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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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Oniszczuk-Świercz, Dorota
Warsaw University of Technology
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2022Experimental Investigation and Optimization of Rough EDM of High-Thermal-Conductivity Tool Steel with a Thin-Walled Electrodecitations
- 2022Experimental Investigation of Technological Indicators and Surface Roughness of Hastelloy C-22 after Electrical Discharge Machining Using POCO Graphite Electrodescitations
- 2020Experimental investigation of influence wedm parameters on surface roughness and flatness deviationcitations
- 2019The Effects of Reduced Graphene Oxide Flakes in the Dielectric on Electrical Discharge Machiningcitations
- 2019Investigation of the Influence of Reduced Graphene Oxide Flakes in the Dielectric on Surface Characteristics and Material Removal Rate in EDMcitations
- 2018Optimization of machining parameters of electrical discharge machining tool steel 1.2713citations
- 2017Influence of electrical discharge pulse energy on the surface integrity of tool steel 1.2713
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document
Experimental investigation of influence wedm parameters on surface roughness and flatness deviation
Abstract
<p>Wire electrical discharge machining (EDM) is a modern technology that is widely used in the production of difficult to cut conductive materials. Stochastic nature of electrical discharges causing to difficult to identify the influence WEDM parameters on surface roughness and dimensional accuracy of machining parts. Predicting favorable machining conditions for the required surface finish and dimensional accuracy plays a key role in the process. Response surface methodology (RSM) was used to build empirical models on the influence of the discharge voltage VB, pulse interval SB, and workpiece height on the surface roughness (Ra) and the flatness deviation during the machining of tool steel X153CrMoV12. The conducted analysis of the material removal physics in relation to investigated parameters indicated potential sources of shape errors of cutting parts.</p>