Project Overview:
The objective of this PhD project is to investigate the application of magnetic-field-assisted 3D printing technology for the fabrication of next-generation multipole magnets with improved performance and efficiency in electric motor applications. The project involves the design, simulation, fabrication, and testing of multipole magnets using magnetic-field-assisted 3D printing, with a focus on optimizing their magnetic properties and performance in electric motors.
Specific Research Objectives:
- Literature Review:
- Conduct a comprehensive review of existing research on magnetic-field-assisted 3D printing, multipole magnets, and electric motor design.
- Identify the current state-of-the-art, challenges, and knowledge gaps in these areas.
- Design and Simulation:
- Develop novel designs for multipole magnets tailored for electric motor applications.
- Use finite element modeling (FEM) and computational magnetostatics to simulate the magnetic behavior of the designed magnets.
- Optimize the magnet design using multi-objective optimization techniques.
- Magnetic-Field-Assisted 3D Printing:
- Implement a magnetic-field-assisted 3D printing process for the fabrication of multipole magnets.
- Investigate the effects of printing parameters (e.g., magnetic field strength, printing speed, and material properties) on the magnetic properties and performance of the printed magnets.
- Experimental Characterization:
- Fabricate and characterize the magnetic properties (e.g., magnetic field strength, magnetic moment, and coercivity) of the printed multipole magnets.
- Investigate the performance of the printed magnets in electric motor applications using experimental testing and measurements (e.g., torque, efficiency, and speed).
- Integration and Testing:
- Integrate the printed multipole magnets into an electric motor prototype.
- Test and evaluate the performance of the motor under various operating conditions (e.g., different loads, speeds, and temperatures).
Methodologies:
- Design and Simulation:
- Finite element modeling (FEM) and computational magnetostatics using software packages such as COMSOL, ANSYS, or OpenFOAM.
- Multi-objective optimization techniques using algorithms such as genetic algorithms, particle swarm optimization, or response surface methodology.
- Magnetic-Field-Assisted 3D Printing:
- Utilization of our custom-built 3D printing system incorporated with a magnetic field generator.
- Printing of multipole magnets using various materials (e.g., SmFeN, NdFeB, or composite materials).
- Experimental Characterization:
- Magnetic property measurement using techniques such as vibrating sample magnetometry (VSM), and magnetometers.
- Magnetic particle alignment investigation with SEM
- Electric motor performance testing using dynamometers, oscilloscopes, and data acquisition systems.
Expected Outcomes:
- Novel Designs and Fabrication Techniques:
- Development of innovative designs and fabrication techniques for multipole magnets using magnetic-field-assisted 3D printing.
- Improved Magnetic Properties:
- Enhancement of magnetic properties (e.g., magnetic field strength, magnetic moment, and coercivity) of printed multipole magnets.
- High-Performance Electric Motor:
- Development of a high-performance electric motor prototype incorporating printed multipole magnets with optimized magnetic properties.
- Contribution to the Field:
- Contribution to the advancement of magnetic-field-assisted 3D printing, multipole magnet design, and electric motor technology.
Timeline and Milestones:
- Literature Review and Design: First Year
- Simulation and Optimization: First-Year
- Magnetic-Field-Assisted 3D Printing: Second-Year
- Experimental Characterization and Testing: Second-Year
- Integration and Testing of Electric Motor Prototype: Third-Year
- Writing and Defense of the PhD Thesis: Fourth-Year
Supervision and Support:
The PhD student will be supervised by Dr. Muhammad Shahid Arshad expert in the fields of magnetic-field-assisted 3D printing, multipole magnet design, and electric motor technology. The student will have access to state-of-the-art facilities, including 3D printing equipment, magnetic property measurement instruments, and electric motor testing equipment.
Required Skills and Background:
- Master’s degree in a relevant field (e.g., materials science, electrical engineering, mechanical engineering, or physics).
- Strong background in electromagnetism, materials science, and 3D printing.
- Experience with finite element modeling, computational magnetostatics, and multi-objective optimization techniques.
- Familiarity with electric motor design and testing.
- Excellent programming skills in languages such as MATLAB, Python, or C++.
- Good English communication and teamwork skills.