Optimization for Cavitation Inception Performance of Pump-Turbine in Pump Mode Based on Genetic Algorithm
المؤلفون المشاركون
Xiao, Ruofu
Wang, Fujun
Liu, Weichao
Yang, Wei
Tao, Ran
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-09-25
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Cavitation is a negative factor of hydraulic machinery because of its undesirable effects on the operation stability and safety.
For reversible pump-turbines, the improvement of cavitation inception performance in pump mode is very important due to the strict requirements.
The geometry of blade leading edge is crucial for the local flow separation which affects the scale and position of pressure drop.
Hence, the optimization of leading edge shape is helpful for the improvement of cavitation inception performance.
Based on the genetic algorithm, optimization under multiple flow rate conditions was conducted by modifying the leading edge ellipse ratio and blade thickness on the front 20% meanline.
By using CFD simulation, optimization was completed with obvious improvements on the cavitation inception performance.
CFD results show that the pressure drop location had moved downstream with the increasement of the minimum pressure coefficient.
Experimental verifications also got an obvious enhancement of cavitation inception performance.
The stability and safety was improved by moving the cavitation inception curve out of the operating range.
This optimization is proved applicable and effective for the engineering applications of reversible pump-turbines.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tao, Ran& Xiao, Ruofu& Yang, Wei& Wang, Fujun& Liu, Weichao. 2014. Optimization for Cavitation Inception Performance of Pump-Turbine in Pump Mode Based on Genetic Algorithm. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1044101
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tao, Ran…[et al.]. Optimization for Cavitation Inception Performance of Pump-Turbine in Pump Mode Based on Genetic Algorithm. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1044101
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tao, Ran& Xiao, Ruofu& Yang, Wei& Wang, Fujun& Liu, Weichao. Optimization for Cavitation Inception Performance of Pump-Turbine in Pump Mode Based on Genetic Algorithm. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1044101
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1044101
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