E3S Web Conf.
Volume 309, 20213rd International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2021)
|Number of page(s)||5|
|Published online||07 October 2021|
Application of ANN in prediction of response parameters in CNC Turning
1 Department of Mechanical Engineering, Chandigarh University, Punjab -140413, India
2 Department of Civil Engineering, Chandigarh University, Punjab -140413, India
3 Department of Electronics and Communication Engineering, Chandigarh University, Punjab -140413, India
* Corresponding author E mail: email@example.com
Product surface quality material removal rate play a great role in the current manufacturing industry. The use of artificial intelligence becomes immensely important component in research work. . In today advanced technology era, the use of CNC in lathe is common and essential to enhance the productivity of manufacturing industry. In this research work, the application of artificial neural network has been shown to predict the values of surface finish and MRR during turning operation on a CNC lathe machine. The association between process variables and response variables through hidden layers has been presented. The experimental data set was used for training (70%), testing (15%) and validation (15%) of neural network. The measured values are compared with the predicted values and percentage of predicated errors are computed. In present work, a neural network is developed and trained, tested and validated with the help of MATLAB. The study can be beneficial for estimation of surface finish of products during commercialization which would reduce the manufacturing coat and time.
© The Authors, published by EDP Sciences, 2021
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