Construction Of Plastic Waste Extruding Machine To Produce Filaments Of 3D Printing Machine

This paper presents design and development of plastic waste extruding machine to provide 3D printing filaments. The motivation of this research is to create a 3d printer filament from plastic waste using simple machine components. In addition, another goal is to create valuable items from plastic waste. The research process begins with design, needs analysis, machine rebuilding and electrical assembly, machine function testing, analysis of filament, and filament testing in 3D printing machine. The categories of shredded plastic material were plastic cups (polypropylene, PP) and a mixture of plastic bottles (polyethylene terepththalate, PET) and plastic cups (polypropylene, PP). The analysis of the research was the capacity of the extrusion machine, the best temperature in producing filaments based on shapes and sizes, and testing of 3D printing filaments of plastic waste which was applied to the 3D printing machine. The result showed that 190°C was the greater temperature to heat the barrel, machine capacity of each plastic waste category, and the characteristic plastic waste was almost similar compared to market filament of polylactic acid (PLA) in terms of filament size and 3D printing machine parameter.

Linear PWM Techniques of Asymmetrical Six-phase Machine With Optimal Current Ripple Performance

<p>Linear modulation techniques (LMTs) of an asymmetrical six-phase machine (ASPM) with two isolated neutral points synthesize the desired voltage vectors by applying at least five switching states. Different choices of applied voltage vectors, sequences in which they are used, distribution of dwell times among the redundant switching states give rise to a large number of possible LMTs. It is desirable that these LMTs avoid more than two transitions of a particular inverter leg within a carrier period. Only a subset of existing LMTs of ASPM follows this rule. Through an innovative approach, this paper finds a way to account for all possible infinitely many LMTs that follow the rule of at most two transitions per leg. Another important criterion for the selection of an LMT is its current-ripple performance. Therefore, through numerical optimization, the paper finds optimal LMTs among the above infinite possible LMTs for all reference voltage vectors in the linear range and for the whole feasible range of a machine parameter. This parameter is related to the leakage inductance of the machine and impacts the current ripple performance of ASPM. An optimal hybrid strategy is proposed with these optimal techniques, which outperforms all existing techniques in terms of the current ripple. The theoretical analysis is validated through simulation in Matlab and experiments performed up to 3.5 kW on a hardware prototype.</p>

Linear PWM Techniques of Asymmetrical Six-phase Machine With Optimal Current Ripple Performance

<p>Linear modulation techniques (LMTs) of an asymmetrical six-phase machine (ASPM) with two isolated neutral points synthesize the desired voltage vectors by applying at least five switching states. Different choices of applied voltage vectors, sequences in which they are used, distribution of dwell times among the redundant switching states give rise to a large number of possible LMTs. It is desirable that these LMTs avoid more than two transitions of a particular inverter leg within a carrier period. Only a subset of existing LMTs of ASPM follows this rule. Through an innovative approach, this paper finds a way to account for all possible infinitely many LMTs that follow the rule of at most two transitions per leg. Another important criterion for the selection of an LMT is its current-ripple performance. Therefore, through numerical optimization, the paper finds optimal LMTs among the above infinite possible LMTs for all reference voltage vectors in the linear range and for the whole feasible range of a machine parameter. This parameter is related to the leakage inductance of the machine and impacts the current ripple performance of ASPM. An optimal hybrid strategy is proposed with these optimal techniques, which outperforms all existing techniques in terms of the current ripple. The theoretical analysis is validated through simulation in Matlab and experiments performed up to 3.5 kW on a hardware prototype.</p>

Defining an Optimized Machine Process Sequence to Address Broken Wafer Phenomenon on Semiconductor Products

Silicon wafer as a direct material is one of the vital parts of a semiconductor product. Wastages on manufacturing plants that pulls the yield down should be addressed innovatively and accurately. This paper focused on the phenomenon of broken wafers at wafer taping process during wafer preparation. Using a wafer taper machine, silicon wafers are covered by an industrial tape as preparation for the next process. During processing and wafers are placed on wafer boat, unexpected phenomenon of broken wafers due to unwanted falling was encountered. Findings was due to the unintentional dragging of the machine’s robot arm after wafer processing. The problem is resolved through simulation and experiments using statistical analysis. As a result, an optimized machine parameter setting was defined to eliminate the said rejection. Statistical analysis was of a big help in resolving the said phenomenon and improved the process yield of the manufacturing.