Optimal Tolerance Allocation Based on Fuzzy Comprehensive Evaluation and Genetic Algorithm

Ji, Shuai; Li, X.; Ma, Yongkui; Cai, Hansheng

doi:10.1007/s001700070053

Cited by 78 publications

(42 citation statements)

References 14 publications

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“…A number of trials have been carried out for the two different cases outlined in Table 4 for different numbers, from 7 bits to 21 bits, for all the objective functions mentioned in Table 8. For demonstration purposes, Table 9 shows the outcome of the objective function of minimizing the manufacturing cost for different bit numbers (7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20)(21). For case 1, the best results are obtained in the bit numbers between 11 and 14.…”

Section: Resultsmentioning

confidence: 99%

“…Ji et al [15] presented a new approach based on the fuzzy comprehensive evaluation and a genetic algorithm to obtain a rational tolerance allocation for the parts. Prabhaharan et al [16] applied GA for optimal tolerance allocation to help design and manufacturing engineers overcome the shortcomings in the conventional tolerance stack analysis and allocation system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Multi-objective optimization for optimum tolerance synthesis with process and machine selection using a genetic algorithm

Geetha¹,

Ravindran²,

Kumar³

et al. 2012

Int J Adv Manuf Technol

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This paper presents a new approach to the tolerance synthesis of the component parts of assemblies by simultaneously optimizing three manufacturing parameters: manufacturing cost, including tolerance cost and quality loss cost; machining time; and machine overhead/idle time cost. A methodology has been developed using the Genetic Algorithm (GA) technique to solve this multiobjective optimization problem. The effectiveness of the proposed methodology has been demonstrated by solving a wheel mounting assembly problem consisting of five components, two subassemblies, two critical dimensions, two functional tolerances, and eight operations. Significant cost saving can be achieved by employing this methodology.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization for optimum tolerance synthesis with process and machine selection using a genetic algorithm

Geetha¹,

Ravindran²,

Kumar³

et al. 2012

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…Coello et al developed new technique that combines GA and the weighted min-max multi-objective optimization method for robot design [18]. Zhuang et al applied GA to select the optimal robot measurement configurations, which is an important element in robot calibration [19] while Ji S. et al [20], [21] and Chen T-C and Fischer G. W. [22] applied the GA to the tolerance allocation problem. Later Zhang.…”

Section: Literature Reviewmentioning

confidence: 99%

Tolerance Design of Robot Parameters Using Generalized Reduced Gradient Algorithm

Trung¹,

Li²,

Long³

2017

IJMMM

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Abstract-In robot design, how to allocate tolerances for parts in manufacturing and assembling of robot is very important because this directly affects product quality and manufacturing cost. This paper introduces a technique using the Generalized Reduced Gradient algorithm optimization to allocate tolerances into robot parts. This method consists of three steps. First, based on the particular structure of robot, various methods are considered before the best method suitable for modeling the associated equation is chosen. Then, a mathematical model for tolerance allocation is formulated and transferred into the non-linear multi-variable optimization problem. Finally, this optimization problem is solved by using the Generalized Reduced Gradient algorithm. Two examples are used to verify the feasibility of the proposed method; the accuracy and effectiveness of the proposed method in producing the tolerance allocations is also illustrated via calculation and simulation results.

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“…Mathematical models of fuzzy comprehensive evaluation [19][20] can be divided into first grade model and multilevel model, in this paper multilevel model is adopted. The steps of mathematical models adopting multilevel model is shown as below:…”

Section: Fuzzy Comprehensive Evaluationmentioning

confidence: 99%

Comprehensive Benefit Evaluation based on Interaction of Micro Grid and Distribution Network

Zhu¹,

Yuan²,

Liu³

2016

IJGDC

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Interaction between micro grid and distribution network plays an important role in improving absorptive capacity of new energy, increasing utilization ratio of distribution network assets and promoting the safe, economy, environmental operation of power system. This paper mainly researched comprehensive benefit of different interaction models of micro grid and distribution network, firstly, classic interaction ways were studied, index system of comprehensive benefit was determined, then index weight was determined by analytic hierarchy process(AHP), at last, comprehensive benefit of different interaction models were analyzed according to fuzzy comprehensive evaluation, which could offer decision-making for interaction of micro grid and distribution network.

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Optimal Tolerance Allocation Based on Fuzzy Comprehensive Evaluation and Genetic Algorithm

Abstract: It is very important to know how to allocate tolerances economically for parts in a CAD

Cited by 78 publications

References 14 publications

Multi-objective optimization for optimum tolerance synthesis with process and machine selection using a genetic algorithm

Multi-objective optimization for optimum tolerance synthesis with process and machine selection using a genetic algorithm

Tolerance Design of Robot Parameters Using Generalized Reduced Gradient Algorithm

Comprehensive Benefit Evaluation based on Interaction of Micro Grid and Distribution Network

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