Abstract
The tolerance design of product affects the cost of the product, as well as its reliability. To address the problem that traditional tolerance design models only focus on product value factors but neglect the product robustness, first this paper introduces a product robustness evaluation index into the tolerance optimization allocation. Taking the product robustness and product quality loss cost as the objectives, and letting the processing capability as constraint, a new multi-objective optimization model of tolerance allocation is established, and a solution algorithm based on particle swarm algorithm is given. The applicability and effectiveness of the model are verified by using the DC-DC circuit system of a television mainboard as an example.
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Li, S., Zheng, R., Yang, Y., He, C., Zhang, Y. (2023). A PSO-Based Product Design Tolerance Optimization Method Considering Product Robustness. In: Tan, Y., Shi, Y., Luo, W. (eds) Advances in Swarm Intelligence. ICSI 2023. Lecture Notes in Computer Science, vol 13968. Springer, Cham. https://doi.org/10.1007/978-3-031-36622-2_15
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