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Learning Objectives

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

Understand the principles of kinematics and dynamics as they apply to mechanical systems and linkages, including gears, cams, pulleys, and crankshafts.
Learn how to calculate and analyze key parameters such as velocity, acceleration, force, and torque within mechanical systems.
Gain hands-on experience using XR simulations to study the motion of various mechanical components in action.
Evaluate the efficiency of different mechanical systems and identify opportunities for performance optimization.
Develop the ability to analyze and optimize force transmission across machine linkages for improved system functionality and performance.

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.

Relevant Course Packages All Course Packages →

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.

Semiconductor Device Design Simulation

Engage in semiconductor device design through interactive XR simulations. Design basic components like diodes, transistors, and integrated circuits using 2D/3D models, explore doping profiles, and evaluate performance characteristics with real-time feedback.

CAM (Computer-Aided Manufacturing) Integration

Explore XR-driven CAM (Computer-Aided Manufacturing) software simulations to teach students how to generate toolpaths for CNC machining. Students will virtually import 3D models, set up machining operations, and create G-code for CNC machines. Interactive lessons guide them through toolpath creation, cutting strategies, and simulating machining operations. Feedback on toolpath efficiency, machining time, and material removal helps refine their CAM and CNC programming skills.

Digital Electronics and Logic Design

The Digital Electronics and Logic Design module immerses students in virtual labs where they design, simulate, and analyze digital circuits. Through interactive scenarios and hands-on exercises, students work with basic and advanced digital components, gaining insights into logic operations, circuit simplification, and timing analysis in digital systems.

Electromagnetics and Wave Propagation

The Electromagnetics and Wave Propagation module allows students to explore the principles of electromagnetic fields and wave propagation through virtual labs and interactive scenarios. By simulating key concepts, students gain insights into the behavior of electromagnetic waves, field interactions, and signal transmission across various media and systems.

Geotechnical Engineering and Soil Mechanics

This XR simulation provides students with hands-on training in soil analysis, foundation design, and geotechnical investigation techniques. Virtual soil testing labs allow students to perform essential tests such as the Standard Penetration Test (SPT), Cone Penetration Test (CPT), and triaxial shear tests. The simulation includes interactive scenarios for designing shallow and deep foundations, retaining walls, and methods for slope stabilization. Students receive feedback on soil classification, bearing capacity, settlement predictions, and foundation stability to ensure they understand the fundamental principles of geotechnical engineering.

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.