Hazim El-Mounayri

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https://hdl.handle.net/1805/6690

Hazim El-Mounayri has translated his research into practical technology that brings virtual training to tomorrow's manufacturing workforce. The Advanced Virtual Manufacturing Laboratory (AVML), developed with industrial partner Advanced Science and Automation Corp., provides virtual training and education on high-tech Computer Numerically Controlled (CNC) machines. It enables colleges to easily and inexpensively provide students with effective, safe, and highly accessible web-based training on advanced machining tools, equipment and processes.

AVML is a valuable tool for training the local workforce in advanced manufacturing. The system can be used by machine tool manufacturers to provide online training, reducing or eliminating the need for on-site, live training classes for their customers. The system can also be used for machining process verification and optimization. The AVML is so versatile it can run on desktop or laptop personal computers as well as on more sophisticated 3D and fully immersive systems.

The new technology opens the door for effective distance education in disciplines that were traditionally confined to live teaching, including engineering, physics, and science. It is expected to be a major tool for training of Indiana's workforce in advanced manufacturing and attracting talented students to engineering and technology directly from high schools.

Professor El-Mounaryi's use of technology to expand the reach of teaching and training in advanced manufacturing is another practical example of how IUPUI's faculty members are TRANSLATING their RESEARCH INTO PRACTICE.

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Browsing Hazim El-Mounayri by Author "Acheson, Doug"

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    Design Optimization of Injection Molds with Conformal Cooling for Additive Manufacturing
    (Office of the Vice Chancellor for Research, 2015-04-17) Wu, Tong; Jahan, Suchana A.; Kumaar, Praveen; Tovar, Andres; El-Mounayri, Hazim; Zhang, Yi; Zhang, Jing; Acheson, Doug; Nalim, M. Razi
    Abstract This is a framework for optimizing additive manufacturing of plastic injection molds. The proposed system consists of three modules, namely process and material modeling, multi-scale topology optimization, and experimental testing, calibration and validation. Advanced numerical simulation is implemented for a typical die with conformal cooling channels to predict cycle time, part quality and tooling life. A thermo-mechanical topology optimization algorithm is being developed to minimize the die weight and enhance its thermal performance. The technique is implemented for simple shapes for validation before it is applied to dies with conformal cooling in future work. A method for designing a die with porous material which can be produced in additive manufacturing is developed. Also a comprehensive set of systemic design rules are developed and to be integrated with CAD modeling to automate the process of obtaining viable plastic injection dies with conformal cooling channels. Finally, material modeling using simulation as well as design of experiments is underway for obtaining the material properties and their variations.
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    A Framework for Optimizing the Design of Injection Molds with Conformal Cooling for Additive Manufacturing
    (2015-01-01) Wu, Tong; Jahan, Suchana A.; Kumaar, Praveen; Tovar, Andres; El-Mounayri, Hazim; Zhang, Yi; Zhang, Jing; Acheson, Doug; Brand, Kim; Nalim, M. Razi
    This work presents a framework for optimizing additive manufacturing of plastic injection molds. The proposed system consists of three modules, namely process and material modeling, multi-scale topology optimization, and experimental testing, calibration and validation. Advanced numerical simulation is implemented for a typical die with conformal cooling channels to predict cycle time, part quality and tooling life. A multi-scale thermo-mechanical topology optimization algorithm is being developed to minimize the die weight and enhance its thermal performance. The technique is implemented for simple shapes for validation before it is applied to dies with conformal cooling in future work. Finally, material modeling using simulation as well as design of experiments is underway for obtaining the material properties and their variations.