PANKAJ KUMA | Mechanical/Manufacturing | Best Researcher Award

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Mr. PANKAJ KUMA | Mechanical/Manufacturing | Best Researcher Award

WORKSHOP SUPDT at GOVT. POLYTECHNIC KULLU India

Pankaj Kumar is a Workshop Superintendent (Mechanical) at the Technical Education Department, Government of Himachal Pradesh, with over 9 years of teaching experience in technical subjects. He holds a B.Tech in Mechanical Engineering from Jaypee University of Engineering & Technology and is currently pursuing an M.E. in Manufacturing Technology from NITTTR, Chandigarh. His expertise includes microwave drilling of fiber-reinforced plastics, and he has contributed research to prestigious journals like Materials and Manufacturing Processes. Additionally, Pankaj is a content creator with a blog and YouTube channel focused on mechanical engineering subjects. He also authored a book on Engineering Graphics for True Education Publication.

Publication profile

Orcid

šŸŽ“ Educational Qualifications:

Pankaj Kumar is currently pursuing a Master of Engineering (M.E.) in Manufacturing Technology at the National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh, with a CGPA of 8.22/10. He holds a Bachelor of Technology (B.Tech) degree in Mechanical Engineering from Jaypee University of Engineering & Technology, where he graduated in 2013 with an impressive CGPA of 8.4/10 (86%). Prior to his undergraduate studies, he completed his intermediate education under the Himachal Pradesh Board in 2009, achieving a remarkable 84.4%. He also completed his matriculation from the same board in 2007, securing 78.9%.

šŸ› ļø Career Vision:

To secure a challenging position that fosters professional growth in a competitive, innovative, and flexible environment.

šŸ”§ B.Tech Project:

Title: Fabrication and optimization of a conventional Go-Kart Tools: Pro-E, AutoCAD. Summary: Explored the design, transmission, and optimization of a Go-Kart, including analysis of its steering, braking, and exhaust systems.

šŸ“œ M.E. Thesis:

Title: Experimental Investigations on Microwave Drilling of Flax Fiber Reinforced Polypropylene, Guide: Dr. P. Sudhakar Rao, NITTTR Chandigarh, Summary: Focuses on microwave drilling techniques for natural fiber-reinforced plastics to mitigate delamination and fiber pull-out issues.

šŸ­ Professional & Industrial Training:

Power mill and CAM S/W training (CIPET, Baddi). Indo farm equipment and Ambuja Cement factory (Solan, H.P.). Aircraft designing workshop at IIT Kanpur

šŸ‘Øā€šŸ« Work Experience:

Workshop Superintendent (Mechanical) at GoHP since Sept. 2015. One year of industrial experience as Apprentice Engineer (HPPCL). 9 years of teaching technical subjects

šŸ† Achievements:

Research published in Materials and Manufacturing Processes, Authored an Engineering Graphics book, Creator of blog and YouTube channel focused on mechanical engineering education

Publication

Title: Damage-free hole making using microwave drilling in flax/PP composite
  • Journal: Materials and Manufacturing Processes
  • Publication Date: 2024-09-24
  • DOI: 10.1080/10426914.2024.2395015
  • ISSN: 1042-6914 (Print), 1532-2475 (Online)
  • Contributors: Pankaj Kumar, P. Sudhakar Rao, Rampal, Sunny Zafar

 

Chi Ma | Mechanical Design | Best Scholar Award

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Assoc Prof Dr. Chi Ma ā€Œ | Mechanical Design|Best Scholar AwardĀ 

Assoc Prof Dr at Chi Ma Chongqing University China

Dr. Ma Chi, an Associate Professor at Chongqing University, specializes in numerical control equipment. Over the past five years, he has authored or coauthored 40 SCI papers with an average impact factor of 6.7355, earning over 1700 citations. His research, published in top journals like Int. J. Mach. Tools Manuf. and ASME’s J. Manuf. Sci. E-T, has garnered significant academic and industrial acclaim. He holds more than 20 national invention patents, contributing to substantial economic and social benefits. Dr. Ma has led six major research projects and serves on several prestigious editorial and professional committees.

Profile

 

 

šŸ“šEducationĀ 

Ph.D. in Mechanical Engineering, Xi’an Jiaotong University (2012-2017) Advisor: Prof. Xuesong Mei. B.Eng. in Mechanical Design, Manufacture, and Automation, Xi’an Technological University (2008-2012)

āœØ Work Experience

Postdoctoral Fellow / Associate Professor, Chongqing University (2018-Present) Lecturer, Chongqing University (2018-2020) Joint Ph.D. Student, University of California, Berkeley (2016-2017) Advisor: Prof. David B. Bogy

šŸ§‘ā€šŸ”¬Research Interests

High-efficiency and precision processing, Thermal error prediction and compensation in machining equipment, Simulation modeling of machining errors, Topology optimization in cooling systems for machining tools

šŸ… Professional Achievements

Publications: Authored/coauthored 50 SCI papers, average impact factor: 6.7355 Key journals: Int. J. Mach. Tools Manuf., ASME’s J. Manuf. Sci. E-T, J. Manuf. Process., Mech. Syst. Signal Pr. Citations: Over 1700 on SCI. Patents: Holds over 20 national invention patents. Projects: Presided over six major scientific research projects including National Key Research and Development Plan projects Participated in multiple high-profile projects like National Defence Project, National Natural Science Foundation key projects. Awards: First Prize of Chongqing Municipal Scientific and Technological Progress First Prize of Technological Invention of Machinery Industry Silver Prize of the 24th China Patent Award

šŸ“Š Project Undertaking

I have presided over a total of six scientific research projects including the National Key Research and Development Plan projects, the National Natural Science Foundation of China (NSFC) top/youth projects, the Chongqing Natural Science Foundation top projects, the China Postdoctoral Science Foundation, and the Chongqing Municipal Overseas Returned Scholars Support Plan projects, and participated in two major special projects, the National Defence Project, the National Natural Science Foundation key projects, the 04 Scientific and Technological Major Special Projects, and the National Key Research and Development Plan projects, among others, for six projects.

 

Publications Top Notes šŸ“

 

  1. šŸ“„ Li M, Ma C*, Zeng S, et al. Cooling water jacket design of motorized spindle system using multi-objective topology optimization[J]. Applied Thermal Engineering, 2023, 224: 120112.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.120112
  2. šŸ“„ Li M, Zeng S, Hu J, Ma C*. Free-mounted cooling plate multi-objective topology optimization method towards precision machine tool heat dissipation An experimental and numerical study[J]. International Journal of Heat and Mass Transfer, 2023, 241: 124394.
    šŸ”— https://doi.org/10.1016/j.ijheatmasstransfer.2023.124394
  3. šŸ“„ Li M, Ma C*, Liu J, et al. Topology optimization design of cooling water jacket structure for high-speed spindle-bearing system[J]. Journal of Manufacturing Processes, 2023, 102: 1-22.
    šŸ”— https://doi.org/10.1016/j.jmapro.2023.07.034
  4. šŸ“„ Li M, Ma C*, Liu J, et al. Thermal error prediction of precision boring machine tools based on extreme gradient boosting algorithm-improved sailed fish optimizer-bi-directional ordered neurons-long short-term memory neural network model and physical-edge-cloud system[J]. Engineering Applications of Artificial Intelligence, 2024, 127: 107278.
    šŸ”— https://doi.org/10.1016/j.engappai.2023.107278
  5. šŸ“„ Luo F, Ma C*, Liu J, et al. Effect of gas-liquid phase change of axial rotating heat pipe on fluid-thermal-solid behaviors of high-speed spindle[J]. Applied Thermal Engineering, 2023, 232: 121117.
    šŸ”— https://doi.org/10.1016/j.applthermaleng.2023.121117
  6. šŸ“„ Luo F, Ma C*, Liu J, et al. Theoretical and experimental study on rotating heat pipe towards thermal error control of motorized spindle[J]. International Journal of Thermal Sciences, 2023, 185: 108095.
    šŸ”— https://doi.org/10.1016/j.ijthermalsci.2022.108095
  7. šŸ“„ Zeng S, Ma C*, Liu J, et al. Sequence-to-sequence based LSTM network modeling and its application in thermal error control framework[J]. Applied Soft Computing, 2023, 138: 110221.
    šŸ”— https://doi.org/10.1016/j.asoc.2023.110221
  8. šŸ“„ Gui H, Liu J, Ma C*, et al. Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model[J]. Journal of Intelligent Manufacturing, 2023.
    šŸ”— https://doi.org/10.1007/s10845-023-02095-3
  9. šŸ“„ Zhang L, Liu J, Ma C*, et al. Intelligent integrated framework towards high-accuracy machining[J]. Engineering Science and Technology, an International Journal, 2023, 40: 101359.
    šŸ”— https://doi.org/10.1016/j.jestch.2023.101359
  10. šŸ“„ Luo F, Ma C*, Liu J, et al. Thermal error prediction and control method combining residua-based one-dimensional convolution-minimum gate unit model with physical-data-edge-cloud terminal architecture[J]. Neural Computing and Applications, 2023, 41: 103234.