Prediction of Machining Conditions from EDMed Surface Using CNN

Journal of the Korean Society for Precision Engineering (JKSPE) is devoted to publishing original research articles with high ethical standard on all aspects of precision engineering and manufacturing. Specifically, the journal focuses on articles related to improving the precision of machines and manufacturing processes through implementation of creative solutions that stem from advanced research using novel experimental methods, predictive modeling techniques, and rigorous analyses based on mechanical engineering or multidisciplinary approach. The expected outcomes of the knowledge disseminated from JKSPE are enhanced reliability, better motion precision, higher measurement accuracy, and sufficient reliability of precision systems, 한국정밀공학회지

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Publication Details

Journal
Journal of the Korean Society for Precision Engineering
Published
2024-11-01
DOI
https://doi.org/10.7736/jkspe.024.080
Citations
1
Primary Topic
Advanced Machining and Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.21

Funders

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article

Prediction of Machining Conditions from EDMed Surface Using CNN

Jae Yeon Kim, Ji Hyo Lee, Dae Bo Sim, Bo-Hyun Kim
1 citations
Journal of the Korean Society for Precision Engineering
Advanced Machining and Optimization Techniques
0.21
article

Prediction of Machining Conditions from EDMed Surface Using CNN

Jae Yeon Kim, Ji Hyo Lee, Dae Bo Sim, Bo-Hyun Kim
article en
1 citations

Abstract

Journal of the Korean Society for Precision Engineering (JKSPE) is devoted to publishing original research articles with high ethical standard on all aspects of precision engineering and manufacturing. Specifically, the journal focuses on articles related to improving the precision of machines and manufacturing processes through implementation of creative solutions that stem from advanced research using novel experimental methods, predictive modeling techniques, and rigorous analyses based on mechanical engineering or multidisciplinary approach. The expected outcomes of the knowledge disseminated from JKSPE are enhanced reliability, better motion precision, higher measurement accuracy, and sufficient reliability of precision systems, 한국정밀공학회지

Journal of the Korean Society for Precision EngineeringVol. 41(11)
National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Climate action
Openalex Percentile: Top 46%
Advanced Machining and Optimization Techniques
0.21
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Prediction of Machining Conditions from EDMed Surface Using CNN — Jae Yeon Kim, Ji Hyo Lee, et al. · Journal of the Korean Society for Precision Engineering (2024) | TGRS Research Map | TGRS