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Learning Objectives

At the end of this simulation, you will be able to:
  • Understand fluid flow principles, including velocity, pressure, and turbulence, and their relevance in engineering systems.
  • Visualize and analyze fluid behavior in pipes, channels, and around objects like airfoils and turbines using virtual simulations.
  • Set up and interpret CFD simulations to study flow characteristics, boundary layers, and pressure distributions.
  • Explore strategies for drag reduction and optimizing fluid flow efficiency in various engineering applications.
  • Apply CFD analysis techniques to design and refine fluid-based systems for improved performance and energy efficiency.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

  • Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
  • Incorporate a teacher dashboard for automated grading and monitoring of student progress.
  • Utilize embedded quizzes to assist students in mastering scientific content.
  • Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Relevant Course Packages All Course Packages

Electromagnetics and Wave Propagation

The Electromagnetics and Wave Propagation module allows students to explore the principles of electromagnetic fields and wave propagation through virtual labs and interactive scenarios. By simulating key concepts, students gain insights into the behavior of electromagnetic waves, field interactions, and signal transmission across various media and systems.

Robotics and Automation Simulation

Robotics and Automation Simulation course allows students to explore the principles of robotics and automation in industrial settings. Through interactive XR simulations, students can program robotic arms, manipulators, and other equipment to perform tasks such as welding, assembly, and material handling. Real-time feedback on performance, efficiency, and safety ensures a hands-on, engaging learning experience, preparing students for real-world automation challenges.

Bioinformatics and Computational Biology

Explore bioinformatics tools and computational biology concepts through immersive XR experiences. Analyze biological data, model complex systems, and gain hands-on experience in DNA sequencing, protein structure analysis, and pathway mapping with interactive virtual labs and tutorials.

Etching and Deposition Techniques

Gain practical experience in etching and deposition, essential steps in semiconductor fabrication, through immersive XR simulations. Explore virtual labs that simulate dry and wet etching, along with deposition methods like CVD and PVD, with interactive controls and real-time feedback.

Power Systems and Distribution Networks

The Power Systems and Distribution Networks module immerses students in virtual environments where they explore the design, operation, and analysis of electrical power grids. Through simulations and interactive tutorials, students learn to manage generators, transformers, transmission lines, and load centers, while optimizing system performance, detecting faults, and ensuring efficient energy distribution.

Human-Machine Interface (HMI) Design

Equip students with the skills to design and program Human-Machine Interface (HMI) systems for industrial automation. Through virtual simulations, students will create HMI dashboards to monitor and control machinery, systems, and processes. They will interact with various machine parameters, such as system start-up, shutdown, and emergency stop functions, while receiving feedback on user interface design, system responsiveness, and ease of use.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.

Platform Features

Unlimited users faculty & students
Unlimited users faculty & students
Simulations
Simulations
Pedagogy Experts
Pedagogy Experts
Gamification
Gamification
Multiplayer
Multiplayer
Networking
Networking
Assignments
Assignments
Auto Grading
Auto Grading
AI
AI
LMS Integartion
LMS Integartion
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