Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Okafor C. E
Predictive Models for Cutting Force in Turning Tools Based on Response Surface Methodology
Review of Industrial Engineering Letters
Related publications
Prediction of Thrust Force and Cutting Torque in Drilling Based on the Response Surface Methodology
Machines
Control
Systems Engineering
Industrial
Mechanical Engineering
Electronic Engineering
Manufacturing Engineering
Optimization
Electrical
Computer Science
On the Application of Response Surface Methodology for Predicting and Optimizing Surface Roughness and Cutting Forces in Hard Turning by PVD Coated Insert
International Journal of Industrial Engineering Computations
Industrial
Manufacturing Engineering
Investigation of Cutting Force in Hardened Steel Turning
Scholarly Notes of Komsomolsk-na-Amure State Technical University
Optimal Machining Conditions for Turning Ti-6Al-4v Using Response Surface Methodology
Advances in Manufacturing
Mechanics of Materials
Industrial
Mechanical Engineering
Polymers
Manufacturing Engineering
Plastics
Power Prediction Model for Turning EN-31 Steel Using Response Surface Methodology
Journal of Engineering Science and Technology Review
Engineering
Modeling and Optimization of Carbon Steel AISI 1045 Surface Roughness in CNC Turning Based on Response Surface Methodology and Heuristic Optimization Algorithms
American Journal of Neural Networks and Applications
Prediction of Process Parameters in Turning of Titanium Alloys Using Response Surface Methodology
International Journal of Mechanical and Production Engineering Research and Development
Transfer Processes
Fluid Flow
Mechanical Engineering
Aerospace Engineering
Optimization of Cutting Rate for EN 1010 Low Alloy Steel on WEDM Using Response Surface Methodology
International Journal of Advanced Engineering, Management and Science
Effect and Optimization of Machining Parameters on Cutting Force and Surface Finish in Turning of Mild Steel and Aluminum
International Journal of Research in Engineering and Technology