A multi-objective optimization and decision algorithm for locator layout continuous searching in checking fixture design

Jiang, Kun; Zhou, Xionghui; Li, Ming; Kong, Xiao Li

doi:10.1007/s00170-012-4489-1

Cited by 13 publications

(7 citation statements)

References 25 publications

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“…Following the analysis of Jiang et al., 9 it is assumed that the workpiece is located according to the 3-2-1 principle by a checking fixture. We have three locators on the surface I, i.e.…”

Section: Fixture Layout Design Modelmentioning

confidence: 99%

“…Based on genetic algorithm and finite element, Ni 8 presented a multi-objective optimization method to reduce machining deformation for thin workpiece. Jiang 9 described an optimization method that optimized both locating accuracy and stability at the same time. Based on the Nondominated sorting genetic algorithm-II (NSGA-II), a decision algorithm for continuous searching is presented.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Memetic Algorithm for multi-objective fixture layout optimization

Bai

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part C:

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A proper scheme of fixture layout can reduce locating errors of a workpiece. However, a multi-objective fixture layout optimization, involving multiple conflicting objective functions, will lead to much more accurate solution and complex computation. This paper describes a new approach based on Memetic Algorithm (MA) to multi-objective fixture layout optimization, considering both location accuracy and stability. This approach uses an entropy method to obtain the weights of each objective functions, and establishes a fitness function. Then, a MA is developed to properly select the positions of locators to minimize the fitness function. An example illustrates that the new optimization method based on MA can improve the locating precision of a workpiece effectively and efficiently. This method is also suitable for solving a multi-objective fixture layout optimization problem with more objective functions.

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“…Following the analysis of Jiang et al., 9 it is assumed that the workpiece is located according to the 3-2-1 principle by a checking fixture. We have three locators on the surface I, i.e.…”

Section: Fixture Layout Design Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Memetic Algorithm for multi-objective fixture layout optimization

Bai

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part C:

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show abstract

“…The maximum deformation of the workpiece (the position to which the supporting element should be applied) was obtained by ignoring the friction between the workpiece and locators. Jiang et al [14] proposed a multi-objective optimization method to design locating system for a workpiece in a checking xture. The main aim of the proposed model was to simultaneously maximize the workpiece locating accuracy, maintain the stability of the workpiece in the xture, and quick and easy loading/unloading of the workpiece into/from the xture.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Reaction Forces in Fixture Locating Points: An Analytical, Numerical, and Experimental Study

Parvaz

Hosseini²

2022

Preprint

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Reaction forces are one of the key parameters in the fixture design procedure. They are generated at the fixture locating points by application of the clamping forces and machining loads. They are used as input values in several stages of the fixture design procedure. In this paper, an analytical model has been developed based on the minimum norm principle to calculate these forces at the fixture locating points. Numerical simulations and experimental tests have been performed on a 3D polyhedral workpiece to validate the theoretical predictions. The simulations have been performed using Abaqus® software and experimental tests have been conducted using an experimental setup consisting of a fixture and a 3D polyhedral workpiece. An appropriate agreement was observed between the theoretical, numerical, and experimental results for the normal component of reaction forces. The maximum errors of 3.9% and 15% were observed between the theoretical predictions compared to the numerical and experimental results, respectively. The effects of the influential parameters, including coefficient of friction and clamping force, were also studied on the results. The agreement between the theoretical, numerical, and experimental results indicated the efficiency of the proposed model in the rapid calculation of reaction forces in fixturing 3D polyhedral workpieces.

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“…This fact has driven the organizations to design their assembly systems with higher precision to manufacture products with greater dimensional integrity. Fixture failures are recognized as the major contributor (approximately 72 percent) among all root causes of dimensional variation in an assembled product [1][2][3]. In the multi-station assembly (MSA) process, operations involve unification of two or more than two panels/sub-assemblies at more than one workstation.…”

Section: Introductionmentioning

confidence: 99%