Data-Driven Modeling of Thermal Regulation in CFRP Drilling: RSM-Based Combined Effects of Wax and Graphene Additives

Keyphrases

• Response Surface Methodology 100%
• Graphene 100%
• Carbon Fiber Reinforced Polymer 100%
• Data-driven Modeling 100%
• Cutting Temperature 100%
• Graphene Additive 100%
• Thermal Regulation 100%
• Wax Additives 100%
• Drilling Response 100%
• Feed Rate 66%
• Carbon Fiber Reinforced Polymer Composites 66%
• Response Surface Methodology Model 66%
• Prediction Accuracy 33%
• High Performance 33%
• Cutting Speed 33%
• Drilling Test 33%
• Graphene Nanoplatelets 33%
• Drilling Operation 33%
• Practical Guidelines 33%
• High Concentration 33%
• Thermal Conductivity 33%
• Agglomeration 33%
• Full Factorial Design 33%
• Metal Cutting 33%
• Cutting Behavior 33%
• Excessive Heat 33%
• Epoxy Matrix 33%
• Mean Temperature 33%
• Heat Dissipation 33%
• Process Stability 33%
• Optimal Formulation 33%
• Optimal Concentration 33%
• Lightweight Structures 33%
• Solid Lubricant 33%
• Thermal Variability 33%
• Modeling Approaches 33%
• Global Response 33%
• Dummy Variable 33%

Engineering

• Response Surface Methodology 100%
• Combined Effect 100%
• Fiber-Reinforced Polymer 100%
• Graphene 100%
• Cutting Temperature 75%
• Feed Rate 50%
• Carbon Fibre-Reinforced Polymer Composite 50%
• Cutting Speed 25%
• Heat Loss 25%
• Graphene Nanoplatelets 25%
• Drilling Operation 25%
• Full Factorial Design 25%
• Metal Cutting 25%
• Epoxy Matrix 25%
• Chilling 25%
• Solid Lubricant 25%
• Poor Thermal Conductivity 25%
• Global Response 25%

Material Science

• Carbon Fiber 100%
• Graphene 100%
• Reinforced Plastic 100%
• Carbon Fiber-Reinforced Polymer Composite 40%
• Thermal Conductivity 20%
• Factorial Design 20%
• Solid Lubricant 20%
• Conventional Metal Cutting 20%