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Cutting Force Optimization Under ANN and QRCCD
Imhade P. Okokpujie
,
Lagouge K. Tartibu
Mechanical and Industrial Engineering Technology
University of Johannesburg
Afe Babalola University
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Chapter
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peer-review
2
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Keyphrases
Artificial Neural Network
100%
Central Composite Rotatable Design
100%
Computer numerical Control
16%
Cutting Force
100%
Cutting Force Optimization
100%
Cutting Process
16%
Cutwidth
16%
Depth of Cut
16%
Energy Consumption
33%
Feed Rate
16%
Helix Angle
16%
Heuristic Techniques
16%
Industrial Use
16%
Lubricant
16%
Machining Operations
33%
Machining Optimization
16%
Machining Parameters
16%
Machining Process
16%
Manufacturing Process
16%
Metaheuristic Methods
16%
Nanolubricant
33%
Optimal Machining
16%
Prediction Analysis
16%
Rutile
16%
Spindle Speed
16%
Sustainable Machining
16%
Sustainable Manufacturing
16%
Vegetable Oil
16%
Engineering
Alloy
14%
Artificial Neural Network
100%
Central Composite Design
100%
Computer Numerical Control
14%
Cutting Force
100%
Experimental Result
14%
Feed Rate
14%
Helix Angle
14%
Machining Operation
28%
Machining Parameter
14%
Manufacturing Process
28%
Spindle Speed
14%
Sustainable Manufacturing
14%
Material Science
Alloy
20%
Machining
100%
Titanium Dioxide
20%