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Learning Objectives

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

Learn how to select the appropriate tools and machines for cutting internal and external threads.
Gain proficiency in setting thread pitches, adjusting machine speeds, and ensuring correct tool alignment for consistent thread cutting.
Understand the principles of thread geometry and how to control thread depth and uniformity during operation.
Develop the ability to troubleshoot common threading issues, such as incorrect pitch, misalignment, or thread damage.
Achieve an understanding of the relationship between thread fit, material properties, and application-specific requirements for effective threading.

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.

Threading Operations (Internal and External)

Relevant Course Packages All Course Packages →

Biomaterials and Tissue Engineering

Immerse students in the properties and applications of biomaterials used in implants, prosthetics, and tissue engineering through innovative virtual labs. Students will interact with biomaterials like polymers, ceramics, metals, and composites, and design tissue scaffolds for regenerative medicine, enhancing their understanding of material selection and biocompatibility.

Structural Analysis and Finite Element Analysis (FEA)

Explore the principles of structural analysis and the application of Finite Element Analysis (FEA) to evaluate and optimize engineering designs.

Protein Engineering and Biochemistry

Train students in essential techniques for protein expression, purification, and analysis, with immersive XR experiences to explore biotechnology applications. Focus on recombinant protein expression, purification methods, and enzyme activity analysis, along with designing proteins with improved properties through interactive virtual labs.

Suspension Systems and Ride Comfort Analysis

Suspension Systems and Ride Comfort Analysis focuses on the design and tuning of automotive suspension systems to achieve optimal ride quality and handling. Students will engage in virtual scenarios to adjust suspension components such as shock absorbers, springs, control arms, and anti-roll bars. The course includes interactive lessons on suspension geometry, damping characteristics, and vehicle stability, with feedback on ride comfort, handling precision, and minimizing road vibrations.

Surveying and Geographic Information Systems (GIS)

Gain practical insights into land surveying and the application of GIS technology in civil engineering projects. Virtual scenarios let students operate surveying instruments like total stations, theodolites, and GPS receivers to collect precise data. Interactive tools allow for the creation of topographic maps, contour lines, and spatial data analysis using GIS software. Feedback focuses on improving surveying precision, interpreting data accurately, and mastering mapping techniques.

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.

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.