SGUS for Additive Manufacturing

• 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

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.
  

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.

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.

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.

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.

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.

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.

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.

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.

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

• 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

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

• 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