Jinoop Arackal Narayanan

About

Dr. Jinoop Arackal Narayanan is a leading researcher in advanced manufacturing, with a primary focus on laser-directed energy deposition (L-DED) additive manufacturing and intelligent process monitoring. His work bridges the gap between traditional manufacturing and Industry 4.0, particularly through the integration of deep learning for in-situ quality control. His most cited paper, "A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding" (2022, 49 citations), introduces a pioneering approach to real-time defect identification, significantly enhancing the reliability of metal additive manufacturing. He further advances the field with his work on "Intermittent adaptive trajectory planning for geometric defect correction in large-scale robotic L-DED" (2023, 12 citations), which addresses critical challenges in producing large, defect-free components. Dr. Narayanan’s contributions are vital for scaling additive manufacturing from prototyping to industrial production, particularly in aerospace and automotive sectors. His research not only improves process robustness but also reduces material waste and post-processing costs, marking him as a key innovator in smart, sustainable manufacturing.

Research Focus

Key Achievements

Top Papers

1. 1
   A deep-learning-based in-situ surface anomaly detection methodology for laser directed energy deposition via powder feeding

   49 citations · 2022
2. 2
   Intermittent adaptive trajectory planning for geometric defect correction in large-scale robotic laser directed energy deposition based additive manufacturing

   12 citations · 2023

Key Collaborators

Contact & Links