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Learning Objectives

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

Explore various milling operations such as face milling, side milling, slotting, and drilling using XR simulations.
Enhance understanding of workholding techniques including the use of vises, clamps, and fixtures for secure material placement.
Improve decision-making in selecting the right cutting tools and adjusting machine settings for optimal performance.
Receive real-time feedback on milling precision, surface finish quality, and tool wear to ensure accurate results.
Develop troubleshooting skills for addressing common milling machine issues and improving operational efficiency.

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 →

CNC Programming and Machining

Explore CNC programming and machining with XR simulations, providing hands-on experience in automated production for various machining operations.

Fluid Dynamics and Computational Fluid Dynamics (CFD)

Enhance your understanding of fluid dynamics principles and their application in engineering systems through XR-powered simulations.

Signal Processing and Filtering Techniques

The Signal Processing and Filtering Techniques module provides virtual tools and interactive exercises to teach students how to process and analyze electrical signals using both digital and analog filtering methods. Through hands-on simulations, students explore signal conditioning, transformation, and noise reduction techniques.

Biochemical Pathways and Metabolic Engineering

Explore metabolic pathways and their engineering through immersive XR simulations, focusing on optimizing microbial processes to produce valuable biochemicals. Utilize virtual tools to study pathways, identify bottlenecks, and implement strategies for efficient metabolite production.

Patient Assessment and Vital Signs Monitoring

The "Patient Assessment and Vital Signs Monitoring" module equips students with the essential skills to perform comprehensive patient assessments and monitor vital signs effectively. Through immersive virtual scenarios and interactive tutorials, learners will interact with virtual patients to measure and analyze critical health parameters, assess symptoms, and make informed clinical decisions. Real-time feedback ensures accuracy and reinforces data interpretation for improved clinical judgment.

Refrigerant Handling and Charging Simulation

The Refrigerant Handling and Charging Simulation provides training on safely handling refrigerants, charging HVAC systems, and recovering refrigerants in compliance with EPA regulations. The simulation features virtual scenarios where students select the appropriate refrigerant types, connect service gauges, and monitor pressures during the charging process. Interactive exercises on refrigerant recovery allow students to practice safe recovery techniques before repairs or replacements. Real-time feedback is provided on refrigerant levels, system pressures, and adherence to EPA regulations for proper refrigerant handling.

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.