Springer Series in Advanced Manufacturing

Semantic Modeling and Interoperability in Product and Process Engineering

A Technology for Engineering Informatics

Editors: Ma, Yongsheng (Ed.)

  • Expands the scope of feature technology into more open engineering semantic modelling and provides a framework of technological solution for system integration and information sharing
  • Presents a set of researched methods that can consistently represent and uniformly manage engineering semantics in the ever dynamic evolvement of modern enterprises
  • Covers some insightful case studies that show the promising application prospects at different stages and in different areas of design and manufacturing
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About this book

In the past decade, feature-based design and manufacturing has gained some momentum in various engineering domains to represent and reuse semantic patterns with effective applicability. However, the actual scope of feature application is still very limited. Semantic Modeling and Interoperability in Product and Process Engineering provides a systematic solution for the challenging engineering informatics field aiming at the enhancement of sustainable knowledge representation, implementation and reuse in an open and yet practically manageable scale.

 

This semantic modeling technology supports uniform, multi-facet and multi-level collaborative system engineering with heterogeneous computer-aided tools, such as CADCAM, CAE, and ERP.  This presented unified feature model can be applied to product and process representation, development, implementation and management. Practical case studies and test samples are provided to illustrate applications which can be implemented by the readers in real-world scenarios.

 

By expanding on well-known feature-based design and manufacturing approach, Semantic Modeling and Interoperability in Product and Process Engineering provides a valuable reference for researchers, practitioners and students from both academia and engineering field.

About the authors

Dr. Yongsheng Ma is a professor in the Department of Mechanical Engineering, University of Alberta (U of A), Canada. He joined U of A in 2007. Before that, Dr. Ma had been with Nanyang Technological University, Singapore, since 2000. From 1996 to 2000, Dr. Ma was with the Singapore Institute of Manufacturing Technology (SIMTech) starting as a senior research fellow and group manager. He was a lecturer at Ngee Ann Polytechnic from 1993 to 1996.

 Dr. Ma received his B. Eng. from TsingHua University, China (1986), and both MSc and PhD degrees from Manchester University, UK (1990 and 1994).

Dr. Ma’s main research areas include CADCAM, engineering informatics, feature-based product and process modelling, and product lifecycle management (PLM). Dr. Ma’s expertise is in feature-based intelligent product and engineering process informatics. Dr. Ma had led a team of researchers at SIMTech (1996-2000), and developed a plastic mould design software tool named QuickMouldTM, which had been commercialized and known as MoldwizardTM under Siemens NX product series.

Dr. Ma proposed a fundamental framework of associative feature theory in 2003. This pioneering work suggests an advanced feature modeling method that supports engineering feature objects consistently across the iterative engineering phases of a product and process system from cradle to grave. It was commented by a recent paper in the Journal of CAD that the associative feature concept “bridges the gap between the interfacing of knowledge-oriented tools and CAD applications”. Further, together with his students, Dr. Ma proposed unified feature scheme which was intended to enable computer systems to support geometrical and non-geometrical feature associations, which represents facts in the higher level knowledge model.

Dr. Ma was awarded SBFSS scholarship from China government in 1987. In 2012, he won Alberta Science and Technology Leadership award for outstanding achievement in applied technology and innovation.

Table of contents (11 chapters)

  • Introduction to Engineering Informatics

    Sajadfar, Narges (et al.)

    Pages 1-29

  • A Review of Data Representation of Product and Process Models

    Sajadfar, Narges (et al.)

    Pages 31-51

  • An Example of Feature Modeling Application: Smart Design for Well-Drilling Systems

    Rahman, Rajiur S. M. (et al.)

    Pages 53-87

  • Fundamental Concepts of Generic Features

    Tang, S.-H. (et al.)

    Pages 89-115

  • Unified Feature Paradigm

    Cheng, Zhengrong (et al.)

    Pages 117-142

Buy this book

eBook $159.00
price for USA (gross)
  • ISBN 978-1-4471-5073-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $209.00
price for USA
  • ISBN 978-1-4471-5072-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $209.00
price for USA
  • ISBN 978-1-4471-5909-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Semantic Modeling and Interoperability in Product and Process Engineering
Book Subtitle
A Technology for Engineering Informatics
Editors
  • Yongsheng Ma
Series Title
Springer Series in Advanced Manufacturing
Copyright
2013
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-4471-5073-2
DOI
10.1007/978-1-4471-5073-2
Hardcover ISBN
978-1-4471-5072-5
Softcover ISBN
978-1-4471-5909-4
Series ISSN
1860-5168
Edition Number
1
Number of Pages
XVIII, 389
Topics