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Efficient Hybrid Method of FEA-Based RSM and PSO Algorithm for Multi-Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device
المؤلفون المشاركون
Dao, Thanh-Phong
Chau, Ngoc Le
Le, Hieu Giang
Dang, Minh Phung
Dang, Van Anh
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-03-18
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص EN
This paper proposes an efficient hybrid methodology for multi-objective optimization design of a compliant rotary joint (CRJ).
A combination of the Taguchi method (TM), finite element analysis (FEA), the response surface method (RSM), and particle swarm optimization (PSO) algorithm is developed to solving the optimization problem.
Firstly, the TM is applied to determine the number of numerical experiments.
And then, 3D models of the CRJ is built for FEA simulation, and mathematical models are formed using the RSM.
Subsequently, the suitability of the regression equation is assessed.
At the same time, the calculation of weight factors is identified based on the series of statistical equations.
Based on the well-established equations, a minimum mass and a maximum rotational angle are simultaneously optimized through the PSO algorithm.
Analysis of variance is used to analyze the contribution of design variables.
The behavior of the proposed method is compared to the adaptive elitist differential evolution and cuckoo search algorithm through the Wilcoxon signed rank test and Friedman test.
The results determined the weight factors of the mass and rotational angle are about 0.4983 and 0.5017, respectively.
The results found that the optimum the mass and rotational angle are 0.0368 grams and 59.1928 degrees, respectively.
It revealed that the maximum stress of 335 MPa can guarantee a long working time.
The results showed that the proposed hybrid method outperforms compared to other evolutionary algorithms.
The predicted results are close to the validation results.
The proposed method is useful for related engineering fields.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chau, Ngoc Le& Le, Hieu Giang& Dao, Thanh-Phong& Dang, Minh Phung& Dang, Van Anh. 2019. Efficient Hybrid Method of FEA-Based RSM and PSO Algorithm for Multi-Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1194835
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chau, Ngoc Le…[et al.]. Efficient Hybrid Method of FEA-Based RSM and PSO Algorithm for Multi-Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device. Mathematical Problems in Engineering No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1194835
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chau, Ngoc Le& Le, Hieu Giang& Dao, Thanh-Phong& Dang, Minh Phung& Dang, Van Anh. Efficient Hybrid Method of FEA-Based RSM and PSO Algorithm for Multi-Objective Optimization Design for a Compliant Rotary Joint for Upper Limb Assistive Device. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1194835
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1194835
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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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
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