The Airflow and Duct Design Simulation trains students in calculating airflow requirements and designing ducts to ensure HVAC systems operate efficiently. The simulation features virtual tools for calculating airflow based on building dimensions and heating/cooling loads. Students engage in interactive duct design exercises, where they size ducts, select materials, and place vents for optimal airflow. Real-time feedback is provided on pressure loss, air distribution efficiency, and adherence to industry standards.
University / College
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.
Explore the fundamentals of Magnetic Resonance Imaging (MRI) techniques and their critical role in radiography, supported by immersive XR-based simulations.
Immerse students in the design and testing of neural interfaces that connect the brain to external devices, such as prosthetic limbs and communication aids. Through advanced XR simulations, students will develop and refine brain-computer interfaces (BCIs), analyze EEG signals, and create algorithms for neural control.
Gain insights into automotive manufacturing methods, including assembly, welding, and quality control, with a focus on automation and lean principles through XR-based simulations.
Explore the design and implementation of avionics systems used in modern aircraft, focusing on navigation, communication, and flight control. Engage in virtual scenarios to configure complex avionics systems such as autopilot, inertial navigation systems (INS), and radar. Through interactive lessons, integrate sensors, gyroscopes, accelerometers, and other electronic components for precise control. Receive feedback on avionics system accuracy, reliability, and the analysis of flight data in real-time.
Enhance skills in safe and efficient debris removal techniques through XR simulations, optimizing safety and productivity in various work environments.
This XR simulation trains students in designing and implementing control systems for automated mechanical processes. It provides virtual scenarios where students can program control systems, such as PID controllers, to regulate critical variables like temperature, speed, and pressure in automated systems. Interactive lessons cover feedback loops, sensors, and actuators used in automated machinery, with real-time feedback on the stability, precision, and response times of the control systems.
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.
