Optimization of turning parameters using ant colony optimization

This project proposed a new optimization technique based on the ant colony algorithm for solving single-pass turning optimization problems. The cutting process has focus on roughing stages. There are enough handbooks to provide recommended cutting parameters and not consider the economic aspects of...

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Main Author: Mohamad Nazri, Semoin
Format: Undergraduates Project Papers
Language:English
Published: 2008
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/751/
http://umpir.ump.edu.my/id/eprint/751/1/Optimization%20of%20turning%20parameters%20using%20ant%20colony%20optimization.pdf
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author Mohamad Nazri, Semoin
author_facet Mohamad Nazri, Semoin
author_sort Mohamad Nazri, Semoin
building UMP Institutional Repository
collection Online Access
description This project proposed a new optimization technique based on the ant colony algorithm for solving single-pass turning optimization problems. The cutting process has focus on roughing stages. There are enough handbooks to provide recommended cutting parameters and not consider the economic aspects of machining. The cost of machining on these machines is sensitive to the machining variable. The project objectives are to develop Ant Colony Optimization (ACO) algorithm for CNC turning process and to optimize turning parameters for minimized production cost per unit. Method used for this project is Ant Colony Optimization. This method consists of many steps will elaborate detail in this thesis. The machining parameters are determined by minimized production cost per unit, subject to various practical machining constraints. The results indicate that the proposed ant colony framework is effective to optimized turning parameter. Lastly, ACO algorithm was successfully optimize depth of cut, cutting speed, feed rate and minimized production cost per unit.
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format Undergraduates Project Papers
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institution Universiti Malaysia Pahang
institution_category Local University
language English
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publishDate 2008
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spelling ump-7512023-10-19T07:34:44Z http://umpir.ump.edu.my/id/eprint/751/ Optimization of turning parameters using ant colony optimization Mohamad Nazri, Semoin QA Mathematics This project proposed a new optimization technique based on the ant colony algorithm for solving single-pass turning optimization problems. The cutting process has focus on roughing stages. There are enough handbooks to provide recommended cutting parameters and not consider the economic aspects of machining. The cost of machining on these machines is sensitive to the machining variable. The project objectives are to develop Ant Colony Optimization (ACO) algorithm for CNC turning process and to optimize turning parameters for minimized production cost per unit. Method used for this project is Ant Colony Optimization. This method consists of many steps will elaborate detail in this thesis. The machining parameters are determined by minimized production cost per unit, subject to various practical machining constraints. The results indicate that the proposed ant colony framework is effective to optimized turning parameter. Lastly, ACO algorithm was successfully optimize depth of cut, cutting speed, feed rate and minimized production cost per unit. 2008-09 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/751/1/Optimization%20of%20turning%20parameters%20using%20ant%20colony%20optimization.pdf Mohamad Nazri, Semoin (2008) Optimization of turning parameters using ant colony optimization. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
spellingShingle QA Mathematics
Mohamad Nazri, Semoin
Optimization of turning parameters using ant colony optimization
title Optimization of turning parameters using ant colony optimization
title_full Optimization of turning parameters using ant colony optimization
title_fullStr Optimization of turning parameters using ant colony optimization
title_full_unstemmed Optimization of turning parameters using ant colony optimization
title_short Optimization of turning parameters using ant colony optimization
title_sort optimization of turning parameters using ant colony optimization
topic QA Mathematics
url http://umpir.ump.edu.my/id/eprint/751/
http://umpir.ump.edu.my/id/eprint/751/1/Optimization%20of%20turning%20parameters%20using%20ant%20colony%20optimization.pdf