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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 →

Deck and Porch Construction

Explore the process of designing and constructing outdoor structures such as decks and porches, focusing on framing, flooring, railing installation, and weatherproofing, enhanced by XR technology.

Sensor and Actuator Integration Simulation

Sensor and Actuator Integration Simulation teaches students how to integrate various types of sensors (such as proximity, temperature, and pressure) with actuators in automated systems. Through hands-on simulations, students will virtually integrate sensors into control systems, monitor input data in real-time, and observe how actuators (such as motors, solenoids, and relays) respond to sensor inputs. The course provides valuable feedback on sensor accuracy, system responsiveness, and effective calibration techniques.

Microcontroller and Embedded Systems Programming

The Microcontroller and Embedded Systems module provides virtual environments (e.g., Arduino, Raspberry Pi) where students can design, simulate, and test embedded systems. Through interactive exercises, students learn to interface sensors, actuators, and communication modules, while writing and debugging code to control devices effectively.

Water Supply System Design and Installation

Learn to design and install water supply systems that provide clean water to buildings. This simulation offers virtual practice in designing and installing cold and hot water supply lines, selecting appropriate pipe materials like copper, PEX, or galvanized steel. It also includes connecting supply lines to fixtures, appliances, and water heaters. Real-time feedback is provided on water pressure, flow rates, and system performance.

Clinical Equipment Calibration and Maintenance

Provide hands-on training in the calibration, maintenance, and troubleshooting of clinical equipment used in hospitals and research labs through immersive XR simulations. Students will interact with devices like ventilators, infusion pumps, ECG machines, and defibrillators to enhance their technical skills and ensure optimal device performance.

Computed Tomography (CT) Simulation

Train students on the operation of CT scanners, patient positioning, and the interpretation of generated images, enhanced with XR-based simulations for hands-on learning.

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.