Enhancement Tool Path for CNC Milling Using ANN

The specialized book "Enhancement Tool Path for CNC Milling Using ANN" offers a comprehensive analysis of tool path generation for CNC milling processes using Artificial Neural Networks (ANN). The authors, Ahmed A. A. Duroobi, Maan Aabid Tawfiq, and Safaa K. Ghazi, examine the various parameters that influence the tool path, including tool radius, curvature radii, and cutting direction. The book discusses the significance of factors such as side offset, feed rate, and cutting speed, all of which are crucial for optimizing the tool path and generating G-code. MATLAB software was used to create tool paths for 27 samples, with part of the samples used for training the neural network and another part for testing. Furthermore, a comparison is made between the generated tool paths and those created with UG-NX to evaluate the effectiveness of the proposed methods.