Machining fixture locating and clamping position optimization using genetic algorithms pdf

Posted on Sunday, May 9, 2021 10:37:37 PM Posted by Taylor H. - 10.05.2021 and pdf, book pdf 5 Comments

machining fixture locating and clamping position optimization using genetic algorithms pdf

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Fixture layout design is concerned with immobilization of the workpiece engine mount bracket during machining such that the workpiece elastic deformation is reduced.

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.

Engine-bracket drilling fixture layout optimization for minimizing the workpiece deformation

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. The position of the fixturing elements, key aspects, needed to be optimized to reduce the workpiece elastic deformation. The purpose of this study is to evaluate the optimized fixture layout for the machining of the engine mount bracket.

In this research work, using the finite element method FEM , a model is developed in the MATLAB for the fixture-workpiece system so that the workpiece elastic deformation is determined.

The artificial neural network ANN is used to develop an empirical model. The results of deformation obtained for different fixture layouts from FEM are used to train the ANN and finally the empirical model is developed. The model capable of predicting the deformation is embedded to the evolutionary optimization techniques, capable of finding local and global optima, to optimize the fixture layouts and to find the robust one.

For efficient optimization of the fixture layout parameters to obtain the least possible deformation, ant colony algorithm ACA and artificial bee colony algorithm ABCA are used and the results of deformation obtained from both the optimization techniques are compared for the best results. This difficulty is reduced in this research. So that the MATLAB-based FEM modeling, simulation and optimization is carried out to determine the solutions for the optimized fixture layout to reach least deformation.

To sort out the difficulties the computer-based automated solution techniques are highly required. Such kind of research over this study is presented for the readers. ANN-based empirical model is developed for the fixture layout deformation that creates a hypothesis for the fixture layout system. ACA and ABCA are used for optimizing the fixture layout parameters and are compared for the best algorithm suited for the fixture layout system.

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You can also find out more about Emerald Engage. Visit emeraldpublishing. Answers to the most commonly asked questions here. Abstract Purpose Fixture layout design is concerned with immobilization of the workpiece engine mount bracket during machining such that the workpiece elastic deformation is reduced.

Findings For efficient optimization of the fixture layout parameters to obtain the least possible deformation, ant colony algorithm ACA and artificial bee colony algorithm ABCA are used and the results of deformation obtained from both the optimization techniques are compared for the best results. Please note you do not have access to teaching notes.

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An automated flexible fixture system for mass customisation. Illidge; G. The need for mass customisation is growing as customer demand for customised products increases. Mass customisation is the production of custom products at mass-produced rates. Current fixture technology does not possess the flexibility required for mass customisation. It was determined, through research, that if mass customisation is to be achieved, a fixture system is required that possesses the following attributes: it accommodates a large variety of part families and geometries; it has automated setups and setup changeovers; it has a semi-automated fixture design; and it provides adaptive feedback during machining processes. A fixture system, known as an automated flexible fixture system AFFS , was developed that met these requirements.

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​.


Locating Element For Milling Machine

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.

Machining fixture locating and clamping position optimization using genetic algorithms

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Fathianathan, M. April 2, September ; 7 3 : — Integrated product and process design involves a dynamic environment where various design changes are made when the requirements of the different domains are not sufficiently met. Dealing with changes is a tedious and cumbersome process.

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COMMENT 5

  • Barichard and J. Edilma O. - 11.05.2021 at 14:08
  • Request PDF | Machining fixture locating and clamping position optimization using genetic algorithms | Deformation of the workpiece may. Zara L. - 11.05.2021 at 16:06
  • Fixture plays an important part in constraining excessive sheet metal part deformation at machining, assembly, and measuring stages during the whole manufacturing process. Atanasio A. - 14.05.2021 at 04:11
  • In machining fixtures, minimizing workpiece deformation due to clamping and cutting forces is essential to maintain the machining accuracy. Hartman V. - 15.05.2021 at 12:48
  • String programs in c for interview pdf a three component conceptualization of organizational commitment pdf Smichonknarmast - 18.05.2021 at 04:36

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