Indirect monitoring of machining characteristics via advanced sensor systems: a critical review

ME Korkmaz, MK Gupta, Z Li, GM Krolczyk… - … International Journal of …, 2022 - Springer
On-line monitoring of the machining processes provides to detect the amount and type of
tool wear which is critical for the determination of remaining useful lifetime of cutting tool …

Machine learning applications for sustainable manufacturing: a bibliometric-based review for future research

A Jamwal, R Agrawal, M Sharma, A Kumar… - Journal of Enterprise …, 2022 - emerald.com
Purpose The role of data analytics is significantly important in manufacturing industries as it
holds the key to address sustainability challenges and handle the large amount of data …

Energy consumption in machining: Classification, prediction, and reduction strategy

GY Zhao, ZY Liu, Y He, HJ Cao, YB Guo - Energy, 2017 - Elsevier
Energy consumption in machining contributes a significant part of manufacturing cost and
produces a great environmental impact. This paper provides a critical assessment on energy …

A systematic literature review on machine tool energy consumption

N Sihag, KS Sangwan - Journal of Cleaner Production, 2020 - Elsevier
Energy efficiency has become an integral part of the metal manufacturing industries as a
means to improve economic and environmental performance, and increase …

A generic energy prediction model of machine tools using deep learning algorithms

Y He, P Wu, Y Li, Y Wang, F Tao, Y Wang - Applied Energy, 2020 - Elsevier
Energy prediction of machine tools plays an irreplaceable role in energy planning,
management, and conservation in the manufacturing industry. In the era of big machinery …

Optimization techniques for energy efficiency in machining processes—a review

FZE Abdelaoui, A Jabri, AE Barkany - The International Journal of …, 2023 - Springer
Metal working process is one of the main activities in mechanical manufacturing industry; it
is considered as a major consumer of energy and natural resources. In material removal …

Evaluating the effects of nano-fluids based MQL milling of IN718 associated to sustainable productions

MA ul Haq, S Hussain, MA Ali, MU Farooq… - Journal of Cleaner …, 2021 - Elsevier
The aeronautical industry is constantly striving for goals related to lesser production/
maintenance time and cost. In this regard, aero-engines made up of Nickel-based alloy are …

Toward Digital twin for sustainable manufacturing: A data-driven approach for energy consumption behavior model generation

F Abdoune, L Ragazzini, M Nouiri, E Negri… - Computers in Industry, 2023 - Elsevier
Traditional manufacturing systems face a major transition challenge toward intelligent and
sustainable manufacturing systems. Energy-efficient manufacturing has become one of the …

Machine learning based very short term load forecasting of machine tools

B Dietrich, J Walther, M Weigold, E Abele - Applied Energy, 2020 - Elsevier
With the ongoing integration of renewable energies into the electrical power grid, industrial
energy flexibility gains importance. To enable demand response applications, knowledge …

Cyber Physical System and Big Data enabled energy efficient machining optimisation

YC Liang, X Lu, WD Li, S Wang - Journal of cleaner Production, 2018 - Elsevier
Due to increasingly customised manufacturing, unpredictable ambient working conditions in
shop floors and stricter requirements on sustainability, it is challenging to achieve energy …