Knowledge Intensive CAD

1. Front Matter

   Pages i-viii

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2. Architecture for Knowledge Intensive CAD

   1. Front Matter

      Pages 1-1

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   2. An Intellectual Infrastructure for Integrating Design Knowledge

      • Yusaku Shibata

      Pages 3-18

   3. An experimental environment for exchanging engineering design knowledge by cognitive agents

      • W. Shen, J.-P. A. Barthès

      Pages 19-38

   4. PICCSS: Problem Interactive Clarification and Concurrent Solving System

      • Y. Nishioka, S. Nakasuka, K. Hori

      Pages 39-58

   5. A formal theory for knowledge-based product model representation

      • Filippo A. Salustri

      Pages 59-78

   6. Knowledge Based Design of Complex Products by the Concept of Design Working Spaces

      • H. Grabowski, R.-S. Lossack

      Pages 79-98

3. Methodologies for Knowledge Intensive CAD

   1. Front Matter

      Pages 99-99

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   2. Design Innovation Guided by Modeling Assumptions

      • Jyotibikas Bhattacharya, Louis Steinberg

      Pages 101-123

   3. On Design Evaluation Based on Functional Modeling

      • Stephan Rudolph

      Pages 124-135

4. Design Knowledge Representation

   1. Front Matter

      Pages 137-137

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   2. Case Studies of Ontology for the Knowledge Intensive Engineering Framework

      • Takayuki Sekiya, Tetsuo Tomiyama

      Pages 139-156

   3. Active Catalog: A Knowledge-Rich Design Library Facilitating Information Consumption

      • Ping Luo, Peter Will

      Pages 157-172

   4. Graphical Presentation of Designs: A Knowledge Intensive Design Approach

      • Marton E. Balazs, David C. Brown, Peter Bastien, Craig E. Wills

      Pages 173-188

   5. The RACE Asynchronous Collaboration Environment Project

      • T. Kiriyama, A. Kubota

      Pages 189-197

   6. Object Modeling to Localize Knowledge for Feature Interrelationships

      • T. J. Peters, S. A. Demurjian, R. McCartney, D. M. Needham

      Pages 198-207

   7. Structuring Knowledge of Life-Cycle Consequences for Supporting Concurrent Design Exploration

      • J. Borg, K. J. MacCallum

      Pages 208-223

   8. Classification of Geometric Design Information and Manipulation for Vague Geometric Modelling

      • X. Guan, K. J. MacCallum, A. H. B. Duffy

      Pages 224-236

   9. Dealing with standard components for knowledge intensive CAD

      • S. J. Culley, G. Theobald

      Pages 237-255

5. Knowledge Intensive Design for the Life-Cycle

   1. Front Matter

      Pages 257-257

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Computer Aided Design (CAD) technology plays a key role in today's advanced manufacturing environment. To reduce the time to market, achieve zero defect quality the first time, and use available production and logistics resources effectively, product and design process knowledge covering the whole product life-cycle must be used throughout product design. Once generated, this intensive design knowledge should be made available to later life-cycle activities. Due to the increasing concern about global environmental issues and rapidly changing economical situation worldwide, design must exhibit high performance not only in quality and productivity, but also in life-cycle issues, including extended producer's liability. These goals require designers and engineers to use various kinds of design knowledge intensively during product design and to generate design information for use in later stages of the product life-cycle such as production, distribution, operation, maintenance, reclamation, and recycling. Therefore, future CAD systems must incorporate product and design process knowledge, which are not explicitly dealt with in the current systems, in their design tools and design object models.

• Recycling
• architecture
• computer
• computer-aided design (CAD)
• design
• design process
• environment
• knowledge representation
• logistics
• maintenance
• manufacturing
• product design
• production
• quality
• technology

• Laboratory of Information Processing Science, Helsinki University of Technology, Finland

  Martti Mäntylä

• Department of Civil Engineering, Carnegie Mellon University, Pittsburgh, USA

  Susan Finger

• Department of Precision Machinery Engineering, University of Tokyo, Japan

  Tetsuo Tomiyama

Martti Mäntylä is a Professor at the Laboratory of Information Processing Science, Helsinki University of Technology, Finland. Susan Finger is a Professor at the Department of Civil Engineering, Carnegie Mellon University, Pittsburgh, PA, USA. Tetsuo Tomiyama is a Professor at RACE, The University of Tokyo, Japan.

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