Dewen Jia
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Dewen Jia has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Wei Deng
Yunnan Key Laboratory of Internal Combustion Engine, Kunming University of Science and Technology, Kunming 650500, China
2 shared publications - Xiwen Deng
Yunnan Key Laboratory of Internal Combustion Engine, Kunming University of Science and Technology, Kunming 650500, China
2 shared publications - Chengkun Li
Yunnan Key Laboratory of Internal Combustion Engines, Kunming University of Science and Technology, Kunming 650500, China
1 shared publication - Huiping Ji
Yunnan Xiyi Industrial Co., Ltd., Kunming 650114, China
1 shared publication - Huiping Ji
Jianshe Industry Group (Yunnan) Co., Ltd., Kunming 650114, China
1 shared publication - Jilin Lei
Yunnan Key Laboratory of Internal Combustion Engine, Kunming University of Science and Technology, Kunming 650500, China
1 shared publication
Latest Publications
- Open Access
Design and Kinematic Characterization of Connecting Rod Set for Variable Compression Ratio Engines
The aim of this study is to design and analyze a variable compression ratio (VCR) technology gasoline engine variable compression ratio connecting rod set and to verify its kinematic properties through numerical simulations. This study first constructs a mathematical model of the VCR connecting rod set and derives its kinematic equations. Numerical simulations were carried out using MATLAB R2022b software to analyze the kinematic state of the piston under different compression ratio conditions. The results show that the equations of motion of the VCR mechanism realize continuously variable compression ratios from 8 to 14, which provides a valuable reference for the study of overall engine performance control. This study also verified the accuracy of the theoretical model through the multibody dynamics software ADAMS 2020 to ensure the reliability of the model. The results of this study show that the piston position is jointly influenced by the crankshaft angle and the control shaft angle, and a change in the control shaft angle leads to a change in the piston upper and lower stop positions and stroke. With the increase in the control shaft angle, the maximum velocity (absolute value) of the piston gradually decreases, while the maximum acceleration (absolute value) gradually increases. The results of this study provide important reference data for the development of variable compression ratio engines.
Open AccessDesign and Kinematic Characterization of Connecting Rod Set for Variable Compression Ratio Engines
The aim of this study is to design and analyze a variable compression ratio (VCR) technology gasoline engine variable compression ratio connecting rod set and to verify its kinematic properties through numerical simulations. This study first constructs a mathematical model of the VCR connecting rod set and derives its kinematic equations. Numerical simulations were carried out using MATLAB R2022b software to analyze the kinematic state of the piston under different compression ratio conditions. The results show that the equations of motion of the VCR mechanism realize continuously variable compression ratios from 8 to 14, which provides a valuable reference for the study of overall engine performance control. This study also verified the accuracy of the theoretical model through the multibody dynamics software ADAMS 2020 to ensure the reliability of the model. The results of this study show that the piston position is jointly influenced by the crankshaft angle and the control shaft angle, and a change in the control shaft angle leads to a change in the piston upper and lower stop positions and stroke. With the increase in the control shaft angle, the maximum velocity (absolute value) of the piston gradually decreases, while the maximum acceleration (absolute value) gradually increases. The results of this study provide important reference data for the development of variable compression ratio engines.
- Open Access
- 30 September 2024
- Published by MDPI AG in Lubricants
- Vol. 12 (10) , 336
Synergistic Effects of Surface Texture and Cryogenic Treatment on the Tribological Performance of Aluminum Alloy Surfaces
In order to improve the tribological properties of the 7075-T6 aluminum alloy used on the rotor surface, a combined method of cryogenic treatment and laser surface texture treatment was applied. Various tests, including metallographic microscopy, scanning electron microscopy, elemental analysis, microhardness measurements, were conducted to examine the wear morphology and modification mechanism of the treated 7075-T6 aluminum alloy surface. A numerical simulation model of surface texture was established using computational fluid dynamics to analyze the lubrication characteristics of V-shaped texture. The research finding that the 7075-T6 aluminum alloy experienced grain refinement during the cryogenic treatment process, enhancing the wear resistance of the V-shaped textures. This improvement delayed the progression of fatigue wear, abrasive wear, and oxidative wear, thereby reducing friction losses. The designed V-shaped texture contributes to reducing contact area, facilitating the capture and retention of abrasives, and enhancing oil film load-bearing capacity, thereby improving tribological performance. The synergistic effect of cryogenic treatment reduced the friction coefficient by 24.8% and the wear loss by 66.4%. Thus, the combination of surface texture and cryogenic treatment significantly improved the tribological properties of the 7075-T6 aluminum alloy.
- 30 September 2024
- Published by MDPI AG in Lubricants
- Vol. 12 (10) , 336
Open AccessSynergistic Effects of Surface Texture and Cryogenic Treatment on the Tribological Performance of Aluminum Alloy Surfaces
In order to improve the tribological properties of the 7075-T6 aluminum alloy used on the rotor surface, a combined method of cryogenic treatment and laser surface texture treatment was applied. Various tests, including metallographic microscopy, scanning electron microscopy, elemental analysis, microhardness measurements, were conducted to examine the wear morphology and modification mechanism of the treated 7075-T6 aluminum alloy surface. A numerical simulation model of surface texture was established using computational fluid dynamics to analyze the lubrication characteristics of V-shaped texture. The research finding that the 7075-T6 aluminum alloy experienced grain refinement during the cryogenic treatment process, enhancing the wear resistance of the V-shaped textures. This improvement delayed the progression of fatigue wear, abrasive wear, and oxidative wear, thereby reducing friction losses. The designed V-shaped texture contributes to reducing contact area, facilitating the capture and retention of abrasives, and enhancing oil film load-bearing capacity, thereby improving tribological performance. The synergistic effect of cryogenic treatment reduced the friction coefficient by 24.8% and the wear loss by 66.4%. Thus, the combination of surface texture and cryogenic treatment significantly improved the tribological properties of the 7075-T6 aluminum alloy.
- Open Access
- 12 July 2023
- Published by MDPI AG in Lubricants
- Vol. 11 (7) , 293
Effects of Hyperelliptic Bearings Bush on Connecting Rod Big-End Lubrication and Design Optimization
Aiming at the impact of bearing bushes on the lubrication and friction and wear of diesel engine connecting rod big-end bearings, a certain type of diesel engine connecting rod big-end bearing bush was taken as the research object and a multi-body dynamics numerical calculation model of the connecting rod group was built. The connecting rod big-end bearing bushes with four profiles: exponential, hyperelliptic, barrel and trapezoid were used to study the effect on bearing lubrication. The study found that the hyperelliptic bush has the best lubrication performance for the connecting rod big-end bearing. On the basis of the hyperelliptic bush, the bearing clearance, bearing width, journal oil hole diameter and oil supply pressure are used as design variables, using the Box–Behnken experimental design and radial basis function (RBF) neural network method to construct an approximate multi-objective model, which the minimum oil film thickness (abbreviated as MOFT) and average rough contact effective pressure are the objectives. A non-dominated sorting genetic algorithm (NSGA-II) is used for multi-objective optimization. The optimization results show that the bearing clearance remains basically unchanged, the bearing width, journal oil hole diameter and oil supply pressure increase, so that MOFT of the connecting rod big-end bearing rises from 1.56 μm to 1.97 μm, and the average rough contact effective pressure increases from 3.97 MPa decreases to 0.25 MPa. The research results can provide a reference for the analysis and optimization of the lubrication performance of the connecting rod big-end bearing.
- 12 July 2023
- Published by MDPI AG in Lubricants
- Vol. 11 (7) , 293
Open AccessEffects of Hyperelliptic Bearings Bush on Connecting Rod Big-End Lubrication and Design Optimization
Aiming at the impact of bearing bushes on the lubrication and friction and wear of diesel engine connecting rod big-end bearings, a certain type of diesel engine connecting rod big-end bearing bush was taken as the research object and a multi-body dynamics numerical calculation model of the connecting rod group was built. The connecting rod big-end bearing bushes with four profiles: exponential, hyperelliptic, barrel and trapezoid were used to study the effect on bearing lubrication. The study found that the hyperelliptic bush has the best lubrication performance for the connecting rod big-end bearing. On the basis of the hyperelliptic bush, the bearing clearance, bearing width, journal oil hole diameter and oil supply pressure are used as design variables, using the Box–Behnken experimental design and radial basis function (RBF) neural network method to construct an approximate multi-objective model, which the minimum oil film thickness (abbreviated as MOFT) and average rough contact effective pressure are the objectives. A non-dominated sorting genetic algorithm (NSGA-II) is used for multi-objective optimization. The optimization results show that the bearing clearance remains basically unchanged, the bearing width, journal oil hole diameter and oil supply pressure increase, so that MOFT of the connecting rod big-end bearing rises from 1.56 μm to 1.97 μm, and the average rough contact effective pressure increases from 3.97 MPa decreases to 0.25 MPa. The research results can provide a reference for the analysis and optimization of the lubrication performance of the connecting rod big-end bearing.