| People | Locations | Statistics |
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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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Pruncu, Catalin I.
University of Strathclyde
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (28/28 displayed)
- 2023Tribological performance of TiB2-graphene Al 7075 hybrid composite processed through squeeze casting: At room and high temperaturecitations
- 2022Revealing the compressive and flow properties of novel bone scaffold structure manufactured by selective laser sintering techniquecitations
- 2022An insight into the effect surface morphology, processing, and lubricating conditions on tribological properties of Ti6Al4V and UHMWPE pairscitations
- 2022Effect of stacking sequence of fibre metal laminates with carbon fibre reinforced composites on mechanical attributescitations
- 2021Investigations on melt flow rate and tensile behaviour of single, double and triple sized copper reinforced thermo-plastic compositescitations
- 2021An experimental insight of friction stir welding of dissimilar AA 6061/Mg AZ 31 B jointscitations
- 2021A comparative numerical analysis on the effect of welding consumables on the ballistic resistance of SMAW joints of armor steelcitations
- 2021Surface modification for osseointegration of Ti6Al4V ELI using powder mixed sinking EDMcitations
- 2021Parametric analysis of turning HSLA steel under minimum quantity lubrication (MQL) and nanofluids-based minimum quantity lubrication (NF-MQL)citations
- 2021A detailed machinability assessment of DC53 steel for die and mold industry through wire electric discharge machiningcitations
- 2021Multi-objective optimization of kerf-taper and surface-roughness quality characteristics for cutting-operation on coir and carbon fibre reinforced epoxy hybrid polymeric composites during CO2-pulsed laser-cutting using RSMcitations
- 2021Thermal investigation of a solar box-type cooker with nanocomposite phase change materials using flexible thermographycitations
- 2021Environmental, economical and technological Analysis of MQL assisted machining of Al-Mg-Zr Alloy using PCD toolcitations
- 2021Optimal design based on fabricated SiC/B4C/porcelain filled aluminium alloy matrix composite using hybrid AHP/CRITIC-COPRAS approachcitations
- 2021The benefits of k-Carrageenan-gelatin hybrid composite coating on the medical grade stainless steel (SS304) used as anticorrosive barriercitations
- 2021Effect of different lubricating environment on the tribological performance of CNT filled glass reinforced polymer compositecitations
- 2021Effect of deep cryogenic treatment on corrosion behavior of AISI H13 die steelcitations
- 2021Influence of B4C and industrial waste fly ash reinforcement particles on the micro structural characteristics and mechanical behavior of aluminium (Al–Mg–Si-T6) hybrid metal matrix compositecitations
- 2021An improvement in drilling of SiCp/glass fiber-reinforced polymer matrix composites using response surface methodology and multi-objective particle swarm optimizationcitations
- 2021Experimental investigation and multi-response optimization of machinability of AA5005H34 using composite desirability coupled with PCAcitations
- 2021Revealing the WEDM process parameters for the machining of pure and heat-treated titanium (Ti-6Al-4V) alloycitations
- 2020Comparative study on the mechanical, tribological, morphological and structural properties of vortex casting processed, Al-SiC-Cr hybrid metal matrix composites for high strength wear-resistant applicationscitations
- 2020Optimization of WEDM for precise machining of novel developed Al6061-7.5% SiC squeeze casted compositecitations
- 2020Current global scenario of sputtered deposited NiTi smart systemscitations
- 2020Investigating the influence of WEDM process parameters in machining of hybrid aluminum compositescitations
- 2020A comprehensive analysis of the effect of graphene-based dielectric for sustainable electric discharge machining of Ti-6Al-4Vcitations
- 2019Evaluation of Copper-Based Alloy (C93200) Composites Reinforced with Marble Dust Developed by Stir Casting under Vacuum Environmentcitations
- 2017The influence of variations of geometrical parameters on the notching stress intensity factors of cylindrical shellscitations
Places of action
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article
Environmental, economical and technological Analysis of MQL assisted machining of Al-Mg-Zr Alloy using PCD tool
Abstract
<p>Clean technological machining operations can improve traditional methods’ environmental, economic, and technical viability, resulting in sustainability, compatibility, and human-centered machining. This, this work focuses on sustainable machining of Al-Mg-Zr alloy with minimum quantity lubricant (MQL)-assisted machining using a polycrystalline diamond (PCD) tool. The effect of various process parameters on the surface roughness and cutting temperature were analyzed. The Taguchi L<sub>25</sub> orthogonal array-based experimental design has been utilized. Experiments have been carried out in the MQL environment, and pressure was maintained at 8 bar. The multiple responses were optimized using desirability function analysis (DFA). Analysis of variance (ANOVA) shows that cutting speed and depth of cut are the most prominent factors for surface roughness and cutting temperature. Therefore, the DFA suggested that, to attain reasonable response values, a lower to moderate value of depth of cut, cutting speed and feed rate are appreciable. An artificial neural network (ANN) model with four different learning algorithms was used to predict the surface roughness and temperature. Apart from this, to address the sustainability aspect, life cycle assessment (LCA) of MQL-assisted and dry machining has been carried out. Energy consumption, CO<sub>2</sub> emissions, and processing time have been determined for MQL-assisted and dry machining. The results showed that MQL-machining required a very nominal amount of cutting fluid, which produced a smaller carbon footprint. Moreover, very little energy consumption is required in MQL-machining to achieve high material removal and very low tool change.</p>