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Learning Objectives

At the end of this simulation, you will be able to:

Identify and describe the operation of different electrical machines: induction, synchronous, DC, and stepper motors, and generators.
Operate and test virtual models of motors and generators, analyzing performance characteristics and operational behavior.
Understand and apply control methods such as Variable Frequency Drives (VFDs) and soft starters for motor speed and torque control.
Analyze torque-speed curves and determine the relationship between motor performance, efficiency, and load conditions.
Apply techniques to improve system efficiency by analyzing and implementing power factor correction strategies.

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 →

Rocket Propulsion and Launch Systems

Explore the principles of rocket propulsion and the dynamics of launch systems through XR-powered simulations. Students engage in virtual rocket labs where they design and analyze rocket engines, simulate propellant flow, and study thrust and trajectory. Interactive scenarios allow students to gain a deeper understanding of staging, ignition sequences, and flight stability during launch, with feedback provided on propulsion efficiency, fuel consumption, and optimization of launch trajectories.

Interventional Radiology Procedures

Immerse students in the advanced field of interventional radiology through XR-enabled simulations. This training focuses on mastering minimally invasive, image-guided techniques used for diagnostics and therapeutic interventions.

Vibration Analysis and Mechanical Resonance

This XR simulation enables students to analyze vibration patterns and mechanical resonance in rotating and reciprocating systems. They will interact with virtual scenarios where they can examine vibration frequencies, amplitudes, and damping within mechanical structures. The simulation guides students through detecting resonance, identifying sources of vibration, and implementing solutions to reduce noise and wear. Real-time feedback will focus on vibration analysis, system stability, and reliability, providing students with the skills to ensure the durability and optimal performance of mechanical systems.

Structural Analysis and Finite Element Analysis (FEA)

Explore the principles of structural analysis and the application of Finite Element Analysis (FEA) to evaluate and optimize engineering designs.

Signal Processing and Filtering Techniques

The Signal Processing and Filtering Techniques module provides virtual tools and interactive exercises to teach students how to process and analyze electrical signals using both digital and analog filtering methods. Through hands-on simulations, students explore signal conditioning, transformation, and noise reduction techniques.

Control System Design and Tuning

Explore the design, simulation, and tuning of control systems for mechanical and electrical applications. Through interactive simulations, students will design feedback control systems using PID (Proportional-Integral-Derivative) controllers to regulate variables such as speed, temperature, or position. Real-time feedback will help students evaluate control system stability, response times, and error minimization for optimal system performance.

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.