Results 291 to 300 of about 6,005,317 (331)

Machine Learning for Developing Sustainable Polymers

Chemistry – A European Journal
AbstractSustainable polymers from renewable resources have been gaining importance due to their recyclability and reduced environmental impact. However, their development through conventional trial‐and‐error methods remains inefficient and resource‐intensive.
Ziyu Huo, Xiaoyu Xie, Rong Tong
openaire   +2 more sources

Progress Toward Modeling and Optimization of Sustainable Machining Processes

, 2020
The topic of sustainable machining has in recent times emerged as a significant and impactful area of research focus as it directly deals with environmental health and protection, economic growth and prosperity, and societal wellbeing with greater ...
I. S. Jawahir, J. Schoop, Y. Kaynak, A. K. Balaji, R. Ghosh, T. Lu   +5 more
semanticscholar   +1 more source

Prediction and classification of tool wear and its state in sustainable machining of Bohler steel with different machine learning models

Measurement, 2023
M. Korkmaz, M. K. Gupta, M. Kuntoğlu, A. Patange, N. Ross, Hakan Yılmaz, Sumika Chauhan, Govind Vashishtha   +7 more
semanticscholar   +1 more source

Life cycle assessment of environmentally friendly initiatives for sustainable machining: A short review of current knowledge and a case study

Sustainable Materials and Technologies, 2022
Navneet Khanna, Jwalant Wadhwa, Anjali Pitroda, Prassan Shah, J. Schoop, M. Sarıkaya   +5 more
semanticscholar   +1 more source

Design for sustainability of agricultural machines

2013
Nowadays sustainability in the design and production of products and machines has taken on particular importance due to the global concern about the environmental impact introduced during their whole life cycle. Reduction in the use of raw materials and components, and the use of more energy efficient processes are not only desirable but also necessary
CASCINI, ALESSANDRO, MORA, CRISTINA, GAMBERI, MAURO, BORTOLINI, MARCO, ACCORSI, RICCARDO, MANZINI, RICCARDO   +5 more
openaire   +2 more sources

Sustainable Machining of Nanocomposites

2022
Ramesh Kumar Nayak, Mohan Kumar Pradhan, Ashok Kumar Sahoo   +2 more
openaire   +1 more source

Machine Learning for Ecological Sustainability.

The book, “Machine Learning for Ecological Sustainability”, establishes and explores the vital intersection between global ecological crises and advanced artificial intelligence. It begins by asserting that environmental sustainability is an urgent global imperative, detailing the systemic threats posed by climate change, pervasive pollution, rapid ...
openaire   +1 more source

Machine learning for a sustainable energy future

Chemical Communications
In this review, the potential role of machine learning in sustainable energy and SGDs is analyzed; energy forecasting, planning, renewable energy production and storage are covered and an extensive perspective on the future role of ML is provided.
Burcu Oral, Ahmet Coşgun, Aysegul Kilic, Damla Eroglu, M. Erdem Günay, Ramazan Yıldırım   +5 more
openaire   +2 more sources

Sustainable Abrasive Jet Machining

2022
Şenol Bayraktar, Cem Alparslan
openaire   +1 more source

Sustainable Machine Intelligence Journal

2023
openaire   +1 more source