Growing Science » Tags cloud » Response Surface Methodology
Authors: Faria Aktar Tonny, Ayesha Maliha, Mahedi Islam Chayan, Md Doulotuzzaman Xames
DOI: 10.5267/j.msl.2022.12.002
Keywords: Overall equipment effectiveness, Total productive maintenance, Productivity, Optimization, Response surface methodology, Case study
Journal: MSL | Year: 2023 | Volume: 13 | Issue: 2 | Views: 1160 | Reviews: 0
Authors: Akash Singh, Karan Kumar, K. Gnana Sundari, Rishitosh Ranjan, B. Surekha
DOI: 10.5267/j.dsl.2021.12.001
Keywords: Electric discharge machine, Tungsten carbide, Al alloy, Grey regression analysis, Response surface methodology
Journal: DSL | Year: 2022 | Volume: 11 | Issue: 2 | Views: 713 | Reviews: 0
Authors: Mohammad F. F. S. Alazemi, Mohd Khairol Anuar Ariffin, Mohd Naim Abdullah, Eris Elianddy Supeni, Faieza Abdul Aziz
Keywords: Soda Lime Silica Glass, Rice Husk Ash, Response Surface Methodology, Rockwell Hard-Ness Test, Microstructural Analysis
Journal: ESM | Year: 2022 | Volume: 10 | Issue: 2 | Views: 971 | Reviews: 0
Authors: Amir Parnianifard, A.S. Azfanizam, M.K.A. Ariffin, M.I.S. Ismail
DOI: 10.5267/j.ijiec.2018.2.001
Keywords: Robust design, Loss function, Uncertainty, Response surface methodology, Process optimization
Journal: IJIEC | Year: 2019 | Volume: 10 | Issue: 1 | Views: 2142 | Reviews: 0
Authors: Hamid Tebassi, Mohamed Athmane Yallese, Salim Belhadi, Francois Girardin, Tarek Mabrouki
DOI: 10.5267/j.ijiec.2016.12.003
Keywords: Surface roughness, Productivity, Response surface methodology, Box-Cox technique, Analysis of variance, Response optimization
Journal: IJIEC | Year: 2017 | Volume: 8 | Issue: 3 | Views: 2452 | Reviews: 0
Authors: Pawan Kumar, Meenu Meenu, Vineet Kumar
Keywords: Inconel 825, Sprint cut WEDM, Machining Characteristics, Response surface methodology, Grey relational analysis
Journal: DSL | Year: 2018 | Volume: 7 | Issue: 4 | Views: 5380 | Reviews: 0
Authors: Srinath Reddy N., Dinesh Tirumala, Rajyalakshmi Gajjela, Raja Das
DOI: 10.5267/j.dsl.2017.11.003
Keywords: AWJM, Response surface methodology, Artificial neural network, Modeling, Optimization
Journal: DSL | Year: 2018 | Volume: 7 | Issue: 4 | Views: 1861 | Reviews: 0
Authors: Bassim Bachy, Jörg Franke
DOI: 10.5267/j.ijiec.2015.4.003
Keywords: Artificial neural network, LDS process, MID process, Modeling, Response surface methodology
Journal: IJIEC | Year: 2015 | Volume: 6 | Issue: 4 | Views: 2144 | Reviews: 0
Authors: Rajan Jindal, Deepak Choudhary
DOI: 10.5267/j.ijiec.2015.3.003
Keywords: Analysis of variance, Face centered central composite design, Response surface methodology, Surface roughness, Turning process
Journal: IJIEC | Year: 2015 | Volume: 6 | Issue: 3 | Views: 1929 | Reviews: 0
Authors: Ashok Kumar Sahoo, Purna Chandra Mishra
DOI: 10.5267/j.ijiec.2014.4.002
Keywords: Coated carbide, Cutting temperature, Desirability approach, Hard turning, Response surface methodology
Journal: IJIEC | Year: 2014 | Volume: 5 | Issue: 3 | Views: 2444 | Reviews: 0
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