Materials Information for CAD/CAM addresses the problem of designing databases, expert system, communication systems, and decision support aids that can be integrated with manual and software-supported tasks in design and manufacture, in CAD and CAM. This book covers tasks of materials selection, materials process simulation, and materials modelling that involve access to materials identification or property information. Organized into eight chapters, this book begins with an overview of the use of materials information in engineering design and manufacture. This text then explains how computerized CAD/CAM systems change the ways in which this information has been effectively used. Other chapters consider the organizational and technical aspects of data interchange in general. This book discusses as well the requirements in representing materials information in databases. The final chapter deals with integrated design environments with respects to their capabilities for utilizing materials information. This book is intended to be suitable for anyone who is planning the construction, management, or use of any kind of engineering materials property information system.
Preface 1 Introduction and Reader's Guide Materials and Design Design and Manufacture How This Book is Organized 2 Materials Selection Introduction Practical Issues Concurrent Engineering Data for Design The Ashby Methods Five More Techniques Selection Extends over Time From Data to Information 3 Representing Information Representation and Integration Materials Information Relationships and Adequacy Naming Information Resource Dictionaries McCarthy's Data Thesaurus 4 Data Interchange Technologies Background Item Based Formats Table Based Formats Conclusions on Format Types History of Data Interchange CALS and SGML Techno-Economic Materials Data Open Distributed Processing 5 Decisions and Selection Background The Selection Problem Theorems and Pitfalls Materials Selection Proposal Summary 6 Information Quality Background Quality and Data Interchange Survey of Studies of Data Quality Data Quality Levels Data Reporting and Identification Quality Indicators Organizations, Staff and Procedures Conclusions on Information Quality 7 Knowledge-Based Systems Introduction Models: Types of Expert System Fragility Tutorial Systems Big Systems The Future 8 CAD/CAM Environments Introduction Trends in Design Environments Capricious and Stable Information Creating Information Components Foretelling the Future Glossary References Index
- No. of pages:
- © Butterworth-Heinemann 1991
- 19th August 1991
- eBook ISBN: