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Research Papers

Engineering Change Management of Product Design Using Model-Based Definition Technology

[+] Author and Article Information
Leilei Yin

College of Mechanical and
Electrical Engineering,
Nanjing University of Aeronautics
and Astronautics,
Nanjing 210016, China
e-mail: yllwyp@163.com

Dunbing Tang

College of Mechanical and
Electrical Engineering,
Nanjing University of Aeronautics
and Astronautics,
Nanjing 210016, China
e-mail: d.tang@nuaa.edu.cn

Qi Wang

College of Mechanical and
Electrical Engineering,
Nanjing University of Aeronautics
and Astronautics,
Nanjing 210016, China
e-mail: wq001115@126.com

Inayat Ullah

College of Mechanical and
Electrical Engineering,
Nanjing University of Aeronautics
and Astronautics,
Nanjing 210016, China
e-mail: anykhattak@yahoo.com

Haitao Zhang

College of Mechanical and
Electrical Engineering,
Nanjing University of Aeronautics
and Astronautics,
Nanjing 210016, China
e-mail: toby_sh@163.com

1Corresponding author.

Contributed by the Computers and Information Division of ASME for publication in the JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING. Manuscript received March 4, 2016; final manuscript received February 13, 2017; published online May 16, 2017. Assoc. Editor: Yong Chen.

J. Comput. Inf. Sci. Eng 17(4), 041006 (May 16, 2017) (19 pages) Paper No: JCISE-16-1876; doi: 10.1115/1.4036121 History: Received March 04, 2016; Revised February 13, 2017

As engineering change (EC) is an inevitable activity in the industry and uses a lot of engineering design resources, the management of EC has become a crucial discipline. In current researches, most of the data related to the product design change are scattered in different forms and the product data are acquired manually from various files in the EC management, which is time-consuming and error-prone. In this work, design change-oriented model-based definition (DCMBD) model is defined as the sole data source. Based on the proposed DCMBD model, this work presents a method to acquire the product changes automatically and evaluate design change propagation proactively in a uniform way. The objective of the proposed method is to effectively and efficiently manage ECs. In this paper, first, DCMBD model is defined specifically, which records the product data: geometry, material, tolerance and annotations, relations of product items, lifecycle data, etc. Then, based on the defined DCMBD model, algorithms are presented to automatically acquire two types of product change: parameter change and topology face change. Next, relation models for the product items (parameter and topology face) are demonstrated. After that, the change propagation in terms of parameters and topology faces are clarified. Meanwhile, indices of parameter change influence (PCI) and topology face change influence (TFCI) are presented to evaluate the change impact. Finally, a prototype system for product design change is developed and a case study is demonstrated to show how the proposed method can be applied to the product design change.

Copyright © 2017 by ASME
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Figures

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Fig. 1

Example of design change-oriented MBD model

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Fig. 2

Flowchart of identifying the parameter change

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Fig. 3

Topology structure for a part: (a) cuboid with a hole in it and (b) topology tree

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Fig. 4

Examples of the change types of topology face

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Fig. 5

Flowchart of identifying the topology face change

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Fig. 6

Graph of adjacent faces of a part (a schematic diagram)

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Fig. 7

Example of topology face relations between original and changed parts: (a) topology face adjacent relations for original cuboid and (b) topology face adjacent relations for changed cuboid

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Fig. 8

Parameter relation acquisition

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Fig. 9

Parameter relation between parts DCMBD models

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Fig. 10

Example of parameter relations for a press machine

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Fig. 11

Acquisition of topology face relation between parts

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Fig. 12

Constraints between parts DCMBD models formatted in RM

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Fig. 13

Example of topology face relations for a press machine: (a) RM of the press machine and (b) part–part RM (rod, crank)

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Fig. 14

Acquisition of topology face relation within a part DCMBD model

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Fig. 15

Adjacent relations within a part DCMBD model formatted in RM

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Fig. 16

Flowchart of design change process

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Fig. 17

DCMBD models of material-transfer platform

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Fig. 18

Parameter change propagation

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Fig. 19

Analysis of parameter change propagation

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Fig. 20

Topology face change propagation

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Fig. 21

Analysis of topology face change propagation

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