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...
Main Author: | |
---|---|
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/ http://umpir.ump.edu.my/id/eprint/751/1/MOHAMAD_NAZRI_BIN_SEMOIN..pdf |
id |
ump-751 |
---|---|
recordtype |
eprints |
spelling |
ump-7512015-03-03T07:46:41Z 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 application/pdf en http://umpir.ump.edu.my/id/eprint/751/1/MOHAMAD_NAZRI_BIN_SEMOIN..pdf Mohamad Nazri, Semoin (2008) Optimization of turning parameters using ant colony optimization. Faculty of Mechanical Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:43011&theme=UMP2 |
repository_type |
Digital Repository |
institution_category |
Local University |
institution |
Universiti Malaysia Pahang |
building |
UMP Institutional Repository |
collection |
Online Access |
language |
English |
topic |
QA Mathematics |
spellingShingle |
QA Mathematics Mohamad Nazri, Semoin Optimization of turning parameters using ant colony optimization |
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. |
format |
Undergraduates Project Papers |
author |
Mohamad Nazri, Semoin |
author_facet |
Mohamad Nazri, Semoin |
author_sort |
Mohamad Nazri, Semoin |
title |
Optimization of turning parameters using ant colony optimization |
title_short |
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_sort |
optimization of turning parameters using ant colony optimization |
publishDate |
2008 |
url |
http://umpir.ump.edu.my/id/eprint/751/ http://umpir.ump.edu.my/id/eprint/751/ http://umpir.ump.edu.my/id/eprint/751/1/MOHAMAD_NAZRI_BIN_SEMOIN..pdf |
first_indexed |
2023-09-18T21:53:15Z |
last_indexed |
2023-09-18T21:53:15Z |
_version_ |
1777413910410821632 |