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SGUS for Additive Manufacturing

  • This SGUS course is completed over a 9-month period.
  • The nett course fee payable by each SC or SPR trainee is $750 (inclusive of GST).
  • The next intake for the SGUS for Additive Manufacturing course is commencing in early 2022!
     
SGUS_Additive Manufacturing

What is the SGUnited Skills (SGUS) Programme?

The SGUnited Skills (SGUS) Programme which opens for unemployed or retrenched Singaporeans and Permanent Residents is a full-time Train & Place programme of 6 to 9-month duration. Trainees will also receive a training allowance of $1,200 per month for the duration of the programme to cover basic subsistence expenses.

Applications for the SGUS courses are ongoing and each new intake may only commence upon receiving sufficient registrations to form a class!


Important information:
  • In order to provide opportunities for as many Singapore Citizens and Permanent Residents as possible, individuals can only enrol in a SGUnited Skills Programme ONCE.
  • All information published at SIMTech's website, social medias, webinars or collateral about its courses is correct at time of publication and subject to change.



Skills Course Reference: TGS-2020508863

Programme Introduction

Additive Manufacturing (AM) is identified as the future manufacturing for operations that require short time-to-market builds, unique design requirements and low volume-high mix production runs. With the growing adoption of AM, there is a need for a more skilled talent pool in the market.

This programme aims to train participants with a holistic understanding of the AM concept and fundamentals, data mining, IIot-enabled monitoring, and AM practical skills in line with digitalisation towards Industry 4.0 for all major industry sectors. It will cover principles, methodologies, design for manufacturing, industry standards, quality assurance, industry case studies and usage of specific 3D AM technologies and systems, along with an understanding of the necessary post-processing of AM products, which are critical in the manufacturing of customised and complex 3D parts.




Brochure and Registration




Webinars

Watch our series of SGUS Course Briefings to understand more about each specialisation.

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Testimonial

Additive Manufacturing

"The lessons are well structured and delivered with hands-on lab practice to enhance our understanding. We have regular class tests with a lot of guidance the minute we show that we are unsure. I have only positives for my learning journey.

Thank you, SGUS! Thank you, SIMTech!"


Mr Steven Lim,
Trainee from SGUS for Additive Manufacturing




Benefits for Trainees

Benefits

  • Get paid while you upgrade and upskill yourself with a training allowance of $1,200* per month during the training period.

  • All SGUS specialised courses are highly subsidised at a nett course fee of $500 (6-month course) or $750 (9-month course), and self-sponsored Singaporean trainees can offset the fee with their SkillsFuture Credit.

  • Attain certificates when you complete the individual modules.

  • Trainees may exit the programme whenever a job opportunity arises, as the SGUS programme is conducted in a modular format.

  • Learn and journey with our SIMTech scientists who will provide hands-on training with state-of-the-art equipment & laboratories.

  • Work on an industry project with your potential employer even before getting hired.

  • Boost your employability for future job opportunities with real-world industrial experiences.

  • More than 5,000 PMETs have attended or completed our courses.
  • Embark on our Learn-Practise-Implement™ (LPI™) pedagogy when you journey with us.

  • Only Singaporeans and Singapore Permanent Residents are eligible to apply for the SGUS Programme.

* Trainees who are concurrently receiving COVID-19 Support Grant (CSG) or Self-Employed Person Income Relief Scheme (SIRS) payouts will receive a lower training allowance as they are already receiving income relief.




Brochure and Registration

Certifications

There are 10 modules for completion under the SGUS for Additive Manufacturing course.
 

Technical Skills Modules
("LEARN & PRACTISE")

Certifications

  • Smart Additive Manufacturing System
Participants will be awarded with the Graduate Diploma in Precision Engineering with specialisation in Additive Manufacturing after successfully completing all five required modules.

Alternatively, participants will be awarded a WSQ Statement of Attainment certificate (SOA) for passing each individual module.
  • Powder-bed Additive Manufacturing Processes for Complex Functional Metallic Components
  • Review High Speed Additive Manufacturing Processes for Metallic Components
  • Polymer-based Additive Manufacturing Processes for Flexible Mass Customisation
  • Plan and Manage Project for Implementation
  • Data Mining for Correlation Analysis (DM-LITE)
Participants will be awarded a SIMTech Certificate of Attendance (COA) for passing each individual module.
  • IIoT-enabled Equipment Conditional Monitoring and Alert

Practical Modules
("IMPLEMENT")

Certifications

  • Lab-based Practise Training
Participants will be awarded a SIMTech Certificate of Attendance (COA) for passing each individual module.
  • Project-based Training for Implementation (M1)
  • Project-based Training for Implementation (M2)

Participants will be awarded with a certificate for each individual module, if they meet the following criteria:

  • Achieve at least 75% course attendance;
  • Take all assessments; and
  • Pass the course.

List of Modules

Technical Skills Modules ("LEARN & PRACTISE")

Smart Additive Manufacturing System

3D additive manufacturing (AM) is a disruptive technology that is fundamentally distinct from conventional  manufacturing technologies. This module provides the introduction and overview to 3D AM, as well as unequivocal advantages of 3D AM to manufacture complex and customised functional parts. It offers participants the opportunity to appreciate the uniqueness of 3D AM technology, the importance of digital manufacturing and the understanding of necessary design requirements, topology optimisation and quality assurance for additive manufacturing. Participants will also integrate AM and implement procedures and operations according to industry standards and WSH requirements in the practical hands-on sessions.

Powder-bed Additive Manufacturing Processes for Complex Functional Metallic Components

This module covers metal powder fabrication as feedstock for powder-bed 3D AM systems and the powder characteristics critical for AM processing. Also addressed in the module are the key powder-bed metal AM processes, for example, Selective Laser Melting (SLM), Electron Beam Melting (EBM) and metal binder jetting technologies, to manufacture complex functional metallic parts. The industrial applications and relevant post-processing of such AM metallic components will also be shared with industrial case studies. In-depth learning will be aided by practical laboratory sessions and project-based discussions on key technologies.

Review High Speed Additive Manufacturing Processes for Metallic Components

This module will bring participants to delve into electron beam-based and laser-based AM technologies which enable the manufacturing of large format metallic components. They include wire-fed, powder-blown and hybrid processes that allow high-speed manufacturing. Participants will learn materials, metallurgy, quality assurance and certification of additive manufactured metallic components. Participants will also learn the design for high-speed additive manufacturing and tool-path planning and generation. The industrial applications and relevant post-processing of such metallic components will also be shared with industrial and project-based case studies.

Polymer-based Additive Manufacturing Processes for Flexible Mass Customisation

Products from polymeric 3D AM systems are known for their accuracy and excellent surface finish. Participants will be introduced to the photopolymerization process in liquid-based polymeric 3D AM technologies and solid-based polymeric 3D AM technologies which use precursor materials such as polymeric powder or filaments. Liquid-based polymeric 3D AM technologies such as stereolithography and polymer jetting will be covered. Also shared in this module are the Selective Laser Sintering (SLS), powder-bed inkjet 3D printing and Fused Filament Fabrication (FFF) technologies. Design guidelines, quality assurance, industry standards and file preparation of specific polymer additive manufacturing systems are also covered in the module. Furthermore, the industrial applications and relevant post-processing of such polymeric components will also be discussed with industrial case studies.

Plan and Manage Project for Implementation

This module covers the methods for planning, executing and managing projects for developing technology, products and processes. Participants will also be taught on applications of project planning tools and skills for managing uncertainties and disruptions in project activities. Human, financial and business factors that influence the conduct of projects will be considered and explored.

Data Mining for Correlation Analysis (DM-LITE)

This module covers a set of methodologies of conducting problem-solving using the data mining approach, which includes data collection, pre-process data from multiple sources, cleaning of the data, and finally using data mining techniques to analyse the data and find out hidden correlations among various parameters involved in processes. Through extensive hands-on and discussion of successful case studies, the course will equip participants with the ability to use data mining techniques to solve actual industrial problems.

IIoT-enabled Equipment Condition Monitoring and Alert (IECO

Machine breakdowns and unplanned downtime affects equipment availability and interrupts the delivery of services. Monitoring equipment’s condition and alerting its impending failure can help to minimise disruptions and costly repairs. This course provides participants with training in implementing an equipment condition and alert system using Industrial Internet-of-Things (IIoT) devices for remote monitoring of machine conditions. This course is specifically developed for local industry needs and taught by industry practitioners in the field. Case studies are discussed to highlight the applications in industry.

Practical Modules ("Implement")

Lab-based Practise Training

This module is designed to provide extensive hands-on practise training on basic skills of common processes, characterisation methods and data analysis encountered in additive manufacturing. The module consists of 40 sessions (120 hours in total) which will offer participants the opportunity to learn and operate the process equipment and analytical instruments in SIMTech’s labs to reinforce their knowledge learned from the technical skill modules.

Under the guidance of the experienced trainers, the participants are expected to do hands-on work in these three categories:

Additive Manufacturing Process Skills Training – Participants will have hands-on experience on key additive manufacturing processes and equipment, which includes extrusion-based systems, powder-bed metal and polymer systems, robotic powder-blown systems and liquid resin-based polymer systems.

Characterisation Methods and Analyses - Participants will have hands-on experience on characterisation tools that are used to analyse the feedstock (e.g. powder, filament and resin) and the print parts’ quality (in terms of density, mechanical properties, surface roughness, microstructures, dimensional measurement etc).

Data Processing and Analysis - Participants will be guided to collect data from AM machines in a model factory and process the data to establish correlations with the relevant printing process parameters and print quality output.

Project-based Training for Implementation (M1); and

Project-based Training for Implementation (M2)

The project-based modules provide opportunities for the participants to embark on an industry project either in-house at SIMTech or work with a participating company.




Pre-Requisites and Nett Course Fee

Pre-Requisites, Full and Nett Course Fees

Pre-Requisites

  • Only Singaporeans and Singapore Permanent Residents aged above 21 years old who are unemployed or retrenched and can commit to the SGUS courses on a full-time basis are eligible to apply for the SGUS programme.

    In addition, the target trainees for the SGUS courses will exclude the following:

    a) Graduated or graduating in Calendar Years (CY) 2019 to 2021 (both years inclusive) from ITE, Polytechnics, Universities, and other educational institutions. This includes graduates from private universities as well as overseas institutions; and

    b) Graduated from the educational institutions mentioned in (a) and completed or completing their National Service (NS) in Calendar Years 2019 to 2021 (both years inclusive) and are entering the labour force.;

  • Applicants should possess a degree in any discipline or a diploma with a minimum of 3 years of related working experience.

  • Applicants who do not have the required academic qualifications are still welcome to apply, but shortlisted candidates may be required to attend an interview for special approval.

  • Proficiency in written and spoken English.



Course Fee

Nett Fee
payable by individuals
 $750*
* All fees are inclusive of prevailing GST.
 ✓ SkillsFuture Credit Eligible (for self-sponsored registrations only)
 

For more information about the SkillsFuture Credit, please visit its webpage here.

Additional Information:
  • Trainees have to pay the full amount of nett fees upfront after they are enrolled to the programme.
  • Trainees who find full-time employment and apply for early exit from the programme can receive pro-rated refund of their course fees.



Brochure and Registration




Contact Us




Schedules

SGUS Specialisation Skills Course Reference Number
New Cohort's Expected
Commencement Period
  • Additive Manufacturing 
TGS-2020508863
Q1 Yr2022
  • Advanced Instrumentation and Quality Control through Digitalisation
TGS-2021009131Q1 Yr2021
  • Advanced Welding Technologies Robotised Processes
TGS-2020508868
Q1 Yr2022
  • Data-driven Surface Engineering with Process Digitalisation
TGS-2020508867Q1 Yr2022
  • Digital Transformation and Innovation™
TGS-202050886518 Jan 2022
  • Industrial Automation
TGS-2020508864
Q1 Yr2022
  • MedTech Product Manufacturing
TGS-2021008931
7 Feb 2022
  •  Operation Management and Innovation (OMI)
TGS-2020508866 Q1 Yr2022 
  • Smart Machining and Digitalisation
TGS-2020508869Q1 Yr2022

Important notes:

  • Each new cohort may only commence when there are a minimum number of trainees to form a class.
  • SIMTech reserves the right to make changes to the programme without prior notice to the trainees.
  • To enroll as a SIMTech's SGUS trainee, please submit your online registration here.



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SGUS Programme FAQs