Multidisciplinary design optimization analysis of pin fins based on the Monte Carlo simulation. Issue 1 (February 2020)

• Record Type: Journal Article
• Authors: Zhao, Z Y; Hu, W B; Wang, J B
• Is Part Of: IOP conference series. Volume 770:Issue 1(2020)
• Publication Date: 2020-02
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/770/1/012091
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: For aero-engines, pin fins improve the heat exchange efficiency of blades but increase their mass. To reduce the mass of blades, three types of pin fin models (diamond, elliptical, and rectangular) were used in this paper to analyze the stress distribution under the combined action of temperature and centrifugal force. The maximum stress was used as the constraint condition in these models. With the aim of mass optimization, these models were subjected to the multidisciplinary design optimization based on the Monte Carlo simulation. After the optimization via diamond, elliptical, and rectangular models, the pin fin mass was reduced by 15.42, 19.42, and 16.03%, respectively.