Numerical Investigation of the Effect of Trailing Edge Thickness of Simulated CMC Blades on Loss Profiles

后缘 GSM演进的增强数据速率 材料科学 机械 复合材料 计算机科学 物理 电信
作者
Kenji Miki,Ali Ameri
出处
期刊:Journal of turbomachinery [ASM International]
卷期号:: 1-24
标识
DOI:10.1115/1.4065184
摘要

Abstract Ceramic Matrix Composite (CMC) is an enabling material allowing higher turbine inlet temperatures and possibly resulting in better thermal efficiency of gas turbine engines. This is because CMC layers with environmental barrier coating (EBC) have significantly higher thermal limits (∼1755K) compared with the more conventional alloyed metallic blades. CMCs possess a complex fabrication process resulting in different geometrical characteristics than metallic blades (e.g., larger trailing edge thickness, large leading-edge curvature, etc.). It is therefore desirable to assess the aerodynamic performance of the CMC blades using experimental and numerical simulations. To investigate, three different CMC blades with varying trailing edge thicknesses were numerically simulated. Both Large Eddy simulation (LES) with the dynamic subgrid closure as well a recently implemented Reynolds averaged Navier-Stokes (RANS) coupled with an intermittency function-based transition model were utilized. Two sets of experimental test points with different Reynolds numbers at a given high-free stream turbulence range (Tu=∼10-13%) were considered. The LES was previously validated by comparing with experimental data. The RANS transition model was validated against the experimental data of the Stripf's for a turbine blade. The predicted pressure loading profiles, total loss distributions, and integrated loss of the three different CMC blades were computed and comparisons against the experimental data are presented herein. The mixing and boundary layer loss was evaluated by both the RANS and LES and was found that the mixing loss forms a larger proportion of the overall loss as the trailing edge thickness increases.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小菡菡完成签到,获得积分10
2秒前
3秒前
成就的白羊完成签到,获得积分10
3秒前
CodeCraft应助科研通管家采纳,获得10
5秒前
脑洞疼应助科研通管家采纳,获得10
5秒前
5秒前
地表飞猪应助科研通管家采纳,获得10
5秒前
科研通AI2S应助科研通管家采纳,获得10
5秒前
传奇3应助科研通管家采纳,获得10
5秒前
情怀应助科研通管家采纳,获得10
5秒前
英俊的铭应助科研通管家采纳,获得10
5秒前
YamDaamCaa应助科研通管家采纳,获得30
5秒前
5秒前
orixero应助科研通管家采纳,获得10
5秒前
大个应助科研通管家采纳,获得10
5秒前
SciGPT应助科研通管家采纳,获得10
5秒前
6秒前
所所应助过氧化氢采纳,获得10
8秒前
青山发布了新的文献求助50
9秒前
9秒前
大白发布了新的文献求助10
9秒前
9秒前
热情的达完成签到,获得积分10
9秒前
酷波er应助十九岁的时差采纳,获得10
9秒前
gj发布了新的文献求助10
10秒前
Hairee发布了新的文献求助10
10秒前
momo发布了新的文献求助10
14秒前
称心尔曼完成签到,获得积分10
15秒前
17秒前
19秒前
谷蓝完成签到,获得积分10
19秒前
21秒前
希望天下0贩的0应助Hairee采纳,获得10
22秒前
Rondab应助ali采纳,获得30
23秒前
懒羊羊完成签到,获得积分10
23秒前
好吃完成签到,获得积分20
23秒前
好吃发布了新的文献求助10
26秒前
26秒前
27秒前
28秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989297
求助须知:如何正确求助?哪些是违规求助? 3531418
关于积分的说明 11253893
捐赠科研通 3270097
什么是DOI,文献DOI怎么找? 1804884
邀请新用户注册赠送积分活动 882087
科研通“疑难数据库(出版商)”最低求助积分说明 809158