Grinding Parameters Optimization of Stainless Steel Surface Based on Grey Relational Analysis

Yu Lun Chi; Hao Lin Li; Hao Yang Cao; Xian Kun Lin

doi:10.4028/www.scientific.net/AMR.690-693.2450

Paper Titles

Cutting Force Modeling and Prediction in End Milling Including Flank Wear
p.2427

Effect of Microstructure on Cutting Force and Chip Formation during Machining of Ti-6Al-4V Alloy
p.2437

Experiment on Surface Roughness and Acoustic Emission Signal in Infeed Period of Cylindrical Plunge Grinding
p.2442

Experimental Study on Hardness of Titanium Alloy Ti-1023 by Milling
p.2446

Grinding Parameters Optimization of Stainless Steel Surface Based on Grey Relational Analysis
p.2450

Machining Simulation of Equal Base Circle Bevel Gear Using Disc Cutter
p.2456

Math Modules Establish for BUR Edge Chamfer and its Grinding Process
p.2460

Modeling and Analysis of Machining Force in Elliptical Vibration Cutting
p.2464

Modeling of Force on Axial Power Ultrasonic Honing
p.2470

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 690-693Grinding Parameters Optimization of Stainless...

Grinding Parameters Optimization of Stainless Steel Surface Based on Grey Relational Analysis

Abstract:

The theory of grey systems has been used for performance prediction, relational analysis and decision making in many areas. In this paper, the grey relational analysis is applied to optimize the stainless steel cylindrical grinding parameters, and the corresponding grinding parameters are considered, such as spindle speed, feedrate, radial depth of grinding and workpiece speed. An orthogonal array was used for experiments design, and the surface roughness and the roundness were valued in the experiments. By analyzing the grey relational grade matrix, the most influential parameters could be selected. The results of confirmation experiments indicate that grey relational analysis can effectively acquire the optimal combination of grinding parameters.

You might also be interested in these eBooks

Materials Design, Processing and Applications

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 690-693)

Pages:

2450-2455

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.690-693.2450

Citation:

Cite this paper

Online since:

May 2013

Authors:

Yu Lun Chi, Hao Lin Li, Hao Yang Cao, Xian Kun Lin

Keywords:

Grey Relational Analysis (GRA), Grinding Parameters, Orthogonal Experimental Design

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] S. Shaji, V. Radhakrishnan, Analysis of process parameters in surface grinding with graphite as lubricant based of the Taguchi method, Journal of Materials Processing Technology ,141 (1) (2003) 51–59.

DOI: 10.1016/s0924-0136(02)01112-3

Google Scholar

[2] X.M. Wen, A.A.O. Tay, A-Y.C. Nee, Microcomputer based optimization of the surface grinding process, J. Mater. Process. Technol.29 (1992) :75–90.

Google Scholar

[3] Zhou Y, Orban P, Nikumb S Sensors for intelligent machining-a research and application survey. In: Systems,man and cybernetics IEEE international conference on intelligentsystems for the 21st century, vol 2, (1995) pp:1005–1010.

DOI: 10.1109/icsmc.1995.537900

Google Scholar

[4] Liu, J. J., "Monitoring the Precision Machining Process: Sensors Signal Processing and Information Analysis." Ph.D. Dissertation, Mechanical Engineering Department, University of California at Berkeley, 1991.

Google Scholar

[5] Webster, J, et al. Acoustic Emission for Process Control and Monitoring of Surface Integrity During Grinding, Annals of the CIRP, 1994, 43/1: 299-304.

DOI: 10.1016/s0007-8506(07)62218-5

Google Scholar