Arash Ebrahimi Araghizad, Faraz Tehranizadeh, Kemal Kilic, Erhan Budak
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引用次数: 0
摘要
1.BUDAK E., ALTINTAS Y., ARMAREGO E.J.A., 1996, Prediction of Milling Force Coefficients from Orthogonal Cutting Data, J. Manuf. Sci. Eng., 118/2, 216-224, https://doi.org/10.1115/1.2831....CrossRef Google Scholar
Smart Tool-Related Faults Monitoring System Using Process Simulation-Based Machine Learning Algorithms
1. BUDAK E., ALTINTAS Y., ARMAREGO E.J.A., 1996, Prediction of Milling Force Coefficients from Orthogonal Cutting Data, J. Manuf. Sci. Eng., 118/2, 216–224, https://doi.org/10.1115/1.2831.... CrossRef Google Scholar
期刊介绍：
ournal of Machine Engineering is a scientific journal devoted to current issues of design and manufacturing - aided by innovative computer techniques and state-of-the-art computer systems - of products which meet the demands of the current global market. It favours solutions harmonizing with the up-to-date manufacturing strategies, the quality requirements and the needs of design, planning, scheduling and production process management. The Journal'' s subject matter also covers the design and operation of high efficient, precision, process machines. The Journal is a continuator of Machine Engineering Publisher for five years. The Journal appears quarterly, with a circulation of 100 copies, with each issue devoted entirely to a different topic. The papers are carefully selected and reviewed by distinguished world famous scientists and practitioners. The authors of the publications are eminent specialists from all over the world and Poland. Journal of Machine Engineering provides the best assistance to factories and universities. It enables factories to solve their difficult problems and manufacture good products at a low cost and fast rate. It enables educators to update their teaching and scientists to deepen their knowledge and pursue their research in the right direction.
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