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Author

Muhammed Jawaad Zulqernine

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2 papers indexed here

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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

HIMEX is implemented as an automated state-transfer workflow in ABAQUS that switches from implicit to explicit analysis during PDFA, and leverages native implicit/explicit solvers and PDFA material models to significantly accelerate PDFA for composites.

Muhammed Jawaad Zulqernine, Shi-Yao Lin · 0 citations

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