Knowledge Intensive Computer Aided Design

1. Front Matter

   Pages i-xi

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2. Report on Workshop

   1. Front Matter

      Pages 1-1

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   2. Knowledge Intensive Computer Aided Design: Past, Present and Future

      • Tetsuo Tomiyama, Ken Ping Hew

      Pages 3-18

3. Invited Talk

   1. Front Matter

      Pages 19-19

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   2. Supporting the Knowledge Life-Cycle

      • Luciënne Blessing, Ken Wallace

      Pages 21-38

4. Ontology

   1. Front Matter

      Pages 39-39

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   2. Ontological Commitments in Knowledge-Based Design Software: A Progress Report

      • Filippo A. Salustri

      Pages 41-72

   3. Classification of Knowledge for Generating Engineering Models

      • Takayuki Sekiya, Akira Tsumaya, Tetsuo Tomiyama

      Pages 73-90

   4. Design History System: Data Models & Prototype Implementation

      • Jami J. Shah, S. Rangaswamy, Sohail Qureshi, Susan D. Urban

      Pages 91-114

5. Knowledge Intensive CAD (KIC)

   1. Front Matter

      Pages 115-115

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   2. Modeling of Product Life-cycle Knowledge and Data for an Intelligent Concurrent Design System

      • Deyi Xue

      Pages 117-142

   3. Model Sharing among Agents in a Concurrent Product Development Team

      • Masanori Ozawa, Mark R. Cutkosky, Brian J. Howley

      Pages 143-165

   4. Design-to-Manufacture Information Transfer in the Context of Solid Freeform Fabrication Technologies

      • David W. Rosen

      Pages 167-196

   5. An Application of the Knowledge Intensive Engineering Framework to Building Foundation Design

      • Masaharu Yoshioka, Yasuhiro Shamoto, Tetsuo Tomiyama

      Pages 197-212

6. Knowledge Intensive Design (KID)

   1. Front Matter

      Pages 213-213

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   2. Supporting Conceptual Design: A Model for Reflective-Interactive Design

      • Bill Chan, Susan Finger

      Pages 215-236

   3. A Knowledge Based Engineering Application to Support Weight Distribution Analysis for IRL Cars

      • L. Susca, F. Mandorli, C. Rizzi, U. Cugini

      Pages 237-254

   4. Lens Barrel Design Based On Distributed Knowledge-Base

      • Kiso Bok, Sehyun Myung, Soon-Hung Han

      Pages 255-271

7. Knowledge Representation for KIC

   1. Front Matter

      Pages 273-273

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   2. Guiding Agent Learning in Design

      • Dan L. Grecu, David C. Brown

      Pages 275-293

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 at first production, 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. This requires 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 is not explicitly dealt with in the current systems, in their design tools and design object models.

• architecture
• classification
• computer-aided design (CAD)
• engineering design
• knowledge base
• knowledge management
• knowledge representation
• learning
• model
• modeling
• ontology

• Department of Civil Engineering, Carnegie Mellon University, USA

  Susan Finger

• Research into Artifacts, Center for Engineering (RACE), The University of Tokyo, Japan

  Tetsuo Tomiyama

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

  Martti Mäntylä

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. Martti Mäntylä is a Professor at the Laboratory of Information Processing Science, Helsinki University of Technology, Finland.

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