| 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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Boruah, Dibakor
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Publications (7/7 displayed)
- 2024Deposition behaviour of FeCrMnNiCo coatings deposited using mechanically alloyed powder: Comparing Cold Spray, HVOF, HVAF, and Laser Cladding processescitations
- 2022Effect of Post-Deposition Thermal Treatments on Tensile Properties of Cold Sprayed Ti6Al4Vcitations
- 2020Mechanical characterization and microstructural investigation of micro plasma arc welded AISI 316L thin stainless steel sheetscitations
- 2019Multi-output response optimization for overall enhancement of mechanical characteristic using utility approach for AISI 316L austenitic stainless steel using microplasma arc weldingcitations
- 2018An analytical method for predicting residual stress distribution in selective laser melted/sintered alloyscitations
- 2016Preparation effect of mould systems on microstructure and mechanical properties of spheroidised graphite iron
- 2016Preparation effect of mould systems on microstructure and mechanical properties of spheroidised graphite iron
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document
An analytical method for predicting residual stress distribution in selective laser melted/sintered alloys
Abstract
Residual stresses that build up during selective laser melting or sintering (SLM/SLS) process can influence the dimensional accuracy, mechanical properties and overall in-service performance of SLM/SLS parts. Therefore, it is crucial to understand, predict and effectively control the residual stress distribution in a part. The present study aims at developing an analytical model to predict the distribution of residual stresses in the part-substrate system. The proposed model demonstrates how residual stresses build up in the substrate and previously deposited layers are related to the stress induced by a newly deposited layer, considering the stress and moment equilibrium requirements. The model has been validated by published experimental measurements and verified with existing analytical/numerical models. The outcomes of the study suggest that the proposed analytical model is applicable for quick estimation of residual stress distribution and the order of magnitude. Also, it provides an evaluation tool for SLM/SLS process parameter design.