Optimization of Surface Roughness for EN 1010 Low Alloy Steel on WEDM Using Response Surface Methodology

Munish Giri; Manjeet Bohat; Ravinder Chaudhary; Anish Taneja

doi:10.22161/ijaems.4.7.6

Optimization of Surface Roughness for EN 1010 Low Alloy Steel on WEDM Using Response Surface Methodology

International Journal of Advanced engineering Management and Science ◽

10.22161/ijaems.4.7.6 ◽

2018 ◽

Vol 4 (7) ◽

pp. 534-542

Author(s):

Munish Giri ◽

Manjeet Bohat ◽

Ravinder Chaudhary ◽

Anish Taneja

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Alloy Steel ◽

Low Alloy Steel

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Experimental studies of laser borided low alloy steel and optimization of parameters using response surface methodology

Surface and Coatings Technology ◽

10.1016/j.surfcoat.2019.02.036 ◽

2019 ◽

Vol 363 ◽

pp. 255-264 ◽

Cited By ~ 7

Author(s):

S. Sashank ◽

P. Dinesh Babu ◽

P. Marimuthu

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Alloy Steel ◽

Experimental Studies ◽

Low Alloy Steel ◽

Optimization Of Parameters

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Optimization of Electrical Discharge Machining Process Parameters using SCM420 low alloy steel by Response Surface Methodology

IOSR Journal of Mechanical and Civil Engineering ◽

10.9790/1684-1401047579 ◽

2017 ◽

Vol 14 (01) ◽

pp. 75-79 ◽

Cited By ~ 1

Author(s):

K.S Morankar ◽

R.D. Shelke

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Alloy Steel ◽

Process Parameters ◽

Electrical Discharge ◽

Electrical Discharge Machining ◽

Machining Process ◽

Low Alloy Steel

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Optimization of Cutting Rate for EN 1010 Low Alloy Steel on WEDM Using Response Surface Methodology

International Journal of Advanced engineering Management and Science ◽

10.22161/ijaems.4.7.5 ◽

2018 ◽

Vol 4 (7) ◽

pp. 525-533

Author(s):

Munish Giri ◽

Manjeet Bohat ◽

Ravinder Chaudhary ◽

Anish Taneja

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Alloy Steel ◽

Low Alloy Steel ◽

Cutting Rate

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Experimental investigations and optimization of surface roughness in turning of en 36 alloy steel using response surface methodology and genetic algorithm

Materials Today Proceedings ◽

10.1016/j.matpr.2021.03.642 ◽

2021 ◽

Author(s):

Vishwanath Panwar ◽

Dilip Kumar Sharma ◽

K.V. Pradeep Kumar ◽

Ankit Jain ◽

Chetan Thakar

Keyword(s):

Genetic Algorithm ◽

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Alloy Steel ◽

Experimental Investigations

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Remaining Life Estimation of the High Strength Low Alloy Steel Pipelines by Using Response Surface Methodology

Lecture Notes in Mechanical Engineering - Computational Methods and Experimental Testing In Mechanical Engineering ◽

10.1007/978-3-030-11827-3_14 ◽

2019 ◽

pp. 145-152

Author(s):

Djamel Zelmati ◽

Oualid Ghelloudj ◽

Mohamed Hassani ◽

Abdelaziz Amirat

Keyword(s):

Response Surface Methodology ◽

Response Surface ◽

Alloy Steel ◽

High Strength ◽

Remaining Life ◽

Low Alloy Steel ◽

Life Estimation

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Experimental investigation of laser transformation hardening of low alloy steel using response surface methodology

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-012-4616-z ◽

2012 ◽

Vol 67 (5-8) ◽

pp. 1883-1897 ◽

Cited By ~ 22

Author(s):

P. Dinesh Babu ◽

G. Buvanashekaran ◽

K. R. Balasubramanian

Keyword(s):

Experimental Investigation ◽

Response Surface Methodology ◽

Response Surface ◽

Alloy Steel ◽

Low Alloy Steel ◽

Laser Transformation Hardening

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Mathematical Modeling and Process Parameters Optimization for Surface Roughness in Edm for En31 Material by Response Surface Methodology

Indian Journal Of Applied Research ◽

10.15373/2249555x/oct2013/50 ◽

2011 ◽

Vol 3 (10) ◽

pp. 1-3

Author(s):

P.B.Wagh P.B.Wagh ◽

◽

Dr. R.R.Deshmukh Dr. R.R.Deshmukh ◽

R.D.Gurav R.D.Gurav

Keyword(s):

Mathematical Modeling ◽

Surface Roughness ◽

Response Surface Methodology ◽

Response Surface ◽

Process Parameters ◽

Parameters Optimization ◽

Process Parameters Optimization

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Experimental investigation to optimize laser cutting process parameters for difficult to cut die alloy steel using response surface methodology

Materials Today Proceedings ◽

10.1016/j.matpr.2020.11.201 ◽

2020 ◽

Author(s):

Amit Patel ◽

Sanket N. Bhavsar

Keyword(s):

Experimental Investigation ◽

Response Surface Methodology ◽

Response Surface ◽

Alloy Steel ◽

Process Parameters ◽

Laser Cutting ◽

Cutting Process

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Prediction of surface roughness in turning of duplex stainless steel (DSS) using response surface methodology (RSM) and artificial neural network (ANN)

Materials Today Proceedings ◽

10.1016/j.matpr.2021.05.118 ◽

2021 ◽

Author(s):

Mahesh Gopal

Keyword(s):

Neural Network ◽

Surface Roughness ◽

Artificial Neural Network ◽

Stainless Steel ◽

Response Surface Methodology ◽

Duplex Stainless Steel ◽

Response Surface ◽

Artificial Neural ◽

Artificial Neural Network Ann

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Assessment of cutting force and surface roughness in LM6/SiC p using response surface methodology

Journal of Applied Research and Technology ◽

10.1016/j.jart.2017.01.013 ◽

2017 ◽

Vol 15 (3) ◽

pp. 283-296 ◽

Cited By ~ 13

Author(s):

Aezhisai Vallavi Muthusamy Subramanian ◽

Mohan Das Gandhi Nachimuthu ◽

Velmurugan Cinnasamy

Keyword(s):

Surface Roughness ◽

Response Surface Methodology ◽

Cutting Force ◽

Response Surface

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