Concurrent tolerance design for manufacture and assembly with a game theoretic approach

Lu, Cong; Zhao, Wanhua; Yu, Sijia

doi:10.1007/s00170-011-3783-7

Cited by 22 publications

(16 citation statements)

References 14 publications

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“…With case studies, it is verified that the proposed selective assembly approach can be more effective to improve the assembly success rate and reduce the surplus parts for the product with single or multiple dimension chains, and with the proposed grouping method, the selective assembly process can be carried out more conveniently. 3,5,9,9,7,10,5,6,10,1,7,6,11,9,5,7,7,11,7,8,7,5,10,4,11,2,2,11,6,11,3,8,10,5,4,4,4,4,11,10,8,8,6,4 Figure 6. Evolution performance of the algorithm for the piston and cylinder assembly.…”

Section: Resultsmentioning

confidence: 97%

“…Considering all the characteristics of the assembly, the following are the three possible combinations affecting the assembly clearance: And the allowable ranges of clearances C 1 -C 3 are given as (4,35), (196,206), and (2,12), respectively. All the three possible dimension chains, which results in the variation in clearances C1-C3 in the assembly, are considered in selective assembly.…”

Section: Selective Assembly For the Product With Multiple Dimension Cmentioning

confidence: 99%

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An approach to minimizing surplus parts in selective assembly with genetic algorithm

Fei

2014

Proceedings of the Institution of Mechanical Engineers, Part B:

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This article proposes an approach to minimize the surplus parts in selective assembly with genetic algorithm. A grouping method is proposed considering the different tolerance ranges of parts, and the effect of part group assignment on assembly success rate is investigated. Based on the grouping method, a genetic algorithm with a specially designed twodimensional chromosome structure is proposed to minimize surplus parts, and the fitness function of the solution and the constraints to be satisfied in the evolution process are investigated. The proposed selective assembly approach with the corresponding grouping method is further improved for the product assembly with multiple dimension chains. Through case studies, it is verified that the proposed approach is more competitive to improve the product assembly success rate and reduce the surplus parts.

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Section: Resultsmentioning

confidence: 97%

Section: Selective Assembly For the Product With Multiple Dimension Cmentioning

confidence: 99%

An approach to minimizing surplus parts in selective assembly with genetic algorithm

Fei

2014

Proceedings of the Institution of Mechanical Engineers, Part B:

Self Cite

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“…In DFM, it is important to consider the performance of products together with their manufacturing costs and manufacturability. However, conventional DFM typically focuses on a simple method for evaluating manufacturing costs [2,5,6] via, for example, simplification and standardization of design and manufacturing processes [7], although the lowering of performances due to such simplification has recently been considered in some research [8,9]. Research on DFM methods for improving product designs while ensuring their performance is relatively scarce, and reliance on design engineers' expertise to achieve product design improvements that also maintain or improve performance is still the norm.…”

Section: Introductionmentioning

confidence: 99%

Manufacturability evaluation for molded parts using fictitious physical models, and its application in topology optimization

Sato

Yamada

Izui

et al. 2017

Int J Adv Manuf Technol

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Manufacturing methods using molds, such as casting and injection molding, are widely used in industries. A basic requirement when using such manufacturing methods is that design engineers must design products so that they incorporate certain geometrical features that allow the mold parts to be removed from the created solid object. In the present study, we propose a manufacturability evaluation method especially adapted for the use of molds. To evaluate the manufacturability, we introduce fictitious physical models that are described by steady-state anisotropic advectiondiffusion equations. In these fictitious physical models, material domains have a virtual source term and the advection directions are aligned with the directions along which the mold parts are parted. Void regions, where the values of all fictitious physical fields are high, then represent either undercut geometries that would prevent the mold from being released, or interior voids that cannot be cast. Consequently, manufacturability can be evaluated using these fictitious physical fields. Furthermore, in the present study, we integrate this evaluation method with topology optimization and propose a scheme for imposing a molding constraint within the topology optimization procedure. This newly proposed topology optimization method can consider the position of mold parting lines prior to the detailed optimization procedure. Several numerical examples are provided to demonstrate the validity and effectiveness of the proposed method.

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“…For reducing product manufacturing cost, the tolerance optimization models were established by various manufacturing cost-tolerance relationships to optimize the tolerance allocation of the composition rings in assembly [2][3][4][5], which involved minimization of the assembly manufacturing cost as the objective function, and tolerance stack-up conditions as the constraints. Taguchi and Wu [6] defined quality as the loss that a product imparts to society from the time the product was shipped, other than losses caused by its intrinsic functions.…”

Section: Introductionmentioning

confidence: 99%

Optimal tolerance design of product based on service quality loss

Zhao

Liu

Wen

2015

Int J Adv Manuf Technol

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Design tolerance has tremendous influence on both manufacturing cost and quality of a product. The purpose of the paper is to propose a new way of the product optimal tolerance design based on service quality, which is more realistic because the service quality loss model describes the present worth model of quality loss based on the service life distribution, and expresses an actual loss that a product imparts on society after the product is put into service by considering the parts processing equipment during product manufacturing process, operating environment, and lubrication condition during product service. However, many scholars consider manufacturing cost and quality loss for the optimal tolerance design of product at present, in which uses Taguchi quality loss model or Teran quality loss model. The former reflects the forecast of a loss that a product may bring to the society on the time node before it leaves the factory. Although the latter involves the changes of the product quality characteristics after the product is put into service, but its essence is to transform the product quality loss in a certain service life into the present worth on the time node before the product is put into service, and it is still the forecast of a loss for the society, and has many shortages that it takes quality loss cost as cash flow and service life as a certain value. So the proposed way can extend the product tolerance design from the manufacturing stage to the service stage, and enriches the theory of the product optimal tolerance design.

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Concurrent tolerance design for manufacture and assembly with a game theoretic approach

Cited by 22 publications

References 14 publications

An approach to minimizing surplus parts in selective assembly with genetic algorithm

An approach to minimizing surplus parts in selective assembly with genetic algorithm

Manufacturability evaluation for molded parts using fictitious physical models, and its application in topology optimization

Optimal tolerance design of product based on service quality loss

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