Potential feedstock compositions for metal injection molding of reactive metals

Author(s):  
Peng Cao ◽  
Muhammad Dilawer Hayat
2010 ◽  
Vol 39 (5) ◽  
pp. 775-780 ◽  
Author(s):  
Hu Youhua ◽  
Li Yimin ◽  
He Hao ◽  
Lou Jia ◽  
Tang Xiao

2011 ◽  
Vol 52-54 ◽  
pp. 244-248
Author(s):  
Haw Pei Li ◽  
Norhamidi Muhamad ◽  
Abu Bakar Sulong ◽  
Heng Shye Yunn ◽  
Hooman Abolhasani

Optimization of injection parameters in Micro Metal Injection Molding (μMIM) was described in this study. Stainless steel powder was mixed with Polyethelena Glycol (PEG), Polymethyl Methacrilate (PMMA) and Cellulose Acetate Butyrate (CAB) to produce feedstock. Design of Experiments (DOE) of Taguchi L-27 (313) orthogonal array technique has been used to investigate the significance and optimal injection molding parameters. The signal-to-noise ratio and analysis of variance (ANOVA) are applied to study the optimum levels and effects of process parameters. Simultaneous optimization to obtain the highest green density and excellent surface appearance was discussed. The result concluded that the mold temperature (D) is the most statistically significant process parameter and its contribution to the best appearance and density is the highest.


2002 ◽  
Vol 42 (4) ◽  
pp. 760-770 ◽  
Author(s):  
Florin Ilinca ◽  
Jean-François Hétu ◽  
Abdessalem Derdouri ◽  
James Stevenson

2015 ◽  
Vol 104 ◽  
pp. 107-115 ◽  
Author(s):  
Shidi Yang ◽  
Ruijie Zhang ◽  
Xuanhui Qu

2010 ◽  
Vol 57 (6) ◽  
pp. 387-391
Author(s):  
Toshiko Osada ◽  
Yoshitomo Tanaka ◽  
Hideshi Miura ◽  
Terukazu Tokuoka ◽  
Takao Nishioka

2014 ◽  
Vol 214 (7) ◽  
pp. 1352-1360 ◽  
Author(s):  
Nihan Tuncer ◽  
Martin Bram ◽  
Alexander Laptev ◽  
Tilmann Beck ◽  
Alexander Moser ◽  
...  

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