The Milling of Metalsthrough Adaptive Neuro-FuzzyInference System (ANFIS) for non-touch Measuring of the Temperature to Reduce Coolant
Publish Year: 1399
Type: Journal paper
Language: English
View: 296
This Paper With 8 Page And PDF Format Ready To Download
- Certificate
- I'm the author of the paper
Export:
Document National Code:
JR_MPMPJ-9-2_002
Index date: 25 January 2021
The Milling of Metalsthrough Adaptive Neuro-FuzzyInference System (ANFIS) for non-touch Measuring of the Temperature to Reduce Coolant 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.
The Milling of Metalsthrough Adaptive Neuro-FuzzyInference System (ANFIS) for non-touch Measuring of the Temperature to Reduce Coolant Keywords:
The Milling of Metalsthrough Adaptive Neuro-FuzzyInference System (ANFIS) for non-touch Measuring of the Temperature to Reduce Coolant authors
Sara Kashisaz
Department of Metallurgy, Payam Noor University, Tehran, Iran
Zahra Basiri Paknafs
Department of Mechanic Engineering, Payam Noor University, Tehran, Iran
Ahmad Riahi
Department of Metallurgy, Payam Noor University, Tehran, Iran