High resolution pore size analysis in metallic powders by X-ray tomography

Abstract The deployment of additive manufacturing processes relies on part quality, specifically the absence of internal defects. Some of those defects have been associated with porosities in the powder feedstock. Since the level of porosity in the powder is generally very low, standard characterisation techniques such as pycnometry and metallography are not suitable for quantification. However, the quantification of such micro sized porosity in metallic powders is crucial to better understand the potential source of internal defects in final components and for quality control purposes. X-ray tomography with a 3 μm resolution offers the possibility to visualise pores in large volume of powder and to quantify their geometrical features and volume fraction using image analysis routines. This combination is unique and demonstrates the power of the approach in comparison to standard powder characterisation techniques. Results presented show the prospects and limits of this technique depending on the imaging device, material and image analysis procedure.

[1]  A. M. James,et al.  Macmillan's Chemical and Physical Data , 1992 .

[2]  Wen-Hsiang Tsai,et al.  Moment-preserving thresholding: a new approach , 1995 .

[3]  Joakim Karlsson,et al.  Characterization and comparison of materials produced by Electron Beam Melting (EBM) of two different Ti-6Al-4V powder fractions , 2013 .

[4]  W. M. Haynes CRC Handbook of Chemistry and Physics , 1990 .

[5]  M L Mendelsohn,et al.  THE ANALYSIS OF CELL IMAGES * , 1966, Annals of the New York Academy of Sciences.

[6]  J. Kruth,et al.  A study of the microstructural evolution during selective laser melting of Ti–6Al–4V , 2010 .

[7]  David W. Rosen,et al.  Additive Manufacturing Technologies: Rapid Prototyping to Direct Digital Manufacturing , 2009 .

[8]  S. Raman,et al.  A design for the additive manufacture of functionally graded porous structures with tailored mechanical properties for biomedical applications , 2011 .

[9]  E. Chlebus,et al.  Application of X-ray CT method for discontinuity and porosity detection in 316L stainless steel parts produced with SLM technology , 2014 .

[10]  John Aurie Dean,et al.  Lange's Handbook of Chemistry , 1978 .

[11]  B. R. Jennings,et al.  Particle size measurement: the equivalent spherical diameter , 1988, Proceedings of the Royal Society of London. A. Mathematical and Physical Sciences.

[12]  Thomas Boudier,et al.  TANGO: a generic tool for high-throughput 3D image analysis for studying nuclear organization , 2013, Bioinform..

[13]  D. Bellet,et al.  Bulk observation of metal powder sintering by X-ray synchrotron microtomography , 2004 .

[14]  Ian Campbell,et al.  Additive manufacturing: rapid prototyping comes of age , 2012 .

[15]  Geoff P. Delaney,et al.  Tomographic analysis of jammed ellipsoid packings , 2013 .

[16]  Anton du Plessis,et al.  Application of microCT to the non-destructive testing of an additive manufactured titanium component , 2015 .

[17]  Wen-Hsiang Tsai,et al.  Moment-preserving thresolding: A new approach , 1985, Comput. Vis. Graph. Image Process..

[18]  Marc Z. Miskin,et al.  Particle shape effects on the stress response of granular packings. , 2013, Soft matter.

[19]  T. W. Ridler,et al.  Picture thresholding using an iterative selection method. , 1978 .

[20]  Joaquim Ciurana,et al.  Study of the Pore Formation on CoCrMo Alloys by Selective Laser Melting Manufacturing Process , 2013 .

[21]  H. Wadell,et al.  Volume, Shape, and Roundness of Quartz Particles , 1935, The Journal of Geology.

[22]  Iain Todd,et al.  XCT analysis of the influence of melt strategies on defect population in Ti?6Al?4V components manufactured by Selective Electron Beam Melting , 2015 .

[23]  T Aste,et al.  Geometrical structure of disordered sphere packings. , 2005, Physical review. E, Statistical, nonlinear, and soft matter physics.

[24]  Ming-Chuan Leu,et al.  Progress in Additive Manufacturing and Rapid Prototyping , 1998 .