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应用AVL BOOST建模优化柴油消防泵系统的发动机工作负荷和传动系统传动比。

Application of AVL BOOST modeling to optimize the engine working load and drivetrain transmission ratio of the diesel firefighting pump system.

作者信息

Hong Thong Duc, Nguyen Binh Nhat, Truong Phat Tan, Do Son Hoang, Pham Minh Quang, Vu Thang Viet

机构信息

Faculty of Transportation Engineering, Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh City, Viet Nam.

Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City, Viet Nam.

出版信息

Heliyon. 2024 Dec 6;10(24):e41029. doi: 10.1016/j.heliyon.2024.e41029. eCollection 2024 Dec 30.

DOI:10.1016/j.heliyon.2024.e41029
PMID:39720033
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11665454/
Abstract

The drivetrain is an essential component of the diesel firefighting pump system, affecting the engine's operating mode, power, economy, and environment. This study proposes a process to design and optimize the transmission ratio and working load of the diesel firefighting pump system. AVL BOOST software was used to model the 6-cylinder diesel engine and analyze the performance characteristics at its partial loads as parameters for finding the optimal transmission ratio of the drivetrain. The optimal transmission ratio determined in this work is 1:1.2, along with engine partial load mode of 57 %, which can improve the engine's fuel efficiency by 8 % compared to the 1:1 transmission ratio. A belt drive is calculated and designed to transfer power between the engine and the firefighting pump. The optimal drivetrain transmission ratio and engine working mode can increase the fuel economy and lifespan of the engine, decrease the engine's maintenance costs, and reduce environmental pollution and greenhouse gases.

摘要

传动系统是柴油消防泵系统的一个重要组成部分，影响着发动机的运行模式、功率、经济性和环境。本研究提出了一种设计和优化柴油消防泵系统传动比和工作负荷的方法。采用AVL BOOST软件对六缸柴油发动机进行建模，并分析其部分负荷下的性能特性，作为确定传动系统最佳传动比的参数。本研究确定的最佳传动比为1:1.2，发动机部分负荷模式为57%，与1:1传动比相比，可提高发动机燃油效率8%。计算并设计了一种带传动，用于在发动机和消防泵之间传递动力。最佳传动系统传动比和发动机工作模式可提高发动机的燃油经济性和使用寿命，降低发动机的维护成本，并减少环境污染和温室气体排放。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/cfe1bf3acedc/gr12.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/426b2b9a4428/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/cfe1bf3acedc/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/280bf2d22bb0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/ea0f5bf28926/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/8d6ad7aee6af/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/ec008f1cc7fc/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/fe4f40b77346/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/ebb91e7845da/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/ed9c8e2d87c2/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/74e3283e4ac2/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/47796575c191/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/11eeeafada4e/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/426b2b9a4428/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80a4/11665454/cfe1bf3acedc/gr12.jpg

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