Surface treatment and coatings are key technologies for enhancing many engineering tools or components to meet the desired functional performance, aesthetics, resistance against wear and corrosion as well as high fatigue life, so as to maximise the economic benefits for businesses. With recent advances in materials and processes, surface treatment and coating technologies are playing an increasingly important role in realising new engineering breakthroughs in almost all the industry sectors, including precision engineering, aerospace, marine and offshore, O&G, medtech, microelectronics, civil and construction, home appliances, food and beverage, water and waste treatment. Furthermore, in line with digitalisation towards Industry 4.0, surface technologies are also moving towards the implementation of smart processes, with automation, digitalisation, and data analytics to transform operations for maximum productivity, quality and business outcome.
This programme aims to train participants with the necessary knowledge and practical skills to embark on advanced surface engineering technologies, including surface cleaning and modification, surface manufacturing process, surface characterisation methods, process digitalisation and data analytics concepts, as well as process/product quality control and management.
This programme consists of 10 training modules. By completing this programme successfully, the participants will be awarded with a full Graduate Diploma qualification in Precision Engineering, with specialisation in Advanced Surface Engineering, plus a Certificate of Attendance (COA) in Data Mining for Correlation Analysis (DM-LITE) and a Statement of Attainment (SOA) for Materials Characterisation. The programme is enhanced with a lab-based practise training module and 2 project-based training modules to provide unique opportunities to the participants to learn and apply the knowledge and skills for workplace utilisation and implementation.
Below links are for SGUS for Data-driven Surface Engineering with Process Digitalisation course only:
Join as SGUS Trainee Download SGUS Brochure
* 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.
Participants will be awarded with Statement of Attainments (SOA) certificates and/or Certificates of Attendance (COAs) for each individual module, if they meet the following criteria:
This module introduces participants to the fundamentals of mechanical surface enhancement processes including rolling, peening, burnishing, mechanical ﬁnishing processes (eg. vibratory bowl ﬁnishing, drag ﬁnishing, abrasive ﬂow machining, magneto-rheological ﬁnishing and grinding), and laser surface texturing, marking, peening and annealing for functionalities. Participants will gain a solid understanding of the surface enhancement and ﬁnishing processes, and the issues of surface treatment eﬀect on the work substrates. Participants will also be guided through hands-on project-based sessions on real-world industrial topics using SIMTech equipment and instruments to further enhance their understanding of surface enhancement and ﬁnishing technologies for production implementation.
This module aims to provide participants with the knowledge and practical skills on using advanced coating technologies for corrosion and wear prevention. It covers electrochemical, sol-gel, and plasma-based coating processes together with applications in corrosion and wear prevention. This module is structured with lectures and lab demonstrations conducted in SIMTech’s process-and-testing laboratories. During practical (hands-on) sessions, participants will get to work on a relevant project of choice under the coaching of topic experts to apply the knowledge and skills learnt to address actual industry problems.
This module highlights frequent coating failures and methods of recognising them. Various types of failure will be discussed in detail through examples. Participants will be trained on the general framework of coating failure analysis in order to acquire the skill of identifying the root cause of speciﬁc coating defects. Various approaches to mitigate coating failures, such as wet chemical coatings, paints, electro deposited and vacuum process deposited coatings will also be covered. In-depth learning will be aided by discussions on case studies and laboratory practices which will be customised to the ﬁeld of work or interest of participants.
Corrosion is a multi-disciplinary issue aﬀecting almost all industrial sectors. Losses due to corrosion are enormous and the economic impacts are signiﬁcant, highlighting the dire need for proactive approaches to corrosion prevention and control. However, lack of knowledge and experience in corrosion and corrosion protection in the local technical community remains one of the main obstacles to eﬀective actions in the industry. This module is designed to cater to local industrial needs with basic fundamental knowledge, correct industrial practices and corrosion assessment tests and protocols. It is organised to be interactive with case studies workouts and hands-on sessions.
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.
The manufacturing industry faces a wide range of challenges to maintain a competitive edge in today’s dynamic marketplace. The ability to accurately characterise materials, test components and appropriately analyse the test results for problem-solving can help companies to reduce design cycles and R&D time, solve process problems, as well as improve product quality. This course is designed to provide participants with the core knowledge and skills needed to eﬀectively apply advanced analytical tools and techniques in materials characterisation and testing of materials formulation, process development, failure analysis, and production quality control applications.
This module is designed to provide extensive hands-on practise training on basic skills on common processes, characterisation methods and data analysis encountered in industrial surface engineering. The module consists of 40 sessions (120 hours in total) which will allow participants the opportunity to operate the process equipment and analytical instruments in SIMTech labs to enhance their knowledge learned from the other technical modules.
Under the guidance of the experienced trainers, the participants are expected to do hands-on experiments in these three categories:
Process Skills Training - Experiments will be carried out on the various surface engineering processes with the respective actual equipment, including electrochemical coating, PVD coating, sol-gel functional coating, and mechanical surface ﬁnishing.
Characterisation Methods for Surface Engineering - Hands-on experience with measurements of hardness,roughness, adhesion, chemical composition, microstructure, surface energy, as well as process control parameters.
Data Mining and Data Processing - Participants will be guided to collect data from machines in a model factory, pre-treat/clean and process the data to establish correlations among the process parameters and quality output. The emphasis is on the applications of various data analysis theories and methods to engineering problem-solving.
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.
For more information about the SkillsFuture Credit, please visit its webpage here.