| 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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Suresh, R.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2024Optimization of Surface Finish of Plasma Metal Deposited Stainless Steel 316L Parts by Utilization of Plasma Beam Remelting (PBR) and Taguchi Methodology
- 2024Study on tool wears in turning Al2219, unhybrid and hybrid metal matrix nano composites by CCD design of experimentcitations
- 2023Investigation on Microstructure, Hardness, Wear behavior and Fracture Surface Analysis of Strontium (Sr) and Calcium (Ca) Content A357 Modified Alloy by Statistical Techniquecitations
- 2023Thermal and mechanical characterization of polypropylene/basalt fiber/ethylene propylene diene monomer rubber hybrid compositecitations
- 2023Investigation on Surface Roughness and MRR in WEDM of Titanium Grade 7 (Ti-0.15Pd) Alloy using Statistical Techniquescitations
- 2023Tribological and Hardness Analyses of Friction-Stir-Processed Composites Using the Taguchi Approachcitations
- 2022Effect of Process Parameters on Surface Roughness, Thrust Force and Tool Wear of Coated HSS Tool during Drilling of Customized EN8 Alloy
- 2022Investigation on Microstructure and Tensile Fractography of RE Oxides (CeO2/Y2O3) Reinforced AZ91D Magnesium Matrix Compositescitations
- 2021Synthesis and mechanical characterization of Si3N4 reinforced copper-tin matrix compositescitations
- 2021Study on Micro - Nano Sized Al2O3 Particles on Mechanical, Wear and Fracture Behavior of Al7075 Metal Matrix Compositescitations
- 2021Investigations on tensile fractography and wear characteristics of Al7075-Al2O3-SiC Hybrid Metal Matrix Composites routed through liquid metallurgical techniquescitations
- 2020Comparative study on dry sliding wear behavior of mono (Al2219/B4C) and hybrid (Al2219/B4C/Gr) metal matrix composites using statistical techniquecitations
- 2020The Effect of Holding Time of Deep Cryogenic-Treated AISI D3 Cutting Tool on Machinability of Low Carbon Steels Using Taguchi’s Techniquecitations
- 2020Machinability of Zirconia Toughened Mica Glass Ceramics for Dental Restorations
- 2020Experimental studies of different quenching media on mechanical and wear behavior of Al7075/SiC/Al2O3 hybrid compositescitations
- 2019Effect of Process Parameters on Cutting Forces and Surface Roughness in Machining of DSS 2205 Using Taguchi’s Approachcitations
- 2019Processing of Nickel-Copper Coated Carbon Fibre Rods Reinforced Al6082/4% Al<sub>2</sub>O<sub>3</sub>/2%Gr Matrix Composites
- 2017Investigations on Machinability Characteristics of Hardened AISI H13 Steel With Multilayer Coated Carbide Tool Using Statistical Techniques
Places of action
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article
Optimization of Surface Finish of Plasma Metal Deposited Stainless Steel 316L Parts by Utilization of Plasma Beam Remelting (PBR) and Taguchi Methodology
Abstract
<jats:p>The study aimed to optimize the Plasma Beam Polishing process for 316L stainless steel components to reduce anisotropy and poor surface roughness using statistical analysis. An experimental design investigated the impacts of managing factors on surface roughness, with scanning speed having the ultimate impact, followed by beam power and energy density. For lower values of plasma energy density and scanning speed, and a focal location without changes on the metal surface, there was a strong tendency for the estimated Ra to drop with increasing laser power. The process parameters were changed throughout a broad range of values, making it challenging to model the dependent variable across the whole range of experimental trials. The study supports the potential of PBP as a post-processing method for additive manufacturing components.</jats:p>