Selection of an ideal MQL-assisted milling condition: an NSGA-II-coupled TOPSIS approach for improving machinability of Inconel 690

Application of TOPSIS to Taguchi method for multi-characteristic optimization of electrical discharge machining with titanium powder mixed into dielectric fluid

(2018) Huu-Phan Nguyen et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Decision Maker Priority Index and Degree of Vagueness Coupled Decision Making Method: A Synergistic Approach

(2018) Syed Abou Iltaf Hussain et al.   International Journal of Fuzzy Systems

An effective multi-objective genetic algorithm based on immune principle and external archive for multi-objective integrated process planning and scheduling

(2017) Guofu Luo et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Advancement of an intelligent system based on ANFIS for predicting machining performance parameters of Inconel 690 – A perspective of metaheuristic approach

(2017) Binayak Sen et al.   MEASUREMENT

Prediction and optimization by using SVR, RSM and GA in hard turning of tempered AISI 1060 steel under effective cooling condition

(2017) Mozammel Mia et al.   NEURAL COMPUTING & APPLICATIONS

Performance –emission optimization of a diesel-hydrogen dual fuel operation: A NSGA II coupled TOPSIS MADM approach

(2016) Madhujit Deb et al.   ENERGY

Experimental study and machining parameter optimization in milling thin-walled plates based on NSGA-II

(2016) Sheng Qu et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Optimization of MQL flow rate for minimum cutting force and surface roughness in end milling of hardened steel (HRC 40)

(2016) Mozammel Mia et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Investigation of surface roughness, microhardness and white layer thickness in hard milling of AISI 4340 using minimum quantity lubrication

(2016) Hamed Hassanpour et al.   JOURNAL OF CLEANER PRODUCTION

Process parameters optimization for micro end-milling operation for CAPP applications

(2014) S. P. Leo Kumar et al.   NEURAL COMPUTING & APPLICATIONS

Hybrid sampling strategy-based multiobjective evolutionary algorithm for process planning and scheduling problem

(2013) Wenqiang Zhang et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Tool life and cutting forces in end milling Inconel 718 under dry and minimum quantity cooling lubrication cutting conditions

(2012) S. Zhang et al.   JOURNAL OF CLEANER PRODUCTION

An experimental investigation on effects of minimum quantity lubrication oil supply rate in high-speed end milling of Ti–6Al–4V

(2012) Xiao Jiang Cai et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

Investigation of cutting force and temperature of end-milling Ti–6Al–4V with different minimum quantity lubrication (MQL) parameters

(2011) Z Q Liu et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

Tool wear analysis in milling of medium carbon steel with coated cemented carbide inserts using different machining lubrication/cooling systems

(2011) R.B. Da Silva et al.   WEAR

Application of GA to optimize cutting conditions for minimizing surface roughness in end milling machining process

(2009) Azlan Mohd Zain et al.   EXPERT SYSTEMS WITH APPLICATIONS

Cooling techniques for improved productivity in turning

(2009) Vishal S. Sharma et al.   INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE

Studies on boundary lubrication properties of oxidised coconut and soy bean oils

(2009) Jagadeesh K. Mannekote et al.   Lubrication Science

Advances in the turning process for productivity improvement — a review

(2008) V S Sharma et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE