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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Mechanical and Production Engineering




Mr. Rezaul Karim Nayeem



Designation: Assistant Professor

Email: rknayeem.mpe@aust.edu

Office Extension:

Room No: 8A01 (5)

Google Scholar Profile

Orcid Profile



Research Interests

  • Machining Parameter Optimization
  • Hybrid Composite
  • Machining of MMC & PMC
  • Machining of Alloy
  • Hard turning

Educational Background

  • Master of Science (MSc), (IPE), BUET
  • Bachelor of Science (BSc), (IPE), AUST

Honors and Achievements

Publications

  • Exploring lean manufacturing drivers for enhancing circular economy performance in the pharmaceutical industry: a Bayesian best–worst approach, International Journal of Industrial Engineering and Operations Management, 2024
  • Surface roughness and cutting force in turning of alkaline-treated banana fibre-reinforced polymer composite: Compressed air cutting, Journal of Reinforced Plastics and Composites, 2024
  • Mechanical characterization of mulberry silk reinforced hybrid composite for enhanced application, Results in Materials, 2024
  • Machinability investigation of natural fibers reinforced polymer matrix composite under drilling: Leveraging machine learning in bioengineering applications, AIP Advances, 2024
  • Assessing the barriers to lean manufacturing adoption in the furniture industry of Bangladesh: a fuzzy-DEMATEL study, International Journal of Industrial Engineering and Operations Management, 2023
  • Turning SKD 11 Hardened Steel: An Experimental Study of Surface Roughness and Material Removal Rate Using Taguchi Method, Advances in Materials Science and Engineering, 2023
  • Investigation of Surface Roughness in MQL Aided Turning of AlCuZr Alloy using PCD Tool, Intelligent Manufacturing and Energy Sustainability, 2021
  • Environmental, Economical and Technological Analysis of MQL-Assisted Machining of Al-Mg-Zr Alloy Using PCD Tool, Sustainability, 2021
  • Study of Surface Roughness and MRR in Turning of SiC Reinforced Al Alloy Composite Using Taguchi Design Method, ANN and PCA Approach under MQL Cutting Condition, Advanced Materials Research, 2020
  • Experimental Investigation of the effect of Cutting Parameters on Cutting Temperature using RSM and ANN in Turning AISI 1040, Global Scientific Journal, 2018
  • Predictive Modeling of Surface Roughness in MQL assisted Turning of SiC-Al Alloy Composites using Artificial Neural Network and Adaptive Neuro Fuzzy Inference System, Journal of Advanced Research in Manufacturing, Material Science and Metallurgical Engineering, 2018
  • Optimization of Machining Parameter for Surface Roughness in Turning GFRP Composite Using RSM-GA Approach, American Journal of Materials Science and Engineering, 2018