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Learning Objectives

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

Understand the fundamental properties of machining materials such as steel, aluminum, brass, and plastics.
Learn how to select the appropriate cutting tools based on material characteristics like hardness and machinability.
Gain practical experience in adjusting machining parameters (speed, feed rate, depth of cut) for different materials to optimize tool life and efficiency.
Explore the impact of material properties on cutting tool performance and wear through XR-based simulations.
Develop skills in troubleshooting machining challenges such as tool wear and material deformation during the cutting process.

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 →

Transmission Systems and Gearbox Design

This module focuses on automotive transmission systems, including manual, automatic, and CVTs. It provides students with a hands-on approach to understanding the design and functionality of various transmission components such as gears, clutches, and differentials. Through virtual simulations, students will learn about gear ratio calculations, shifting mechanisms, and the optimization of power transmission in vehicles.

Mechatronic Systems Troubleshooting Simulation

Provide students with XR-based scenarios to diagnose and troubleshoot common issues in mechatronic systems, including electrical, mechanical, and software faults. Using virtual diagnostic tools like multimeters, oscilloscopes, and logic analyzers, students will identify and resolve system faults such as sensor failures, PLC logic errors, and mechanical misalignments. Real-time feedback will help refine troubleshooting approaches and improve problem-solving efficiency in an immersive XR environment.

Opening and closing valves

Explore and enhance skills in safely operating and maintaining valves with XR simulations to practice various valve-opening and -closing scenarios.

Electrical Circuits and Electronics

Enhance your understanding of electrical circuits, components, and electronic systems with immersive XR simulations.

CNC Machine Programming and Operation

CNC Machine Programming and Operation trains students on Computer Numerical Control (CNC) machines, essential in modern manufacturing for automated machining. Students will virtually program CNC machines to cut, mill, or shape materials according to specific designs, and simulate the generation and execution of G-code. The course includes 3D visualization of machining paths, with real-time feedback on tool wear, precision, and cycle times to optimize machining processes.

Circuit Design and Analysis

The Circuit Design and Analysis module allows students to explore virtual electrical design environments where they can create, test, and analyze series, parallel, and complex circuits. Through interactive lessons and simulations, students gain insights into essential circuit laws and theories, while mastering troubleshooting and performance evaluation using virtual components.

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.