Optimal Tolerance Allocation in a Complex Assembly Using Evolutionary Algorithms

Kumar, Lalitesh; Padmanaban, K.; Balamurugan, C.

doi:10.2507/ijsimm15(1)10.331

Cited by 12 publications

(3 citation statements)

References 34 publications

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“…In addition, when facing with complex tolerance design problems, some scholars also put forward a hybrid optimization model with multiple algorithms. Kumar [3] combined genetic algorithm (GA), NSGA-Ⅱ and Differential evolution algorithm (DE) to determine the optimal clutch tolerance, zero rejection rate and manufacturing cost based on mass loss. Haghighi [4] proposed a joint dimensional tolerance design and manufacturing method based on asymmetrical error distribution and considering assembly specifications and confidence.…”

Section: Introductionmentioning

confidence: 99%

Tolerance optimization design of RV reducer's cycloid-pin gear pair considering multiple targets

Chen

2023

International Conference on Optical Technology, Semiconductor Materials, and Devices (OTSMD 2022)

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In this paper, a multi-objective optimization model for the processing cost, quality loss and tolerance cost sensitivity of RV reducer's cycloid-pin gear pair is constructed. The tolerance range is constrained based on the accuracy requirement and the actual machining capacity, and the design requirements of the gear pair clearance and allowable backlash are considered comprehensively. The tolerance optimization design of cycloid-pin gear pair is carried out by using NSGA-Ⅱ algorithm. The effectiveness and feasibility of tolerance optimization design are verified by comparing and analyzing the results before and after optimization.

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Section: Introductionmentioning

confidence: 99%

Tolerance optimization design of RV reducer's cycloid-pin gear pair considering multiple targets

Chen

2023

International Conference on Optical Technology, Semiconductor Materials, and Devices (OTSMD 2022)

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“…For instance, the LMM was only used for simple products [1,8,42,43], which have only two mating components. Several works have been reported on finding the optimum allocated tolerance values for the components of complex assembly [44][45][46][47][48][49][50][51]. A limited number of authors have concentrated on non-linear assembly products that consist of more than two components [20,26,38].…”

Section: Introductionmentioning

confidence: 99%

A Novel Methodology for Simultaneous Minimization of Manufacturing Objectives in Tolerance Allocation of Complex Assembly

et al. 2021

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Tolerance cost and machining time play crucial roles while performing tolerance allocation in complex assemblies. The aim of the proposed work is to minimize the above-said manufacturing objectives for allocating optimum tolerance to the components of complex assemblies, by considering the proper process and machine selections from the given alternatives. A novel methodology that provides a two-step solution is developed for this work. First, a heuristic approach is applied to determine the best machine for each process, and then a combined whale optimization algorithm with a univariate search method is used to allocate optimum tolerances with the best process selection for each sub-stage/operation. The efficiency of the proposed novel methodology is validated by solving two typical tolerance allocation problems of complex assemblies: a wheel mounting assembly and a knuckle joint assembly. Compared with previous approaches, the proposed methodology showed a considerable reduction in tolerance cost and machining time in relatively less computation time.

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“…Multispecies mixed ASSEMBLY LINEs are the auto production and processing way adopted by all large auto enterprises currently. The production is mainly influenced by the assembling sequence constraint, time tempo constraint, and alterable task time, concurrent assembling staffing, and other factors [6][7][8][9][10]. Different auto appearances, inner trims, power system, etc.…”

Section: Introductionmentioning

confidence: 99%

An Optimization Model for Automobile Mixed Assembly Line under Multiple Constrains

He¹,

Li²,

Wang³

et al. 2016

Int. j. simul. model.

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To solve the problems in planning and design of automobile mixed-model assembly line, this paper puts forward the improved genetic algorithm-based equilibrium optimization algorithm for the automobile mixed assembly line and establishes corresponding theoretical model. The convergence and feasibility of the model are analysed, and the optimization model presented in this paper is verified by the assembling situation of the actual assembly line of an automobile door. The research conclusions are as follows. The optimized scheduling mathematical model under multiple constrains of the automobile assembly line was established and improvements were made to the traditional genetic algorithm. Self-adaptive genetic operator was added to the original model. The performance verification indicated that the time consumption of CPU in the proposed improved algorithm is much less, and its maximum load is larger, so it has better convergence compared with traditional genetic algorithm. The improved optimal algorithm of automobile mixed ASSEMBLY LINE was verified taking into consideration such constraint conditions as the proportion of a single product put into assembly line, staffing, and balance of the left door and right door. It is found that the overall balance efficiency is about 92 %, reaching the standard for leaving factory. When the proportion of a single product that was put into production gradually rises, the overall time-consumption of the whole assembly line becomes shorter and shorter and the balance efficiency of the mixed assembly line presents a "U-shape" variation trend, first decreasing and then increasing. The growth of workers doesn't have an obvious impact on the assembling time consumption.

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Optimal Tolerance Allocation in a Complex Assembly Using Evolutionary Algorithms

Cited by 12 publications

References 34 publications

Tolerance optimization design of RV reducer's cycloid-pin gear pair considering multiple targets

Tolerance optimization design of RV reducer's cycloid-pin gear pair considering multiple targets

A Novel Methodology for Simultaneous Minimization of Manufacturing Objectives in Tolerance Allocation of Complex Assembly

An Optimization Model for Automobile Mixed Assembly Line under Multiple Constrains

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