NDLI: Influence of slab milling process parameters on surface integrity of HSLA: a multi-performance characteristics optimization

Content Provider	Springer Nature Link
Author	Goel, Pankul Khan, Zahid A. Siddiquee, Arshad or Kamaruddin, Shahrul Gupta, Rajeev Kumar
Copyright Year	2011
Abstract	An attempt has been made in this paper to determine the optimal setting of slab milling process parameters. 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. The multi-performance characteristics of the process were measured in terms of surface integrity defined by surface roughness, surface strain and micro-hardness of the work-piece. Eighteen experiments, as per Taguchi’s L18 orthogonal array, were performed on high-strength low-alloy steel. Grey relational analysis, being a widely used technique for multi-performance optimization, was used to determine Grey relational grade. Subsequently, Taguchi response table method and ANOVA were used for data analysis. Confirmation experiment was conducted to determine the improvement in the surface integrity using this approach. Results revealed that machining done in the presence of cutting fluid, at a cutting speed of 1,800 r.p.m. with a feed of 150 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 parameters significantly affected the multi-performance with maximum contribution from depth-of-cut (33.76%) followed by feed (24.02%), cutting speed (16.29%) and cutting fluid (13.21%).
Starting Page	859
Ending Page	871
Page Count	13
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	61
Issue Number	9-12
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-11-22
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Slab milling Surface integrity Grey relational grade Multi-performance Optimization Production/Logistics/Supply Chain Industrial and Production Engineering Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Determination of optimum parameters for multi-performance characteristics in turning by using grey relational analysis

Optimization of process parameters for surface roughness and microhardness in dry milling of magnesium alloy using Taguchi with grey relational analysis

Design optimization of cutting parameters for side milling operations with multiple performance characteristics

Multi-objective optimization of multi-pass face milling using particle swarm intelligence

Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis

Multi-criteria end milling parameters optimization of AISI D2 steel using genetic algorithm

Optimization of surface roughness in end milling Castamide

Multi-objective optimization of surface roughness and cutting forces in high-speed turning of Inconel 718 using Taguchi grey relational analysis (TGRA)

Simultaneous optimization of WEDM responses using grey relational analysis coupled with genetic algorithm while machining EN 353

Influence of slab milling process parameters on surface integrity of HSLA: a multi-performance characteristics optimization

Similar Documents

Determination of optimum parameters for multi-performance characteristics in turning by using grey relational analysis

Optimization of process parameters for surface roughness and microhardness in dry milling of magnesium alloy using Taguchi with grey relational analysis

Design optimization of cutting parameters for side milling operations with multiple performance characteristics

Multi-objective optimization of multi-pass face milling using particle swarm intelligence

Determination of optimum parameters for multi-performance characteristics in drilling by using grey relational analysis

Multi-criteria end milling parameters optimization of AISI D2 steel using genetic algorithm

Optimization of surface roughness in end milling Castamide

Multi-objective optimization of surface roughness and cutting forces in high-speed turning of Inconel 718 using Taguchi grey relational analysis (TGRA)

Simultaneous optimization of WEDM responses using grey relational analysis coupled with genetic algorithm while machining EN 353

Influence of slab milling process parameters on surface integrity of HSLA: a multi-performance characteristics optimization