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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.

Fluid Dynamics and Computational Fluid Dynamics (CFD)

Relevant Course Packages All Course Packages →

Bridge Design and Analysis

Explore the principles of designing and analyzing a variety of bridges, such as suspension, truss, arch, and beam structures, through immersive XR simulations. Students can enhance their skills by creating virtual models, analyzing forces, and assessing structural behavior under dynamic loads. Engage in interactive scenarios to test bridge designs against real-world challenges, including wind, earthquakes, and traffic. Receive detailed feedback on load distribution, material optimization, and stability improvements to refine designs effectively.

Robotics and Mechatronics Integration

Provide students with hands-on experience in designing, programming, and integrating robotic systems with mechanical components through immersive XR simulations. Students will work with virtual robotic arms and mechatronic systems, programming movements, adjusting sensors, and controlling actuators. The simulation includes interactive scenarios for integrating mechanical and electronic systems using sensors, motors, and control logic. Students will receive real-time feedback on robotic precision, response time, and the overall performance of the integrated 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.

Plasma Processing Simulation

Immerse in plasma processing through interactive XR simulations. Master key techniques for etching and deposition in semiconductor manufacturing, including reactive ion etching (RIE) and plasma-enhanced chemical vapor deposition (PECVD), with real-time process adjustments and optimization.

Surveying and Geographic Information Systems (GIS)

Gain practical insights into land surveying and the application of GIS technology in civil engineering projects. Virtual scenarios let students operate surveying instruments like total stations, theodolites, and GPS receivers to collect precise data. Interactive tools allow for the creation of topographic maps, contour lines, and spatial data analysis using GIS software. Feedback focuses on improving surveying precision, interpreting data accurately, and mastering mapping techniques.

Welding Automation and Robotic Welding Simulation

The Welding Automation and Robotic Welding Simulation leverages XR to immerse users in operating and programming automated welding systems. Participants configure robotic arms for tasks like repetitive joints or intricate components, fine-tune welding parameters, and monitor processes for optimal performance. Feedback ensures proper setup, weld precision, and efficiency in industrial scenarios.

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.