Mathematical Modeling of Surface Roughness in Surface Grinding Operation
A mathematical model of the surface roughness
has been developed by using response surface methodology
(RSM) in grinding of AISI D2 cold work tool steels. Analysis
of variance (ANOVA) was used to check the validity of the
model. Low and high value for work speed and feed rate are
decided from design of experiment. The influences of all
machining parameters on surface roughness have been
analyzed based on the developed mathematical model. The
developed prediction equation shows that both the feed rate
and work speed are the most important factor that influences
the surface roughness. The surface roughness was found to be
the lowers with the used of low feed rate and low work speed.
Accuracy of the best model was proved with the testing data.
[1] Z.W. Zhong, V.C. Venkatesh, Recent Developments in Grinding of
Advanced Materials, International Journal of Advanced
Manufacturing and Technology, 41(2009) 468-480.
[2] K. Ramesh, H. Huang, L. Yin, Analytical and experimental
investigation of coolant velocity in high speed grinding, International
Journal of Machine Tools and Manufacture,44 (2004) 1069-1076.
[3] Anne Venu Gopal, P. Venkateswara Rao, Selection of optimum
conditions for maximum material removal rate with surface finish and
damage as constraints in SiC grinding, International Journal of
Machine Tools & Manufacture, 43 (2003) 1327-1336.
[4] H.Y. Lai, C.K. Chen, Surface Fine Grinding via a Regenerative
Grinding, Journal of Physics: Conference Series, 48 (2006) 1210-
1221.
[5] S. Malkin, C. Guo, Theory and applications of machining with
abrasives, 2nd ed. Published by Industrial Press, Inc. New York, 2008.
[6] A. Cameron, R. Bauer, A. Warkentin, An Investigation of the Effects
of Wheel-Cleaning Parameters in Creep-Feed Grinding, International
Journal of Machine Tools and Manufacture,50 (2010) 126-130.
[7] R.L. Hecker, S.Y. Liang, Predictive Modeling of Surface Roughness in
Grinding, International Journal of Machine Tools & Manufacture, 43
(2003) 755-761.
[8] Z.W. Zhong, V.C. Venkatesh, Recent Developments in Grinding of
Advanced Materials, Journal of Springer Link, 8 (2008) 1496-1503.
[9] Y. Sahin, A.R. Motorcu, Surface Roughness Model for Machining
Mild Steel with Coated Carbide Tool, Materials and Design, 26 (2005)
321-326.
[10] N. Bradley, The Response Surface Methodology, Master Thesis
Dissertation, Indiana University of South Bend, (2007).
[11] M. Kiyak, O. Cakir, E. Alton, A Study on Surface Roughness in
External Cylindrical Grinding, 12th International Scientific Conference
Achievements in Mechanical & Materials Engineering, (2003).
[1] Z.W. Zhong, V.C. Venkatesh, Recent Developments in Grinding of
Advanced Materials, International Journal of Advanced
Manufacturing and Technology, 41(2009) 468-480.
[2] K. Ramesh, H. Huang, L. Yin, Analytical and experimental
investigation of coolant velocity in high speed grinding, International
Journal of Machine Tools and Manufacture,44 (2004) 1069-1076.
[3] Anne Venu Gopal, P. Venkateswara Rao, Selection of optimum
conditions for maximum material removal rate with surface finish and
damage as constraints in SiC grinding, International Journal of
Machine Tools & Manufacture, 43 (2003) 1327-1336.
[4] H.Y. Lai, C.K. Chen, Surface Fine Grinding via a Regenerative
Grinding, Journal of Physics: Conference Series, 48 (2006) 1210-
1221.
[5] S. Malkin, C. Guo, Theory and applications of machining with
abrasives, 2nd ed. Published by Industrial Press, Inc. New York, 2008.
[6] A. Cameron, R. Bauer, A. Warkentin, An Investigation of the Effects
of Wheel-Cleaning Parameters in Creep-Feed Grinding, International
Journal of Machine Tools and Manufacture,50 (2010) 126-130.
[7] R.L. Hecker, S.Y. Liang, Predictive Modeling of Surface Roughness in
Grinding, International Journal of Machine Tools & Manufacture, 43
(2003) 755-761.
[8] Z.W. Zhong, V.C. Venkatesh, Recent Developments in Grinding of
Advanced Materials, Journal of Springer Link, 8 (2008) 1496-1503.
[9] Y. Sahin, A.R. Motorcu, Surface Roughness Model for Machining
Mild Steel with Coated Carbide Tool, Materials and Design, 26 (2005)
321-326.
[10] N. Bradley, The Response Surface Methodology, Master Thesis
Dissertation, Indiana University of South Bend, (2007).
[11] M. Kiyak, O. Cakir, E. Alton, A Study on Surface Roughness in
External Cylindrical Grinding, 12th International Scientific Conference
Achievements in Mechanical & Materials Engineering, (2003).
@article{"International Journal of Chemical, Materials and Biomolecular Sciences:51836", author = "M.A. Kamely and S.M. Kamil and C.W. Chong", title = "Mathematical Modeling of Surface Roughness in Surface Grinding Operation", abstract = "A mathematical model of the surface roughness
has been developed by using response surface methodology
(RSM) in grinding of AISI D2 cold work tool steels. Analysis
of variance (ANOVA) was used to check the validity of the
model. Low and high value for work speed and feed rate are
decided from design of experiment. The influences of all
machining parameters on surface roughness have been
analyzed based on the developed mathematical model. The
developed prediction equation shows that both the feed rate
and work speed are the most important factor that influences
the surface roughness. The surface roughness was found to be
the lowers with the used of low feed rate and low work speed.
Accuracy of the best model was proved with the testing data.", keywords = "Mathematical Modeling, Response surfacemethodology, Surface roughness, Cylindrical Grinding.", volume = "5", number = "8", pages = "674-4", }