Machining fixture locating and clamping position optimization using genetic algorithms pdf

Posted on Monday, March 22, 2021 1:22:16 PM Posted by Imalvenma - 22.03.2021 and pdf, pdf 1 Comments

machining fixture locating and clamping position optimization using genetic algorithms pdf

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Machining fixture locating and clamping position optimization using genetic algorithms

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. DOI: Deformation of the workpiece may cause dimensional problems in machining. Supports and locators are used in order to reduce the error caused by elastic deformation of the workpiece. The optimization of support, locator and clamp locations is a critical problem to minimize the geometric error in workpiece machining. In this paper, the application of genetic algorithms GAs to the fixture layout optimization is presented to handle fixture layout optimization problem.

Fixture plays an important part in constraining excessive sheet metal part deformation at machining, assembly, and measuring stages during the whole manufacturing process. However, it is still a difficult and nontrivial task to design and optimize sheet metal fixture locating layout at present because there is always no direct and explicit expression describing sheet metal fixture locating layout and responding deformation. To that end, an RBF neural network prediction model is proposed in this paper to assist design and optimization of sheet metal fixture locating layout. The RBF neural network model is constructed by training data set selected by uniform sampling and finite element simulation analysis. Finally, a case study is conducted to verify the proposed method.

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Genetic algorithm based deformation control and clamping force optimisation of workpiece fixture system. To cite this article: K. Paulraj Genetic algorithm based deformation control and clamping force optimisation of workpiece fixture system, International Journal of Production Research, , , DOI: Siva Kumara and G. In re-engineering mass production industry, design and production of components are frequently changed according to the customer needs within a very short span of time.

Barichard and J. Bergounioux and -. Bou88, A. Bourdet, and. Clement , A study of optimal-criteria identification based-on the small-displacement screw model , Annals of the CIRP , vol. Romdhane-ben-khalifa, A. Ben-yahia, and.

The purpose of this paper is to propose a general model for locating and clamping workpieces of complex geometry with two skewed holes under multiple constraints. Numerous constraints related to application of the proposed model are discussed as prerequisite to design of fixture solution. Based on theoretical model, a fixture was designed and successfully tested in experimental investigation. Experimental results were also verified using FEM simulations. This study showed that, opposed to conventional approach, novel solution results in significantly smaller fixture dimensions, while providing greater stability. Insertion of mandrels and supports element sub-assemblies into the workpiece holes significantly increases workpiece stiffness through an increased moment of inertia, while the internal support elements largely diminish the problem of thin wall deformation in the workpiece. The fixture designed in this case was actually used in industrial application to accommodate a thin-walled casting of gearbox housing, where it proved to be a very stable framework.


In this paper, the application of genetic algorithms (GAs) to the fixture layout optimization is presented to handle fixture layout optimization problem. A genetic​.


204 3 AN INTEGRATED SYSTEM FOR AUTOMATIC COMPUTER AIDED FIXTURE DESIGN

Fixture layout design is concerned with immobilization of the workpiece engine mount bracket during machining such that the workpiece elastic deformation is reduced. The fixture holds the workpiece through the positioning of fixturing elements that causes the workpiece elastic deformation, in turn, leads to the form and dimensional errors and increased machining cost. The fixture layout has the major impact on the machining accuracy and is the function of the fixturing position.

Design and optimization of machining fixture layout using ANN and DOE

Fathianathan, M. April 2, September ; 7 3 : —

1. Introduction

There is a wide range of machine tools capable of performing this operation for all variety of metal projects, many of which are easily and conveniently availe from used industrial machinery auctions. Basic Rules for Locating Jig and Fixture. Meaning of Jig: Jig may be described as a plate, or metal box, Tennon strips should be provided for accurate and quick location of the fixture on the machine bed. Milling fixtures should be provided with a setting piece so that a feeler gauge may be used for setting the fixture relative to the

Machining fixture locating and clamping position optimization using genetic algorithms

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  • Request PDF | Machining fixture locating and clamping position optimization using genetic algorithms | Deformation of the workpiece may. Tiomurcoda1987 - 27.03.2021 at 15:59

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