Predictive modelling of surface roughness in fused deposition modelling using data fusion

Keyphrases

• Surface Roughness 100%
• Additive Manufacturing 100%
• Predictive Modeling 100%
• Data Fusion Method 60%
• Least Squares Support Vector Regression (LSSVR) 40%
• Random Forest 40%
• Predictive Models 40%
• Least Absolute Shrinkage and Selection Operator (LASSO) 40%
• Ridge Regression 40%
• Quality Assurance 20%
• Machine Learning Algorithms 20%
• Health Condition 20%
• Time Monitoring 20%
• Prediction Accuracy 20%
• Predictive Tool 20%
• Multiple Sensors 20%
• Real-time Monitoring System 20%
• Model-based Diagnosis 20%
• Real-time Process Monitoring 20%
• Model-based Prognostics 20%
• Condition Monitoring Data 20%

Engineering

• Fused Deposition Modeling 100%
• Additive Manufacturing 66%
• Random Forest 66%
• Least Absolute Shrinkage and Selection Operator 66%
• Support Vector Machine 66%
• Experimental Result 33%
• Level Feature 33%
• Condition Monitoring 33%
• Monitoring System 33%
• Data Source 33%
• Multiple Sensor 33%
• Machine Learning Algorithm 33%
• Monitoring Data 33%
• Real-Time Process Monitoring 33%

Material Science

• Surface Roughness 100%
• Fused Filament Fabrication 100%
• Three Dimensional Printing 50%
• Real-Time Process Monitoring 25%