Department of
Mechanical, Materials and Manufacturing Engineering

Image of Abdelkhalick Mohammad

Abdelkhalick Mohammad

Associate Professor in Mechatronics, Faculty of Engineering


  • workRoom B37 Advanced Manufacturing Buillding
    Jubilee Campus
    Wollaton Road
    NG8 1BB
  • work+44 (0) 1159586856
  • fax+44 (0) 115 9513800

Teaching Summary

Teaching the following undergraduate courses:

  • Introduction to Robotics
  • Robotics
  • Industrial Process Control
  • Measurements and Measurements Devices
  • CNC Machines
  • Mechatronics System Design
  • Mechatronics laboratories

In addition to the following postgraduate courses:

  • Advanced Automatic Control
  • Advanced Measurement
  • Advanced Topics in Mechatronics Engineering

Research Summary

Continuum robot for is-situ inspection

Recent Publications

Past Research

During my postdoctoral in Nanyang Tecgnological University, Singapore, I have joined an industrial robotic project in a collaboration between A*STAR, NUS, NTU, I2R and SIM-Tech. The project consists of several work packages in an integrated way. The objective of my work package is to design and implement a robotic system to perform material removal processes for uneven surfaces with irregular material removal rates.

The ultimate goal of my research during my PhD degree was developing a control algorithm for feed drive system especially those integrated in computer numerical control (CNC) machines. The control algorithm includes accurate estimation of the tool contour error in real time and applying a nonlinear sliding mode control. The advantage of this algorithm is that it reduces the consumed energy in CNC machines which are usually operated day and night all over the world. The proposed algorithms were verified through simulation and experimental works using single, two, three and five-axis CNC machines.

In my master study at TUT, I started my research on computer numerically controlled (CNC) machines. My research work was on developing a contouring control for multi-axis feed drive system. We studied the model predictive control algorithm and applied it to my research topic. The proposed algorithms were verified through simulation and experimental works using biaxial feed drive system. In addition, I have developed a new definition of tool orientation in five-axis machining tasks.

Department of Mechanical, Manufacturing and Materials Engineering

The University of Nottingham
University Park
Nottingham, NG7 2RD

telephone: +44 (0) 115 95 14081