Abstract
This paper addresses the theory and tools that promote rapid product and process development of machined products. A foundation of this approach is the application of a new definition of manufacturing features called resource-based free-form features. Using free-form features we demonstrate how cost, time and quality predictions, based on available equipment, are computed. We also introduce the concept of intelligently clustering alternative features to achieve better process alternatives. The approach presented herein is appropriate throughout the product design life-cycle as an aid to faster product realization by evaluating the parochial manufacturability of a completed design. In particular, this approach will provide the design team with cost, time and quality predictions, based on available equipment, that can be used to guide the design process. It also provides the manufacturing team with an approach to evaluating producibility and generating a production plan for a product model using available equipment in terms of cost, time and quality.
Original language | English (US) |
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Pages (from-to) | 323-331 |
Number of pages | 9 |
Journal | Journal of Intelligent Manufacturing |
Volume | 8 |
Issue number | 4 |
DOIs | |
State | Published - Jan 1 1997 |
Keywords
- Feature extraction
- Manufacturability
- Manufacturing feature
- Statistical process control
ASJC Scopus subject areas
- Software
- Industrial and Manufacturing Engineering
- Artificial Intelligence