Machine Learning-Based Prediction of Specific Energy Consumption for Cut-Off Grinding
Machine Learning-Based Prediction of Specific Energy Consumption for Cut-Off Grinding
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Cut-off operation is widely used in the manufacturing industry and is highly energy-intensive. Prediction of specific energy consumption (SEC) using data-driven models is a promising means to understand, analyze and reduce energy consumption for cut-off grinding. The present article aims to put forth a novel methodology to predict and validate the...
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Full title
Machine Learning-Based Prediction of Specific Energy Consumption for Cut-Off Grinding
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TN_cdi_doaj_primary_oai_doaj_org_article_3aeb30bac9174d1293b6b4a9ed0d87d5
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_3aeb30bac9174d1293b6b4a9ed0d87d5
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22197152
