Dr. Cyrus Amini | friction stir welding award | Excellence in Research

Dr. Cyrus Amini | friction stir welding award | Excellence in Research

Dr. Cyrus Amini, university of Tabriz, Iran

Cyrus Amini embarked on his academic journey in Mechanical Engineering at SRU, Tehran, where he completed his Bachelor’s degree with a remarkable GPA of 15.11/20. His insatiable curiosity and dedication led him to pursue further studies, culminating in a Master’s degree from Isfahan University of Technology (IUT) with an outstanding GPA of 17.15/20. It was during this time that he delved into the intricacies of earthquake-resistant design, showcasing his ability to tackle real-world challenges with creative solutions.

Undeterred by the complexities of advanced research, Amini pursued a Ph.D. in Mechanical Engineering at the University of Tabriz. His doctoral research, which focused on the optimization of process parameters in Friction Stir Welding (FSW) of aluminum alloys, earned him widespread recognition and a stellar GPA of 18.25/20. Amini’s expertise in FSW was further honed during his stint as a Visiting Student at the Polytechnic University of Catalonia (UPC) in Spain, where he made significant contributions to the development of FEM models and experimental techniques.

 

Professional Profiles:

 

๐ŸŽ“ Education

  • Ph.D. in Mechanical Engineering, University of Tabriz, Iran (2015โ€“2021)
  • M.Sc. in Mechanical Engineering, Isfahan University of Technology, Iran (2007โ€“2010)
  • B.Sc. in Mechanical Engineering, SRU Tehran, Iran (2001โ€“2005)

๐Ÿ”ฌ Research Focus

  • Experimental research on welding techniques, particularly Friction Stir Welding (FSW)
  • Simulation methods, specializing in Finite Element Method (FEM)
  • Optimization techniques, including design and topological optimization
  • Non-Destructive Testing (NDT) methods
  • Composite materials, with a focus on sandwich panels with Honeycomb core
  • 3D printing technology

๐Ÿ… Publications and Contributions

  • Amini has authored and co-authored several ISI articles in reputable journals, covering topics such as ball burnishing, friction stir welding, and optimization models.
  • Notable publications include studies on the finite element analysis of ball burnishing, development of numerical simulation for friction stir welding, and multi-objective optimization models for shock damper design.

๐Ÿ”ง Professional Experience

  • Amini has extensive experience in both academic and industrial settings. He has collaborated on various Ph.D. theses, contributed to research projects, and developed novel Finite Element Models for simulating complex mechanical processes.
  • His proficiency extends to the use of laboratory equipment for mechanical property testing, surface quality assessment, and topography identification. He is skilled in setting up welding and burnishing processes.

Publication Top Notes:

Finite element analysis of ball burnishing on ball-end milled surfaces considering their original topology and residual stress

Friction stir welding of AA2024-T3: development of numerical simulation considering thermal history and heat generation

Experimental validation of ball burnishing numerical simulation on ball-end milled martensitic stainless-steel considering friction and the initial surface topography

Ball burnishing of friction stir welded aluminum alloy 2024-T3: experimental and numerical studies
Efficient homogenization of honeycomb sandwich panels using orthotropic core simplification and Finite Element Method-based method: A comparative study

 

Mr.Kai Wang | Automatic fiber placement award | Best Researcher Award

Mr.Kai Wang | Automatic fiber placement award | Best Researcher Award

Mr. Kai Wang, Nanjing University of Aeronautics and Astronautics, China

Kai Wang is a Chinese researcher and academician with a keen interest in mechatronics, mathematics, and computer science. He was born on July 13th, 1993, in Liuan, China, and currently resides in Nanjing City.

Kai Wang’s academic journey began with his Bachelor’s degree in Mathematics from Northwest Normal University in Lanzhou, China, which he completed in 2012. He then pursued a Master’s degree in Mathematics from the same university, graduating in 2016. During his master’s studies, he likely developed a strong foundation in mathematical concepts and analytical thinking.

Building upon his mathematical background, Kai Wang furthered his education by pursuing a Ph.D. in Mechatronics at Nanjing University of Aeronautics and Astronautics, which he successfully completed in 2021. His doctoral research likely focused on the intersection of mechanical engineering, electronics, and computer science, exploring areas such as automatic fiber placement, computer-aided geometry design, and computer graphics

Professional Profiles:

 

๐Ÿ“š Educational Journey:

  • PhD in Mechatronics (2021): Nanjing University of Aeronautics and Astronautics, Nanjing, China. Dr. Wang’s doctoral research delved deep into the realm of automatic fiber placement, a critical aspect of modern manufacturing processes.
  • Masters in Mathematics (2016): Northwest Normal University, Lanzhou, China. Dr. Wang’s master’s studies honed his analytical prowess, providing a solid foundation for his subsequent ventures.
  • Bachelor in Mathematics (2012): Northwest Normal University, Lanzhou, China. Dr. Wang’s undergraduate tenure laid the groundwork for his illustrious academic career, fostering a deep appreciation for mathematical principles.

๐Ÿ”ฌ Scientific Interests:

Dr. Wang’s multifaceted scientific interests encompass a diverse array of domains, including:

  • Automatic Fiber Placement: At the forefront of advanced manufacturing techniques, Dr. Wang explores innovative methodologies to enhance the efficiency and precision of fiber placement processes.
  • Computer-Aided Geometry Design: Leveraging cutting-edge computational tools, Dr. Wang pioneers novel approaches to geometric modeling, facilitating the realization of complex designs with unparalleled accuracy.
  • Computer Graphics: Dr. Wang’s expertise in computer graphics transcends traditional boundaries, encompassing the development of immersive visual experiences and sophisticated rendering algorithms.
  • Mathematics: With a profound appreciation for the elegance and power of mathematical abstraction, Dr. Wang continuously seeks to unravel the mysteries of mathematical phenomena, applying rigorous methodologies to tackle real-world challenges.

๐ŸŒ† Current Endeavors:

Residing in the vibrant city of Nanjing, Dr. Wang actively collaborates with leading institutions and industrial partners to push the boundaries of mechatronic innovation. Whether delving into the intricacies of automated manufacturing processes or harnessing the transformative potential of computational geometry, Dr. Wang remains steadfast in his commitment to advancing the frontiers of science and engineering.

With an indomitable spirit and a relentless pursuit of excellence, Dr. Kai Wang stands as a beacon of inspiration for aspiring researchers and innovators worldwide, propelling humanity towards a future defined by ingenuity and technological prowess.

Publication Top Notes:

Construction of G2 continuous curve on point-cloud surface

Design of Variable Stiffness Trajectories with Cubic Ferguson Curve

A general method of trajectory generation based on point-cloud structures in automatic fibre placement

Constructing continuous curves on point-cloud surfaces with Directed Projection Operator

Non uniform weighted cubic B-spline based on all positive basis

A new quasi cubic rational system with two parameters