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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Ijaz, Hassan
Coventry University
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2021Predictive Modelling and Multi-Objective Optimization of Surface Integrity Parameters in Sustainable Machining Processes of Magnesium Alloycitations
- 2018Fatigue Delamination Crack Growth in GFRP Composite Laminates: Mathematical Modelling and FE Simulationcitations
- 2018Fatigue Delamination Crack Growth in GFRP Composite Laminates: Mathematical Modelling and FE Simulationcitations
- 2018Numerical simulation of the effects of elastic anisotropy and grain size upon the machining of AA2024citations
- 2017Finite Element Analysis of Bend Test of Sandwich Structures Using Strain Energy Based Homogenization Methodcitations
- 2016A parametric sensitivity study on preforming simulations of woven composites using a hypoelastic computational modelcitations
- 2012Prediction of delamination crack growth in carbon/fiber epoxy composite laminates using a non-local cohesive zone modelingcitations
- 2012Design of tape wound composite cylindrical shells incorporating different failure criteria and winding kinematicscitations
- 2011Numerical modeling and simulation of delamination crack growth in CF/Epoxy composite laminates under cyclic loading using cohesive zone modelcitations
Places of action
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article
Predictive Modelling and Multi-Objective Optimization of Surface Integrity Parameters in Sustainable Machining Processes of Magnesium Alloy
Abstract
<jats:p>Magnesium alloys are widely used in numerous engineering applications owing to their superior structural characteristics. However, the machining of magnesium alloy is challenging because of its poor machinability characteristics. Therefore, this paper investigates the machining of magnesium alloys under different sustainable cooling conditions. The machining was performed by varying cutting velocity, feed rate, and depth of cut under dry and cryogenic cooling conditions. The primary focus of the paper is to develop a predictive model for surface roughness under different machining environments. The models developed were found to be in excellent agreement with experimental results, with only 0.3 to 1.6% error. Multi-objective optimization were also performed so that the best surface finish together with high material removal rate could be achieved. Furthermore, the various parameters of surface integrity (i.e., surface roughness, micro-hardness, micro-structures, crystallite size, and lattice strain) were also investigated.</jats:p>