Minhazur Rahman
Arizona State University, The University of Texas at Arlington Research Institute, The University of Texas at Arlington, Technical University of Munich
0000-0002-3388-4557
About
Minhazur Rahman joined ASU in 2024 as a Postdoctoral Research Scholar in the School for Engineering of Matter, Transport and Energy (SEMTE). His research focuses on modeling and predicting damages in fiber reinforced composites, adhesive bonded composite laminates, surface and material characterizations of polymer composites, NDE of bonded composite laminates, NDE data driven failure prediction, composite manufacturing process simulation, etc.
He has a PhD in Mechanical Engineering from University of Texas at Arlington (UTA) working at Material State Awareness and Sustainability (MSAS) lab in UT Arlington Research Institute (UTARI). He received a Master of Science degree in Aerospace Engineering, jointly awarded by Nanyang Technological University (NTU) and Technical University of Munich (TUM). Where his research focused on improving upon carbon fiber preform techniques and modeling material behavior of carbon fiber preforms under compression, for resin transfer molding. Prior to that, he received his Bachelor of Science degree in Mechanical Engineering from Chittagong University of Engineering and Technology (CUET).
Employment
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Arizona State University Postdoctoral Research Scholar2024 - Present
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The University of Texas at Arlington Research Institute Research Assistant2020 - 2024
Education
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The University of Texas at Arlington Doctor of Philosophy in Mechanical Engineering2020 - Present
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Technical University of Munich Master of Science in Aerospace Engineering2017 - 2019
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Chittagong University of Engineering and Technology Bachelor of Science in Mechanical Engineering2011 - 2015
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American Chemical Society ACS Reviewer Lab Certificate of Completion
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Non-destructive adhesive cure assessment in carbon fiber reinforced composites using dielectric spectroscopy Save
- Fast and accurate prediction of cure quality and mechanical performance in fiber‐reinforced polymer composite using dielectric variables and machine learning Save
- A multi-parameter approach to predicting adhesive bond strength in carbon fiber reinforced composites through surface and dielectric characterization Save
- Effects of Different Surface Characteristics on the Fracto-emission of Carbon Fiber Reinforced Composite Adhesive Bond Failures Save
- Mechanical and Dielectric Modeling of Adhesive Bonded Fiber Reinforced Composite Single Lap Joints Save
- Prepreg age monitoring and qualitative prediction of mechanical performance of composite using dielectric state variables Save
- The Effect of Plasma Treatment on The Cure Behavior of Out-of-Life Prepregs and An Investigation of The Mechanical Properties of Composite Parts Manufactured from Plasma-Treated Prepregs Save
- Damage Assessment of Glass Fiber Composites using Dielectric Spectroscopy and Thermally Stimulated Depolarization Current Save
- EFFECTS OF SURFACE HETEROGENEITY ON WORK OF ADHESION OF CARBON FIBER REINFORCED COMPOSITES Save
- Effects of surface characteristics on mechanical and dielectric properties of adhesively bonded carbon fiber composites Save