ENBIS-16 in Sheffield

11 – 15 September 2016; Sheffield Abstract submission: 20 March – 4 July 2016

Statistical Approach for Additive Manufacturing Process Characterisation

13 September 2016, 09:20 – 09:40

Abstract

Submitted by
Biagio Palumbo
Authors
Biagio Palumbo (Fraunhofer JL IDEAS-SQUARE, Department of Industrial Engineering, University of Naples Federico II), Francesco Del Re (Fraunhofer JL IDEAS-SQUARE, Department of Industrial Engineering, University of Naples Federico II), Massimo Martorelli (Fraunhofer JL IDEAS-CREAMI, Department of Industrial Engineering, University of Naples Federico II), Pasquale Corrado (MBDA ITALIA S.P.A), Giuseppe La Sala (MBDA ITALIA S.P.A)
Abstract
The Additive Manufacturing technology has been recognized as the next chapter in the industrial revolution. Exactly in the qualification phase of a new industrial process, when is inadequate the practitioner's experience, statistics play a strategic role to help management in decision-making by planning experimental activities, analyzing statistical results and catalyzing technological interpretations.
The aim of this work is to estimate the effects of different laser exposure strategies on the final quality of produced parts, such as surface roughness, density and mechanical properties. Since the functional relationship between the large number of involved process parameters related to laser exposure settings, a Nested Effects Modeling (NEM) approach has been adopted.
The proposed case study is a positive example of synergic collaboration and partnership between academic statisticians and industrial practitioners; it has been developed in MBDA industry, a world-class leader in missiles and missile systems.

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