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Green Density Optimisation with Sustainable Sewage Fat as Binder Components in SS316L Feedstock of Metal Injection Moulding Process (MIM) by Taguchi Method
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Metal injection moulding has gain much attention due to flexibility and high productivity of the plastics injection moulding with the powder metallurgy method of sintering. In order to gain better shape retention, optimum density of green part is required. This paper deals with the application of Taguchi optimisation technique on getting the optimum density for Metal Injection Moulding (MIM) components base on certain parameters in process injection. For this purposes only 3 process parameters were considered here including its interactions which are injection pressure, injection temperature and mould temperature. Since its more close to the final products these parameters were selected and other parameters will be kept constant. An orthogonal array of L16 experimental base design was conducted. Confirmation test will be done base on Signal-to-Noise (S/N) ratio and it Means.
Trans Tech Publications, Ltd.
Title: Green Density Optimisation with Sustainable Sewage Fat as Binder Components in SS316L Feedstock of Metal Injection Moulding Process (MIM) by Taguchi Method
Description:
Metal injection moulding has gain much attention due to flexibility and high productivity of the plastics injection moulding with the powder metallurgy method of sintering.
In order to gain better shape retention, optimum density of green part is required.
This paper deals with the application of Taguchi optimisation technique on getting the optimum density for Metal Injection Moulding (MIM) components base on certain parameters in process injection.
For this purposes only 3 process parameters were considered here including its interactions which are injection pressure, injection temperature and mould temperature.
Since its more close to the final products these parameters were selected and other parameters will be kept constant.
An orthogonal array of L16 experimental base design was conducted.
Confirmation test will be done base on Signal-to-Noise (S/N) ratio and it Means.
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