Based on Permenkes RI No. 86 of 2013 the need for orthopedic implants in the jaw / face is increasing. In orthopedics, implants are devices that are placed in place of bone to support fractures. Referring to the statement, Balai Besar Logam dan Mesin (BBLM) conducted research on the manufacture of orthopedic implant products for the face using Metal Injection Molding (MIM) technology. MIM is a combination of the characteristics of Powder Metallurgy and Plastic Injection Molding for the production of complex metal components. The injection process is a major factor that needs to be considered to prevent injection defects including incomplete fill defects in order to proceed to the post-molding process. Based on this, it is necessary to simulate and analyze process parameters to find the maximum process parameters in order to prevent incomplete fill defects. The analysis was carried out using injection molding simulation software, namely Sigmasoft, to the previously obtained design, with a variation setting of the filling temperature value of 170°C-190°C and filling time of 0.5s-2.5s. Variations in values are processed to obtain a combination of parameter settings analyzed. The simulation software generates filling pressure values and filling percentages in the mold cavity. Demonstrate optimal parameters for green part orthopedic implants with Catamold 316L feedstock. The optimal injection operating parameters are at a melting temperature of 180°C, filling time of 1s and filling pressure of 700 bar.
Noise inspection is a predictive maintenance technique that is used to determine machine condition. The noise inspection can be done offline and online. Online noise inspection, which is far away from the object, is performed in the control center room. This monitoring system requires a complicated installation and long cables. The complexity of installation can be overcome by implementing a wireless noise inspection system. Wireless noise monitoring system for machinery condition monitoring still lacks information. Therefore, it is necessary to develop a wireless noise monitoring system. The result of wireless noise testing data on the machine is justified through the analysis of noise testing data of wired system. The research objective was to create a wireless noise measurement that is applied on a gearbox that is equipped with a data acquisition system that operates at a constant load and 5 variations of speed. Comparative analysis is used to justify the noise amplitude, time domain, and frequency domain of wireless and cabled measurements. The final test result indicates that the noise and wireless spectrum signals match the noise spectrum and signals using a cable. The highest amplitude lies at 12-13 of a fundamental frequency at a low frequency and at 30 of a fundamental frequency at a high frequency.
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