Abdullah K. Shanshal

Received a Bachelor, of Tech. degree in electrical power technology engineering from the Northern Technical University, Engineering Technical College, Mosul, Iraq, in 2005; the M.Tech. degree in electrical power technology engineering from the Northern Technical University, Engineering Technical College, Mosul, Iraq, in 2010. The Ph.D. Degree in electrical engineering from the University of Sheffield, Sheffield, U.K., in 2019. Currently, he is working as a lecturer and researcher at the Northern Technical University, Engineering Technical College. Mosul, Iraq.

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Industrial and Manufacturing Engineering

Scopus Publications

Characteristic optimization of three-phase induction motors based on FEM
Ahmed J. Ali, Abdullah K. Shanshal, Hiba Esam Aziz, Essam Hussain, and
Al Qadisiyah Journal for Engineering Sciences, 2024
Induction motors (IMs) with varying torque-speed characteristics are widely employed in various industrial applications. However, designing an efficient induction motor requires some of the main parameters of the motor (torque, speed, and efficacy) to be investigated and optimized. Furthermore, due to the significant influence of the rotor slot configurations on the electromagnetic torque-speed envelope, a design optimization procedure is required to optimize the induction motor's dynamic characteristics. In this paper, the impact of rotor slots’ geometrical modifications on the behavior of 3-phase, four poles, 36 slots, and double-layer squirrel cage IM are presented and considered as examples of optimization. Moreover, the effect of the air gap dimension and bore diameter of the stator and rotor parts are investigated. The predicted results demonstrate that the constructed geometry of the rotor slots has an observable effect on the performance of an (IM).
Performance improvement of squirrel cage induction motor: A review paper
Hiba Esam, Ahmed J. Ali, Abdullah K. Shanshal
Aip Conference Proceedings, 2024
Effect of rotor bars position on the performance of cage rotor induction motor using finite element method
Hiba Esam, Ahmed J. Ali, Abdullah K. Shanshal
Aip Conference Proceedings, 2023
Optimization of Induction Motor Rotor Bar Geometry Based on Genetic Algorithm
Hiba Esam Aziz, Abdullah K. Shanshal, Ahmed J. Ali
International Conference on Engineering Science and Advanced Technology Icesat 2023, 2023
This paper presents a systematic optimal design algorithm for the shape of the rotor slot to get optimal operating torque and efficiency in a three-phase squirrel cage induction motor (SCIM). The determination of the ideal dimensions of the rotor bar is carried out with a multi-objective genetic algorithm (MOGA). The primary purpose is to enhance induction motors' performance and verify the predicted results with analytical calculations. Maxwell Ansys 2D has implemented the parametrical method for modeling the SCIM, and the result shows an increasing ratio of the starting torque by (22.35%), as well as the efficiency by (6.67%) and a reducing ripple torque by (34.68%).
Study the dynamic performance of PM machines for different rotor topologies
Abdullah K. Shanshal, Ahmed J. Ali, Alya H. AL-Rifaie
International Journal of Power Electronics and Drive Systems, 2022
<p>For hybrid and electric vehicle drive-train (automotive applications) achieving high torque and efficiency at a wide range of operating conditions can be considered an important matter. Therefore, precise structure optimization of the permanent magnet synchronous machines (PMSMs) is recommended. Consequently, the effect of the main leading design parameters (such as PM arrangement, magnet thickness, pole arc to pole pitch ratio, airgap length as well as the effect of shaft material) for a different number of rotor poles configuration of PMSM can achieve optimum design results in electric motors with economical cost and excellent performance. This paper submits a comparative analysis of different rotor topologies of (PMSM). Moreover, the dynamic performances of the suggested rotor geometry topologies are investigated based on investigation of finite element analysis (FEA). The analysis offers a piece of complete information about the magnetic flux distribution and magnetic flux density over the motor geometry. Gained results from the analysis are used to give a decision for the selection of a suitable PMSM design.</p>
A comparative study for the performance operation of electric machine based on conventional and d-q theories
Sanabel M. AL hajzber, Ahmed J. Ali, Alya H. AL-Rifaie, Abdullah K. Shanshal
International Journal of Power Electronics and Drive Systems, 2021
<span>Induction motors are used widely in industrial applications, thanks to their high efficiency and reliability which nominates it as a good machine used in various application. Based on the application and accuracy, modeling processes of electric machines are carried out using different mathematical methods. The most common method for modeling electrical machines is based on solution of differential equations of voltages as well as calculating the time varying self-inductances and the mutual inductances based on the rotor angle. One of the most important features of this method is that the inductance is no long depend on the time varying voltage, which is the major problem facing the conventional model. But the D-Q modeling approach has several problems, the greatest of which is that the voltage applied on stator must be balanced in addition to the fact that the winding are sinusoidal distributed form. Herein this research is focused on build two models of a 3-Φ induction motor (IM) based on the two analytical approaches and compare them to clarify the difference. The results have been shown that the conventional model gives more accurate response when it is applied in both normal and upnormal operation. MATLAB/Simulink softare is used to construct the D-Q and classical abc IM models.</span>
High-Performance Ferrite Permanent Magnet Brushless Machines
Abdullah Shanshal, Khoa Hoang, Kais Atallah
IEEE Transactions on Magnetics, 2019
The performance of a brushless permanent magnet machine topology equipped with axially and circumferentially magnetized ferrite permanent magnets is presented. Simulation studies show that for smaller ratios of axial length to active length, air-gap flux densities in excess of 1 T can be achieved, resulting in significant improvements in torque production and efficiency. A prototype machine is manufactured, and test results confirm the predictions of the EMF and the static torque.