PSE Community.org

LAPSE:2023.14681

Research on the Intake Port of a Uniflow Scavenging GDI Opposed-Piston Two-Stroke Engine

Tianyou Pei, Feixue Chen, Shuheng Qiu, Dawei Wu, Weiwei Gao, Zhaoping Xu, Chi Zhang

March 1, 2023

Abstract
The intake port structure optimization is very important for the uniflow scavenging opposed-piston two-stroke engine, as the intake port structure affects the scavenging efficiency and turbulence kinetic energy and thus further impacts the engine indicated efficiency. This paper aims at improving the indicated efficiency, presenting a comprehensive study on the intake port optimization concerning both scavenging efficiency and turbulence kinetic energy. First, a three-dimensional model based on computational fluids dynamics is established and validated. Subsequently, different numbers of intake ports are compared and analyzed from the perspectives of the scavenging efficiency and turbulence kinetic energy. Furthermore, the double-ports intake structure is selected with the consideration of the compact structure and high scavenging efficiency. Then, the radial angle and width of the double-ports structure are optimized based on the response surface method. The results show that the optimized structure increases the turbulence kinetic energy in relative high scavenging efficiency. The indicated efficiency exhibits a significant increase within the speed range of 1000−4000 rpm and reaches the maximum value of 39.5% around 2000 rpm.

Record ID

LAPSE:2023.14681

Keywords

Computational Fluid Dynamics, in-cylinder airflow, opposed-piston engine, two-stroke engine, uniflow scavenging

Subject

Modelling and Simulations

Suggested Citation

Pei T, Chen F, Qiu S, Wu D, Gao W, Xu Z, Zhang C. Research on the Intake Port of a Uniflow Scavenging GDI Opposed-Piston Two-Stroke Engine. (2023). LAPSE:2023.14681

Author Affiliations

Pei T: Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China; University of Chinese Academy of Sciences, Beijing 100080, China; Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Tech [ORCID]
Chen F: Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China; University of Chinese Academy of Sciences, Beijing 100080, China; Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Tech
Qiu S: Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China; Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology, Chinese Academy of Sciences, Ningbo 315201, China
Wu D: School of Engineering, University of Birmingham, Birmingham B15 2TT, UK
Gao W: Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China; Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology, Chinese Academy of Sciences, Ningbo 315201, China
Xu Z: School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
Zhang C: Ningbo Institute of Materials Technology and Engineering, Chinese Academy of Sciences, Ningbo 315201, China; Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology, Chinese Academy of Sciences, Ningbo 315201, China

Journal Name

Energies

Volume

Issue

First Page

2148

Year

2022

Publication Date

2022-03-15

DOI:

https://doi.org/10.3390/en15062148