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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/19503

Title: Taguchi based grey relational analysis for multi-performance optimization of slab milling process parameters
Authors: Arshad, Noor Siddiquee
S. F. Khan
Ghulam, Abdul Quadir
Zahid A. Khan
Pankul, Goel
Shahrul, Kamaruddin
???metadata.dc.contributor.url???: arshadnsiddiqui@gmail.com
shahfener@unimap.edu.my
gaquadir@unimap.edu.my
zakhanusm@yahoo.com
pankul_goel@rediffmail.com
meshah@eng.usm.my
Keywords: Slab milling;Surface roughness;Material removal rate;Grey relational grade;Multi-performance;Optimization
Issue Date: 27-Feb-2012
Publisher: Universiti Malaysia Perlis (UniMAP)
???metadata.dc.publisher.department???: Pusat Pengajian Kejuruteraan Mekatronik
Series/Report no.: Proceedings of the International Conference on Applications and Design in Mechanical Engineering 2012 (ICADME 2012)
Abstract: 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.
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.
URI: http://hdl.handle.net/123456789/19503
Appears in Collections:Shah Fenner Khan Mohamad Khan
Ghulam Abdul Quadir, Prof. Dr.
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