Abstract
Electrochemical machining (ECM) is a critical manufacturing process used to produce complex and difficult-to-machine materials with high precision and accuracy. The process involves the removal of material through a controlled electrochemical reaction between an electrolyte and an electrically conductive workpiece. With the increasing demand for high-quality products and the need to improve manufacturing efficiency, the use of artificial intelligence (AI) in ECM is becoming increasingly important. AI algorithms can be used to optimize process parameters, detect defects and anomalies, predict maintenance requirements, and optimize the design of workpieces and tooling. This paper provides an overview of the role of AI in ECM, including recent developments, applications, and future prospects.
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