Abstract
The selection of printing parameters for 3D printing can dramatically affect the dynamic performance of components such as polymer spur gears. In this paper, the performance of 3D printed gears has been optimised using a machine learning process. A genetic algorithm (GA)–based artificial neural network (ANN) multi-parameter regression model was created. There were four print parameters considered in 3D printing process, i.e. printing temperature, printing speed, printing bed temperature and infill percentage. The parameter setting was generated by the Sobol sequence. Moreover, sensitivity analysis was carried out in this paper, and leave-one cross validation was applied to the genetic algorithm-based ANN which showed a relatively accurate performance in predictions and performance optimisation of 3D printed gears. Wear performance of 3D printed gears increased by 3 times after optimised parameter setting was applied during their manufacture.
Highlights
For applications such as automotive and aerospace engineering, polymer gears have unique advantages over metal gears: low cost and weight, high efficiency, quietness of operation, functioning without external lubrication, etc
According to Ye et al [1], 5 different 3D printing nylon materials have been compared; result shows Nylon 618 has outstanding performance compared with other nylon materials, including 23% carbon fibre reinforced nylon filament
The results showed the operational time of polymer spur gears under different circumstances
Summary
For applications such as automotive and aerospace engineering, polymer gears have unique advantages over metal gears: low cost and weight, high efficiency, quietness of operation, functioning without external lubrication, etc. The performance of 3D printed gear has been investigated previously. According to Ye et al [1], 5 different 3D printing nylon materials have been compared; result shows Nylon 618 has outstanding performance compared with other nylon materials, including 23% carbon fibre reinforced nylon filament. Are many investigations into the characteristics of wear and thermal behaviour of injection-moulded gears. Mao et al [2]. Carried out an analysis of the friction and wear behaviour of acetal and nylon gears including characterising the failure mechanism and thermal analysis. The results showed the operational time of polymer spur gears under different circumstances. Hu and Mao [3] investigated the effects of different misalignments on the fatigue of polymer gears during use
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