Prediction of Hole Temperature During The Drilling Process Using Artificial Neural Networks

سال انتشار: 1389
محل انتشار: همایش ملی آشنایی با فناوریهای روز در زمینه مهندسی مکانیک
کد COI اختصاصی: NCNTME01_209
زبان مقاله: انگلیسی
تعداد مشاهده: 1554

نویسندگان

Mechanical Eng. Department, Islamic Azad University, Shiraz Branch, Shiraz, IRAN

چکیده

Information of the drilling hole temperature during the process, is important in drilling quality and tools life aspects. About these, various studies, including experimental, numerical and analytical methods are done. In the present study drilling hole temperature is determined by using artificial neural networks according to certain points’ temperature of the work piece and two parameters, drill diameter and ambient temperature. In the present work, by using the CFDsimulations, temperature in nods of the work piece specified in quasi-steady conditions. Results obtained from CFD are used for training and testing the ANN approach. Using reverse engineering and setting the desired points temperature, the drill diameter and ambient temperature as input data to the network, drilling hole temperature that determined by neural network is presented as output data. Data obtained in different parts is given. The desired points temperature for different drill bit diameters obtained experimentally and by extrapolation method the drilling point temperature is obtained and a comparison is performed among the soft programming ANN, CFD results and experimental data and it is observed that ANN soft programming code can be used more efficiently to determine hole temperature in a drilling process and comparison has been discussed.

کلیدواژه ها

Drilling; Hole temperature; Artificial neural networks

مقالات مرتبط جدید

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.