Simulation of Aluminium Ingot Pot by Neural Network for Temperature Control
Publish place: 4th Iran Aluminum International Conference IIAC2016
Publish Year: 1395
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
IIAC04_038
تاریخ نمایه سازی: 22 دی 1396
Abstract:
One of the difficulties of aluminium ingot pots is its temperature control. Due to the fact that several factors influence the operation and the temperature of the pot, it’s very difficult to analyze it with mathematic functions. This article attempts to simulate an aluminium ingot pot by neural networks and control its temperature according to environmental parameters. In this process, first, pot’s input data like aluminium fluoride, voltage, abdomen size and … are gathered in various work shifts and simulated by radius networks and the results are compared with a view of error, training speed, amount of training, and etc. This article can determine the measure of influence of each output in the parameter of temperature and present the anticipated temperature for different inputs while doing this experimentally take a lot of time and is expensive
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Authors
Mina Tarahi
Electrical Engineering Department, Sirjan University of Technology, Sirjan
Ehsan Ehsaeyan
Electrical Engineering Department, Sirjan University of Technology, Sirjan
Fatemeh Mehdizadeh
Electrical Engineering Department, Sirjan University of Technology, Sirjan