Hiroyasu Yoneyama
Hitachi
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Featured researches published by Hiroyasu Yoneyama.
Volume 1A, Symposia: Advances in Fluids Engineering Education; Advances in Numerical Modeling for Turbomachinery Flow Optimization; Applications in CFD; Bio-Inspired Fluid Mechanics; CFD Verification and Validation; Development and Applications of Immersed Boundary Methods; DNS, LES, and Hybrid RANS/LES Methods | 2013
Taku Iwase; Hideshi Obara; Hiroyasu Yoneyama; Yoshinobu Yamade; Chisachi Kato
Flow fields in a centrifugal fan for an indoor unit of an air-conditioner were calculated with finite element method-based large eddy simulation (LES) with the aim of predicting fan performance and aerodynamic noise in this study. The numerical simulation code employed throughout the LES was called FrontFlow/blue (FFB). We compared 10M grid [coarse grid] and 60M grid [fine grid] calculation results for investigation of influence of grid resolution. In the fine grid, the number of grid elements in blade-to-blade direction, and of region between the shroud and the bell mouth increased in particular. By calculating with the fine grid, calculated distributions of absolute velocities at blade exit reasonably agreed with experimental results. Because of this, maximum absolute velocity by fine grid near hub decreased as compared to those by coarse grid. Calculated sound pressure level by fine grid was therefore smaller than that by coarse grid, and the overestimation of sound pressure was suppressed by calculating with fine grid. This decrease of the absolute velocity was a first factor for the improvement of calculation accuracy. Moreover, number of captured streaks on the blade, hub, and shroud surfaces by fine grid increased as compared to those by coarse grid. As a result, size of streak by fine grid became smaller than that by coarse grid. Static pressure fluctuations by fine grid on the blade, hub, and shroud surfaces therefore reduced as compared to those by coarse grid. Aerodynamic noise was related to static pressure fluctuations according to Curle’s equation. This reduction of static pressure fluctuations was therefore a second factor for improvement of calculation accuracy.© 2013 ASME
Archive | 1995
Shunji Sasaki; Atsuhiro Kobayashi; Hideki Okuzono; Futoshi Kawamura; Masahiro Ito; Hiroyasu Yoneyama; Kazuhisa Yagi
Archive | 1993
Masamichi Hanada; Makoto Nagai; Shinya Okabe; Joji Okamoto; Toshiharu Sasaki; Ryoji Sato; Shinichi Shimoide; Yoshihiro Takada; Hirokiyo Terada; Masatoshi Watanabe; Hiroyasu Yoneyama; 新一 下出; 俊治 佐々木; 良次 佐藤; 浩清 寺田; 譲治 岡本; 信也 岡部; 昌俊 渡辺; 裕康 米山; 正道 花田; 誠 長井; 芳廣 高田
Archive | 2006
Shigehisa Funabashi; Hiroshi Iwase; Hideji Ohara; Hiroyasu Yoneyama; 秀司 尾原; 拓 岩瀬; 裕康 米山; 茂久 舩橋
Archive | 2012
Baiying Huang; Hiroyasu Yoneyama; Kazuo Sakurai
Archive | 2012
Baiying Huang; Ryoji Sato; Hiroyasu Yoneyama
Archive | 2005
Tetsushi Kishitani; Katsuaki Nagahashi; Makoto Nagai; Hideji Ohara; Hiroki Ota; Ryoji Sato; Hiroyasu Yoneyama; 良次 佐藤; 裕樹 太田; 秀司 尾原; 哲志 岸谷; 裕康 米山; 誠 長井; 克章 長橋
Archive | 1995
Tetsushi Kishitani; Katsuaki Nagahashi; Hideji Ohara; Hiroki Ota; Ryoji Sato; Hiroyasu Yoneyama; 良次 佐藤; 裕樹 太田; 秀司 尾原; 哲志 岸谷; 裕康 米山; 克章 長橋
Archive | 2015
Daiwa Sato; Taku Iwase; Hiroyasu Yoneyama; Naoyuki Fushimi; Hideshi Obara
The Proceedings of The Computational Mechanics Conference | 2013
Taku Iwase; Isao Hagiya; Hideshi Obara; Hiroyasu Yoneyama; Yoshinobu Yamade; Chisachi Kato