An improved model for primary prediction of performance map for turbocharger radial turbine

涡轮增压器 涡轮机 小学(天文学) 计算机科学 工程类 物理 航空航天工程 天体物理学
作者
Mohamed Amine El Hameur,Mahfoudh Cerdoun,Lyes Tarabet
标识
DOI:10.1177/09544070241246836
摘要

In the contemporary landscape, possessing an intricate understanding of the performance characteristics of turbocharger radial turbine proves invaluable during engine development phases, to improve predictive capabilities of calculation codes and enhance the critical process of matching engines with turbochargers. This research deals with offering two precise yet straightforward analytical functions intended to generate comprehensive performance maps of turbocharger turbines. This is achieved through a refined adjustment of a preexisting analytical function, after introducing an inventive multiplication factor that aligns numerical calculations with experimental data to predict the turbine’s expansion ratio. Besides, a second analytical function forecasts the turbine’s thermo-mechanical efficiency by establishing a power balance equation between the turbine and supplied compressor map. The outcome of the developed model is compared with existing method on two distinct turbochargers, encompassing various rotational speeds. Additionally, a sensitive analysis aiming to detect the most important factors affecting our developed model while exploring it possible validity range for different thermodynamic parameters. The results indicate that the two functions yield reliable estimations of turbine performance, with maximum; root mean square error, R 2 , and mean absolute percentage error indices find around 9.47%, 0.993, and 9.03% for the turbine expansion ratio, and about 4.42%, 0.612, and 19.78% for efficiency prediction. This novel model enhances simulation accuracy while preserving user-friendliness and robustness based on the prerequisite of limited geometric and thermodynamic parameters at the turbocharger boundaries. Finally, the main advantages of the proposed model is its adaptability for the implementation in calculation codes, turbomachinery optimization strategies and assessments of the design and performance, addressing scenarios where the original turbine maps are rarely provided by turbocharger manufacturers.
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
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
刚刚
10完成签到,获得积分10
1秒前
科研狗发布了新的文献求助10
1秒前
1秒前
1秒前
fpwx发布了新的文献求助10
1秒前
irobot发布了新的文献求助10
1秒前
94发布了新的文献求助10
1秒前
俊逸盛男完成签到,获得积分10
2秒前
style完成签到,获得积分10
2秒前
WHY发布了新的文献求助10
2秒前
自信的芝麻完成签到,获得积分10
3秒前
3秒前
今后应助Jerry采纳,获得10
3秒前
4秒前
4秒前
5秒前
李健应助迷路又菱采纳,获得10
5秒前
Hello应助清爽的诗云采纳,获得10
5秒前
6秒前
6秒前
Tzzl0226发布了新的文献求助10
6秒前
8秒前
CipherSage应助府中园马采纳,获得10
8秒前
江鳞发布了新的文献求助20
8秒前
负责的大白菜真实的钥匙完成签到 ,获得积分10
8秒前
luckyzhyw完成签到,获得积分20
9秒前
Jianzhi完成签到,获得积分10
10秒前
10秒前
11秒前
molihuakai应助Cici采纳,获得10
12秒前
12秒前
12秒前
ZhangQQ完成签到,获得积分10
12秒前
dd完成签到,获得积分10
12秒前
arniu2008应助哈哈采纳,获得20
13秒前
汉堡包应助wxj采纳,获得10
13秒前
13秒前
13秒前
13秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Autoparametric Resonance in Mechanical Systems 1000
Effects of Two Weeks of Red Light Therapy on Choroidal Thickness and Axial Length in Young Adults 700
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rutherford's Vascular Surgery and Endovascular Therapy, 2‑Volume Set, 11th Edition 480
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7665262
求助须知:如何正确求助?哪些是违规求助? 9235302
关于积分的说明 19872409
捐赠科研通 7234403
什么是DOI,文献DOI怎么找? 3283403
关于科研通互助平台的介绍 2442276
邀请新用户注册赠送积分活动 2284476