Investigation of the performance of the MQL, dry, and wet turning by response surface methodology (RSM) and artificial neural network (ANN)

Predictive modeling and multi-response optimization of technological parameters in turning of Polyoxymethylene polymer (POM C) using RSM and desirability function

(2017) Amel Chabbi et al.   MEASUREMENT

Effects of Minimum Quantity Lubrication (MQL) in machining processes using conventional and nanofluid based cutting fluids: A comprehensive review

(2016) Anuj Kumar Sharma et al.   JOURNAL OF CLEANER PRODUCTION

Application of response surface methodology in describing the performance of mixed ceramic tool when turning AISI 4140 steel

(2016) Mohamed Elbah et al.   Mechanics & Industry

Study on surface roughness measurement for turning of Al 7075/10/SiCp and Al 7075 hybrid composites by using response surface methodology (RSM) and artificial neural networking (ANN)

(2015) Ravinder Kumar et al.   MEASUREMENT

Artificial neural network prediction of aging effects on the wear behavior of IN706 superalloy

(2015) Osman Palavar et al.   MATERIALS & DESIGN

Investigation and modeling of cutting forces and surface roughness when hard turning of AISI 52100 steel with mixed ceramic tool: cutting conditions optimization

(2014) I. Meddour et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Mathematical modeling for turning on AISI 420 stainless steel using surface response methodology

(2014) Lakhdar Bouzid et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

Minimum quantity lubrication-MQL turning of AISI 4140 steel alloy

(2013) Mohammadjafar Hadad et al.   JOURNAL OF CLEANER PRODUCTION

Comparison of the results of response surface methodology and artificial neural network for the biosorption of lead using black cumin

(2012) Deniz Bingöl et al.   BIORESOURCE TECHNOLOGY

Modelling and optimization of the cutting conditions in hard turning of high-alloy white cast iron (Ni-Hard)

(2012) Emre Yücel et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis

(2011) İlhan Asiltürk et al.   MEASUREMENT

Surface roughness and cutting force prediction in MQL and wet turning process of AISI 1045 using design of experiments

(2010) Young Kug Hwang et al.   Journal of Mechanical Science and Technology

Evaluation of Machining Parameters of Hot Turning of Stainless Steel (Type 316) by Applying ANN and RSM

(2010) S. Ranganathan et al.   MATERIALS AND MANUFACTURING PROCESSES

Effects of minimum quantity lubrication on turning AISI 9310 alloy steel using vegetable oil-based cutting fluid

(2009) M.M.A. Khan et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Comparison of RSM with ANN in predicting tensile strength of friction stir welded AA7039 aluminium alloy joints

(2009) A.K. LAKSHMINARAYANAN et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA