Process Optimization

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• Published Subscription Original Research 10 Oct 2026

  Machine Learning-Based Optimization of Additive Manufacturing with Improved Mechanical Performance: Development of Sustainable Thermoplastic Composites

  By L. Arulmozhiselvan, W. Nancy, B. Anni Princy, B. Bala Abirami, Satish Bojjawar, M. Rajasekaran, S. Lenin Preeshith

  Abstract: Additive manufacturing has successfully manufactured lightweight, programmable and geometrically complicated components. However, reliable mechanical performance and efficient use of resources remain hard. This paper presents a machine learning (ML) based approach to optimize additive fabrication of sustainable thermoplastic composites with enhanced mechanical characteristics. The suggested approach combines material composition, printing settings and process circumstances to forecast and optimize tensile strength, flexural strength, impact resistance and dimensional stability. The aim is …

  Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article →