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Author

Muhammed Jawaad Zulqernine

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Conference

Predictive Modeling for Mechanical Strength in 3D-Printed ABS Polymer Specimens Using Machine Learning Algorithms

The advancement of machine learning (ML) offers significant potential for optimizing mechanical properties in 3D-printed polymer materials, which are widely used in industries requiring durable and precise components. This study focuses on developing predictive models for estimating tensile strength in 3D-printed acryl...

Tanvir Ahmed Shanto, M. Shahriar, Robert Taylor et al. · 0 citations
Sep 2026

Accelerating Computational Damage Analysis of Composites with a Hybrid Implicit–Explicit Approach

Composite materials and structures are widely used in the aerospace industry. Computational progressive damage and failure analysis (PDFA) is critical to composite structural safety certification but remains computationally heavy, often requiring hours to weeks to yield valid damage predictions. In this paper, we propo...

Muhammed Jawaad Zulqernine, Shi-Yao Lin · 0 citations

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