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research-article

Engineering Change Management of Product Design Using MBD Technology

[+] Author and Article Information
Leilei Yin

College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
yllwyp@163.com

Dunbing Tang

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

Qi Wang

College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
wq001115@126.com

Inayat Ullah

College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
anykhattak@yahoo.com

Haitao Zhang

College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
toby_sh@163.com

1Corresponding author.

ASME doi:10.1115/1.4036121 History: Received March 04, 2016; Revised February 13, 2017

Abstract

As EC (engineering change) 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 is scattered in different forms and the product data is acquired manually from various files in the EC management, which is time-consuming and error-prone. In this work, DCMBD (design change-oriented model-based definition) 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 engineering changes. 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 proposed 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 and topology face change influence are presented to evaluate the change impact. Finally, a prototype system for product design change is developed and a case study is demonstrated to tentatively show how the MBD-based method can be applied to the product design change.

Copyright (c) 2017 by ASME
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