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ALHOSN University Catalogue Global Knowledge with Local Vision ...

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Prerequisite: MEC 311<br />

The present course is intended to teach up-to-date/non-traditional manufacturing processes (electrical discharge<br />

machining, water-jet, chemical machining) precision and high speed manufacturing (ultrasonic, plasma, laser,<br />

rapid prototyping) and economics of manufacturing processes. The course deals <strong>with</strong> the fabrication processing of<br />

non-metallic engineering materials such as ceramics, polymers, and composites. The course emphasizes process<br />

capabilities and limitations, and guidelines for process selection. In addition it introduces the state of art<br />

technology in micro and nano fabrication.<br />

MEC 473 Manufacturing System Automation (3 = 2 + 1)<br />

Prerequisite: MEC 311<br />

The course is intended to teach the students the art and science of automation in manufacturing processes and<br />

operations. The ability to reliably and economically produce parts <strong>with</strong> high accuracy and production rates is<br />

aided greatly by the use of automation. The topics covered in the course include hardware components for<br />

automation, numerical control, discrete control, automation of material transport system and storage system and<br />

flexible manufacturing system.<br />

MEC 474 Failure of Mechanical Components (3 = 2 + 1)<br />

Prerequisite: MEC 221<br />

This course is an introduction to the techniques of designing for life and material considerations involved in the<br />

process. The course investigates how to analyze those components which do fail, and evaluate safe-life and<br />

remaining life in a design through the study of real-life component design and current failures.<br />

MEC 481 Quality Control (3 = 3 + 0)<br />

Prerequisites: FES 202, MEC 311<br />

This course introduces the students to the modern statistical methods for quality control and improvement. It<br />

covers a variety of topics including quality improvement and productivity; quality costs, total quality<br />

management; statistical process control; control of incoming material, control charts for attribute and variable<br />

data, process capability. Process optimization and design of experiments; screening methods, fractional factorial<br />

experiments, Taguchi methods, empirical regression models; acceptance sampling.<br />

Faculty and Teaching Staff – Mechanical and Industrial Engineering<br />

Dr Mama Chacha (Chair)<br />

Associate Professor<br />

PhD (Mechanical Engineering), Université Aix-Marseille I, France, 1995, MSc (Mechanical<br />

Engineering), Université Aix-Marseille I, France, 1991, BSc (Mechanical Engineering), Institute of<br />

Industrial Thermal Systems, France, 1990<br />

Prof Samir El Dessouky<br />

Professor<br />

PhD (Operations Research and Computational Science), George Washington <strong>University</strong>, USA, 1985,<br />

MSc (Operations Research and Computational Science), George Washington <strong>University</strong>, USA, 1981,<br />

BSc (Mechanical Engineering), Ain Shams <strong>University</strong>, Egypt, 1969<br />

Dr Adnan A Bashir<br />

Associate Professor<br />

PhD (Industrial Engineering), Florida State <strong>University</strong>, USA, 2003, MSc (Industrial and Management<br />

Engineering), <strong>University</strong> of Jordan, Jordan, 1991, BSc (Civil Engineering), <strong>University</strong> of Jordan,<br />

Jordan, 1986<br />

Dr Mehdi Shemirani<br />

Assistant Professor<br />

PhD (Mechanical Engineering), Ryerson <strong>University</strong>, Canada, 2011, MSc (Mechanical Engineering),<br />

Ryerson <strong>University</strong>, Canada, 2008, BE (Manufacturing Engineering Technology), McMaster<br />

<strong>University</strong>, Canada, 2006<br />

Dr Noha Mohamed Hassan<br />

Assistant Professor<br />

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