Electrolyte Pool Temperature Distribution And Control Method Of Electrochemical Machining

Constant of the electrolyte temperature is to ensure the normal electrolytic machining. If the electrolyte temperature is too low, the anode surface is easy to passive and scar, so that the processing can not be positive; if the temperature is too high, the local electrolyte could boil and evaporate to appear holes leading to anode-to-cathode short-circuit between burns.In order to maintain constant temperature in the processing of the electrolyte, it is necessary to solve effect that the rise of electrolyte temperature to machining accuracy. Many reasons why electrolyte temperature rose in the machining were analyzed such as electrode reaction was exothermic and large machining current.According to the conditions of electrolyte circulation, the control of electrolyte temperature in machining gap can be achieved by adjusting temperature of the electrolyte pool. The three-dimensional temperature field distribution of the electrolyte pool was simulated by COMSOL Multiphysics. The results show that, with the variation of time, the temperature field in the sedimentation tank is relatively uniform, and the temperature field in the serum pool has a significant change that appears high and low temperature, in addition, the temperature rises rapidly where the flow rate is larger, which illustrates the flow rate effects the temperature field to a certain degree. Finally, the highest temperature of the electrolyte pool was obtained through the simulation results, providing a reference to determine the location of the hydrothermal extraction point using a heat exchanger.According to a very different view of the temperature in the electrolyte pool, the multi-point detection method is proposed by using SCM as the control core, and the temperature measurement system designed was verified in a simulated container. The results show that the electrolyte temperature distributions and changes measured by multi-channel temperature detection system consistent with the manual measurement, proving the correctness and effectiveness of the system.In final,determined the temperature control system design plan applied PID control algorithm,and designed the test model of temperature control system, the experimental data were analyzed by MATLAB. Under a set of experimental conditions, the temperature control error is±0.5℃.