Statistical analysis of surface roughness and cutting forces using response surface methodology in hard turning of AISI 52100 bearing steel with CBN tool
By Khaider Bouacha, M. Yallese, Tarek Mabrouki, Jean François Rigal. 2010
439 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/51bc63c942f2dfaad578945217b20030bfc874eb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- K. Chaoui
- Tarek Mabrouki
- M. Yallese
- S. Basavarajappa
- R. Suresh
- G. Samuel
- V. Gaitonde
- Jean François Rigal
In Industrial and Manufacturing Engineering
In Mechanical Engineering
- Tarek Mabrouki
- K. Chaoui
- M. Yallese
- S. Basavarajappa
- R. Suresh
- G. Samuel
- Amit Rai Dixit
- Anuj Kumar Sharma
Citations in the corpus
- Machinability investigations on hardened AISI 4340 steel using coated carbide insert (2012, background): “This process has become a normal practice in industry because of increased productivity and reduced energy consumption [6–8].”
- Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization (2012, methodology): “Similar results were reported by Bouacha [6] when turning AISI 52100 steel (64 HRC) using CBN tool.”
- Mathematical modeling for turning on AISI 420 stainless steel using surface response methodology (2015, methodology): “For the case of turning of AISI 52100 bearing steel hardened at 64HRC with cubic boron nitride (CBN) tool, the ANOVA and RSM method carried out by Bouacha et al.(18) showed that it was possible to combine the effects of cutting parameters on surface roughness and cutting forces.”
- Performance Evaluation of Alumina-graphene Hybrid Nano-cutting Fluid in Hard Turning (2017, result): “Similar findings were observed by Bouacha et al. (2010) in their investigations.”
- Optimization of tool geometry parameters for turning operations based on the response surface methodology (2011, methodology): “[5] Cutting speed, feed rate, depth of cut AISI52100 hardened steel Response surface Kini and Chincholkar [6] Cutting speed, feed rate, depth of cut, tool nose radius Reinforced polymer Response surface Cakir et al.”