اخبار و اعلانات

 آمار

تعداد نشریات24
تعداد شماره‌ها851
تعداد مقالات7,575
تعداد مشاهده مقاله13,413,740
تعداد دریافت فایل اصل مقاله11,580,452
MOEZI, S. A., ZAKERI, E., BAZARGAN-LARI, Y., ZARE, A.. (1394). 2&3-DIMENSIONAL OPTIMIZATION OF CONNECTING ROD WITH GENETIC AND MODIFIED CUCKOO OPTIMIZATION ALGORITHMS. , 39(M1), 39-49. doi: 10.22099/ijstm.2015.2947
S. A. MOEZI; E. ZAKERI; Y. BAZARGAN-LARI; A. ZARE. "2&3-DIMENSIONAL OPTIMIZATION OF CONNECTING ROD WITH GENETIC AND MODIFIED CUCKOO OPTIMIZATION ALGORITHMS". , 39, M1, 1394, 39-49. doi: 10.22099/ijstm.2015.2947
MOEZI, S. A., ZAKERI, E., BAZARGAN-LARI, Y., ZARE, A.. (1394). '2&3-DIMENSIONAL OPTIMIZATION OF CONNECTING ROD WITH GENETIC AND MODIFIED CUCKOO OPTIMIZATION ALGORITHMS', , 39(M1), pp. 39-49. doi: 10.22099/ijstm.2015.2947
MOEZI, S. A., ZAKERI, E., BAZARGAN-LARI, Y., ZARE, A.. 2&3-DIMENSIONAL OPTIMIZATION OF CONNECTING ROD WITH GENETIC AND MODIFIED CUCKOO OPTIMIZATION ALGORITHMS. , 1394; 39(M1): 39-49. doi: 10.22099/ijstm.2015.2947

2&3-DIMENSIONAL OPTIMIZATION OF CONNECTING ROD WITH GENETIC AND MODIFIED CUCKOO OPTIMIZATION ALGORITHMS

Iranian Journal of Science and Technology Transactions of Mechanical Engineering
مقاله 4، دوره 39، M1، تیر 2015، صفحه 39-49    اصل مقاله (362.42 K)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22099/ijstm.2015.2947
نویسندگان
S. A. MOEZI* 1؛ E. ZAKERI1؛ Y. BAZARGAN-LARI2؛ A. ZARE2
1Young Researchers and Elite Club, Shiraz Branch, Islamic Azad University, Shiraz, I. R. of Iran
2Dept. of Mechanical Engineering, Shiraz Branch, Islamic Azad University, Shiraz, I. R. of Iran
چکیده
In this paper, a connecting rod was modeled and analyzed by finite element method. By
using genetic algorithm (GA) and modified cuckoo optimization algorithm (MCOA), the material
properties and some geometrical specifications were optimized. Cost function was a combination of
weight and stress. The connecting rod was under a load of 21.8 kN which obtained 360o crank angle
at 5700 rev/min. The reduction percentages of weight in 2-D analysis were 45.47% and 50.34%
based on GA and MCOA, respectively. The reduction percentages of stress were also 1.26% and
2.20% based on GA and MCOA, respectively. The values of reduction percentages in 3-D analysis
showed the same trends.
The results showed that applying each of the algorithms was efficient. Meanwhile, the results
of MCOA were better than GA, because of the smaller number of iterations and the initial
population, which resulted in increasing the rate of convergence (i.e. decreasing computational
time) and accuracy of answers. It can be mentioned that MCOA is an efficient and reliable
algorithm and can be used as a benchmark for future works.
کلیدواژه‌ها
Connecting rod؛ Optimization؛ Finite Element Analysis؛ GA؛ MCOA
آمار
تعداد مشاهده مقاله: 10,507
تعداد دریافت فایل اصل مقاله: 3,192


سامانه مدیریت نشریات علمی. قدرت گرفته از سیناوب