The Milling of Metalsthrough Adaptive Neuro-FuzzyInference System (ANFIS) for non-touch Measuring of the Temperature to Reduce Coolant

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 219

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شناسه ملی سند علمی:

JR_MPMPJ-9-2_002

تاریخ نمایه سازی: 7 بهمن 1399

چکیده مقاله:

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.

کلیدواژه ها:

Milling of Stainless Steel ، cooling system ، ANFIS ، Optimization

نویسندگان

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