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Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties

This paper presents the application of artificial immune system (AIS) intelligent algorithm for multiple output optimization of two passes dry CNC turning operation. In this work, a mild steel work piece type (A36) and tungsten carbide insert cutting tool type (SPG4220) use for theoretical calculati...

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Main Authors: Jameel Abbas, Adnan, Minhat, Mohamad, Abd. Rahman, Md. Nizam
Format: Conference or Workshop Item
Language:English
Published: 2013
Subjects:
TS Manufactures
TJ Mechanical engineering and machinery
Online Access:http://eprints.utem.edu.my/id/eprint/10927/1/Improvement_Performance_Characteristics_of_CNC_ICMSCE_2013.docx
http://eprints.utem.edu.my/id/eprint/10927/
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spelling my.utem.eprints.109272015-05-28T04:14:17Z http://eprints.utem.edu.my/id/eprint/10927/ Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties Jameel Abbas, Adnan Minhat, Mohamad Abd. Rahman, Md. Nizam TS Manufactures TJ Mechanical engineering and machinery This paper presents the application of artificial immune system (AIS) intelligent algorithm for multiple output optimization of two passes dry CNC turning operation. In this work, a mild steel work piece type (A36) and tungsten carbide insert cutting tool type (SPG4220) use for theoretical calculations. Three types of objective functions are utilized as optimization criteria, the first one estimate the chip-tool interface temperature where the heat is generated due to rubbing or shearing between the chip and cutting tool rake face. The second and third objective functions calculate the work piece surface roughness and operation cutting time respectively. Optimum values of machining parameters (cutting speed, feed rate and depth of cut) are calculated by AIS algorithm to achieve the requirements of ideal chip- tool interface temperature, work piece surface roughness and operating cutting time. The ideal values (4.9 mm depth of cut, 1.3 mm /rev feed rate and 79 m / min cutting force) accomplished an ideal performance of (132 Cо cutting temperature, 0.0005µm surface roughness and 0.45 S cutting time). The results illustrate that the feed rate has a huge affect on cutting time and surface roughness and the cutting speed largely affects on the cutting time while the depth of cut is more affect on the surface roughness 2013-12-05 Conference or Workshop Item PeerReviewed application/msword en http://eprints.utem.edu.my/id/eprint/10927/1/Improvement_Performance_Characteristics_of_CNC_ICMSCE_2013.docx Jameel Abbas, Adnan and Minhat, Mohamad and Abd. Rahman, Md. Nizam (2013) Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties. In: 2nd International Conference on Computer Engineering and Mathematical Sciences (ICCEMS2013), 5-6 December 2013, Kuala Lumpur, Malaysia.
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TS Manufactures
TJ Mechanical engineering and machinery
spellingShingle TS Manufactures
TJ Mechanical engineering and machinery
Jameel Abbas, Adnan
Minhat, Mohamad
Abd. Rahman, Md. Nizam
Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties
description This paper presents the application of artificial immune system (AIS) intelligent algorithm for multiple output optimization of two passes dry CNC turning operation. In this work, a mild steel work piece type (A36) and tungsten carbide insert cutting tool type (SPG4220) use for theoretical calculations. Three types of objective functions are utilized as optimization criteria, the first one estimate the chip-tool interface temperature where the heat is generated due to rubbing or shearing between the chip and cutting tool rake face. The second and third objective functions calculate the work piece surface roughness and operation cutting time respectively. Optimum values of machining parameters (cutting speed, feed rate and depth of cut) are calculated by AIS algorithm to achieve the requirements of ideal chip- tool interface temperature, work piece surface roughness and operating cutting time. The ideal values (4.9 mm depth of cut, 1.3 mm /rev feed rate and 79 m / min cutting force) accomplished an ideal performance of (132 Cо cutting temperature, 0.0005µm surface roughness and 0.45 S cutting time). The results illustrate that the feed rate has a huge affect on cutting time and surface roughness and the cutting speed largely affects on the cutting time while the depth of cut is more affect on the surface roughness
format Conference or Workshop Item
author Jameel Abbas, Adnan
Minhat, Mohamad
Abd. Rahman, Md. Nizam
author_facet Jameel Abbas, Adnan
Minhat, Mohamad
Abd. Rahman, Md. Nizam
author_sort Jameel Abbas, Adnan
title Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties
title_short Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties
title_full Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties
title_fullStr Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties
title_full_unstemmed Improvement Performance Characteristics of CNC Turning Operation by Exploit Immune System's Properties
title_sort improvement performance characteristics of cnc turning operation by exploit immune system's properties
publishDate 2013
url http://eprints.utem.edu.my/id/eprint/10927/1/Improvement_Performance_Characteristics_of_CNC_ICMSCE_2013.docx
http://eprints.utem.edu.my/id/eprint/10927/
_version_ 1665905440848871424
score 13.211869

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