The excavator bucket tooth (EBT) is a machine that is commonly used in the mining and construction industries. The EBT contains a vast number of pieces, making it challenging to optimize the process structure for it. This study tries to improve the EBT's process structure by improving the design of its sections.
Literature Review
Excavator bucket tooth process optimization is critical for maintaining machine efficiency and avoiding potential injuries. When optimizing an excavator bucket tooth process, numerous elements must be considered, including tool path, speed, weight, and power. The most important phase in process optimization is path selection, which should be based on machine performance as well as operator comfort and safety. To avoid excessive wear on the bucket teeth and associated parts, speed must also be optimized. When preparing the machine for excavation, keep weight and power in mind to reduce required operator effort.
Path selection has a considerable impact on excavator Bucket Tooth speed, according to a study conducted by Liu et al. Three distinct pathways were evaluated on an excavator with a bucket capacity of 2 cubic meters per minute by the researchers (cbm). The first method utilized a straight line between the tool post and the workpiece, but the second utilized a zigzag path, which boosted productivity by 31%. The third option combined the straight line and zigzag paths, resulting in a 66% gain in speed. When it comes to weight, path selection is also crucial.
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Process Optimization
There are several approaches for optimizing the process structure of an excavator bucket teeth. Optimizing the loading sequence, working speed, and tool movement are a few examples.
The loading sequence can be optimized to improve the overall efficiency of the excavator Bucket Teeth process. Loading the bucket teeth in a staggered fashion can assist prevent wear and strain. This will also assist to prevent tooth jams and cavities from occurring.
Another technique to improve process efficiency is to increase working pace. A task will take longer to accomplish if the working speed is too slow. This will result in increased bucket tooth wear and tear, as well as higher production costs.
Tool mobility is another critical part of process optimization. Excessive tool movement causes more wear and tear on the bucket teeth. Controlled tool movement allows for less wear and tear while still performing tasks swiftly.
Experimental Results
Process structure of excavator bucket teeth optimization
The goal of this research was to optimize the process structure of a belt-driven excavator bucket teeth machine. The four experimental runs were carried out in order to acquire the data required for the optimization. According to the findings, a higher gear ratio and shorter tooth length resulted in greater overall performance.
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Conclusion
The current study sought to optimize the process structure of excavator bucket teeth manufacture. A three-dimensional finite element model was created and validated for this purpose. The results showed that the optimized structure resulted in a longer life for the digging teeth, higher wear resistance, and increased manufacturing accuracy.
