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Mozammel Mia

Researcher at Imperial College London

Publications -  148
Citations -  6848

Mozammel Mia is an academic researcher from Imperial College London. The author has contributed to research in topics: Machining & Surface roughness. The author has an hindex of 38, co-authored 148 publications receiving 3967 citations. Previous affiliations of Mozammel Mia include Ahsanullah University of Science and Technology.

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Surface modification for osseointegration of Ti6Al4V ELI using powder mixed sinking EDM

TL;DR: The present study focuses on the modification of the surface of Titanium (α+β) ELI medical grade alloy using powder-mixed electric discharge machining (PMEDM) and reveals nano-porosity (50-200 nm) which enhances osseointegration due to the absorption of proteins especially collagen to the surface.
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Selection of an ideal MQL-assisted milling condition: an NSGA-II-coupled TOPSIS approach for improving machinability of Inconel 690

TL;DR: Considering the benefits of minimum quantity lubrication (MQL) and vegetable oil synergy, a two-stage computational approach was adopted in this article to determine the best possible sequence of MQL milling parameters of Inconel 690 using castor oil as a lubricant.
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Application of hybrid nature-inspired algorithm: Single and bi-objective constrained optimization of magnetic abrasive finishing process parameters

TL;DR: In this article, the authors investigated the optimization of the magnetic abrasive finishing (MAF) of brass using a hybrid nature inspired algorithm (particle swarm optimization (PSO) coupled with firefly algorithm (FA)).
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Multi-objective optimization of surface roughness, thrust force, and torque produced by novel drill geometries using Taguchi-based GRA

TL;DR: In this paper, the design and fabrication of new drill geometry were performed to improve the hole-drilling performance, and the performance of the fabricated drill was judged with regard to surface roughness, thrust force, and drilling torque.
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Investigations on Surface Roughness and Tool Wear Characteristics in Micro-Turning of Ti-6Al-4V Alloy.

TL;DR: Two important machining indices, such as surface roughness and material removal rate, were simultaneously optimized in the micro-turning of a Ti6Al4V alloy and the overall results depict that the feed rate is the prominent factor that significantly affects the responses in micro- turning operation.