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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 →

Energy Systems and Renewable Technologies

Explore the principles of conventional and renewable energy systems, focusing on energy conversion, sustainability, and environmental impact.

Control System Design and Tuning

Explore the design, simulation, and tuning of control systems for mechanical and electrical applications. Through interactive simulations, students will design feedback control systems using PID (Proportional-Integral-Derivative) controllers to regulate variables such as speed, temperature, or position. Real-time feedback will help students evaluate control system stability, response times, and error minimization for optimal system performance.

Genetic Engineering and Gene Editing

The Genetic Engineering and Gene Editing module trains students on techniques for modifying the genetic makeup of organisms. Through virtual tools and interactive lessons, students explore gene editing methods like CRISPR and gain insights into creating genetically modified organisms (GMOs) while considering ethical implications.

Molecular Biology and DNA Manipulation

The Molecular Biology and DNA Manipulation module introduces students to key concepts in molecular biology, focusing on DNA structure, replication, transcription, and translation. Through virtual labs and interactive tutorials, students explore essential laboratory techniques in genetic research and manipulation.

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.

Artificial Organs and Implants Simulation

Enhance students' understanding of artificial organs and implants through immersive XR simulations. Students will explore the design, function, and integration of artificial organs, including heart, kidney, and joint implants, and simulate their implantation and performance in virtual patients.

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.