| 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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Senthilkumar, V.
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (10/10 displayed)
- 2023Thermal Adsorption and Corrosion Characteristic Study of Copper Hybrid Nanocomposite Synthesized by Powder Metallurgy Routecitations
- 2021EFFECTS OF PARTICLE SIZE AND SINTERING TEMPERATURE ON SUPERELASTICITY BEHAVIOR OF NiTi SHAPE MEMORY ALLOY USING NANOINDENTATIONcitations
- 2021Generative Design and Topology Optimization of Analysis and Repair Work of Industrial Robot Arm Manufactured Using Additive Manufacturing Technologycitations
- 2014Modelling and Analysis of Electrical Discharge Alloying through Taguchi Techniquecitations
- 2014Development of carbide intermetallic layer by electric discharge alloying on AISI-D2 tool steel and its wear resistancecitations
- 2012Mathematical Modeling of Machining Parameters in Electrical Discharge Machining with Cu-B<sub>4</sub>C Composite Electrodecitations
- 2012Prediction of flow stress during hot deformation of MA'ed hybrid aluminium nanocomposite employing artificial neural network and Arrhenius constitutive modelcitations
- 2011Constitutive Modeling for the Prediction of Peak Stress in Hot Deformation Processing of Al Alloy Based Nanocompositecitations
- 2008Influence of titanium carbide particles addition on the forging behaviour of powder metallurgy composite steelscitations
- 2007Some Aspects on Hot Forging Features of P/M Sintered High-Strength Titanium Carbide Composite Steel Preforms Under Different Stress State Conditionscitations
Places of action
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article
Generative Design and Topology Optimization of Analysis and Repair Work of Industrial Robot Arm Manufactured Using Additive Manufacturing Technology
Abstract
<jats:title>Abstract</jats:title><jats:p>Today’s industrial robots work in a wide range of industries, the industrial robots are developed to perform operations such as pick and place, manufacturing assembly line, welding work, metal forging, and painting operations. The constraints of available robots are in terms of structural complexity, more material in the body, over weightage, and space. To overcome the difficulties of the current scenario, the generative design and topology optimization based industrial robot arm is manufactured by Additive Manufacturing (AM) technology using the Powder Bed Fusion (PBF) process. The scope of the research is when the generatively designed robot arm getting crack or broken, the Direct Energy Deposition (DED) processes use to help the repair of the PBF parts. In the present research, studies were conducted on the topology optimized industrial robot arm using SolidWorks software, and to verify the significance of DED to extend requirements needed for PBF parts, sample parts were extended and their metallurgical characteristics, tensile properties, and hardness observed.</jats:p>