Event
MSE Seminar: Dr. Yash Parikh, EOS North America
Wednesday, March 25, 2026
3:30 p.m.
Room 2110 Chemical and Nuclear Engineering Building
Sherri Tatum
301-405-5240
statum12@umd.edu
“Accelerating LPBF Qualification: Integrating Process Monitoring, AI, & Closed-Loop Control”
Abstract: Accelerating the qualification of Laser Powder Bed Fusion (LPBF) components for serial production requires innovative approaches beyond extensive empirical testing. In-situ process monitoring (ISPM) offers a powerful means to detect and characterize process deviations in real-time, providing valuable insights into process stability. By examining identical parts and parts having systematic cross-section variations printed using Ti-6Al-4V alloy, we first aim to understand the printability domain influencing in-situ sensor signals to minimize printing defects and maximize density. Next, we investigate the correlation between these in-situ signatures and resulting microstructural characteristics, which are affected by thermal history, depending on part dimensions. Integration of Closed Loop Control (CLC) for real-time thermal management and anomaly mitigation will also be considered, which can impact both process stability and resulting microstructure. The goal is to establish a data-driven framework that leverages ISPM, potentially integrated with machine learning (ML), to predict microstructural features and mechanical properties, thereby reducing reliance on time-consuming and resource-intensive post-build testing and accelerating qualifications.
Bio: Dr. Yash Parikh is a Process Engineering Consultant at EOS North America, where he acts as a strategic bridge between academia and industry to serve as a thought leader in Additive Manufacturing (AM). With over a decade of experience, he spearheads initiatives to accelerate the qualification of Laser Powder Bed Fusion (LPBF) systems by translating fundamental research into scalable production. His work revolves around advancing process repeatability via in-situ monitoring to solve complex challenges in material reliability and expeditionary manufacturing. A proven research leader, Dr. Parikh has secured over $5 million in funding as PI and Co-PI from agencies including AFRL, ONR, America Makes, and LIFT, and has delivered over 30 invited lectures globally.
Prior to joining EOS, Dr. Parikh advanced AI-enabled AM frameworks as a Postdoctoral Research Associate at Carnegie Mellon University. He holds a Ph.D. in Mechanical Engineering from Texas A&M University, where he was a Pathways to the Doctorate Fellow, a Master’s in Computer Integrated Manufacturing (University First Rank), and a Bachelor’s in Mechanical Engineering (First Class with Distinction). Dr. Parikh actively shapes the future of the field as a scientific advisory board member, a session organizer for major international conferences, and a leader in standards development with ASTM, SAE, and SME. He serves as a Guest Editor for the Nature Partner Journal (NPJ) and combines technical expertise with strategic leadership, holding a DeBakey Executive Leadership Certificate and a Lean Six Sigma Green Belt. Deeply committed to STEM workforce development, he has mentored over 2000 emerging engineers, earning recognition including the Bednarz CIRTL and Research Leadership awards.
