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Study and Application of Machine Learning Methods in Modern Additive Manufacturing Processes

Study and Application of Machine Learning Methods in Modern Additive Manufacturing Processes

Ranjit Barua, Sudipto Datta, Pallab Datta, Amit Roychowdhury
Copyright: © 2022 |Pages: 21
ISBN13: 9781799885160|ISBN10: 179988516X|ISBN13 Softcover: 9781799885177|EISBN13: 9781799885184
DOI: 10.4018/978-1-7998-8516-0.ch004
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MLA

Barua, Ranjit, et al. "Study and Application of Machine Learning Methods in Modern Additive Manufacturing Processes." Applications of Artificial Intelligence in Additive Manufacturing, edited by Sachin Salunkhe, et al., IGI Global, 2022, pp. 75-95. https://doi.org/10.4018/978-1-7998-8516-0.ch004

APA

Barua, R., Datta, S., Datta, P., & Roychowdhury, A. (2022). Study and Application of Machine Learning Methods in Modern Additive Manufacturing Processes. In S. Salunkhe, H. Hussein, & J. Davim (Eds.), Applications of Artificial Intelligence in Additive Manufacturing (pp. 75-95). IGI Global. https://doi.org/10.4018/978-1-7998-8516-0.ch004

Chicago

Barua, Ranjit, et al. "Study and Application of Machine Learning Methods in Modern Additive Manufacturing Processes." In Applications of Artificial Intelligence in Additive Manufacturing, edited by Sachin Salunkhe, Hussein Mohammed Abdel Moneam Hussein, and J. Paulo Davim, 75-95. Hershey, PA: IGI Global, 2022. https://doi.org/10.4018/978-1-7998-8516-0.ch004

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Abstract

Additive manufacturing (AM) make simpler the manufacturing of difficult geometric structures. Its possibility has quickly prolonged from the manufacture of pre-fabrication conception replicas to the making of finish practice portions driving the essential for superior part feature guarantee in the additively fabricated products. Machine learning (ML) is one of the encouraging methods that can be practiced to succeed in this aim. A modern study in this arena contains the procedure of managed and unconfirmed ML algorithms for excellent control and forecast of mechanical characteristics of AM products. This chapter describes the development of applying machine learning (ML) to numerous aspects of the additive manufacturing whole chain, counting model design, and quality evaluation. Present challenges in applying machine learning (ML) to additive manufacturing and possible solutions for these problems are then defined. Upcoming trends are planned in order to deliver a general discussion of this additive manufacturing area.

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