machining fixture locating and clamping position optimization using genetic algorithms pdf Friday, May 14, 2021 7:22:46 PM

Machining Fixture Locating And Clamping Position Optimization Using Genetic Algorithms Pdf

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Published: 14.05.2021

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

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. To deal with design changes automatically, this paper presents the development of an adaptive fixture design system based on an evolutionary search algorithm.

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.

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. Sheet metal part is widely used in aviation industry and automotive industry due to its high strength and light weight [ 1 ]. However, sheet metal part always tends to deform at machining, assembly, and measuring stages during the whole manufacturing process because of its properties of thin wall, large size, and low rigidity.

Machining fixture locating and clamping position optimization using genetic algorithms

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. This leads to rising difficulty in maintaining the accuracy of every finished component.


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


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

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.

In machining fixtures, minimizing workpiece deformation due to clamping and cutting forces is essential to maintain the machining accuracy. This can be achieved by selecting the optimal location of fixturing elements such as locators and clamps. Many researches in the past decades described more efficient algorithms for fixture layout optimization. In this paper, artificial neural networks ANN -based algorithm with design of experiments DOE is proposed to design an optimum fixture layout in order to reduce the maximum elastic deformation of the workpiece caused by the clamping and machining forces acting on the workpiece while machining.

Barichard and J.

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Design and optimization of machining fixture layout using ANN and DOE

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Такой поиск, по существу, представляет собой команду компьютеру просмотреть все строки знаков на жестком диске, сравнить их с данными громадного по объему словаря и пометить те из них, которые кажутся бессмысленными или произвольными. Это сложнейшая работа, заключающаяся в постоянном отсеивании лишнего, но она вполне выполнима. Сьюзан понимала, что, по всей логике, именно ей предстояло решить эту задачу.

Multiobjective Optimization for Fixture Locating Layout of Sheet Metal Part Using SVR and NSGA-II

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3 Comments

Huapi R. 20.05.2021 at 01:59

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.

Ciara G. 23.05.2021 at 09:19

Request PDF | Machining fixture locating and clamping position optimization using genetic algorithms | Deformation of the workpiece may.

Exnapermo 24.05.2021 at 07:36

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

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