Supporting Inductive Learning in Engineering Courses
Using MapleSim, students schematically represent electrical and mechanical systems, simulate their changes over time, and examine the analytical equations which underlie the model. These equations, which are generated automatically by MapleSim, are in a form that is similar to what students see in class, so students can examine them to derive further insight into the dynamics of their systems. MapleSim, used in conjunction with traditional hands-on electronics lab activities, permits the students to explore the behavior of the systems of interest in an inductive learning manner more representative of natural, everyday learning.
Physics-based Models, Sensitivity Analysis, and Optimization of NiMH Batteries
This 60-minute webcast will focus on effective, systematic steps in the mathematical simplification and reduction of physics-based NiMH battery models to improve computational efficiency. The battery model used for simulations is an isothermal model proposed by Newman and Tiedemann and Doyle et al. It incorporates the concentrated solution theory, the porous electrode theory, and the variations in electronic/ionic conductivities and diffusivities. The simplified model is formulated by exploiting the nature of the model and the structure of the governing equations. The reduced order model will be numerically simulated to demonstrate the reduction in computational time without significant losses in accuracy.
Battery Design Innovation: It’s All About the Mathematics
The field of energy storage is extremely active with a constant stream of innovations being deployed to address some major design challenges. At the heart of this activity is the commercial drive to increase energy density (energy stored per unit mass), extend battery life, and improve overall charge/discharge efficiencies in order to reduce unit costs and enhance product reliability. One constant of battery research is the need to consider fundamental physical concepts when designing new batteries.
Advanced Online Testing Solutions in a Freshman Engineering Computation Lab
In this webinar we will illustrate how you can reinforce engineering concepts while effectively testing and assessing students using a combination of programming, modeling and simulation, and advanced testing technologies.
Transforming the Freshman Cornerstone Design Course Through Modeling and Simulation
This webinar presents a detailed case study of the recent McMaster University initiative to enrich its cornerstone course. The key new element is the introduction of a dynamic modeling software package to allow students to analyze and explore the system dynamics, and ultimately the design options, for a real system.
Advanced Physical Modeling Tackles the Complexity of Modern Engineering
This webinar illustrates how engineering researchers are making significant strides in their work with the help of advanced physical modeling technology. It highlights the work of three researchers, and discusses such diverse projects as space rovers, hockey sticks, parallel manipulators, and electric and hybrid-electric vehicle batteries. In this panel discussion lead by Dr. Derek Wright of Maplesoft, learn firsthand how advanced physical modeling and simulation technology can enrich your classroom and accelerate your research.
Educational Techniques for the Next Generation of Engineers
The way we teach undergraduates mathematical and design concepts in engineering modeling has remained unchanged for almost half a century. Industry is undergoing a major transformation and we stand to fall behind in our pedagogy. However, new software is finally emerging that promises to reconcile theory with application and design in industry, research, and ultimately in the classroom.
Advanced Physical Modeling Revitalizes the Freshmen “Cornerstone” Design Course
Engineering design projects are an important learning tool for first-year engineering students. These projects provide a structured approach to the design process, giving students a solid understanding of how to move from a mere concept to a working model of a system. These projects not only give students the knowledge and skills to produce such outcomes, but also give students confidence in their abilities to complete future projects.