A data-driven digital twin framework for key performance indicators in CNC machining processes
Author:
Affiliation:
1. Centre for Product Design & Manufacturing, Indian Institute of Science, Bangalore, India
2. Rotary Wing Research & Design Centre, Hindustan Aeronautics Limited, Bangalore, India
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.2023.2177741
Reference52 articles.
1. Critical factors in energy demand modelling for CNC milling and impact of toolpath strategy
2. New Approach for Oee Calculation of Cnc Machines Based on Opc Ua
3. A scalable machine learning online service for big data real-time analysis
4. Intelligent CAD/CAM Systems for CNC Programming–An Overview;Balic J.;Advances in Production Engineering & Management,2006
5. Prediction of surface roughness in CNC face milling using neural networks and Taguchi's design of experiments
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