![]() ![]() ![]() Correlations between process measurements, process parameter settings, and quality metrics to date have been primarily qualitative. In-process sensing technologies have primarily focused on monitoring melt pool signatures, either from a Lagrangian reference frame that follows the focal point of the laser or from a fixed Eulerian reference frame. Though many powder characterization techniques have been developed, there is a need for standardization of methods most relevant to additive manufacturing. ![]() Understanding the impact of feed powder characteristics remains a challenge. ![]() The SLM process itself presents significant challenges as over 50 different process input variables impact the characteristics of the finished part. The current state of the art of such process monitoring technology is reviewed in this paper. In order for this technology to see more widespread use as a production modality, especially in heavily regulated industries such as aerospace and medical device manufacturing, there is a need for robust process monitoring and control capabilities to be developed that reduce process variation and ensure quality. Additive manufacturing and specifically metal selective laser melting (SLM) processes are rapidly being industrialized. ![]()
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May 2023
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