Load simulation and experimentation of two-stage reciprocating air compressor drive system

Abstract In this paper, an electromechanical coupling method is proposed to simulate the torque load of a reciprocating compressor drive system, and the feasibility of the method is verified by carrying a reverse torque test platform. The load torque of the motor drive shaft under three different exhaust pressures of 0.6 MPa, 1 MPa, and 1.8 MPa were simulated and tested, respectively, and the results show that the load fluctuation of the 1 MPa condition has the least influence, which is the optimal condition for this compressor.

Authors

Institutions

Publication Details

Journal
Journal of Physics Conference Series
Published
2025-08-01
DOI
https://doi.org/10.1088/1742-6596/3068/1/012029
Primary Topic
Refrigeration and Air Conditioning Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Load simulation and experimentation of two-stage reciprocating air compressor drive system

Jianjun Tan, L. Li, Ming Zhang, Zhenghao Ge et al.
Journal of Physics Conference Series
Refrigeration and Air Conditioning Technologies
article

Load simulation and experimentation of two-stage reciprocating air compressor drive system

Jianjun Tan, L. Li, Ming Zhang, Zhenghao Ge, Jiacheng Liu
article en

Abstract

Abstract In this paper, an electromechanical coupling method is proposed to simulate the torque load of a reciprocating compressor drive system, and the feasibility of the method is verified by carrying a reverse torque test platform. The load torque of the motor drive shaft under three different exhaust pressures of 0.6 MPa, 1 MPa, and 1.8 MPa were simulated and tested, respectively, and the results show that the load fluctuation of the 1 MPa condition has the least influence, which is the optimal condition for this compressor.

Journal of Physics Conference SeriesVol. 3068(1)
Anhui Conch Design and Research Institute of Building Materials (China) (CN), Shaanxi University of Science and Technology (CN)
Openalex Percentile: Top 80%
Refrigeration and Air Conditioning Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.