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Learning Objectives

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

Learn the causes and effects of ESD on semiconductor devices and circuits.
Explore the vulnerabilities of devices to static electricity during manufacturing and assembly.
Gain hands-on experience in using anti-static equipment such as wrist straps, mats, and ionizers.
Practice proper grounding techniques and procedures to minimize charge buildup in working environments.
Analyze virtual scenarios showcasing ESD damage during key stages like wafer processing, testing, and packaging.
Learn how to identify high-risk situations and implement corrective measures.

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.

Electrostatic Discharge (ESD) Prevention Simulation

Relevant Course Packages All Course Packages →

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.

Smart Grid and Internet of Things (IoT) Integration

The Smart Grid and Internet of Things (IoT) Integration module trains students on integrating smart grid technology with IoT devices in electrical systems. Through interactive virtual simulations, students explore the design, communication, and management of smart grid components, focusing on scalability, security, and energy efficiency.

Kinematics and Dynamics of Machines

Train students in analyzing the motion and dynamics of mechanical systems and linkages using immersive XR simulations. Students will interact with virtual models of mechanisms such as gears, cams, pulleys, and crankshafts to observe and study their movement. The simulation offers interactive lessons on calculating velocities, accelerations, forces, and torques within mechanical linkages, with real-time feedback. The system will help students understand how to evaluate and optimize the efficiency of machines, force transmission, and performance.

Robotic Surgery and Medical Robotics Simulation

Provide immersive training on robotic-assisted surgery and the design of medical robots through XR simulations. Students will master controlling robotic arms for minimally invasive procedures and learn how to program medical robots for precise tasks like suturing, tissue manipulation, and incision creation.

Hydronic Heating Systems

The Hydronic Heating Systems Simulation trains students on hydronic heating systems, which use water to distribute heat throughout a building. Students can practice virtually installing and troubleshooting systems that include boilers, radiators, and piping systems. Interactive exercises focus on adjusting water flow rates, pressure settings, and temperature control for radiant heating. Real-time feedback is provided on system balance, heat distribution, and energy efficiency.

Biomedical Signal Processing and Analysis

Equip students with the skills to acquire, process, and analyze biomedical signals such as ECG, EEG, EMG, and blood pressure. Using interactive simulations, learners will explore signal collection from virtual patients, apply signal processing techniques, and interpret data for diagnosing medical conditions.

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.