Computing Manufacturing in Digital Manufacturing Science

Digital manufacturing concerns systematically researching the manufacturing processes, equipment, technology, organization, management, marketing and control of a series of problems from discrete, systematic, dynamic, non-linear and time-varying viewpoints. The discrete and numeral processes involve a series of basic theory problems, such as how to synthetically consider different kinds of computation problems about manufacturing systems and processes with regard to digitization, how to establish formalization representations, construct effective computation models and propose highly effective computational methods, which is one of the basic theory problems that must be researched and solved in digital manufacturing. Computing manufacturing aims to integrate computational geometry, processing principles, sensor information fusion, network control and maintenance and computational intelligence methods by using the computer to represent, compute, reason and process the manufacturing process and manufacturing system (including geometric representation, computation, optimization and reasoning of manufacturing), to solve feature and geometric modeling, reasoning, control, planning, scheduling and management of complex calculation and analysis in the manufacturing process. Thus, computing manufacturing science is the core of digital manufacturing.

[1]  Zhu Haiping Study on Manufacturing System Modeling Based on Improved Stochastic Statechart , 2006 .

[2]  Mohamed A. Elbestawi,et al.  Tool Condition Monitoring in Machining - Neural Networks , 2006, BASYS.

[3]  Wenyu Yang,et al.  Manufacturability analysis for 5-axis sculptured surface machining , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[4]  Bin Wu An introduction to neural networks and their applications in manufacturing , 1992, J. Intell. Manuf..

[5]  Joseph S. B. Mitchell On Some Applications of Computational Geometry in Manufacturing and Virtual Environments , 1996, WACG.

[6]  Yoshimi Takeuchi,et al.  Collision-free tool path generation using 2-dimensional C-space for 5-axis control machining , 1997 .

[7]  Song Yu-yin RESEARCH ON PART INFORMATION MODEL BASED ON GENERALIZED FEATURE , 1999 .

[8]  Youlun Xiong,et al.  A virtual prototyping approach to mold design , 1999, IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).

[9]  Micha Sharir,et al.  Combinatorial Geometry and Its Algorithmic Applications , 2008 .

[10]  Piero P. Bonissone,et al.  Evolutionary algorithms + domain knowledge = real-world evolutionary computation , 2006, IEEE Transactions on Evolutionary Computation.

[11]  M. A. Elbestawi,et al.  General geometric modelling approach for machining process simulation , 1997 .

[12]  T. Soriano,et al.  Modelling the behaviour of a mechatronic system in a virtual prototyping environment , 2005, 2005 International Conference on Information and Communication Technology.

[13]  H. Christofol,et al.  Cyberspace parameters for optimising virtual manufacturing , 2002, IEEE International Conference on Systems, Man and Cybernetics.

[14]  Stefan Carlsson,et al.  Combinatorial Geometry for Shape Representation and Indexing , 1996, Object Representation in Computer Vision.

[15]  Tong Shuiguang Point-based geometric model applied to CAD/CAM , 2006 .

[16]  Amir Khajepour,et al.  Minimum-norm Solution for the Actuator Forces in Cable-based Parallel Manipulators based on Convex Optimization , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[17]  Wang Cheng-en Manufacturing Information Model During the Product Lifecycle , 2005 .

[18]  F. G. Pin,et al.  3-D world modeling based on combinatorial geometry for autonomous robot navigation , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[19]  Zhou Hong-juan The Geometric Reasoning Algorithm for Grasping Posture of Intelligent Robot , 2004 .

[20]  Fei Tao,et al.  Modelling of manufacturing resource in manufacturing grid based on XML , 2006, 2006 4th IEEE International Conference on Industrial Informatics.

[21]  Kazuaki Iwata,et al.  Modeling of linear objects considering bend, twist, and extensional deformations , 1995, Proceedings of 1995 IEEE International Conference on Robotics and Automation.

[22]  Chi-Hsing Hsu,et al.  Fuzzy decision modeling for manufacturability evaluation under the concurrent engineering environment , 2001, Proceedings Joint 9th IFSA World Congress and 20th NAFIPS International Conference (Cat. No. 01TH8569).

[23]  Zhang Yong-qing Methods for Data Acquisition and Geometry Modeling in Reverse Engineering , 2000 .

[24]  J. A. Rowson Virtual prototyping , 1997, Proceedings of CICC 97 - Custom Integrated Circuits Conference.

[25]  Hou Yong-tao Research on assembly tool information model oriented assembly process planning and simulation , 2007 .

[26]  John Woodwark Shape models in computer integrated manufacture-a review , 1988 .