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Micropowder injection molding: investigation of powder-binder separation using synchrotron-based microtomography and 3D image analysis

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Abstract

Micropowder injection molding (μ-PIM) is one of the most promising processes of mass production for the fabrication of small complex shaped ceramic or metallic parts with high sintered density. However, dimensional accuracy of finished parts is difficult to achieve because of extremely high shear rates during the injection molding process. This promotes the separation of powder and binder even in highly homogeneous feedstocks leading to a particle density variation in the green part causing anisotropic shrinkage during sintering. The main objective of this study is to investigate the effect of the powder particle distribution in injection molded green metallic microparts with respect to the molding parameters using synchrotron microtomography (S-μCT) and three-dimensional (3D) image evaluation. Image analysis has been performed using the MAVI software package. To get information about the allocation of the metal particles along the sample the 3D CT-scans have been segmented and statistically analyzed via spatially resolved size distributions. Furthermore, the spatial arrangement of the particles has been investigated using the so-called summary statistics from the area of point process statistics. The results show that variations in the size distribution of the metal powder particles can be detected and give consistent evidence for a monotonic increase in particle size with distance to the injection point. In order to give recommendations for the choice of parameters as well as tool construction, knowledge about the causes for separation effects is essential. This study shows that S-μCT is a well-adapted analytical tool to investigate the powder-particle distribution in μ-PIM.

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References

  1. German RM (1990) Powder injection moulding. Metal Powder Industries Federation, Princeton

    Google Scholar 

  2. Heldele R, Rath S, Merz L, Butzbach R, Hagelstein M, Hausselt J (2006) Nucl Instrum & Meth Phys Res B 246:211

    Article  CAS  Google Scholar 

  3. Gelin JC, Barriere T, Song J (2010) J Eng Mater Technol 132:011017

    Article  Google Scholar 

  4. MAVI—Modular Algorithms for Volume Images (2010) Fraunhofer ITWM, Department of Image Processing, Kaiserslautern. http://www.mavi-3d.de. Accessed 25 Jan 2011

  5. Rack A, Weitkamp T, Trabelsi SB, Modregger P, Cecilia A et al (2009) Nucl Instrum & Meth Phys Res B 267:1978

    Article  CAS  Google Scholar 

  6. Heldele R (2008) Adv Powder Metall Part Mater IV(Part 11)

  7. Weitkamp T, Tafforeau P, Boller E, Cloetens P, Valade JP et al (2010) AIP Conf Proc 1221:33

    Article  Google Scholar 

  8. Banhart J (2008) Advanced tomographic methods in materials research and engineering. Oxford University Press, Oxford

    Book  Google Scholar 

  9. Stock SR (2008) Microcomputed tomography: methodology and applications. CRC Press, London

    Book  Google Scholar 

  10. Koch A, Raven C, Spanne P, Snigirev A (1998) J Opt Soc Am A 15:1940

    Article  CAS  Google Scholar 

  11. Martin T, Koch A (2006) J Synchrotron Rad 13:180

    Article  CAS  Google Scholar 

  12. Labiche JC, Mathon O, Pascarelli S et al (2007) Rev Sci Instrum 78:0901301

    Article  Google Scholar 

  13. Mirone A, Wilcke R, Hammersley A, Ferrero C (2010). http://www.esrf.eu/UsersAndScience/Experiments/TBS/SciSoft/. Accessed 20 Jan 2011

  14. Kak AC, Slaney M (1988) Principles of computerized tomographic imaging. IEEE Press, New York

    Google Scholar 

  15. Ohser J, Schladitz K (2009) 3D images of materials structures—processing and analysis. Wiley-VCH, Weinheim

    Google Scholar 

  16. Tek FB, Dempster AG, Kale I (2005) Comp Imag Vis 30:441

    Article  Google Scholar 

  17. Illian J (2008) Statistical analysis and modelling of spatial point patterns. Wiley, Chichester

    Google Scholar 

Download references

Acknowledgements

The authors would like to acknowledge Elodie Boller (ESRF) for her support at the beamline ID19 and the colleagues from KIT for doing the μ-PIM experiments. Financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) in the framework of the Collaborate Research Project SFB499 is greatly acknowledged.

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Correspondence to O. Weber.

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Weber, O., Rack, A., Redenbach, C. et al. Micropowder injection molding: investigation of powder-binder separation using synchrotron-based microtomography and 3D image analysis. J Mater Sci 46, 3568–3573 (2011). https://doi.org/10.1007/s10853-011-5270-9

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  • DOI: https://doi.org/10.1007/s10853-011-5270-9

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