GA-PASO based optimization for pin type fixture in free from geometry machining /

This dissertation presents the method of optimization of pin type fixture configuration for holding a free form workpiece during machining process. The hybrid optimization algorithm is manipulated to obtain the optimum configuration of pin type fixture. Combination between Genetic Algorithm (GAs) an...

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Bibliographic Details
Main Author: Ahmad Nukhaie Bin Berahim
Format: Thesis
Language:English
Published: Kuala Lumpur: Kulliyyah of Engineering, International Islamic University Malaysia, 2011
Subjects:
Online Access:Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library.
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040 |a UIAM  |b eng 
041 |a eng 
043 |a a-my--- 
050 |a TJ1187 
100 1 |a Ahmad Nukhaie Bin Berahim  |9 353809 
245 1 |a GA-PASO based optimization for pin type fixture in free from geometry machining /  |c by Ahmad Nukhaie bin Berahim 
260 |a Kuala Lumpur:   |b Kulliyyah of Engineering, International Islamic University Malaysia,   |c 2011 
300 |a xiv, 78 leaves:  |b ill. ;  |c 30cm. 
336 |2 rdacontent 
337 |2 rdamedia 
338 |2 rdacarrier 
500 |a Abstract in English and Arabic. 
500 |a "A dissertation submitted in fulfilment of the requirement for the degree of Master of Science in Manufacturing."--On t.p. 
502 |a Thesis (MSMFG)--International Islamic University Malaysia, 2011. 
504 |a Includes bibliographical references (leaves 69-70). 
520 |a This dissertation presents the method of optimization of pin type fixture configuration for holding a free form workpiece during machining process. The hybrid optimization algorithm is manipulated to obtain the optimum configuration of pin type fixture. Combination between Genetic Algorithm (GAs) and Particle Swarm Optimization (PSO) algorithm has been enabled to determine optimum clamping respect to minimum workpiece deformation. Spherical type pin type fixture is used to increase the ability to conform to free from geometry. An array of these pins on two sides of the workpiece in opposite direction will enable fixturing action with two supporting action. Deformations that may result from clamping force and friction slip are predicted by simulation of pin-workpiece clamping model and analyzed by Finite Element methods. Maximum deformation and slip condition are evaluated by building the parametric script of the model. Parameters of the model are assigned by the algorithm through iteration process. Satisfied clamping arrangement to minimize the deformation and prevent the slip is evaluated using GAs to arrange pin configuration. PSO is further applied based on the result of GAs for obtaining global optimum of objective function. Utilizing LabView to interface between DAQ and the fixture has enabled automatic clamping of the fixture. Data format of pin configuration is translated into actual clamping of pins proven by pin activation linked with solenoid valve. The capability of actuating the pin for automatic operation has been tested by changing several configurations of pins. 
650 |a Jigs and fixtures   |9 353810 
650 |a Genetic algorithms   |9 353811 
650 |a Swarm intelligence  |9 156712 
655 7 |a Theses, IIUM local 
690 |a Dissertations, Academic  |x Department of Manufacturing and Material  |z IIUM  |9 353813 
710 2 |a International Islamic University Malaysia.  |b Department of Manufacturing and Material  |9 353815 
856 4 |u http://studentrepo.iium.edu.my/handle/123456789/4836  |z Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. 
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