Title of article :
The Milling of Metalsthrough Adaptive Neuro-FuzzyInference System (ANFIS) for non-touch Measuring of the Temperature to Reduce Coolant
Author/Authors :
Kashisaz, Sara Department of Metallurgy - Payam Noor University, Tehran, Iran , Basiri Paknafs, Zahra Department of Mechanic Engineering - Payam Noor University, Tehran, Iran , Riahi, Ahmad Department of Metallurgy - Payam Noor University, Tehran, Iran
Abstract :
In this paper, an innovated method is used for cooling Milling zone of Stainless Steel via Adaptive Neuro-Fuzzy Inference System (ANFIS) using non-touch laser thermometer for non-touch measuring of the temperature. This method is economically appropriate because of its optimization in using coolant. In comparison to the ways which were designed to optimize the ratio of coolant, this method is the best due to its intelligent, fast and trained system via ANFIS .In this method, not only the designing of the ANFIS and using the non-touch laser thermometer makes the cooling process fast but also the accuracy of the system is improved in comparison to the previous designs according to the results in different statistics criteria including MSE, NMSE, R2 and MAPE, which were calculated.
Keywords :
Milling of Stainless Steel , Cooling System , ANFIS , Optimization
Journal title :
Journal of Modern Processes in Manufacturing and Production
