ENBIS-16 in Sheffield

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

Quality Monitoring, Control and Improvement in Additive Manufacturing: Challenges and Opportunities

14 September 2016, 09:20 – 09:40

Abstract

Submitted by
Bianca Maria Colosimo
Authors
Bianca Maria Colosimo (Politecnico di Milano)
Abstract
Additive manufacturing (AM) has been attracting a growing interest in different industrial sectors (aerospace, biomedical implants, machinery and tooling, creative industries) as it is one of the key technologies for producing complex, customized shapes. Despite of the relevant improvements made by AM technology in the recent years, process capability is still a major issue for its industrial breakthrough. As a matter of fact, different kinds of defects may originate during the process and the quality of the part depends on hundreds of controllable parameters, but it is also affected by many nuisance factors. This talk illustrates challenges and opportunities of applying statistical process monitoring, control and optimization to AM. In particular, a new approach for in-line statistical process monitoring by combining Principal Component Analysis (PCA) and cluster analysis is described and applied to a real case study of metal Additive manufacturing via Selective Laser melting.

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