Cover Image

Taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters

International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) organized by School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 27th - 28th Februari 2012 at Bayview Beach Resort, Penang, Malaysia.

Saved in:
Bibliographic Details
Main Authors: Arshad, Noor Siddiquee, S. F. Khan, Ghulam, Abdul Quadir, Zahid A. Khan, Pankul, Goel, Shahrul, Kamaruddin
Other Authors: arshadnsiddiqui@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2012
Subjects:
Slab milling
Surface roughness
Material removal rate
Grey relational grade
Multi-performance
Optimization
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/19503
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-19503
record_format dspace
spelling my.unimap-195032012-05-31T14:02:52Z Taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters Arshad, Noor Siddiquee S. F. Khan Ghulam, Abdul Quadir Zahid A. Khan Pankul, Goel Shahrul, Kamaruddin arshadnsiddiqui@gmail.com shahfener@unimap.edu.my gaquadir@unimap.edu.my zakhanusm@yahoo.com pankul_goel@rediffmail.com meshah@eng.usm.my Slab milling Surface roughness Material removal rate Grey relational grade Multi-performance Optimization International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) organized by School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 27th - 28th Februari 2012 at Bayview Beach Resort, Penang, Malaysia. Taguchi based grey relational analysis is used to optimize multi-performance characteristic of CNC slab milling process parameters for machining ASTM A572 grade 50 high strength low alloy (HSLA) steel plates. Four process parameters i.e. cutting fluid, cutting speed, feed and depth of cut each at three levels except the cutting fluid at two levels were considered. Experiments were conducted as per L18 orthogonal array of Taguchi method. The surface roughness (SR) and material removal rate (MRR) were considered as the multi-performance characteristics. Grey relational analysis was used to determine grey relational grade which indicated the multi-performance characteristics of the process. Subsequently, Taguchi response table method and ANOVA were used for data analysis. Confirmation test was conducted to ensure validity of the test result. Results revealed that combination of factors and their levels A1B2C3D3 i.e. the machining done in the absence of cutting fluid, at a cutting speed of 2300 r.p.m. with a feed of 300 mm/min. and depth of cut of 0.23 mm yielded the optimum multi-performance characteristics of the slab milling process. Further, the results of ANOVA indicated that all four machining significantly affected the multi-performance with maximum contribution from feed (30.68%) followed by depth of cut (25.93%), cutting fluid (20.13%) and cutting speed (10.58%). It is also observed that the multi performance characteristics of slab milling process can be improved effectively through this approach. 2012-05-31T14:02:52Z 2012-05-31T14:02:52Z 2012-02-27 Working Paper http://hdl.handle.net/123456789/19503 en Proceedings of the International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) Universiti Malaysia Perlis (UniMAP) Pusat Pengajian Kejuruteraan Mekatronik
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Slab milling
Surface roughness
Material removal rate
Grey relational grade
Multi-performance
Optimization
spellingShingle Slab milling
Surface roughness
Material removal rate
Grey relational grade
Multi-performance
Optimization
Arshad, Noor Siddiquee
S. F. Khan
Ghulam, Abdul Quadir
Zahid A. Khan
Pankul, Goel
Shahrul, Kamaruddin
Taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters
description International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012) organized by School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 27th - 28th Februari 2012 at Bayview Beach Resort, Penang, Malaysia.
author2 arshadnsiddiqui@gmail.com
author_facet arshadnsiddiqui@gmail.com
Arshad, Noor Siddiquee
S. F. Khan
Ghulam, Abdul Quadir
Zahid A. Khan
Pankul, Goel
Shahrul, Kamaruddin
format Working Paper
author Arshad, Noor Siddiquee
S. F. Khan
Ghulam, Abdul Quadir
Zahid A. Khan
Pankul, Goel
Shahrul, Kamaruddin
author_sort Arshad, Noor Siddiquee
title Taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters
title_short Taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters
title_full Taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters
title_fullStr Taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters
title_full_unstemmed Taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters
title_sort taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/19503
_version_ 1643792815090565120
score 13.222552

Similar Items