Qualification of AM parts: Extreme value statistics applied to tomographic measurements

被引:200
作者
Romano, S. [1 ]
Brandao, A. [2 ]
Gumpinger, J. [2 ]
Gschweitl, M. [3 ]
Beretta, S. [1 ]
机构
[1] Politecn Milan, Dept Mech Engn, Via La Masa 1, I-20156 Milan, Italy
[2] European Space Technol Ctr, Keplerlaan 1, NL-2200 AG Noordwijk, Netherlands
[3] RUAG Space, Schaffhauserstr 580, CH-8052 Zurich, Switzerland
关键词
AlSi10Mg; Computed tomography; Additive manufacturing; Defect analysis; Qualification; Fatigue; FATIGUE-STRENGTH PREDICTION; MAXIMUM INCLUSION; TOLERANT DESIGN; QUALITY-CONTROL; COMPONENTS; DEFECTS; SIZE; PERFORMANCE; TI-6AL-4V; BEHAVIOR;
D O I
10.1016/j.matdes.2017.05.091
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The progressive improvement of additive manufacturing (AM) techniques enables the production of geometrically complex and lightweight parts, which explains the incredibly fast growth of AM for space and aerospace applications. The first standards require the production of witness specimens manufactured together with the components for assessment and qualification for the material control. However, one of the most critical issues is determining the 'fitness-for-purpose' of fatigue loaded parts, which is strictly related to the microstructure and defects generated during the manufacturing process. One of the most suitable techniques for detecting defects even near the surface or in thin, complex geometries is micro-computed tomography (mu-CT). This paper deals with the application of statistics of extremes for analysing X-ray CT scan measurements in view of component assessment by discussing its advantages and requirements.
引用
收藏
页码:32 / 48
页数:17
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