| 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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Ghabezi, Pouyan
Ollscoil na Gaillimhe – University of Galway
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (8/8 displayed)
- 2022Defect evaluation of the honeycomb structures formed during the drilling processcitations
- 2022Mechanical behavior and long-term life prediction of carbon/epoxy and glass/epoxy composite laminates under artificial seawater environmentcitations
- 2022Recovery of Particle Reinforced Composite 3D Printing Filament from Recycled Industrial Polypropylene and Glass Fibre Waste
- 2022Hygrothermal deterioration in carbon/epoxy and glass/epoxy composite laminates aged in marine-based environment (degradation mechanism, mechanical and physicochemical properties)citations
- 2022Indentation characterization of glass/epoxy and carbon/epoxy composite samples aged in artificial salt water at elevated temperaturecitations
- 2015Optimization of drilling process on corrugated core sandwich panels
- 2014THE EFFECTS OF MILLING PARAMETERS ON SURFACE ROUGHNESS OF STAINLESS STEEL X22 CR MO V 12 1
- 2012Mechanical Behavior of Quasi-sinusoidal Corrugated Composite sheets
Places of action
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document
THE EFFECTS OF MILLING PARAMETERS ON SURFACE ROUGHNESS OF STAINLESS STEEL X22 CR MO V 12 1
Abstract
Stainless Steels have several uses in different industries and include an extensive area of steels, and because of many differences between mechanical and physical properties of different kinds of stainless steels, it is still necessary to study this type of steels. The surface roughness has been regarded by many researchers since many years ago, because of its high importance in the efficiency of final product, and also because it is considered as a main parameter in examining machinability of metals. In this paper, the experimental reports about optimizing roughness of final surface in milling stainless steel X22 Cr MoV 12 1, has been carried out using multiple regression technique and ANN(Artificial Neural network). The second order mathematical model has been attained from input parameters of process including cutting speed; Feed rate, radial and axial depths of cut. Each of these inputs of the research has been studied in 3 levels and for this purpose totally 81 experiments have been performed.