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3D Scanning Methods for Reverse Engineering - UTS Open
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MICROCREDENTIAL

3D Scanning Methods for Reverse Engineering

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$2,600.00

START DATE

 Enquire now

MODE

 On Campus (Sydney)

DURATION

 8 wks

COMMITMENT

 Avg 6.25 hrs/wk

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Digitising assets, bespoke and small batch manufacturing are aligned with Industry 4.0 processes. This microcredential equips participants with skills in using 3D scanning technology to capture physical objects. You will learn tools and processes to produce CAD models from 3D scanned data for downstream analysis and/or manufacturing.

About this microcredential

3D Scanning Methods for Reverse Engineering will assist participants to gain an understanding of the technology that enables the digitising of assets. You will be guided through the use of 3D scanning technology to capture a component’s complete geometry and will use tools and processes to clean and combine meshes into complete sealed objects.

In addition, you will use reverse engineering and CAD software to create native surfaces on top of imported data, ensuring accuracy between the modelled part and its scanned original. By the end of the course, you will have been provided with the skills necessary to apply reverse engineering techniques using 3D scanning methods to digitise assets for manufacturing, quality assurance, or other purposes. 

Key benefits of this microcredential

This microcredential has been designed to equip participants with:

  • Proficiency in using 3D scanning technology and tools to capture a component’s complete geometry
  • The skills to use tools and processes to produce CAD models from 3D scanned data for downstream analysis and/or manufacturing
  • The ability to apply reverse engineering techniques using 3D scanning methods for manufacturing, quality assurance, or other purposes.

This microcredential aligns with the 3-credit point subject, Reverse Engineering Process (84003) in the Bachelor of Design in Product Design. This microcredential may qualify for recognition of prior learning at this and other institutions.

Digital badge and certificate digital badge example for UTS Open short courses

A digital badge and certificate will be awarded upon successful completion of the relevant assessment requirements and attainment of learning outcomes of the microcredential.  

Learn more about UTS Open digital badges.

Who should do this microcredential?

This microcredential is suitable for, but not limited to:

  • Engineering professionals
  • Product designers and developers
  • Quality assurance specialists
  • CAD technician and 3D modellers
  • Manufacturing industry technicians
  • Innovation and R&D teams
  • Hobbyists and makers.  
 

Price

Full price: $2,600 (GST-free)*

*Price subject to change. Please check price at time of purchase.

Enrolment conditions

Course purchase is subject to UTS Open Terms and Conditions. 

COVID-19 response 

UTS complies with latest Government health advice. Delivery of all courses complies with the UTS response to COVID-19.

Additional course information

Course outline

The content of the microcredential is structured into 3 modules. The following content will be covered during the course: 

Module 1: Using 3D scanning to capture geometry 

  • Intrinsic and extrinsic camera parameters 
  • Principles of 3D scanning technology   
  • Representations of 3D geometry. 

Module 2: Using mesh processing software

  • Data cleaning tasks such as outlier and background removal 
  • Alignment, surface reconstruction, hole filling, and manipulation of meshes. 

Module 3: Adapting 3D scans for CAD 

  • Understand the link between mesh complexity and CAD model geometry 
  • Create native surfaces on top of imported 3D data in CAD software. 

This eight-week course includes self-paced online learning as well as on-campus workshops held in weeks 3 and 7. 

Course learning objectives

By the end of the course participants should be able to:

  • Use 3D scanning technology to capture a component’s complete geometry
  • Demonstrate knowledge of using point cloud and mesh clean-up tools to remove errors and prepare faceted bodies for downstream modelling and/or manufacturing
  • Create surfaces on top of imported data to enable use in CAD software.  

Assessment

Participants will be required to complete three assessment tasks during this microcredential.

Task 1 - Participants will be required to capture and export a 3D scan and reflect on the experience with a written piece attaching the scan file. This task aims to apply understanding of camera principles in the task of 3D scanning an industrial part of moderate complexity, producing a 3D representation of the object's geometry.

Task 2 - Participants will be required to download a supplied 3D model file and rectify the errors in the file by applying mesh processing knowledge whilst saving intermediate steps. This task aims to apply understanding of the different tasks related to mesh processing in the context of 3D scanning an industrial part of moderate complexity, producing a complete 3D representation of the object's geometry.

Task 3 - Participants will be required to capture and export a 3D scan and rectify any errors by applying mesh processing knowledge. In addition, participants will load the 3D model into CAD and fit surfaces. This task aims to improve skills in 3D scanning an industrial part of moderate complexity, producing a completed 3D representation of the object's geometry in order to understand the relationship between the object surface complexity and principles of creating surfaces and parts in CAD software.  

Requirements

Mandatory

Closed footwear and long pants for workshop attendance.  

Desired

Knowledge of CAD is desirable.  

Contact us

For any questions about enrolment or payment, please contact UTS Open Support at  support@open.uts.edu.au  

For any questions about course content, delivery, or progression, please contact the The Faculty of Engineering and IT at FEITshortcourses@uts.edu.au

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Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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