Simulation-assisted Investigation of the Electric Power Consumption of Milling Processes and Machine Tools-Reference-Cited by-同舟云学术

Simulation-assisted Investigation of the Electric Power Consumption of Milling Processes and Machine Tools

Published:2018 Issue: Volume:67 Page:87-92
ISSN:2212-8271
Container-title:Procedia CIRP
language:en
Short-container-title:Procedia CIRP

Author:

Wirtz Andreas,Meiner Matthias,Wiederkehr Petra,Myrzik Johanna

Publisher

Elsevier BV

Subject

General Medicine

Reference26 articles.

1. Federal Ministry for Economic Affairs and Energy (BMWi). Making more out of energyNational Action Plan on Energy Efficiency. Berlin: 2014.

2. Federal Ministry for the Environment, Nature Conservation, Building and Nuclear Safety (BMUB). The German Government's Climate Action Programme 2020Cabinet decision of 3 December 2014. Berlin: 2014.

3. Shrouf F, Ordieres J, Miragliotta G. Smart Factories in Industry 4.0: A Review of the Concept and of Energy Management Approached in Production Based on the Internet of Things Paradigm. In: IEEE. Proceedings of the 2014 IEEE IEEM; 2014. p. 697-701.

4. Modelling and optimization of energy consumption for feature based milling;Altınta;International Journal of Advanced Manufacturing Technology,2016

5. Modelling of direct energy requirements in mechanical machining processes;Balogun;Journal of Cleaner Production,2013

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Feed Rate Optimization Using NC Cutting Load Maps;Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems;2023-08-24

2. A Regression Model for Tool Wear and Breakage Diagnosis;Lecture Notes in Mechanical Engineering;2023

3. Energy Saving by Parametric Optimization and Advanced Lubri-Cooling Techniques in the Machining of Composites and Superalloys: A Systematic Review;Energies;2022-11-07

4. Indirect monitoring of machining characteristics via advanced sensor systems: a critical review;The International Journal of Advanced Manufacturing Technology;2022-05-04

5. A new study for prediction and optimisation of energy consumption during high-speed milling;International Journal of Computer Integrated Manufacturing;2022-01-31