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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 →

Wind and Solar Energy Systems Simulation

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CNC Programming and Machining

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Control System Design and Tuning

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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.

Control Systems and Automation

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.

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.