A new study for prediction and optimisation of energy consumption during high-speed milling
Author:
Affiliation:
1. Faculty of Information Technology, Hanoi University of Industry, Ha Noi, Vietnam
2. Faculty of Mechanical Engineering, Hanoi University of Industry, Ha Noi, Vietnam
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2022.2028010
Reference60 articles.
1. A METHODOLOGY FOR PRACTICAL CUTTING FORCE EVALUATION BASED ON THE ENERGY SPENT IN THE CUTTING SYSTEM
2. Multi-objective optimization of cutting parameters to minimize power consumption in dry turning of stainless steel 316
3. Tool wear condition monitoring based on continuous wavelet transform and blind source separation
4. Optimization of process parameters using a Response Surface Method for minimizing power consumption in the milling of carbon steel
5. Vibration singularity analysis for milling tool condition monitoring
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1. Time Series Prediction for Energy Consumption of Computer Numerical Control Axes Using Hybrid Machine Learning Models;Machines;2023-11-08
2. A generalized closed-form model of cutting energy for arbitrary-helix cylindrical milling tools and its applications;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2023-11-07
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