M
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.
Papers
More filters
Journal ArticleDOI
Surface modification for osseointegration of Ti6Al4V ELI using powder mixed sinking EDM
Mohammad Pervez Mughal,Muhammad Umar Farooq,Muhammad Umar Farooq,Jabir Mumtaz,Mozammel Mia,Madiha Shareef,Mahnoor Javed,Muhammad Jamil,Catalin I. Pruncu,Catalin I. Pruncu +9 more
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.
Journal ArticleDOI
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.
Journal ArticleDOI
Application of hybrid nature-inspired algorithm: Single and bi-objective constrained optimization of magnetic abrasive finishing process parameters
Atul Babbar,Chander Prakash,Sunpreet Singh,Munish Kumar Gupta,Mozammel Mia,Catalin I. Pruncu,Catalin I. Pruncu +6 more
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)).
Journal ArticleDOI
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.
Journal ArticleDOI
Investigations on Surface Roughness and Tool Wear Characteristics in Micro-Turning of Ti-6Al-4V Alloy.
Kubilay Aslantaş,Mohd Danish,Ahmet Hasçelik,Mozammel Mia,Munish Kumar Gupta,Turnad Lenggo Ginta,Hassan Ijaz +6 more
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.