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Artificial Intelligence for Monitoring and Control of Metal Additive Manufacturing

  • Masinelli G
  • Shevchik S
  • Pandiyan V
  • et al.
Springer International Publishing, (2021), 205-220
DOI: 10.1007/978-3-030-54334-1_15
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Abstract

Quality monitoring in Additive Manufacturing (AM) is currently mostly based on temperature measurements of the process zone or on layer/piecewise high-resolution surface imaging. To this aim, various sensors, such as pyrometers, photodiodes, and matrix CCD detectors,...

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Masinelli, G., Shevchik, S. A., Pandiyan, V., Quang-Le, T., & Wasmer, K. (2021). Artificial Intelligence for Monitoring and Control of Metal Additive Manufacturing. In Industrializing Additive Manufacturing (pp. 205–220). Springer International Publishing. https://doi.org/10.1007/978-3-030-54334-1_15

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