Research on the Multi-Objective Optimization Design of Connecting Claw Jig

Yan, Yinfei; Fu, Na; Zhang, Xin; Cheng, Wang; Sun, Jie; Lu, Laixiao

doi:10.1007/s13296-021-00542-6

Cited by 1 publication

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References 15 publications

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“…Yan et al conducted the multi-objective optimal design of a connecting claw jig with ANSYS Workbench finite element analysis software (Yan et al, 2021). The maximum equivalent stress (MPa) Y1, the weight (kg) Y2, the minimum safety factor Y3 and the maximum deformation (mm) Y4 of the claw jig are taken as the optimization objectives, while the thickness of the substrate FD1 (mm) x1, the angle of the connecting claw A1 (°) x2, the thickness of the connecting claw FD2 (mm) x3, and the outside diameter of the jig base R1 (mm) x4 are taken as the input variables.…”

Section: ) Optimal Design Of a Connecting Claw Jigmentioning

confidence: 99%

Application of probability-based multi-objective optimization in material engineering

Zheng¹

2022

Vojnotehnički glasnik

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Introduction/purpose: Althought many methods have been proposed to deal with the problem of material selection, there are inherent defects of additive algorithms and subjective factors in such algorithms. Recently, a probability-based multi-objective optimization was developed to solve the inherent shortcomings of the previous methods, which introduces a novel concept of preferable probability to reflect the preference degree of the candidate in the optimization. In this paper, the new method is utilized to conduct an optimal scheme of the switching material of the RF-MEMS shunt capacitive switch, the sintering parameters of natural hydroxyapatite and the optimal design of the connecting claw jig. Methods: All performance utility indicators of candidate materials are divided into two groups, i.e., beneficial or unbeneficial types for the selection process; each performance utility indicator contributes quantitatively to a partial preferable probability and the product of all partial preferable probabilities makes the total preferable probability of a candidate, which transfers a multi-objective optimization problem into a single-objective optimization one and represents a uniquely decisive index in the competitive selection process. Results: Cu is the appropriate material in the material selection for RF - MEMS shunt capacitive switches; the optimal sintering parameters of natural hydroxyapatite are at 1100°C and 0 compaction pressure; and the optimal scheme is scheme No 1 for the optimal design of a connecting claw jig. Conclusion: The probability-based multi-objective optimization can be easily used to deal with an optimal problem objectively in material engineering.

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Section: ) Optimal Design Of a Connecting Claw Jigmentioning

confidence: 99%

Application of probability-based multi-objective optimization in material engineering

Zheng¹

2022

Vojnotehnički glasnik

View full text Add to dashboard Cite

show abstract

Research on the Multi-Objective Optimization Design of Connecting Claw Jig

Cited by 1 publication

References 15 publications

Application of probability-based multi-objective optimization in material engineering

Application of probability-based multi-objective optimization in material engineering

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