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Deja M, Siemiatkowski M S. Machining process sequencing and machine assignment in generative feature-based CAPP for mill-turn parts. J Manuf Syst, 2018, 48: 49-62.

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Article

Integrated Optimization Model for Concurrent Tolerancing Allocation and Alternative Manufacturing Process Selection

1School of Intelligent Manufacturing, Jianghan University, Wuhan 430056, China

2Wuhan Urban Railway Branch, China Railway Electrification Engineering Group Co., Ltd. Wuhan 430074, China


American Journal of Mechanical Engineering. 2025, Vol. 13 No. 1, 11-20
DOI: 10.12691/ajme-13-1-3
Copyright © 2025 Science and Education Publishing

Cite this paper:
Heping Peng, Zhuoqun Peng, Qianpeng Han. Integrated Optimization Model for Concurrent Tolerancing Allocation and Alternative Manufacturing Process Selection. American Journal of Mechanical Engineering. 2025; 13(1):11-20. doi: 10.12691/ajme-13-1-3.

Correspondence to: Heping  Peng, School of Intelligent Manufacturing, Jianghan University, Wuhan 430056, China. Email: hbjhun_hppenn@163.com

Abstract

Most of the existing concurrent tolerancing methods can only be used to solve optimal tolerance allocation problems under the conditions of given manufacturing processes and economical process tolerance ranges, which are difficult to get the global optimization solutions of process and design tolerances, as well as the most economical processing routes. With the aim to address these shortcomings, an optimization mathematical model was developed in this paper, in which we consider the selection of alternative manufacturing processes by introducing a manufacturing process selection coefficient into the existing concurrent tolerancing model. The recommended model simultaneously allocates the design and process tolerances with alternative machining process selection by minimizing the total cost including the production cost and the expected quality loss, and taking the product function requirements, the economic machining tolerance range for each alternative process operation, and alternative manufacturing process selection as constraints. In order to accurately solve this discrete integrated optimization model, the MATLAB R2016b is adopted as a nonlinear programming technique to achieve the optimization solution of concurrent tolerancing allocation and manufacturing process selection. The numerical example of a gear assembly proves that the proposed model can not only select manufacturing processes but also realize concurrent optimization allocation of tolerances.

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