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University / College

Learning Objectives

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

Explain the principles of digital and analog signal processing, including signal representation and transformation.
Create virtual low-pass, high-pass, band-pass, and notch filters for effective signal conditioning.
Use Fourier transforms to analyze and interpret signal frequency components and characteristics.
Implement signal modulation techniques for communication and data transmission applications.
Apply noise reduction methods to improve signal clarity and accuracy in practical applications.

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.

Signal Processing and Filtering Techniques

Relevant Course Packages All Course Packages →

Wind Tunnel Testing and Aerodynamic Optimization

Gain hands-on experience in wind tunnel testing to study the aerodynamic behavior of aircraft models and optimize designs for improved flight performance. Using virtual wind tunnel environments, students will explore how lift, drag, and flow separation are affected by various aerodynamic factors. With interactive tools, they can adjust test conditions like wind speed, angle of attack, and turbulence levels, while receiving feedback on optimizing wing and fuselage shapes for maximum efficiency.

Drug Delivery Systems and Microfluidics

Empower students to master the design and function of drug delivery systems with a focus on microfluidic devices for precise medication administration. Through immersive simulations, students will design and test microfluidic devices, optimizing fluid dynamics and dosage control for various medical conditions.

Finite Element Analysis (FEA) Simulation

Train students to perform stress, strain, and deformation analysis on mechanical components using Finite Element Analysis (FEA) through immersive XR simulations. The virtual environment allows students to apply loads, constraints, and boundary conditions to 3D models of mechanical components, providing interactive lessons on stress distribution, thermal effects, vibration analysis, and material failure points. Feedback is provided on the structural integrity, safety factors, and optimization of mechanical designs to improve understanding and decision-making in engineering design processes.

Machining Materials and Tool Selection

Provide hands-on training in selecting and machining various materials, including steel, aluminum, brass, and plastics. Through virtual XR simulations, students will match materials with the correct cutting tools based on hardness, toughness, and machinability. They will practice adjusting cutting parameters, like speed, feed rates, and depth of cut, ensuring optimal performance and longevity of tools in real-time machining scenarios. This immersive experience will help students understand material behavior and improve machining efficiency in both manual and CNC operations.

Automotive Aerodynamics and Wind Tunnel Testing

Gain insights into vehicle aerodynamics using XR-based wind tunnel simulations to optimize performance and fuel efficiency.

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.