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Design Property Network-Based Change Propagation Prediction Approach for Mechanical Product Development

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Abstract

Design changes are unavoidable during mechanical product development; whereas the avalanche propagation of design change imposes severely negative impacts on the design cycle. To improve the validity of the change propagation prediction, a mathematical programming model is presented to predict the change propagation impact quantitatively. As the foundation of change propagation prediction, a design change analysis model(DCAM) is built in the form of design property network. In DCAM, the connections of the design properties are identified as the design specification, which conform to the small-world network theory. To quantify the change propagation impact, change propagation intensity(CPI) is defined as a quantitative and much more objective assessment metric. According to the characteristics of DCAM, CPI is defined and indicated by four assessment factors: propagation likelihood, node degree, long-chain linkage, and design margin. Furthermore, the optimal change propagation path is searched with the evolutionary ant colony optimization(ACO) algorithm, which corresponds to the minimized maximum of accumulated CPI. In practice, the change impact of a gear box is successfully analyzed. The proposed change propagation prediction method is verified to be efficient and effective, which could provide different results according to various the initial changes.

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Authors and Affiliations

  1. Key Laboratory of High Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan, 250061, China

    Songhua MA, Zhaoliang JIANG, Wenping LIU & Chuanzhen HUANG

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  1. Songhua MA
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  2. Zhaoliang JIANG
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  3. Wenping LIU
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  4. Chuanzhen HUANG
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Corresponding author

Correspondence to Songhua MA.

Additional information

Supported by Postdoctoral Science Foundation of China (Grant No. 2015M572022), National Natural Science Foundation of China(Grant No. 51505254), and Distinguished Middle-Aged and Young Scientist Encourage and Reward Foundation of Shandong Province (Grant No. BS2015ZZ004).

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MA, S., JIANG, Z., LIU, W. et al. Design Property Network-Based Change Propagation Prediction Approach for Mechanical Product Development. Chin. J. Mech. Eng. 30, 676–688 (2017). https://doi.org/10.1007/s10033-017-0099-z

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  • DOI: https://doi.org/10.1007/s10033-017-0099-z

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