Dr. Bashar El-Khasawneh is the Founder and Chair of the American Society of Mechanical Engineers (ASME) Professional UAE Section. A founder of the Dexter Robotics startup company. He is currently an associate professor of mechanical engineering at Khalifa University. He served as the chair of the graduate program at the Mechanical Engineering Department from 2016-2019. He served as the Associate Chair for the department from 2013-2016. Before that he acted as an academic advisor for the British University in Dubai to develop an accredited industrial engineering program. Between 2008 and 2010 he was the Manager of the Applied Research Programs at King Abdullah II Design and Development Bureau (KADDB), Jordan. Between 2002 to 2008 he held an assistant professor position in the Industrial Engineering Department, at Jordan University of Science and Technology (JUST), within that time he served as a chairman for the department for two years. Between 1998-2002 he worked for Caterpillar Incorporated in the technical center and for KLA-Tencor with the technology group both in USA. He worked extensively on technical and managerial assistance for many industries. He founded a design and development pre-incubator at the JUST University to train and qualify students to become entrepreneurs. He obtained his PhD in Mechanical Engineering from University of Illinois at Urbana-Champaign, USA (1997). He is a member of the Advisory Board of the Innovation Lab at the Dubai Health Authority (DHA) and a member of the editorial board of IJAER. His current research is focused on developing new concepts of advanced machining centers based on parallel kinematics mechanism and machining in harsh environments by adapting to the environment/geometry and be able to perform machining/welding tasks and developing robotic platforms for 3D printing of structures.
Title: Walking Robot for service and manufacaturing applications.
This system presents a novel walking hybrid-kinematics robot having three degrees of freedom for on-structure machining of large structures. A symmetric 3PRRR parallel mechanism having maximally regular property is used to provide 3D translational manipulation. Three attachment pads are connected to the base of the parallel mechanism through passive spherical joints, whereas multiple attachment pads are connected to the moving platform of the parallel mechanism. Performing a machining task is done by using a retractable tool holder attached to the parallel mechanism's moving platform. Two walking patterns, namely rotational and translational walking patterns, are defined for the robot. The kinematics of the manipulation and walking motions was derived and simulated. Several schemes to perform multi-step walking motions were also discussed. Subsequently, using an energy-based approach with the Stribeck friction model, the robot's dynamics was modeled and experimentally verified. Finally, an implementation of the robot to perform an on-structure machining task is discussed.
Title: Robotics for manufacturing of field large-size structures
The goal of the project is to develop robotic platforms to automate tasks in a number of industrial applications where large-size structures are involved. Application fields include aircraft manufacturing, ship building, and prefabricated construction. In the chosen scenario light and reconfigurable, mobile robots will navigate and perform drilling tasks onto an elongated, non-horizontal structure with a curved surface. We have a patent pending application.
Title: Advanced Control Implementations and Machining on Five-Axes Hybrid Serial-Parallel Kinematics Machine Tool
The goal of the project is to implement different control algorithms using an open architecture controller to control an already design, fabricated and tested a five axes hybrid serial-parallel kinematics machine tool. This is a fully functional five-axes machine tool. The different control schemes will be compared in terms of performance and impact on accuracy and vibration of the machine. Additionally, there will be some machining tests and the impact of the chosen control scheme will be assessed in terms of impact on the machining quality and accuracy.