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Artificial Intelligence in Manufacturing Processes

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A Perspective on Artificial Intelligence in Manufacturing

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 436))

Abstract

A manufacturing process is defined as the use of one or more physical mechanisms to transform the shape and/or form and/or properties of a material. This chapter discusses AI topics, related to manufacturing processes. Initially, there is a short introduction to the main categories of manufacturing processes, namely, forming, deforming, removing, joining and material properties modification processes. Then, the chapter discusses the role of AI in supporting key activities, at process level, including (i) process monitoring and data processing, (ii) process modeling, optimization and control, (iii) fault diagnosis, tool wear prediction and remaining useful life estimation and (iv) process quality assessment and prediction. For each topic, the scope and the theoretical background are initially provided and then selected cases of AI applications are discussed. At the end of this chapter, both the impact and the limitations of AI at manufacturing process level are discussed.

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Authors and Affiliations

  1. Laboratory for Manufacturing Systems and Automation, University of Patras, Rion Patras, Greece

    George Chryssolouris

  2. Laboratory for Manufacturing Systems and Automation, University of Patras, Rion Patras, Greece

    Kosmas Alexopoulos

  3. Laboratory for Manufacturing Systems and Automation, University of Patras, Rion Patras, Greece

    Zoi Arkouli

Authors
  1. George Chryssolouris
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  2. Kosmas Alexopoulos
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  3. Zoi Arkouli
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Correspondence to George Chryssolouris .

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Chryssolouris, G., Alexopoulos, K., Arkouli, Z. (2023). Artificial Intelligence in Manufacturing Processes. In: A Perspective on Artificial Intelligence in Manufacturing. Studies in Systems, Decision and Control, vol 436. Springer, Cham. https://doi.org/10.1007/978-3-031-21828-6_2

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  • DOI: https://doi.org/10.1007/978-3-031-21828-6_2

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