journal article·2025-03-17Open access

Integrated Multibody Dynamics and Experimental Validation Study for a Novel Heavy-Duty Diesel Engine Valvetrain Design

Mehmet Asım Özlen, Orkun Özener

Applied Sciences· Volume 15· Issue 6

Abstract

High-powered, heavy-duty diesel engines are widely used in transportation, construction, railways, and marine applications. Optimizing valvetrain dynamics is crucial for improving fuel efficiency and reducing emissions. This study presents an integrated multibody dynamics (MBD) and experimental validation approach for a novel heavy-duty diesel engine valvetrain design. The development of the kinematic and dynamic models was motivated by the necessity to analyze valvetrain behavior, identify operational challenges, and optimize key parameters such as the position of the elephant foot and valve lift. The optimized design was validated through experimental testing using vibration measurements at multiple engine points. The results demonstrate that the proposed modifications effectively mitigate valve bounce, improve stability, and enhance engine performance. The validated model provides a foundation for further advancements in valvetrain optimization, contributing to improved efficiency in heavy-duty diesel engines.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Mechanical Engineering and Vibrations Research · Soil Mechanics and Vehicle Dynamics · Vehicle Dynamics and Control Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering, Yildiz Technical University, Barbaros Bulvari, 34349 Istanbul, Türkiye

References (23)

Show source-provided references
1. Friction modelling in an engine valve train considering the sensitivity to lubricant formulation10.1243/13506501JET540 ↗
2. Lee, W., Jung, T.Y., and Lee, S. (2023). Dynamic Characteristics Prediction Model for Diesel Engine Valve Train Design Parameters Based on Deep Learning. Electronics, 12.10.3390/electronics12081806 ↗
3. An enhanced flexible dynamic model and experimental verification for a valve train with clearance and multi-directional deformations10.1016/j.jsv.2017.08.016 ↗
4. Prediction and validation of dynamic characteristics of a valve train system with flexible components and gyroscopic effect10.1016/j.mechmachtheory.2020.104222 ↗
5. Experimental analysis of maximum valve lift effects in cam-follower system for internal combustion engines10.1007/s12206-014-0805-z ↗
6. Effect of valvetrain components misalignment on valve and guide interactions in automotive engines10.4271/2017-01-1082 ↗
7. Andreatta, É.C., and Pederiva, R. (2016). Valve Train Kinematic and Dynamic Simulation, SAE International. Technical Report, SAE Technical Paper.10.4271/2016-36-0213 ↗
8. Stability analysis for nonlinear valve train systems in automotive engines10.1007/s00419-020-01791-3 ↗
9. John, A.P., and Agarwal, V.K. (2014). Evaluation and Comparative Study of ValveTrain Layouts with Different Rocker Ratio, SAE Technical Paper. Technical Report.10.4271/2014-01-2877 ↗
10. Eret, A. (2024). Valve Dynamic Investigations and Measurements. Dynamic and Fatigue Assessment of Heavy-Duty Engine Valves, Springer.10.1007/978-3-031-49151-1 ↗
11. Ryan, R. (1990). ADAMS—Multibody system analysis software. Multibody Systems Handbook, Springer.10.1007/978-3-642-50995-7_21 ↗
12. Ortmann, C., and Skovbjerg, H. (2000, January 15–27). Powertrain analysis applications using ADAMS/Engine powered by FEV Part I: Valve spring. Proceedings of the International Adams Users Conference, Rome, Italy.
13. Advanced optimization techniques in valvetrain design
14. Yakovenko, A., Shatrov, M., Alekseev, I., Predein, A., and Trofimenko, Y.V. (2022, January 15–17). Research of diesel structure-borne noise using modern modeling methods. Proceedings of the 2022 Systems of Signals Generating and Processing in the Field of on Board Communications, Moscow, Russia.10.1109/IEEECONF53456.2022.9744362 ↗
15. Klarin, B., Vock, C., Nolfe, C., De Stefanis, D., Cardone, C., Pappalardo, T., and Grasso, C. (2005). Enhanced Power Unit NVH Simulation with MBD Solver AVL EXCITE, SAE Technical Paper. Technical Report.10.4271/2005-24-016 ↗
16. Multi-sensor signals multi-scale fusion method for fault detection of high-speed and high-power diesel engine under variable operating conditions10.1016/j.engappai.2023.106912 ↗
17. Lin, T., and Tan, A. (2011, January 24–26). Characterizing the signal pattern of a four-cylinder diesel engine using acoustic emission and vibration analysis. Proceedings of the World Conference on Acoustic Emission-2011 (WCAE-2011), Beijing, China.
18. Lakshminarayanan, P., and Agarwal, A.K. (2019). Design and Development of Heavy Duty Diesel Engines: A Handbook, Springer Nature.10.1007/978-981-15-0970-4 ↗
19. A review on combustion and vibration condition monitoring of IC engine10.1016/j.matpr.2020.10.093 ↗
20. Dynamics and vibration measurements in engines10.1016/j.promfg.2018.02.063 ↗
21. Armentani, E., Caputo, F., Esposito, L., Giannella, V., and Citarella, R. (2018). Multibody simulation for the vibration analysis of a turbocharged diesel engine. Appl. Sci., 8.10.20944/preprints201805.0223.v1 ↗
22. Hu, B., Li, Y., and Yin, L. (2021). Theoretical and Experimental Analysis of Dynamic Characteristics for a Valve Train System. Sensors, 21.10.3390/s21196328 ↗
23. Jelenschi, L., Scutaru, M.L., Marin, M., and Cofaru, C. (2022). Modelling the Valvetrain of the Car Engine to Study the Effects of Valve Rotation. Appl. Sci., 12.10.3390/app12073393 ↗