Dr. Yan Feng | Ocean Engineering | Best Researcher Award 

Dr. Yan Feng is a doctoral candidate at Harbin Engineering University, China, specializing in Marine Engineering under the supervision of Prof. XiuJiang Shi. He holds a Bachelor’s degree in Surveying and Mapping Engineering from Shenyang Agricultural University (2014–2018) and has been pursuing his Ph.D. in Energy and Power Engineering since 2018. His research focuses on power plant friction and wear characteristics, including elastohydrodynamic and elastoplastic mixed lubrication modeling, fatigue life prediction of gas turbine bearings, and wear simulation. Dr. Feng has authored several EI and SEI journal publications on scuffing failure, friction, and wear in ball bearings. His expertise spans lubrication failure analysis, bearing dynamics, and hybrid lubrication systems under shock loads.

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Early Academic Pursuits 🎓

Yan Feng’s journey into the world of engineering and tribology began with a strong academic foundation. Born in December 1996 in Harbin, Heilongjiang, he demonstrated an early aptitude for technical studies. His academic pursuits commenced at Shenyang Agricultural University, where he majored in Surveying and Mapping Engineering from 2014 to 2018. During these formative years, he honed his skills in precision measurement and spatial analysis, setting the stage for his advanced research interests.

Eager to delve deeper into the complexities of engineering, he pursued a graduate degree at Harbin Engineering University in the School of Power and Energy Engineering in 2018. His doctoral studies focused on Marine Engineering, under the supervision of Prof. XiuJiang Shi. This rigorous academic training provided him with an extensive understanding of power plant friction, wear characteristics, and their real-world applications.

Professional Endeavors 💼

Yan Feng has dedicated his professional career to energy and power engineering, with a primary focus on tribology, lubrication, and failure analysis in high-performance mechanical systems. His expertise spans various domains, including:

• Lubrication & Failure Analysis:
  • Elastohydrodynamic (EHL) & Elastoplastic Mixed Lubrication Modeling
  • Fatigue Life Prediction for Gas Turbine Bearings Under Impact and Thermal Loads
  • Wear, Pitting, Scuffing, and Surface Degradation Simulation
• Dynamics & Tribology:
  • Bearing Dynamics and Frictional Interface Temperature/Wear Calculation
  • Hybrid Lubrication Systems Under Shock Loads
  • Elastoplastic Lubrication Analysis of Gas Turbine Bearings

His cutting-edge research has addressed key challenges in power plant efficiency, focusing on reducing mechanical failures and enhancing energy performance.

Contributions and Research Focus 🔬

Yan Feng’s research contributions are extensive, particularly in the areas of tribology and lubrication engineering. His work aims to improve the durability and efficiency of gas turbine bearings, a critical component in aerospace, marine, and energy industries. His key research interests include:

• Developing advanced 3D mixed lubrication models for predicting scuffing failure in gas turbine ball bearings.
• Studying the impact of thermal and mechanical loads on bearing life and efficiency.
• Investigating the influence of surface degradation mechanisms like pitting and wear on system performance.
• Enhancing hybrid lubrication systems to withstand extreme shock loads and temperature variations.

Through these contributions, Yan Feng has played a significant role in advancing predictive maintenance technologies, reducing mechanical failures, and optimizing lubrication systems for high-performance machinery.

Accolades and Recognition 🏆

Yan Feng’s scholarly excellence is reflected in his impressive publication record. He has authored multiple research articles in high-impact journals, including:

• EI Journal (First Author): Study on Scuffing Failure of Gas Turbine Ball Bearing Based on 3D Mixed Lubrication and Dynamics
• SEI Journal (First Author): Predictions of Friction and Wear in Ball Bearings Based on a 3D Point Contact Mixed EHL Model
• SEI Journal (First Author): Elastoplastic Lubrication Analysis of Gas Turbine Bearings

His work has gained significant recognition in the scientific community, with researchers citing his contributions to lubrication and tribology. As an emerging leader in his field, his research findings are shaping industry standards for gas turbine lubrication and wear prevention.

Impact and Influence 💡

Beyond academia, Yan Feng’s work has real-world applications, particularly in marine, aerospace, and power generation industries. His research has influenced the development of more durable and energy-efficient turbine bearings, helping industries reduce maintenance costs and extend the operational life of critical components.

His collaborations with top-tier engineering institutions and industry experts have facilitated the integration of advanced lubrication models into industrial applications. Additionally, his technical expertise has contributed to:

• Enhancing fuel efficiency in gas turbines by reducing friction losses.
• Mitigating mechanical failures through predictive wear analysis.
• Improving the reliability of high-speed rotating machinery in extreme conditions.

Legacy and Future Contributions 🌟

Yan Feng’s impact in tribology and energy engineering is just beginning. His future research aims to push the boundaries of smart lubrication technologies, incorporating artificial intelligence (AI) and machine learning to predict wear patterns and optimize lubrication strategies. Additionally, he plans to:

• Develop next-generation tribological materials with self-healing properties.
• Explore nano-lubricants for ultra-low friction applications.
• Pioneer eco-friendly lubrication solutions to reduce environmental impact in industrial operations.

Through continued innovation, Yan Feng aspires to bridge the gap between academic research and industrial applications, ensuring that his findings translate into practical advancements that benefit global energy and power systems.

Conclusion 🔍

Yan Feng’s commitment to engineering excellence and tribological advancements has positioned him as a rising star in the field of energy and power engineering. His contributions to lubrication modeling, failure analysis, and mechanical system optimization have already made a lasting impact on academia and industry alike.

As he continues to push the frontiers of mechanical reliability and efficiency, his research will undoubtedly shape the future of power systems, making them more robust, energy-efficient, and sustainable.

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