During the Selective Laser Melting (SLM) process, the scanned layers are subjected to rapid thermal cycles. Steep temperature gradients generate residual stresses. Residual stresses can be detrimental to the proper functioning and the structural integrity of built parts. In this paper, the semi-destructive hole-drilling method has been used to measure the residual stresses on AISi10Mg parts after building, stress relieving and shot-peening, respectively. The outcomes have shown the presence, on the as-built components, of high tensile stresses that the usual post-processing operations are not able to minimize. The adopted method has proved to be a suitable tool to identify optimal process parameters for each step of the production cycle.

Experimental analysis of residual stresses on AlSi10Mg parts produced by means of Selective Laser Melting (SLM) / Salmi, Alessandro; Atzeni, Eleonora; Iuliano, Luca; Galati, Manuela. - ELETTRONICO. - (2017). (Intervento presentato al convegno 10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '16 tenutosi a Ischia (Naples), Italy nel 20-22 July 2016) [10.1016/j.procir.2016.06.030].

Experimental analysis of residual stresses on AlSi10Mg parts produced by means of Selective Laser Melting (SLM)

SALMI, ALESSANDRO;ATZENI, ELEONORA;IULIANO, Luca;GALATI, MANUELA
2017

Abstract

During the Selective Laser Melting (SLM) process, the scanned layers are subjected to rapid thermal cycles. Steep temperature gradients generate residual stresses. Residual stresses can be detrimental to the proper functioning and the structural integrity of built parts. In this paper, the semi-destructive hole-drilling method has been used to measure the residual stresses on AISi10Mg parts after building, stress relieving and shot-peening, respectively. The outcomes have shown the presence, on the as-built components, of high tensile stresses that the usual post-processing operations are not able to minimize. The adopted method has proved to be a suitable tool to identify optimal process parameters for each step of the production cycle.
2017
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2643842
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