Gang Li | Mechanical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Gang Li | Mechanical Engineering | Best Researcher Award

Associate professor, Northeast Electric Power University, China

🔬 Assoc. Prof. Dr. Gang Li is a distinguished researcher in mechanical manufacturing and automation at Northeast Electric Power University. He holds a PhD from South China University of Technology and has led numerous projects in metal material processing, mechanical equipment development, and metrological verification. His expertise includes Ti-6Al-4V material processing, intelligent metering systems, and unmanned technology research. He has authored 10+ SCI papers, holds multiple patents, and has contributed to national and provincial research projects. Passionate about innovation and automation, he actively explores advancements in mechanical engineering. ✨🔧📡

 

Publication Profile

Scopus

🎓 Educational Background

Assoc. Prof. Dr. Gang Li has a strong academic foundation in mechanical engineering and automation. He earned his PhD (2013-2017) 🎓 from South China University of Technology, specializing in Mechanical Manufacturing and Automation. Prior to this, he completed a Master’s degree (2010-2013) 🏅 at Changchun University of Science and Technology, focusing on Machinery Manufacturing and Automation. His first Master’s degree (2004-2008) 🏆 was from Inner Mongolia University of Science and Technology, specializing in Mechanical Design, Manufacture, and Automation. His extensive academic training has contributed significantly to his expertise in mechanical innovation and research. 🔧📡

🔬 Project Experience

Assoc. Prof. Dr. Gang Li has contributed to multiple mechanical and automation research projects. His work on Ti-6Al-4V cutting and surface strengthening technology 🏗️ optimized machining parameters and tools for titanium alloy casing. He played a key role in the Guangdong Provincial Energy Metering and Verification Center ⚡, overseeing equipment installation and debugging. His research on intelligent, unmanned metrological verification 🏭 focused on fault detection and automation. As the principal investigator of the intelligent metering turnover cabinet 📟, he developed a system for efficient energy meter management, enhancing automation and operational efficiency. 🔧🚀

🔬 Research Focus

Assoc. Prof. Dr. Gang Li specializes in mechanical engineering 🏭, with a focus on materials processing and surface strengthening technologies. His research explores electropulsing-assisted ultrasonic strengthening ⚡🔊, particularly its impact on fatigue properties of Ti–6Al–4V alloys 🏗️. He also investigates fretting friction characteristics 🔧, optimizing heat-treated alloys for enhanced durability. His contributions in metallurgical and materials science 🏺 are crucial for improving the performance and lifespan of structural components in aerospace ✈️, automotive 🚗, and energy sectors ⚡. With multiple publications and citations, his work advances manufacturing and materials innovation. 🚀

Publication Top Notes

Effect of Electropulsing-Assisted Ultrasonic Strengthening on Fatigue Properties of HIP Ti–6Al–4V Alloy

Study on surface fretting friction properties of heat-treated HIP Ti-6Al-4 V alloy after heating-assisted ultrasonic surface strengthening

Mohammad Baraheni | Mechanical Engineering | Best Researcher Award

Published on by Academic Awards

Assist. Prof. Dr. Mohammad Baraheni | Mechanical Engineering | Best Researcher Award

Assist. Prof. Dr. Mohammad Baraheni, Arak University of Technology, Iran

Assist. Prof. Dr. Mohammad Baraheni 👨‍🏫 is an Assistant Professor at Arak University of Technology, specializing in Mechanical Engineering, particularly in Production & Manufacturing. He holds a PhD from the University of Kashan, focusing on rotary ultrasonic machining. His research interests include ultrasonic machining, additive manufacturing, artificial intelligence in manufacturing, and advanced ceramics. Dr. Baraheni has published extensively in international journals and received accolades such as the Excellent Paper Award at ISAAT 2023. He has teaching experience in subjects like CNC and advanced machining. His professional background also includes roles in industry and design engineering. 📚🔧🌍

Education

Assist. Prof. Dr. Mohammad Baraheni completed his Post-Doctoral Degree at the University of Tabriz (2019-2022), specializing in Mechanical Engineering, with a focus on Ultrasonic Machining of Additive Manufactured Materials. He also pursued a Sabbatical Fellowship at Hochschule Furtwangen University in Germany (2017-2018), where he developed an expert system using Artificial Intelligence. Dr. Baraheni holds a PhD in Mechanical Engineering from University of Kashan (2014-2020), focusing on Rotary Ultrasonic Machining of Si3N4. His earlier academic journey includes an M.Sc. and B.Sc. from the University of Tabriz. 🏫🔧🧑‍🎓

 

Professional Experience

Assist. Prof. Dr. Mohammad Baraheni has accumulated diverse experience in both academia and industry. Since 2020, he has been serving as an Assistant Professor at Arak University of Technology. Previously, he worked as an Engineer at Tractorsazi Company (2018-2020) and a Research Assistant at Furtwangen Hochschule in Germany (2017-2018). He also gained valuable experience as a Design Engineer at Jahan Saderat Machine (2016-2017) and a Sales Engineer at Pumpiran (2012-2014). Additionally, Dr. Baraheni has worked independently, designing industrial molds and machines such as Briquetting machines and Ultrasonic washing machines. ⚙️🔧

 

Teaching Experience

Assist. Prof. Dr. Mohammad Baraheni has a rich teaching portfolio across various institutions. He has taught courses in Industrial Drawing at University of Kashan, Grinding Technology, Universal Machining, and Advanced Machining Processes at Islamic Azad University. At Arak University of Technology, he has delivered lectures on Computer Numerical Control, Casting, Metallurgy, Metrology, and Welding. Additionally, Dr. Baraheni has taught Plastic Molding Design at University of Tabriz and English for Mechanical Engineering at Shahid Mousavian University. His broad expertise spans key areas in mechanical engineering. 🛠️📚

 

Research Focus

Assist. Prof. Dr. Mohammad Baraheni’s research primarily revolves around advanced machining techniques and their application in composite materials. His work extensively explores rotary ultrasonic machining, ultrasonic-assisted drilling, and grinding technologies for materials like Si3N4 ceramics, carbon fiber reinforced polymers (CFRP), and glass fiber reinforced plastics (GFRP). He has contributed to optimization of process parameters, delamination control, surface integrity, and cutting force prediction. His research also delves into additive manufacturing, material behavior, and industrial mold design, focusing on enhancing precision and efficiency in machining processes. His work bridges mechanical engineering with innovative manufacturing. 🌍

 

Publication Top Notes

  • Residual stress in engineering materials: a review – 104 citations, 2022 📖🔧
  • Predicting subsurface damage in silicon nitride ceramics subjected to rotary ultrasonic assisted face grinding – 70 citations, 2019 🔬🛠️
  • Parametric analysis of delamination in GFRP composite profiles by performing rotary ultrasonic drilling approach – 50 citations, 2019 🔩💡
  • Comprehensive optimization of process parameters in rotary ultrasonic drilling of CFRP – 43 citations, 2019 ⚙️🔩
  • Parametric investigation of rotary ultrasonic drilling of carbon fiber reinforced plastics – 39 citations, 2018 ⚙️🔧
  • Enhancing dimensional accuracy and surface integrity by helical milling of CFRP – 36 citations, 2019 📐✂️
  • Feasibility study of delamination in rotary ultrasonic-assisted drilling of GFRP – 35 citations, 2018 🔬🛠️
  • Mathematical model to predict cutting force in rotary ultrasonic assisted end grinding of Si3N4 – 32 citations, 2020 📏💻
  • Environmental, mechanical and materialistic effects on delamination damage of glass fiber composites – 31 citations, 2019 🧪🛠️
  • Ultrasonic-assisted friction drilling process of aerospace aluminum alloy (AA7075) – 19 citations, 2021 ✈️🔩
  • Evaluating the hole quality produced by vibratory drilling: additive manufactured PLA+ – 18 citations, 2021 🖨️🔩
  • Statistical study of the effect of various machining parameters on delamination in drilling of CFRP – 17 citations, 2018 🔍💡
  • Investigation on rotary ultrasonic assisted end grinding of silicon nitride ceramics – 13 citations, 2019 ⚙️🔬
  • Experimental comparison of MO40 steel surface grinding performance under different cooling techniques – 13 citations, 2019 🛠️🧊
  • Experimental and empirical model analysis of microsurface texturing on 316 L press-fit joints fabricated by selective laser melting – 12 citations, 2020 🔬🖨️