What is he best known for?
The fields of study he is best known for:
- Mechanical engineering
- Composite material
- Aluminium
His primary areas of investigation include Machining, Surface roughness, Lubrication, Tool wear and Coolant.
His study in the field of Machinability is also linked to topics like Efficient energy use and Energy consumption.
His Machinability research is multidisciplinary, relying on both Process engineering and Superalloy.
His studies in Surface roughness integrate themes in fields like Taguchi methods and Mechanical engineering, Surface finish.
He has included themes like Hardened steel, Cutting tool and Lubricant in his Lubrication study.
His Tool wear research is under the purview of Metallurgy.
His most cited work include:
- Ecological trends in machining as a key factor in sustainable production – A review (112 citations)
- Prediction of surface roughness in hard turning under high pressure coolant using Artificial Neural Network (105 citations)
- An approach to cleaner production for machining hardened steel using different cooling-lubrication conditions (99 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Machining, Surface roughness, Lubrication, Tool wear and Metallurgy.
His studies deal with areas such as Composite material and Process engineering as well as Machining.
His Surface roughness research integrates issues from Taguchi methods, Mechanical engineering, Surface finish, Coolant and Hardened steel.
His research in Lubrication intersects with topics in Titanium alloy and Lubricant.
His Tool wear study combines topics in areas such as Inconel and Cutting fluid.
His Machinability study integrates concerns from other disciplines, such as Tribology and Superalloy.
He most often published in these fields:
- Machining (61.27%)
- Surface roughness (45.77%)
- Lubrication (37.32%)
What were the highlights of his more recent work (between 2020-2021)?
- Machining (61.27%)
- Lubrication (37.32%)
- Composite material (26.06%)
In recent papers he was focusing on the following fields of study:
His main research concerns Machining, Lubrication, Composite material, Surface roughness and Tool wear.
His Machining study is concerned with the larger field of Metallurgy.
When carried out as part of a general Metallurgy research project, his work on Alloy and Ti 6al 4v is frequently linked to work in Nanofluid, therefore connecting diverse disciplines of study.
Mozammel Mia has researched Lubrication in several fields, including Particle swarm optimization and Surface integrity.
His Surface roughness research also works with subjects such as
- Carbide that connect with fields like Hardness,
- Drilling most often made with reference to Coolant.
His study in Tool wear is interdisciplinary in nature, drawing from both Volume fraction, Indentation hardness, Scanning electron microscope and Surface-area-to-volume ratio.
Between 2020 and 2021, his most popular works were:
- Eco-Friendly Cutting Fluids in Minimum Quantity Lubrication Assisted Machining: A Review on the Perception of Sustainable Manufacturing (61 citations)
- Eco-Friendly Cutting Fluids in Minimum Quantity Lubrication Assisted Machining: A Review on the Perception of Sustainable Manufacturing (61 citations)
- Experimental characterisation of the performance of hybrid cryo-lubrication assisted turning of Ti–6Al–4V alloy (24 citations)
In his most recent research, the most cited papers focused on:
- Mechanical engineering
- Composite material
- Aluminium
Mozammel Mia mainly investigates Machining, Lubrication, Sustainability, Tool wear and Surface roughness.
His study brings together the fields of Machinability and Lubrication.
His Sustainability study incorporates themes from Efficient energy use, Environmentally friendly and Sustainable development.
His Tool wear research entails a greater understanding of Metallurgy.
His Surface roughness research is multidisciplinary, incorporating elements of Inconel, Environmental engineering and Coolant.
The concepts of his Coolant study are interwoven with issues in Surface finish, Composite material, Scanning electron microscope and Drilling.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
