPoint PPT presentation

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Title: Digital Value Chain


1
Digital Value Chain
2
Computer Aided Applications
  • CAD Computer Aided Drafting
  • CAD Computer Aided Design
  • CAID Computer Aided Industrial Design
  • CAE Computer Aided Engineering
  • CAM Computer Aided Manufacturing

3
Product Innovation Process
Ideation
Development
Prototyping
Tooling
Production
4
Design Realisation Technologies
Ideation
Development
Prototyping
Tooling
Production
3D Scanning
Freeform Digital Sculpting
Rapid Prototyping
CNC Machining, Rapid Tooling
Injection Moulding, Casting, Forming
5
Haptic Digital Sculpting
  • Sculpts and tugs naturally
  • Precise control provided by force feedback
  • Voxel representation internally
  • Supports colour STL definition
  • www.sensable.com

6
Rapid Prototyping
  • Convert CAD model into layers of constant
    thickness
  • Create the physical prototype layer by layer
    beginning from the bottom

7
CNC Machining
  • CAM applications generates machine control codes
  • Codes feed into on-board computer and drive servo
    motors
  • Available for almost all types of machine

8
Rapid Tooling
  • Laser sintering of metal powders using no binder
  • The pressed powder particles fuse together,
    forming metallurgical bonds
  • Uses for parts as well as injection moulds

9
Design Implication
  • Digital technologies have accelerated product
    design
  • New tools expand the application of digital
    technologies
  • Consolidation of platforms and the emergence of
    polygon based tools break down the digital
    barrier
  • More than one data path available
  • Data is valuable resources

10
Producer and Consumer of Data
  • Identify the data producer and consumer in your
    trade
  • Characters originated from toys, film characters,
    game characters, etc. and propagate to other
    trades
  • Independent characters (avators) are over the
    horizon
  • Exponential growth in number of 3D artists

11
Design as Data Stream
  • Identify the value of your data
  • Increase form authenticity
  • Surface geometry preserved
  • Maintain design quality
  • Not subjected to individuals interpretation
  • Speed increase
  • Workload can be divided
  • Time to re-built model minimized
  • Prototyping at any point on the development
    time-line

12
Flow of Data
13
Birth and Death of Data
  • Identify break points in your data
  • Integrate with e-Commerce solution
  • Generate 3D model for web store directly
  • Marketing and promotion before tooling completed
  • Design your own toy solution
  • End-user configurable toys
  • One of a kind collectables
  • 3D Portrait

14
The emergence of polygon
  • Identify the most natural representation for your
    design
  • STL becomes the de facto standard for on-line 3D
    collaboration
  • Native polygon model editor more powerful
  • 10 out of 12 new tools relate to polygon-based
    design
  • Multi-media friendly
  • AI application friendly

15
Data structure
  • Identify structures in your data
  • Data structure varies between applications
  • Small textures represented by mapping animation
  • Polygon sub-division in rendering
  • Definition of surface normals
  • Feature scaling control in RP
  • Motion specific requirements for product design
  • Definition of colour across platforms

16
Conclusion
  • Where is the bulk of your data?
  • Where is it from?
  • Where will it go to?
  • Are you data efficient?
  • Is it possible to achieve Source Data Automation?
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