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Research Papers

A Study on Module Clustering and Evaluation of Large Gantry Machining Centers

[+] Author and Article Information
Weifang Chen

Professor
e-mail: Meewfchen@nuaa.edu.cn

Lijie Cao

e-mail: 15850664351@163.com

Wenhua Ye

Professor
e-mail: whye@nuaa.edu.cn
Jiangsu Key Laboratory of Precision and
Micro-Manufacturing Technology,
No. 29 Yudao Street,
Nanjing 210016, China;
College of Mechanical and
Electrical Engineering,
Nanjing University of Aeronautics
and Astronautics,
No. 29, Yudao Street,
Nanjing 210016, China

1Corresponding author.

Contributed by Design Engineering Division of ASME for publication in the Journal of Computing and Information Science in Engineering. Manuscript received September 14, 2012; final manuscript received February 17, 2013; published online April 22, 2013. Editor: Bahram Ravani.

J. Comput. Inf. Sci. Eng 13(2), 021006 (Apr 22, 2013) (10 pages) Paper No: JCISE-12-1155; doi: 10.1115/1.4023861 History: Received September 14, 2012; Revised February 17, 2013

Due to the various requirements of users and large volume of machine tools, most machine tool manufacturers are adopting the small-lot production mode, which largely prolongs the product development cycle. To raise the design efficiency and reduce the complexity, modular design is becoming widely used in serial production of machine tools, especially large gantry machining centers. In this paper, we introduced a function and structure decomposition method to construct the function and structure correlations between components and employed a clustering method based on atomic theory to solve the module clustering problems. The clustering algorithm is modified by integrating the function and structure matrices in order that it applies to modularization of large machine tools. Furthermore, an evaluation method based on the concept of entropy is proposed here to evaluate and optimal select module partition schemes. Finally, we took the large gantry machining center QLMT6300 as an example and compiled the program with Microsoft Visual C++ 6.0 to illustrate the validity of the methods proposed. The presented clustering and evaluation method can be easily applied to different machine tools for modular design, reducing the work amount of designers.

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Figures

Grahic Jump Location
Fig. 1

Product function decomposition

Grahic Jump Location
Fig. 2

Product structure decomposition

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Fig. 3

Atomic structure and Coulomb's law

Grahic Jump Location
Fig. 4

Weight hierarchy of component relations

Grahic Jump Location
Fig. 5

Structure Diagram of QLMT6300

Grahic Jump Location
Fig. 6

Product function and structure decomposition diagram

Grahic Jump Location
Fig. 7

Module partition interface

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