Sandip Kumar et al. [1] has studied the Taguchi method and was found that various input parameters of cylindrical grinding such as the work piece speed, grinding wheel speed and feed rate has more significant effect for surface roughness and depth of cut has least effect on Material removal rate of EN15 AM steel. A Taguchi L18 (21 x 33) orthogonal array, the signal to noise (S/N) ratio and the analysis of variance (ANOVA) were used for the optimization of cutting parameters. ANOVA results shows that work piece speed contributes maximum 38.95 % percentage contribution, grinding wheel speed contributes 14.85 %, feed rate contributes 12.85% and depth of cut has least contribution about 9.80% towards the material removal rate. And finally concluded the optimized parameters for material removal rate are grinding wheel speed 1800 rpm, work piece speed 155 rpm, feed rate 275 mm/rev and depth of cut .04 mm.
Sandeep Kumar, Onkar Singh Bhatia, “Review of Analysis & Optimization of Cylindrical Grinding Process Parameters on Material Removal Rate of En15AM Steel”, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE), Volume 12, Issue 4 Ver. II (Jul. - Aug. 2015), PP 35-43.
Naresh Kumar et al. [2] worked on cylindrical grinding of C40E steel is done for the optimization of grinding process parameters. During this experimental work input process parameters i.e. speed, feed, depth of cut are optimized by using Taguchi L9 orthogonal array. They concluded that surface roughness is minimum at the 210 rpm, 0.11mm/rev feed, and 0.04mm depth of penetration.
Naresh Kumar, Himanshu Tripathi, Sandeep Gandotra, “Optimization of Cylindrical Grinding Process Parameters on C40E Steel Using Taguchi Technique”, International Journal of Engineering Research and Applications (ijera), Vol. 5, Issue 1(Part 3), January 2015, pp.100-104.
M. Melwin Jagadeesh Shridhar et al. [3] analyzed optimal process parameters of cylindrical grinding to grind OHNS Steel (AISI 0-1) with high surface quality by conducting various experiments. In this work L9 orthogonal array was selected for three levels and three input parameters. The inputs parameters are considered in this experimental study are work speed, depth of cut and number of passes and response parameter is metal removal rate (MRR) during cylindrical grinding process. Higher metal removal rate is the main objective of this machining process. The different machining parameters of OHNS steel of cylindrical grinding process are optimized by Signal to noise ratio
and analyzed by Analysis of variance (ANOVA’s). Finally they has found that number of pass of grinding process play an important role for achieving larger metal removal rate in cylindrical grinding process and optimal parameter of OHNS steel rounds in cylindrical grinding process are 150rpm of wheel speed ,0.02 mm of depth of cut and 1 number of pass.
M.Melwin Jagadeesh Sridhar, M.Manickam, V.Kalaiyarasan, M.Abdul Ghani Khan, Ttm.Kannan, “Optimization of Cylindrical Grinding Process Parameters of OHNS Steel (AISI 0-1) Rounds Using Design of Experiments Concept”, International Journal of Engineering Trends and Technology (IJETT) – Volume 17 Number 3 – Nov 2014, PP 109-114.
K. Mekala et al. [4] analyzed that an optimization of cylindrical grinding parameters of austenitic stainless steel rods (AISI 316) by Taguchi method to have maximum MRR with good surface quality. In this, Taguchi design of experiments of L9 orthogonal array was selected with 3 levels with 3 factors and output parameters of Metal removal rate are measured. Cutting speed is a dominating parameter of cylindrical grinding. The optimal process parameters for AISI 316 austenitic stainless steel were found 560 m/min of cutting speed, 0.130 mm/rev of feed and 0.005 mm of depth of cut.
K Mekala, J Chandradas, K Chandrasekaran, T T M Kannan, E Ramesh, R Narasing Babu, “Optimization Of Cylindrical Grinding Parameters of Austenitic Stainless Steel Rods (AISI 316) By Taguchi method”, International Journal of Mechanical Engineering And Robotics Research” (IJMERR), Vol. 3, No. 2, April 2014, PP 208-215.
Lijohn P George et al. conducted experiment to study the working of cylindrical grinding machine and effects of grinding process parameters on Surface roughness. The experiments are conducted on MILANO RICEN RUM 1 Cylindrical Grinding Machine with L9 Orthogonal array with input machining variables as work speed, depth of cut and hardness of material. In this EN 24, EN 31, EN 353 alloy steels are used. Surface roughness is measured using MITUTOYO Surf test SJ-400 surface roughness tester. He also formulated an empirical relationship between the surface roughness values and the input parameters. Taguchi parametric optimization is used for the optimization process.
Lijohn P George, K Varughese Job, I M Chandran, “Study on Surface Roughness and its Prediction in Cylindrical Grinding Process based on Taguchi method of optimization”, International Journal of Scientific and Research Publications, Volume 3, Issue 5, May 2013, PP 1-5.
Kundan Kumar et al. [6] used Taguchi method to find optimal material removal and effect of process parameters of cylindrical grinding machine on mild steel work pieces. In this grinding parameters evaluated are cutting speed and depth of cut. An L9 orthogonal array was used. From his
experiment, he derived optimal grinding conditions for selected quality characteristic, MRR are – Cutting speed 41.07 m/min, Depth of cut 0.020 mm and optimal material removal rate is 19.906mm3/s. Also he found the percentage contributions of the parameters from ANOVA
are Cutting Speed 47.30%, Depth of Cut 4.40%. The percentage contributions of the parameters have revealed that the influence of the Cutting Speed is significantly larger than that of Depth of Cut.
Kundan Kumar, Somnath Chattopadhyaya, Hari Singh, “Optimal Material Removal and Effect of Process Parameters of Cylindrical Grinding Machine by Taguchi Method”, International Journal of Advanced Engineering Research and Studies, IJAERS, Vol. II, Issue I, Oct.-Dec., 2012, pp. 41-45.
Deepak Pal et al. conducted experiments on universal tool and cutter grinding machine with L9 Orthogonal array with input machining variables as work speed, grinding wheel grades and hardness of material. The results reveals surface roughness (Ra).The predicted optimal values for Ra for cylindrical grinding process was 1.07 Ra.
Deepak Pal, Ajay Bangar, Rajan Sharma, Ashish Yadav, “Optimization of Grinding Parameters for Minimum Surface Roughness by Taguchi Parametric Optimization Technique”, International Journal of Mechanical and Industrial Engineering (IJMIE), Volume-1, Issue-3, 2012, 74-78.
Kirankumar Ramakantrao Jagtap et al. has done the work on cylindrical grinding of AISI 1040 steel to find out optimal process parameters that will minimize the surface roughness and maximize the metal removal rate. Empirical models were developed using design of experiments by Taguchi L9 Orthogonal Array. For minimum surface roughness he found that the work speed was the most influencing factor for AISI 1040 work material followed by grinding wheel speed, number of passes and depth of cut. So, to achieve the minimum surface roughness of AISI 1040 steel, employ low depth of cut of 300 µm, highest work speed of 630 rpm with moderate number of passes 06 and high grinding wheel speed of 1910 rpm. And for metal removal rate, the most influencing factor was number of passes, second being depth of cut followed by grinding wheel speed and work speed. So, to achieve the maximum metal removal rate of AISI 1040 steel, employ higher depth of cut of 400 µ m, moderate work speed of 224 rpm with minimum number of passes of 03 and high grinding wheel speed of 1910 rpm.
Kirankumar Ramakantrao Jagtap, S.B.Ubale, Dr.M.S.Kadam, “Optimization of Cylindrical Grinding Process Parameters for AISI 1040 Steel Using Taguchi Method”, International Journal of Mechanical Engineering and Technology (IJMET), Volume 3, Issue 1, January- April (2012), pp. 226-234.
M. Ganeshan et al. used Taguchi method for prediction and optimization of Cylindrical Grinding Parameters for Surface Roughness. Experiments are conducted on 304 stainless steel material. Experiments were conducted by using Taguchi design of experiments of L9 orthogonal array with 3 levels with 3 factors and output parameter of Surface Roughness is measured. They predicted that cutting speed is a dominating parameter of cylindrical grinding.
M. Ganesan, S. Karthikeyan, N. Karthikeyan, “Prediction and Optimization of Cylindrical Grinding Parameters for Surface Roughness Using Taguchi Method”, IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-ISSN: 2278-1684, p ISSN: 2320-334X, PP 39-46.
A REVIEW ON OPTIMIZATION OF CYLINDRICAL GRINDING PROCESS PARAMETERS USING TAGUCHI METHOD
Anil M. Avadut, P.G. Student,
Prof. V. V. Potdar 2Vice Principal
(Mechanical Department, A.G.P.I.T, Solapur, Maharashtra, India)
JETIR (ISSN-2349-5162,)August 2017, Volume 4, Issue 08
B. Dasthagiri, Dr. E. Venu gopal Goud, “Optimization Studies on Surface Grinding Process Parameters”, International Journal of
Innovative Research in Science, Engineering and Technology, Vol. 4, Issue 7, July 2015, pp 6148 – 6156.
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