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Semantic Modeling and Interoperability in Product and Process Engineering

by Ma, Yongsheng.
Authors: SpringerLink (Online service) Series: Springer Series in Advanced Manufacturing, 1860-5168 Physical details: XVIII, 389 p. 200 illus., 63 illus. in color. online resource. ISBN: 1447150732 Subject(s): Engineering. | Computer simulation. | Engineering design. | Engineering economy. | Engineering. | Engineering Economics, Organization, Logistics, Marketing. | Engineering Design. | Simulation and Modeling. | Innovation/Technology Management.
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Item type Location Call Number Status Date Due
E-Book E-Book AUM Main Library 658.5 (Browse Shelf) Not for loan

1.Introduction to Engineering Informatics -- 2.A Review of Data Representation of Product and Process Models -- 3.An Example of Feature Modeling Application: Smart Design for Well-Drilling Systems -- 4.Fundamental Concepts of Generic Features -- 5.United Feature Paradigm -- 6.Features and Interoperability of Computer Aided Engineering Systems -- 7.Data Representation and Modeling for Process Planning -- 8.Computation of Offset Curves Using a Distance Function: Addressing a Key Challenge in Cutting Tool Path Generation -- 9.Feature Transformation from Configuration of Open-Loop Mechanisms into Linkages with a Case Study -- 10.Feature-Based Mechanism Design -- 11.A Smart Knowledge Capturing Method in Enhanced Generative Design Cycles.

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.

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