2 publications

• Published Subscription Original Research Special issue 20 Apr 2026

  Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites

  By Dillip Kumar Mohanta, M Khaleel Ullah Khan, Subhajeet Das, Nitish Kumar Choudhary, Rahat Naz, Vishwesh Nagamalla

  Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article →

• Published Subscription Original Research 7 Jun 2025

  ML-Based Predictive Modeling of Mechanical Properties in 3D-Printed Polymer Composites for IoT Applications

  By Nagaraj G, Dillip Kumar Mohanta, Rajvardhan Jigyasu, P. Vidyullatha, Joshila Grace L K, Muthukumar Subramanian

  Abstract: This study aims to develop an interpretable and high-accuracy machine learning framework for predicting the mechanical properties of 3D-printed fiber-reinforced polymer composites, with a focus on structure–property correlations relevant to polymer processing and functional performance. Composite specimens based on PLA and ABS matrices were fabricated using FDM with varying weight fractions (5–20 wt%) of carbon and glass fibers. Standardized mechanical testing (ASTM D638, D256, D790) was performed to evaluate tensile …

  Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 61–78 Read article →