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http://dx.doi.org/10.4150/KPMI.2017.24.3.223

Optimization of Process Condition for Fe Nano Powder Injection Molding  

Oh, Joo Won (Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH))
Lee, Won Sik (The Advanced Process and Materials R&D Group, Korea Institute of Industrial Technology)
Park, Seong Jin (Department of Mechanical Engineering, Pohang University of Science and Technology (POSTECH))
Publication Information
Journal of Powder Materials / v.24, no.3, 2017 , pp. 223-228 More about this Journal
Abstract
Nanopowders provide better details for micro features and surface finish in powder injection molding processes. However, the small size of such powders induces processing challenges, such as low solid loading, high feedstock viscosity, difficulty in debinding, and distinctive sintering behavior. Therefore, the optimization of process conditions for nanopowder injection molding is essential, and it should be carefully performed. In this study, the powder injection molding process for Fe nanopowder has been optimized. The feedstock has been formulated using commercially available Fe nanopowder and a wax-based binder system. The optimal solid loading has been determined from the critical solid loading, measured by a torque rheometer. The homogeneously mixed feedstock is injected as a cylindrical green body, and solvent and thermal debinding conditions are determined by observing the weight change of the sample. The influence of the sintering temperature and holding time on the density has also been investigated. Thereafter, the Vickers hardness and grain size of the sintered samples have been measured to optimize the sintering conditions.
Keywords
Fe; Feedstock; Nano powder; Powder injection molding;
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Times Cited By KSCI : 1  (Citation Analysis)
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