Prediction of tool wear and surface roughness of waspaloy by using Artificial Neural Network (ANN)

• Main Author: Gan, Chin Ket
• Format: Thesis
• Language: English; English
• Published: 2021
• Subjects: T Technology (General); TJ Mechanical engineering and machinery
• Online Access: http://eprints.utem.edu.my/id/eprint/26952/1/Prediction%20of%20tool%20wear%20and%20surface%20roughness%20of%20waspaloy%20by%20using%20Artificial%20Neural%20Network%20%28ANN%29.pdf; http://eprints.utem.edu.my/id/eprint/26952/2/Prediction%20of%20tool%20wear%20and%20surface%20roughness%20of%20waspaloy%20by%20using%20Artificial%20Neural%20Network%20%28ANN%29.pdf; http://eprints.utem.edu.my/id/eprint/26952/; https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121717

This research focuses on prediction on tool wear and surface roughness of Waspaloy under different machining conditions by using artificial neural network (ANN). Cutting speed and feed rate were the input nodes while tool wear and surface roughness were the output nodes. ANN with various number of n...