Dr. Abdallah Alrashdan

Department Chair & Assistant Professor of Industrial Engineering

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Alrashdan_bio
Dr. Abdalla Alrashdan is an assistant professor in Industrial Engineering in the College of Engineering. He teaches courses in Ergonomics, Work Design, and Production management. His PhD in Industrial Engineering is from Wichita State University in Kansas USA.  His current research focuses on ergonomics product design and the development of thermal management to Li-Ion batteries using phase change materials.  He works as a consultant and production manager at ALL Cell technologies in USA building Li-ion batteries used for electrical cars.  He has more than 10 years of teaching in the states.  He supervised different Master thesis at Jordan University of Science and Technology and served in many master thesis committees at Jordan University of Science and Technology and Jordan University.  He was in charge of establishing Industrial Incubator at Jordan University y of science and Technology.  He served as a referee on the Institute of Industrial Engineering conference and the International Conference in Production Research.  He regularly serves as a reviewer in Material Sciences Journals. Dr. Alrashdan published studies in various industrial engineering areas, most recently in the Proceedings of Industrial and System Engineering Conference, Montreal, Canada

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Multi-criteria end milling parameters optimization of AISI D2 steel using genetic algorithm

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Multi-criteria end milling parameters optimization of AISI D2 steel using genetic algorithm. (2014). The International Journal of Advanced Manufacturing Technology.

Anthropometry of Saudi Arabian female college students

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Anthropometry of Saudi Arabian female college students. (2014). Industrial and System Engineering Conference. Presented at the. Montreal, Canada.

Activities Identification for Activity-Based Cost/Management Applications of the Diagnostics Outpatient Procedures

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Activities Identification for Activity-Based Cost/Management Applications of the Diagnostics Outpatient Procedures. (2012). Journal for Healthcare Quality, 34, 35-43.

Drilling of Al-Mg-Cu alloys and Al-Mg-Cu/SiC composites

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Drilling of Al-Mg-Cu alloys and Al-Mg-Cu/SiC composites. (2011). Journal of Composite Materials, 45, 2091-2101.

Ergonomic Wheelchair Ramp Slope Design for Disabled Populations

Conference Paper ,
Ergonomic Wheelchair Ramp Slope Design for Disabled Populations. (2010). IIE Research Conference. Presented at the. Cancun, Mexico.

Thermo-mechanical behavior of the expanded graphite–phase change material matrix used for thermal management of Li-ion battery packs

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Thermo-mechanical behavior of the expanded graphite–phase change material matrix used for thermal management of Li-ion battery packs. (2010). Journal of Materials Processing Technology, 210, 174-179.

Prediction of density, porosity and hardness in aluminum-copper-based composite materials using artificial neural networks

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Prediction of density, porosity and hardness in aluminum-copper-based composite materials using artificial neural networks. (2009). Journal of Materials Processing Technology, .209, 894-899.

Prediction of Tribological Behavior of Aluminum–copper Based Composite

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Prediction of Tribological Behavior of Aluminum–copper Based Composite. (2009). Journal of Alloys and Compounds, 470, 584-588.

Wear behavior of Al–Mg–Cu–based composites containing SiC particles

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Wear behavior of Al–Mg–Cu–based composites containing SiC particles. (2009). Tribology International, 42, 1230-1238.

Wear behavior of Al–Cu and Al–Cu/SiC components produced by powder metallurgy

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Wear behavior of Al–Cu and Al–Cu/SiC components produced by powder metallurgy. (2008). , Journal of Mate43, No.15, A, Journal of Material Sciences, 43.

Automatic Segmentation of Digitized Data for Reverse Engineering Applications

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Automatic Segmentation of Digitized Data for Reverse Engineering Applications. (2000). IIE Transactions, 32, 59-69.

Design Model Generation for Reverse Engineering Using Multi-Sensors

Journal Article ,
Design Model Generation for Reverse Engineering Using Multi-Sensors. (1998). IIE Transactions, 30.

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