• ورود به سامانه
      مشاهده مورد 
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • ADMT Journal
      • Volume 9, Issue 1
      • مشاهده مورد
      •   صفحهٔ اصلی
      • نشریات انگلیسی
      • ADMT Journal
      • Volume 9, Issue 1
      • مشاهده مورد
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Optimizing the Parameters Contributing to Riveting Quality Using Imperialist Competitive Algorithm and Predicting the Objective Function via the Three Models MLR, RBF, and ANN-GA

      (ندگان)پدیدآور
      Fadaei, AbbasGorbanpour, AllahyarSalarpour, Amir
      Thumbnail
      دریافت مدرک مشاهده
      FullText
      اندازه فایل: 
      971.0کیلوبایت
      نوع فايل (MIME): 
      PDF
      نوع مدرک
      Text
      زبان مدرک
      English
      نمایش کامل رکورد
      چکیده
      The metal sheets play an important role in the mechanical design, particularly in the aerospace structures. The rivet connections are frequently used to connect these sheets. The riveting quality greatly influences the rupture of the rivet and the sheet. The various parameters affect the quality of this operation. In this paper, the optimization of the parameters contributing to the riveting quality in order to minimize the value of the maximum tangential stress in the sheets is addressed. To this end, the tolerance of the hole diameter in the top and the bottom sheets, the friction coefficient, and the tolerance of the rivet diameter and the rivet length were considered as the parameters influencing the riveting quality. A total of 64 models were obtained by the permutations of the parameters two at a time. The outputs were determined using the finite element method. The objective function for the optimization is the maximum tangential stress for which there is no analytical relation. Thus, three methods including the multivariable linear regression (MLR), the artificial neural network model of the radial basis function (RBF) type, and the hybrid model of the artificial neural network and the genetic algorithm (ANN-GA) were employed to model this function. Further, the performance of the three models was compared and the most suitable one was selected to model the objective function. The regression model was used to model the values of the height and the diameter after riveting. The imperialist competitive algorithm is utilized to solve this optimization problem. The obtained value for the maximum tangential stress using the imperialist competitive algorithm is 16368 pounds per square inches. After modification, this value increased to 23440 pounds per square inches using the finite element method. . The 0.07689 inches and 0.18524 inches were obtained for the height and diameter of the rivet after riveting, respectively.

      شماره نشریه
      1
      تاریخ نشر
      2016-03-01
      1394-12-11
      ناشر
      Islamic Azad University Majlesi Branch
      سازمان پدید آورنده
      Bu-Ali Sina University

      شاپا
      2252-0406
      2383-4447
      URI
      http://admt.iaumajlesi.ac.ir/article_534951.html
      https://iranjournals.nlai.ir/handle/123456789/429451

      مرور

      همه جای سامانهپایگاه‌ها و مجموعه‌ها بر اساس تاریخ انتشارپدیدآورانعناوینموضوع‌‌هااین مجموعه بر اساس تاریخ انتشارپدیدآورانعناوینموضوع‌‌ها

      حساب من

      ورود به سامانهثبت نام

      تازه ترین ها

      تازه ترین مدارک
      © کليه حقوق اين سامانه برای سازمان اسناد و کتابخانه ملی ایران محفوظ است
      تماس با ما | ارسال بازخورد
      قدرت یافته توسطسیناوب