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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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Reis, A.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023An ethics framework for social listening and infodemic managementcitations
- 2023A Review on Direct Laser Deposition of Inconel 625 and Inconel 625-Based Composites-Challenges and Prospectscitations
- 2023Adding Value to Secondary Aluminum Casting Alloys: A Review on Trends and Achievementscitations
- 2023A Predictive Methodology for Temperature, Heat Generation and Transfer in Gigacycle Fatigue Testingcitations
- 2023Infiltration of aluminum in 3D-printed metallic inserts
- 2022Finite Element Analysis of Distortions, Residual Stresses and Residual Strains in Laser Powder Bed Fusion-Produced Components
- 2022Automation of Property Acquisition of Single Track Depositions Manufactured through Direct Energy Depositioncitations
- 2022Thermal study of a cladding layer of Inconel 625 in Directed Energy Deposition (DED) process using a phase-field modelcitations
- 2020Smart Data Visualisation as a Stepping Stone for Industry 4.0-a Case Study in Investment Casting Industrycitations
- 2020Automatic Visual Inspection of Turbo Vanes produced by Investment Casting Processcitations
- 2019Fracture characterization of a cast aluminum alloy aiming machining simulationcitations
- 2019Mechanical characterization of the AlSi9Cu3 cast alloy under distinct stress states and thermal conditionscitations
- 2017Simulation Studies of Turning of Aluminium Cast Alloy Using PCD Toolscitations
- 2017Comparison Between Cemented Carbide and PCD Tools on Machinability of a High Silicon Aluminum Alloycitations
- 2016Laboratory performance of universal adhesive systems for luting CAD/CAM restorative materials
- 2016Development of a Flexible, Light Weight Structure, Adaptable to any Space through a Shape Shifting Featurecitations
- 2016Integrated thermomechanical model for forming of glass containerscitations
- 2012Damage Prediction in Incremental Forming by Using Lemaitre Damage Modelcitations
- 2012Custom Hip Prostheses by Integrating CAD and Casting Technology
- 2002Finite-element simulation and experimental validation of a plasticity model of texture and strain-induced anisotropy
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document
Simulation Studies of Turning of Aluminium Cast Alloy Using PCD Tools
Abstract
This study investigates the influence of cutting parameters on longitudinal turning of high Silicon cast aluminium alloy AlSi9Cu3 using PCD tools with and without chip breaker geometry. In order to build the 3D numerical model, the experimental and predicted cutting forces were used for inverse calibration of the Johnson-Cook material model which was implemented in DEFORMTM finite element software. A sensitivity analysis has been performed in order to obtain an acceptable prediction of the machining parameters such as chip geometry and cutting forces as well as to understand the influence of friction and mesh size effects in the predicted results. Results have shown a satisfactory correlation between experimental turning data and numerical estimates based on assumptions that have been taken for the material behaviour. © 2017 The Authors.