Abstract
In recent years, the energy problem has caused widespread concern in the manufacturing industry. The energy consumption in traditional turning and milling processes has been widely studied. However, there are few studies on the energy consumption of the EDM (Electric Discharge Machining) process, which is also widely used. This article proposed a modeling method for the energy consumption model of EDM based on the discharge between electrodes. The proposed model is composed of processing energy consumption caused by electrode-to-electrode discharge and no-load energy consumption of the machine tool. Based on the discharge principle of EDM and the relationship between EDM machining parameters and MRR (Material Removal Rate), an energy consumption model for EDM machining is established. In this article, validation experiments are designed for important machining parameters, and the prediction accuracy of the theoretical model established in this article is higher than 96%. The energy efficiency in electric machining is also analyzed, and the influence relationship between energy consumption and machining parameters is revealed, which can effectively reduce the energy consumption of electric spark punching.
Highlights
Modern manufacturing industry generally has great impact on the consumption of resources and the destruction of the environment [1]
The paper will analyze the relationship between power and material removal rate and other parameters and establish a model of energy consumption prediction
1)By investigating the properties of hole EDM drilling of #45 steel, the mechanisms of EDM machining in high-temperature alloy processing were studied
Summary
Modern manufacturing industry generally has great impact on the consumption of resources and the destruction of the environment [1]. As a widely used special processing technology, EDM can process all conductive materials that are difficult to machine and is not limited by the shape of the parts It has a series of technological problems such as high energy consumption, relatively low processing efficiency and poor processing environment. They calculated the reduction value of the input and output of the machine tool during its operation as the energy consumption of the processing system This method is limited because the thermodynamic properties of different materials are difficult to control and calculate. The paper will analyze the relationship between power and material removal rate and other parameters and establish a model of energy consumption prediction. The model can reduce the energy consumption and enhance the processing efficiency
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