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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 →

Semiconductor Device Testing and Quality Control

Master semiconductor device testing and quality control through interactive XR simulations. Explore virtual testing stations to perform electrical assessments, troubleshoot defective devices, and optimize performance, ensuring adherence to strict manufacturing and quality standards.

Metal Cutting and Preparation Simulation

The Metal Cutting and Preparation Simulation immerses users in various metal cutting techniques such as oxy-fuel, plasma cutting, and grinding, all essential for preparing metals for welding. The simulation includes interactive scenarios for cutting different metals and thicknesses, along with grinding and smoothing edges. Feedback is provided on cut precision, surface quality, and preparation to ensure optimal conditions for welding.

Weld Defect Identification and Correction

The Weld Defect Identification and Correction simulation leverages XR technology to train participants in recognizing and addressing common welding defects, ensuring superior weld quality. Through interactive scenarios and real-time feedback, users refine their skills in diagnosing and rectifying flaws.

Environmental Biotechnology and Bioremediation

Utilize biotechnological techniques for environmental protection and pollution control through immersive XR simulations. Apply methods for soil, water, and air remediation using microbes, design biofilters, and implement phytoremediation strategies to address real-world environmental challenges.

Motor Control Circuits Simulation

Explore the design and troubleshooting of motor control circuits used in industrial automation. In this simulation, students will virtually install and wire motor starters, relays, and control circuits for electric motors. They will program motor control systems, utilizing start/stop buttons, overload protection, and variable speed drives. The simulation offers real-time feedback on system performance, motor control accuracy, and troubleshooting techniques, enhanced with XR for an immersive learning experience.

Engine Performance Monitoring and Diagnostics

Enhance expertise in monitoring engine performance metrics and diagnosing operational inefficiencies in areas like power output, fuel economy, and emission control using XR-powered simulations.

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.