Open AccessMultidisciplinary design optimization analysis of pin fins based on the Monte Carlo simulation
Author(s) -
Zhenbei Zhao,
Wenguang Hu,
J. B. Wang
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/770/1/012091
Subject(s) - monte carlo method , fin , constraint (computer aided design) , diamond , heat exchanger , multidisciplinary design optimization , blade (archaeology) , materials science , stress (linguistics) , mechanics , mechanical engineering , structural engineering , engineering , multidisciplinary approach , physics , mathematics , composite material , social science , linguistics , statistics , philosophy , sociology
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.