Science and, United States
Science and, United States

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Wasfy H.M.,Advanced Science and Automation Corporation | Wasfy T.M.,Indiana University | Peters J.,Advanced Science and Automation Corporation | El-Mounayri H.A.,Indiana University
Computers in Education Journal | Year: 2013

In this paper, we present the framework for an online virtual reality based learning environment for automated process training. The system has a lecture component that uses text-to-speech narrated lectures that are synchronized with interactive 2D and 3D graphics to introduce students to the concepts they will train on. The system also has a virtual environment (VE) that students navigate, in first person, where the practical training takes place. The VE contains accurate graphical models of the equipment on which training is sought, and is programmed with the logic of how the equipment is operated, and how it behaves. The system was used in various applications including training in the operation of Computer Numeric Control (CNC) milling and turning machines, welding machines, and industrial centrifugal pumps. In a pedagogical study that was done on the system, it was found that the virtual reality enhanced interactive online training produced similar student outcomes as compared to the traditional classroom lecture/lab approach.


Wasfy H.M.,Advanced Science and Automation Corporation | Wasfy T.M.,Indiana University | Peters J.,Advanced Science and Automation Corporation | Mahfouz R.M.,Thomas College
Computers in Education Journal | Year: 2013

In this paper, the design and merits of an automated online Intelligent Tutoring System (ITS) are presented. The ITS contains an ontology of the topics of the course topics (the course model) that guides its remedial actions when it encounters a student assessment failure. Furthermore, the ITS keeps track of the student's declarative and intuitive proficiency scores in every course topic (the student model). The ITS uses formative assessments to gauge the student's performance and navigates the course non-linearly by finding and correcting the root cause of any assessment failure. The ITS thus ensures that the student attains the required level of proficiency in every course topic by continuously assessing and remediating these topics during course delivery. The ITS also flags terminal failures that it is unable to remediate. The proposed ITS has great potential for improving student achievement and for reducing the cost and time of learning.


Yildiz C.,Indiana University – Purdue University Indianapolis | Wasfy T.M.,Indiana University – Purdue University Indianapolis | Wasfy H.M.,Advanced Science and Automation Corporation | Peters J.M.,Advanced Science and Automation Corporation
Proceedings of the ASME Design Engineering Technical Conference | Year: 2015

In order to accurately predict the fatigue life and wear life of a belt, the various stresses that the belt is subjected to and the belt slip over the pulleys must be accurately calculated. In this paper, the effect of material and geometric parameters on the steady-state stresses (including normal, tangential and axial stresses), average belt slip for a flat belt, and belt-drive energy efficiency is studied using a high-fidelity flexible multibody dynamics model of the belt-drive. The belt's rubber matrix is modeled using three-dimensional brick elements and the belt's reinforcements are modeled using one dimensional truss elements. Friction between the belt and the pulleys is modeled using an asperity-based Coulomb friction model. The pulleys are modeled as cylindrical rigid bodies. The equations of motion are integrated using a time-Accurate explicit solution procedure. The material parameters studied are the belt-pulley friction coefficient and the belt axial stiffness and damping. The geometric parameters studied are the belt thickness and the pulleys' centers distance. Copyright © 2015 by ASME.


Wasfy T.M.,Indiana University – Purdue University Indianapolis | Wasfy H.M.,Advanced Science and Automation Corporation | Peters J.M.,Advanced Science and Automation Corporation
Proceedings of the ASME Design Engineering Technical Conference | Year: 2015

Multibody dynamics and the discrete element method (DEM) are integrated into one solver for predicting the mobility characteristics (including the no-go condition, maximum speed, and required engine torque/power) of ground vehicles on rough off-road soft soil (such as mud and snow) terrains. High fidelity multibody dynamics models are used for the various vehicle systems including: suspension system, wheels, steering system, axle, differential, and engine. A penalty technique is used to impose joint and normal contact constraints. An asperity-based friction model is used to model joint and contact friction. A DEM model of the soil with a cohesive soft soil material model is used. The material model can account for the soil compressibility, plasticity, fracture, friction, viscosity, gain in cohesive strength due to compression, and loss in cohesive strength due to tension. The governing equations of motion are solved along with joint/constraint equations using a timeaccurate explicit solution procedure. The model can be used to predict the mobility of ground vehicles as a function of soil type, terrain long slope, and terrain side slope. Typical simulations of a Humvee-type vehicle are provided to demonstrate the model. © Copyright 2015 by ASME.


Wasfy T.M.,Indiana University – Purdue University Indianapolis | Wasfy H.M.,Advanced Science and Automation Corporation | Peters J.M.,Advanced Science and Automation Corporation
Proceedings of the ASME Design Engineering Technical Conference | Year: 2015

Multibody dynamics and smoothed particle hydrodynamics (SPH) are integrated into one solver for predicting the water fording dynamic response of ground vehicles. Multibody dynamics models are used for the various vehicle systems including: suspension system, wheels, steering system, axles, differential, and engine. A penalty technique is used to impose joint and normal contact constraints (between the tires and ground, and between the tires/vehicle body and the fluid particles). An asperity-based friction model is used to model joint and contact friction. Water is modeled using an SPH particle-based approach along with a large eddy-viscosity turbulence model. A contact search algorithm that uses a Cartesian Eulerian grid around the water pool is used to allow fast contact detection between particles. A recursive bounding box contact search algorithm is used to allow fast contact detection between polygonal contact surfaces (representing the tires and vehicle body) and the fluid particles. The governing equations of motion for the solid bodies and the fluid particles are solved along with joint/constraint equations using a timeaccurate explicit solution procedure. The integrated solver is used to predict the dynamic response of a Humvee-type vehicle moving through a shallow water pool. © Copyright 2015 by ASME.


Sane A.,Indiana University | Wasfy T.M.,Indiana University | Wasfy H.M.,Advanced Science and Automation Corporation | Peters J.M.,Advanced Science and Automation Corporation
Proceedings of the ASME Design Engineering Technical Conference | Year: 2015

Multibody dynamics and the discrete element method are integrated into one solver for modeling the excavation and moving operation of cohesive soft soil (such as mud and snow) by bulldozers. A soft cohesive soil material model (that includes normal and tangential inter-particle force models) is presented that can account for soil flow, compressibility, plasticity, fracture, friction, viscosity, gain in cohesive strength due to compression, and loss in cohesive strength due to tension. Multibody dynamics techniques are used to model the various bulldozer components and connect those components using various types of joints and contact surfaces. A penalty technique is used to impose joint and normal contact constraints. An asperity-based friction model is used to model joint and contact friction. A Cartesian Eulerian grid contact search algorithm is used to allow fast contact detection between particles. A recursive bounding box contact search algorithm is used to allow fast contact detection between the particles and polygonal contact surfaces. The governing equations of motion are solved along with joint/constraint equations using a timeaccurate explicit solution procedure. A numerical simulation of a bulldozer performing a shallow digging operation in a cohesive mud-type soil is presented to demonstrate the integrated solver. The solver can be used to improve the design of the various bulldozer components such as the blade geometry, tire design, and track design. © Copyright 2015 by ASME.


Wasfy H.M.,Advanced Science and Automation Corporation | Wasfy T.M.,Indiana University – Purdue University Indianapolis | Peters J.M.,Advanced Science and Automation Corporation | Mahfouz R.M.,Thomas College
Proceedings of the ASME Design Engineering Technical Conference | Year: 2011

In this paper we present the main features of a virtual-reality enhanced online learning environment that can be used to deliver fully automated online courses with an ultimate goal of substituting traditional classroom instruction for many science, technology, engineering and math courses. The learning environment incorporates a high level of interactivity that will make the student an active participant in the learning experience, rather than a passive spectator. Virtual-reality is seamlessly integrated in order to simulate lab experiments, scientific instruments and/or industrial equipment. This will help bridge the gap between real world experience and online learning. The learning environment is illustrated using recently developed online courses for freshman university Physics, welding, CNC machining, and centrifugal pump maintenance. © 2011 by ASME.


Wasfy T.M.,Indiana University – Purdue University Indianapolis | Wasfy H.M.,Advanced Science and Automation Corporation | Peters J.M.,Advanced Science and Automation Corporation
Proceedings of the ASME Design Engineering Technical Conference | Year: 2014

Multibody dynamics and the discrete element method (DEM) are integrated into one solver for predicting the dynamic response of ground vehicles which run on wheels and/or tracks on cohesive soft soils (such as mud and snow). Multibody dynamics techniques are used to model the various vehicle components and connect those components using various types of joints and contact surfaces. A penalty technique is used to impose joint and normal contact constraints. An asperity-based friction model is used to model joint and contact friction. A soft cohesive soil material model (that includes normal and tangential inter-particle force models) is presented that can account for soil compressibility, plasticity, fracture, friction, viscosity, cohesive strength and flow. A Cartesian Eulerian grid contact search algorithm is used to allow fast contact detection between particles. A recursive bounding box contact search algorithm is used to allow fast contact detection between the particles and polygonal contact surfaces. The governing equations of motion are solved along with joint/constraint equations using a time-accurate explicit solution procedure. Numerical simulations of a typical vehicle going over a slopped soft soil terrain are presented to demonstrate the integrated solver. The solver can be used in vehicle design optimization. Copyright © 2014 by ASME.


Wasfy T.M.,Indiana University – Purdue University Indianapolis | Wasfy H.M.,Advanced Science and Automation Corporation | Peters J.M.,Advanced Science and Automation Corporation
Proceedings of the ASME Design Engineering Technical Conference | Year: 2014

Multibody dynamics and smoothed particle hydrodynamics (SPH) are integrated into one solver for predicting the dynamic response of tanker trucks. Multibody dynamics techniques are used to model the various vehicle components and connect those components using various types of joints and contact surfaces. A penalty technique is used to impose joint and normal contact constraints (between the tires and ground, and between the tank and the fluid particles). An asperity-based friction model is used to model joint and contact friction. The liquid in the tanks is modeled using an SPH particle-based approach. A contact search algorithm that uses a moving Cartesian Eulerian grid that is fixed to the tank is used to allow fast contact detection between particles. A recursive bounding box contact search algorithm is used to allow fast contact detection between polygonal contact surfaces and the fluid particles. The governing equations of motion for the solid bodies and the fluid particles are solved along with joint/constraint equations using a time-accurate explicit solution procedure. The integrated solver is used to predict the dynamic response of a typical tanker truck performing a braking test with an empty, half-full and full tank. The solver can be used in vehicle design optimization to simulate and evaluate various vehicle designs. Copyright © 2014 by ASME.


Grant
Agency: National Science Foundation | Branch: | Program: SBIR | Phase: Phase II | Award Amount: 510.00K | Year: 2009

This Small Business Innovation Research (SBIR) Phase II project proposes the development of a web-based collaborative Virtual Learning Environment for teaching freshman university physics, called the Virtual Physics Lab (VPL). The VPL will deliver an individualized self-paced learning experience using high-end multimedia lectures, and interactive virtual-reality simulations. The multimedia lectures are delivered using a synchronized multimodal combination of both highlighted text and speech that is delivered by near-photorealistic intelligent animated virtual instructors. The multimedia lectures include interactive Flash animations, movies, and 2D/3D animated illustrations. The VPL's interactive simulations are delivered in a video-game-like 3D virtual environment using physics-based models to simulate physics concepts such as pendulums, impact, buoyancy, magnetism etc. The VPL is highly interactive and uses pre-topic, in-topic, and post-topic questions to keep students engaged and to assess whether or not students need further training in any given subject. The VPL also includes collaborative/competitive mini 3D computer games that use relevant physics principles to increase the students' interest about the material being taught, and to add entertainment and competitive dimensions to the learning experience. The VPL's interactivity and the visually stimulating instruction will result in faster assimilation, deeper understanding, and higher memory retention by the students than traditional text-book/classroom learning. The VPL has the potential to radically change the way physics is taught. Due to the current exponential rate of increase in human scientific and technical knowledge, there is a need for students to assimilate more knowledge at a faster rate. Current classroom and text-book instruction delivery methods cannot satisfy this need due to a variety of reasons, including, delivery of the lecture in non-engaging and minimally interactive way, use of antiquated static graphical illustrations, variability of teacher skill, lack of one-on-one teacher attention, and variability of student learning styles and speeds. The VPL will help overcome those limitations. Particularly, it will enhance the quality, accessibility, and speed of learning. It will enhance the student experimentation, creativity and problem-solving capability. Freshman university physics was chosen because it is one of the essential foundations for training high-caliber engineers and scientists who will ensure the continued leadership of the US in developing new technologies and in conducting cutting-edge scientific research. The US market for the proposed learning tool is estimated at 500,000 licenses per year. A larger market exists worldwide in English language speaking countries, and for future versions of the VPL that will be translated into other languages.

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