Sustainable machining - Open Access .click

IEEE Internet Computing, 2021
Nowadays, our world is driven by complex, large scale, yet tactile information systems requiring various degrees of trustworthiness. Trustworthiness of the systems always comes with costs. The traditional and rather costly way to understand the behavior of large scale systems is to develop powerful mathematical abstractions that allow us to condense ...
Ivona Brandic, Ewa Deelman
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Solutions for Sustainable Machining

Journal of Manufacturing Science and Engineering, 2016
The manufacturing industry contributes over 19% to the world's greenhouse gas emissions (U.S. Energy Information Administration, 2008, “Rep: Annual Energy Review 2008,” Report No. DOE/EIA-0384; Diaz et al., 2010, “Environmental Analysis of Milling Machine Tool Use in Various Manufacturing Environments,” 2010 IEEE International Symposium on Sustainable ...
Eckart Uhlmann +6 more
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Machine Learning for Ecological Sustainability

2022
Among the most pressing issues in the world today is the impact of globalization and energy consumption on the environment. Despite the growing regulatory framework to prevent ecological degradation, sustainability continues to be a problem. Machine learning can help with the transition toward a net-zero carbon society.
Vishnu S. Pendyala, Saritha Podali
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Sustainability of living machines

2018
Humankind is facing the reality of climate change and energy and resource transitions that could pose a major existential threat. Our future technological development must respond to these challenges. Artificial intelligence and robotics are making tremendous progress. However, in terms of power, energy, and materials consumptions the gap between these
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12. responsible consumption
surface roughness
13. climate action

7. clean energy
11. sustainability
sustainability

tool wear
sustainable manufacturing
minimum quantity lubrication