سامانه پشتیبانی خدمات اطلاعات

  اخبار و اعلانات

 آمار

تعداد نشریات161
تعداد شماره‌ها6,533
تعداد مقالات70,509
تعداد مشاهده مقاله124,128,831
تعداد دریافت فایل اصل مقاله97,236,074
Akhyani, Masoud, Sereshki, Farhang, Mikaeil, Reza, Taji, Mohammad. (1396). Evaluation of Cutting Performance of Diamond Saw Machine Using Artificial Bee Colony (ABC) Algorithm. , 51(2), 185-190. doi: 10.22059/ijmge.2017.232903.594672
Masoud Akhyani; Farhang Sereshki; Reza Mikaeil; Mohammad Taji. "Evaluation of Cutting Performance of Diamond Saw Machine Using Artificial Bee Colony (ABC) Algorithm". , 51, 2, 1396, 185-190. doi: 10.22059/ijmge.2017.232903.594672
Akhyani, Masoud, Sereshki, Farhang, Mikaeil, Reza, Taji, Mohammad. (1396). 'Evaluation of Cutting Performance of Diamond Saw Machine Using Artificial Bee Colony (ABC) Algorithm', , 51(2), pp. 185-190. doi: 10.22059/ijmge.2017.232903.594672
Akhyani, Masoud, Sereshki, Farhang, Mikaeil, Reza, Taji, Mohammad. Evaluation of Cutting Performance of Diamond Saw Machine Using Artificial Bee Colony (ABC) Algorithm. , 1396; 51(2): 185-190. doi: 10.22059/ijmge.2017.232903.594672

Evaluation of Cutting Performance of Diamond Saw Machine Using Artificial Bee Colony (ABC) Algorithm

International Journal of Mining and Geo-Engineering
مقاله 11، دوره 51، شماره 2، اسفند 2017، صفحه 185-190    اصل مقاله (698.73 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/ijmge.2017.232903.594672
نویسندگان
Masoud Akhyani1؛ Farhang Sereshki2؛ Reza Mikaeil* 3؛ Mohammad Taji4
1Department of Mining, Petroleum and Geophysics, Shahrood University of Technology, Shahrood, Iran.
2Associate professor, Department of Mining, Petroleum and Geophysics, Shahrood University, Shahrood, IRAN
3Assistant professor, Department of Mining and Metallurgical Engineering, Urmia University of Technology
4Department of mining Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran.
چکیده
Artificial Intelligence (AI) techniques are used for solving the intractable engineering problems. In this study, it is aimed to study the application of artificial bee colony algorithm for predicting the performance of circular diamond saw in sawing of hard rocks. For this purpose, varieties of fourteen types of hard rocks were cut in laboratory using a cutting rig at 5 mm depth of cut, 40 cm/min feed rate and 3000 rpm peripheral speed. Four major mechanical and physical properties of studied rocks such as uniaxial compressive strength (UCS), Schimazek abrasivity factor (SF-a), Mohs hardness (Mh), and Young’s modulus (Ym) were determined in rock mechanic laboratory. Artificial bee colony (ABC) was used to classify the performance of circular diamond saw based on mentioned mechanical properties of rocks. Ampere consumption and wear rate of diamond saw were selected as criteria to evaluate the result of ABC algorithm. Ampere consumption was determined during cutting process and the average wear rate of diamond saw was calculated from width, length and height loss. The results of comparison between ABC’s results and cutting performance (ampere consumption and wear rate of diamond saw) indicated the ability of metaheuristic algorithm such as ABC to evaluate the cutting performance.
کلیدواژه‌ها
ampere consumption؛ Cutting performance؛ Metaheuristic algorithm؛ Wear rate
آمار
تعداد مشاهده مقاله: 696
تعداد دریافت فایل اصل مقاله: 1,083


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب