What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Mechanical engineering
- Electrical engineering
The scientist’s investigation covers issues in Finite element method, Magnet, Torque, Control theory and Rotor.
His research integrates issues of Mathematical optimization, Magnetostatics, Magnetic field, Mechanics and Electronic engineering in his study of Finite element method.
His work deals with themes such as Power, Electric motor and Magnetization, which intersect with Magnet.
His Torque study combines topics in areas such as Synchronous motor and Electromagnetic coil.
Kay Hameyer combines subjects such as Torque ripple, Direct torque control, Power electronics and Energy minimization with his study of Control theory.
His research in Rotor focuses on subjects like Wind power, which are connected to Turbine, Test bench and AC power.
His most cited work include:
- MATLAB Meets LEGO Mindstorms—A Freshman Introduction Course Into Practical Engineering (100 citations)
- Numerical modelling and design of electrical machines and devices (93 citations)
- Advanced Iron-Loss Estimation for Nonlinear Material Behavior (92 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Finite element method, Control theory, Magnet, Mechanical engineering and Mechanics.
In his work, Electronic engineering is strongly intertwined with Computation, which is a subfield of Finite element method.
His Control theory study integrates concerns from other disciplines, such as Control engineering, Induction motor, Transient and Stator.
Kay Hameyer interconnects Magnetic flux, Magnetization, Synchronous motor and Electromagnetic coil in the investigation of issues within Magnet.
In his research, Electrical steel is intimately related to Hysteresis, which falls under the overarching field of Magnetization.
His Synchronous motor study frequently draws connections between related disciplines such as Permanent magnet synchronous generator.
He most often published in these fields:
- Finite element method (32.80%)
- Control theory (16.02%)
- Magnet (15.03%)
What were the highlights of his more recent work (between 2014-2021)?
- Electrical steel (8.57%)
- Magnet (15.03%)
- Control theory (16.02%)
In recent papers he was focusing on the following fields of study:
Kay Hameyer mainly investigates Electrical steel, Magnet, Control theory, Magnetization and Mechanical engineering.
His Magnet research includes themes of Material properties and Rotor.
His biological study spans a wide range of topics, including Power, Induction motor, Voltage and Transient.
His Magnetization research also works with subjects such as
- Condensed matter physics and related Magnetic anisotropy,
- Mechanics and related Magnetic field and Electronic engineering.
His work carried out in the field of Eddy current brings together such families of science as Mathematical analysis and Finite element method.
His research combines Nonlinear system and Finite element method.
Between 2014 and 2021, his most popular works were:
- Fault Diagnosis of Bearing Damage by Means of the Linear Discriminant Analysis of Stator Current Features From the Frequency Selection (57 citations)
- High-Performance Adaptive Torque Control for an IPMSM With Real-Time MTPA Operation (49 citations)
- Influence of shear cutting parameters on the electromagnetic properties of non-oriented electrical steel sheets (48 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Mechanical engineering
- Electrical engineering
Kay Hameyer mainly focuses on Electrical steel, Magnet, Composite material, Magnetization and Control theory.
The various areas that Kay Hameyer examines in his Electrical steel study include Residual stress, Magnetic flux, Magnetic anisotropy and Magnetic core.
His Magnet research entails a greater understanding of Mechanical engineering.
His research in Magnetization tackles topics such as Eddy current which are related to areas like Mathematical analysis, Finite element method and Nuclear magnetic resonance.
His Control theory research incorporates themes from Electronic engineering, Transient and Model predictive control.
His study in Electronic engineering is interdisciplinary in nature, drawing from both Mechanics and Magnetic field.
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