Prediction of tool wear and surface roughness of waspaloy by using Artificial Neural Network (ANN)
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...
Saved in:
相似书籍
-
Modelling and simulation of surface roughness obtain from micro milling by using artificial neural network
由: Mohammed Saif, Yazid Abdulsameea
出版: (2014) -
Study On The Effect Of Tool Nose Wear On Surface Roughness And Dimensional Deviation Of Workpiece In Finish Turning Using Machine Vision.
由: Haghighi, Hamidreza Shahabi
出版: (2008) -
Effects of Environmental-Friendly Cutting Fluids on Surface Roughness and Tool Wear in Laser-Assisted High Speed Milling of Aluminium Alloy and 316 Stainless Steel
由: Farhana, Yasmin
出版: (2021) -
In Process Roughness Measurement And Tool Nose Radius Wear Assesment In Finish Turning Using Machine Vision
由: Balasundaram, Mohan Kumar
出版: (2017) -
Lifetime prediction of rubber rollers in mass printing machines based on artificial neural networks
由: Khorami, Komeyl
出版: (2013)