Simulation Test of Adaptive Electric Discharge Forming Machine

Adaptive Electric Spark Forming Machine Simulation Experiment With the development of modern technology, advanced plastic forming machines have been applied in many manufacturing processes. Among them, an adaptive electric spark forming machine has become the most popular one, and has been widely......

Adaptive Electric Spark Forming Machine Simulation Experiment

With the development of modern technology, advanced plastic forming machines have been applied in many manufacturing processes. Among them, an adaptive electric spark forming machine has become the most popular one, and has been widely used in the production of high-precision components such as molds and plastic parts. In this paper, an adaptive electric spark forming machine simulation test was conducted, aiming to regulate and improve the forming process, and optimize the forming process parameters and control strategies in order to obtain higher quality and meet the requirements of low cost.

Firstly, a three-dimensional dynamic model of the adaptive electric spark forming machine is established based on the analysis of the overall dynamic characteristics and the analysis of the dynamic characteristics of each sub-system. This model is then used to simulate the performance of the system. The forming process is tested repeatedly with different parameters and control strategies, and the results and information obtained can be used to identify the sources of errors and optimize the process parameters and control strategies accordingly.

Secondly, according to the simulation data and physical characteristics of the adaptive electric spark forming machine, the influence of air-gap size, material thickness, pre-forming force and other process parameters on the forming efficiency was studied. The optimal parameters determined from the experimental results were applied to further adjust the performance of the system.

Thirdly, the effect of the extracted forming force, plastic strain, processing temperature and other process parameters on the forming quality was also studied. The results showed that the obtained quality of the parts could be improved by adjusting the parameters, and that a higher forming quality could be achieved.

Finally, various control algorithms were compared in terms of their performances. The results indicated that the adaptive electric spark forming machine could meet the requirements of high precision and efficiency.

The conducted experiments are valid and effective; they also provide a reference for further verification or improvement of the practical situations. The tests conducted in this study confirmed the theoretical system analysis, and provided valuable and practical experience in controlling the adaptive electric spark forming machine. Besides, it was found that the machinery parameters, operational strategies and control methods had an important influence on the productivity of the adaptive electric spark forming machine, and should be optimized to obtain higher quality and productivity.

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