Genetic-algorithm-based optimal tolerance allocation using a least-cost model

Prabhaharan, G.; Asokan, P.; Ramesh, P.; Rajendran, S.

doi:10.1007/s00170-003-1606-1

Cited by 51 publications

(36 citation statements)

References 7 publications

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“…And we also consider the lapping process of the machine tool slideway is the main job in machine tool assembly, then the slideway length of every axes are considered as the lapping process size. So, according the lapping processes cost-tolerance functions data and the process size, we determined the values of a i , b i , and e i , as shown in Table 3.Here the value a i is assumed to be 0 $, because it does not affect the optimization calculation, while this value actually depends on the industry, since the setup cost, equipment cost, etc., varies from industry to industry [27]. A series of values of the assembly time T j as described in section 5.1.1 are given also by consulting, as shown in Table 3.…”

Section: Discussion Of the Optimization Resultsmentioning

confidence: 99%

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Sculptured surface-oriented machining error synthesis modeling for five-axis machine tool accuracy design optimization

Mou

et al. 2016

Int J Adv Manuf Technol

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Abstract:Customer-oriented design is very important for machine tool manufacturers to win competition in the market. Mechanical parts with complicated sculptured surface are widely utilized in mechanical systems such as automobiles, aircrafts and wind turbines, and they are often machined by five-axis machine tools with high precision requirements. However traditional machine tool design has not accounted for the varied machining errors in producing complex sculptured surface, which leads to inferior performance. To address this challenge, a novel machining error synthesis model is proposed in this paper for accuracy optimization in designing general five-axis machine tools used for making various sculptured surfaces. The new synthesis model bridges between surface machining profile error and the machine tool accuracy, and it is constructed by integrating a generic machine tool volumetric error model and two new surface machining error production models. The synthesis model is then applied as a constraint in machine tool accuracy design optimization. Also a tolerance-cost function is formulated to construct the objective function, and a meta-heuristic algorithm is developed to implement the optimization. All these modeling and optimization methods are validated by one case study.

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Section: Discussion Of the Optimization Resultsmentioning

confidence: 99%

“…The constraint is in the absolute value, shown as the calculation operator abs. ... (27) where (e ia , e ib )i=1,2….,37 are lower bound and upper bound of every accuracy parameter x ei .…”

Section: Optimization Constraintsmentioning

confidence: 99%

Sculptured surface-oriented machining error synthesis modeling for five-axis machine tool accuracy design optimization

Mou

et al. 2016

Int J Adv Manuf Technol

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“…The following are the types of methods for allocation of component tolerance [9,27]: i. Allocation by proportional scaling, ii. Allocation by Constant precision factor, iii.…”

Section: Tolerance Allocation Methodsmentioning

confidence: 99%

Integrated total cost and Tolerance Optimization with Genetic Algorithm

Kumar¹,

Alagumurthi²

2010

IJCIS

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The tolerance allocation problem has been studied in the literature for decades, usually using mathematical programming (or) heuristic optimization approaches. Elegant tools for minimum cost tolerance allocation have been developed over several decades but still there is no specified tool to find the total cost with respect to machining cost and asymmetric quality loss functions. Objective of this paper is to find the optimized total cost by considering the machining cost and the asymmetric quality loss of an assembly. The non linear multi variable optimization of total cost problem formulated is solved using genetic algorithm. In this work, Piston and cylinder arrangement example was considered for concurrent allocation of design and machining tolerance, as well as to optimize the total cost. The result shows, optimized tolerance will enhances the quality and reduces the total cost

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“…Sivakumar et al [9] and Noorul Haq et al [10,11] introduced evolutionary algorithms to get the optimum tolerance for the mechanical assemblies. Prabhaharan et al [12] introduced the non-traditional approach to find the optimum tolerance and to overcome the traditional tolerance approach. Prabhaharan et al [13] imported a metaheuristic approach as an ant colony algorithm, to simultaneously allocate the tolerance and manufacturing cost.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Tolerance Allocation in a Complex Assembly Using Evolutionary Algorithms

Kumar¹,

Padmanaban²,

Balamurugan³

2016

Int. j. simul. model.

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Tolerance design is a vital factor which influences product and process development. Further, it determines the manufacturing cost, the functionality and quality of a product. It is evident that optimal tolerance normally leads to produce ample parts, better operation of mechanical systems and excellent assembling. In contrast, tight tolerance leads to increase in manufacturing cost for an assembly. An ideal relationship exists among production cost and operation, while determining the optimum tolerance. Based on this relation a new approach by implementing the Non-traditional techniques: Genetic Algorithm (GA), Elitist Non-dominated Sorting Genetic Algorithm (NSGA-II) and Differential Evolution (DE) for determining the optimum tolerance, zero percentage rejection and manufacturing cost considering the varying quality loss constants for an assembly namely overrunning clutch assembly, is discussed in this paper. From the result obtained, it is evident that, the proposed approach is best suitable for solving problems involving complex assemblies.

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Genetic-algorithm-based optimal tolerance allocation using a least-cost model

Cited by 51 publications

References 7 publications

Sculptured surface-oriented machining error synthesis modeling for five-axis machine tool accuracy design optimization

Sculptured surface-oriented machining error synthesis modeling for five-axis machine tool accuracy design optimization

Integrated total cost and Tolerance Optimization with Genetic Algorithm

Optimal Tolerance Allocation in a Complex Assembly Using Evolutionary Algorithms

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