Multiobjective Optimization for Fixture Locating Layout of Sheet Metal Part Using SVR and NSGA-II
المؤلفون المشاركون
Kang, Yong-gang
Wang, Zhong-qi
Yang, Bo
Yang, Yuan
Jing, Zewang
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-08-17
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Fixture plays a significant role in determining the sheet metal part (SMP) spatial position and restraining its excessive deformation in many manufacturing operations.
However, it is still a difficult task to design and optimize SMP fixture locating layout at present because there exist multiple conflicting objectives and excessive computational cost of finite element analysis (FEA) during the optimization process.
To this end, a new multiobjective optimization method for SMP fixture locating layout is proposed in this paper based on the support vector regression (SVR) surrogate model and the elitist nondominated sorting genetic algorithm (NSGA-II).
By using ABAQUS™ Python script interface, a parametric FEA model is established.
And the fixture locating layout is treated as design variables, while the overall deformation and maximum deformation of SMP under external forces are as the multiple objective functions.
First, a limited number of training and testing samples are generated by combining Latin hypercube design (LHD) with FEA.
Second, two SVR prediction models corresponding to the multiple objectives are established by learning from the limited training samples and are integrated as the multiobjective optimization surrogate model.
Third, NSGA-II is applied to determine the Pareto optimal solutions of SMP fixture locating layout.
Finally, a multiobjective optimization for fixture locating layout of an aircraft fuselage skin case is conducted to illustrate and verify the proposed method.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yang, Yuan& Wang, Zhong-qi& Yang, Bo& Jing, Zewang& Kang, Yong-gang. 2017. Multiobjective Optimization for Fixture Locating Layout of Sheet Metal Part Using SVR and NSGA-II. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1191656
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yang, Yuan…[et al.]. Multiobjective Optimization for Fixture Locating Layout of Sheet Metal Part Using SVR and NSGA-II. Mathematical Problems in Engineering No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1191656
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yang, Yuan& Wang, Zhong-qi& Yang, Bo& Jing, Zewang& Kang, Yong-gang. Multiobjective Optimization for Fixture Locating Layout of Sheet Metal Part Using SVR and NSGA-II. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1191656
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1191656
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر