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Learning Objectives

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

Comprehend the fundamental properties of materials, including strength, ductility, toughness, and elasticity.
Gain hands-on experience in performing various material testing methods such as tensile, hardness, impact, and fatigue tests.
Analyze material behaviors under different stress conditions and select appropriate materials for engineering applications.
Develop the ability to optimize mechanical designs by understanding how material properties influence performance and durability.
Enhance decision-making skills for selecting materials that ensure the safety and efficiency of mechanical systems.

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.

Material Science and Mechanical Properties Analysis

Relevant Course Packages All Course Packages →

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.

Machine Maintenance and Troubleshooting

Engage in XR-driven simulations for machine maintenance, lubrication, and troubleshooting. Students will virtually perform preventive maintenance tasks such as oiling, cleaning, and inspecting machines for wear. Interactive scenarios will guide them through diagnosing and resolving common machining issues like chatter, tool breakage, misalignment, and poor surface finish. Real-time feedback on maintenance quality, machine performance, and troubleshooting accuracy helps refine their skills in maintaining and optimizing machine functionality.

Environmental and Wilderness Emergencies

Immerse students in managing environmental and wilderness emergencies through XR simulations. Students will explore scenarios involving hypothermia, heatstroke, drowning, and other extreme weather conditions, while practicing life-saving interventions and field treatment strategies.

Transformer Installation and Testing

Gain hands-on experience in installing and testing electrical transformers for power distribution. In this simulation, students will virtually install step-up and step-down transformers in industrial and commercial settings. They will practice testing transformer windings, polarity, and voltage using virtual testing equipment. Real-time feedback will be provided on transformer selection, installation safety, and testing accuracy.

Precision Measurement and Inspection

Explore the art of precision measurement and inspection using advanced tools such as micrometers, calipers, dial indicators, and gauges. This simulation allows users to virtually measure machined parts, ensuring that they meet strict dimensional tolerances. Learn how to read measurement instruments accurately, interpret technical drawings, and identify any deviations that could affect the quality of the part. With real-time feedback on measurement precision and inspection accuracy, users will gain the skills needed for quality control in manufacturing and machining processes.

Neural Engineering and Brain-Computer Interfaces (BCIs)

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.

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.