Abstract
Additive Manufacturing is increasingly growing in importance in the manufacturing environment, allowing to realize very complex product designs. Identifying the real machine capability is becoming fundamental as additive manufacturing technologies are starting to substitute conventional manufacturing processes. This aspect holds particularly true in the case of Laser Powder Bed Fusion technology. In this case, the method to investigate and determine the actual machine capabilities still represents an open point. In this paper, we propose an analysis of a well-known test artifact from an Axiomatic Design standpoint; based on the results and the review of the Customer Needs, we develop an improved design which is able to ensure a robust analysis for a reliable machine performance check.
Highlights
Additive Manufacturing (AM) is a well-known production process, based on the build-up of material right where it is needed
Regardless the implications rising from this paradigm transformation in a mechanical manufacturing environment, the use of Laser Powder Bed Fusion (LPBF) as a mass production process rises many points to be answered
We identified some criticalities related to the use of this design as an artifact for LPBF systems performance check
Summary
Additive Manufacturing (AM) is a well-known production process, based on the build-up of material right where it is needed. LPBF process is based on the melting of a thin layer of metal powder by means of a highly focused laser; by repeating this process over and over, a metal component is built. Metals suitable for this technology are many, ranging from lightweight alloys (titanium or aluminium) to high-density alloys for the most various applications (e.g., stainless steels, nickel-based or cobalt-based superalloys, precious alloys, etc.). Regardless the implications rising from this paradigm transformation in a mechanical manufacturing environment, the use of LPBF as a mass production process rises many points to be answered. One of these is the product quality assurance
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