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ADVANCED SMART MACHINING TECHNOLOGY* (40 HOURS)

Advanced Smart Machining Technology_Banner
*This is a non-WSQ module.

Introduction

Computer Numerical Control (CNC) machining has been well established and utilized in different industrial sectors such as aerospace, marine, oil & gas, automotive, MedTech, precision engineering (PE), moulds and dies as well as offshore in a certain extent. But it has certain constrains on producing components or products particularly for customisation-based production at fast turn-around time under the high-mix-low-volume business demand. Smart machining has tremendous potential and is becoming one of new generation high value precision manufacturing technologies in line with the advance of Industry 4.0 concepts. Advanced smart machining technologies are essential processes in precision engineering industry.

To remain competitive and profitable, plants and machines will have to be smarter: better connected, more efficient, more flexible, and be safer.

about the programme

This programme is designed to enhance the knowledge and skills of managers, engineers and even operators in precision engineering companies on understanding and using advanced smart machining technologies to fulfill the relevant industrial requirements. 

It is structured to equip the participants with the fundamentals and state-of-the-art on the latest developments in smart machining technology through lectures and lab demonstrations. Remanufacturing will be reviewed as case studies in industrial applications. With the guidance of course mentors during practice sessions, participants will work on a specific relevant project of their own choice using the learned knowledge and skills to address practical problems in their workplace. The knowledge gained during this course benefits both the participants who stand to upgrade their individual expertise and their companies with the opportunity to improve their productivity and competitiveness.

Who Should Attend

The programme is recommended for:
  • Professionals, Mangers, Engineers, Technicians (PMETs) and Researchers in advanced machining technology development/applications and using advanced machining technology for productions from the precision engineering, electronics, aerospace, automotive and other relevant industrial sectors.
  • Production/process directors and mangers handling decision-making of machining-related technology and equipment upgrading.

What our trainees say

ASTAR_Icon_Business-19

Insightful and fun learning course. The future is So Possible.

Mr Hendra,
Participant from Apr 2024 intake

Course Outline

Course Outline

The programme engages the Learn-Practise-Implement™ (LPI™) pedagogy, through which fundamental knowledge and principles taught will be reinforced in practice, as well as during the implementation process using real business scenario and data.

By the end of this course, participants will be able to gain the following knowledge and skills:

  • Overview of Smart Machining Technology
  • Fundamentals of Metal Cutting
  • Machine and Tool Condition Monitoring
  • Adaptive Machining Technology
  • Machining Dynamics for Productivity Improvement
  • Machine Learning in Machining
  • Product Quality Assurance & Surface Integrity

Upon Completion of This Course

UPON COMPLETION OF THIS COURSE

Participants will be awarded with a Certificate of Attendance (COA) by SIMTech and/or ARTC if they meet the following criteria:

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

Note: Trainees will have to bear the full courses fee upon failure to meet either one of the criteria.

Pre-Requisites, Full and Nett Course Fees

Pre-Requisites

  • 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.

Full Course Fee

The full course fee for this course is $4,000 before funding and prevailing GST.

Nett Course Fee

International
Participants		Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ Holders
Employer-sponsored and self-sponsored Singapore Citizens aged 40 years and above
(MCES) ²		SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders) (ETSS) ¹
$4,360$1,308$508
$508
All fees are inclusive of GST 9%.
Please note that fees and funding amount are subject to change.

LONG TERM VISIT PASS PLUS (LTVP+) HOLDERS

  • The LTVP+ scheme applies to lawful foreign spouses of Singapore Citizens with (i) at least one Singapore Citizen child or are expecting one from the marriage, or at least three years of marriage, and (ii) where the Singapore Citizen sponsor is able to support the family.
  •  All LTVP+ holders can be identified with their green visit pass cards, with the word ‘PLUS’ printed on the back of the card.

ENHANCED TRAINING SUPPORT FOR SMALL & MEDIUM ENTERPRISE (SMEs) SCHEME (ETSS)

SMEs that meet all of the following eligibility criteria:

  • Registered or incorporated in Singapore
  • Employment size of not more than 200 or with annual sales turnover of not more than $100 million

SME-sponsored Trainees:

  • Must be Singapore Citizens or Singapore Permanent Residents.
  • Courses have to be fully paid for by the employer.
  • Trainee is not a full-time national serviceman. 

Further Info: This scheme is intended for all organisations, including non-business entities not registered with ACRA e.g. VWOs, societies, etc. Only ministries, statutory boards, and other government agencies are NOT eligible under Enhanced Training Support for SMEs Scheme. Sole proprietorships which meet all of the above criteria are also eligible.

SKILLSFUTURE MID-CAREER ENHANCED SUBSIDY (MCES)

SkillsFuture Credit

For more information on the SkillsFuture funding schemes you are eligible for, please visit www.skillsfuture.gov.sg

How course fees are calculated

TYPECATEGORY OF INDIVIDUALS
International Participants Singapore Citizens aged 39 years and below, Singapore Permanent Residents and LTVP+ HoldersEmployer-sponsored and self-sponsored Singapore Citizens aged 40 years and above SME-sponsored local employees (i.e Singapore Citizens, Singapore Permanent Residents and LTVP+ Holders)
FUNDING SOURCE
Not applicable for SkillsFuture Funding SkillsFuture Funding (Baseline)  SkillsFuture Mid-career Enhanced Subsidy (MCES) ²SkillsFuture Enhanced Training Support for SMEs (ETSS) ¹
Full Course Fee $4,000$4,000$4,000 $4,000 
SkillsFuture FundingNot Applicable  ($2,800)($3,600)($3,600)
Nett Course Fee$4,000$1,200$400$400
GST 9%
$360$108*$108*$108*
Total Nett Course Fee Payable to Training Provider$4,360$1,308$508$508
* Based on 30% of Full Course Fee

About the trainers

Dr Liu Kui

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Dr Liu Kui is a Senior Scientist with A*STAR SIMTech and an adjunct Associate Professor at the National University of Singapore (NUS). He received his BSc and MSc degrees from the Nanjing University of Aeronautics and Astronautics, China, and his PhD degree in Mechanical Engineering from NUS in 2002. Dr Liu is an active researcher with extensive experience in both academic and industrial communities. He has led more than 20 R&D projects sponsored by NMCs and SMEs to develop technical solutions related to advance machining technologies. His research interests include ultra-precision and precision machining, micro/nano machining, ductile machining of brittle materials, high speed machining, surface finishing and modification. He has published 2 books, 6 book chapters, and over 170 international journal and conference papers. He also filed 4 patents and 18 technical disclosures, of which some technologies have been transferred and licensed to local companies.

Mr Matthew Francis King

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Mr Matthew Francis King is the Deputy Group Manager of the Advanced Remanufacturing Group and Senior Technical Lead for the Machining Technologies Team with A*STAR ARTC. He manages a team of experienced engineers and scientists developing solutions in a variety of areas that include Adaptive Machining, Intelligent Machining and Lean Manufacturing. These solutions are being implemented in members’ facilities and the ARTC’s Model Factory. Mr Matthew obtained his Bachelor of Engineering in Product Design and Manufacturing at the Loughborough University, United Kingdom. Before working at ARTC, he worked for 18 years with TTL, a company that is world renowned for its Adaptive Machining technology. At TTL, Mr Matthew designed, developed, implemented and supported numerous machining systems across the world for companies like Rolls Royce, IHI, GE and MTU. The machining systems involved developing technologies that, as well as Adaptive Machining, included Closed-Loop Process Control, Machine Tool Management and Automated Cell Management.

Contact Us

  • For technical enquiries, please contact:

Dr LIU Kui,
Email: kliu@simtech.a-star.edu.sg

  • For general enquiries, please contact:

Dr Alex THOE,
Email: tbthoe@SIMTech.a-star.edu.sg

Registration

Sign up now
  • Please register for this course through our online form: Course Registration Form for Public Classes.
  • For the first question, please select "Modular Programmes (Standalone Modules)".
  • Applicants will be placed on our waiting list if the course does not have an upcoming scheduled intake.
  • When the next intake is confirmed, a confirmation email with payment information will be sent to applicants to finalise their participation.

Schedule

Module 		Skills Course Reference Number Next Intake(s)'s Training Period
(Click on the dates to view its schedules)
Registration Status
  • Advanced Smart Machining Technology (40 hours)
TGS-2020504013
The next intake's schedule is still in the planning stage.

Note: SIMTech and ARTC reserve the right to change the class/schedule/course fee or any details about the course without prior notice to the participants.

Announcement:

  • From 1 Oct 2023, attendance-taking for SkillsFuture Singapore (SSG)'s funded courses must be done digitally via the Singpass App. More information may be viewed here.
Sessions
FD: Full day
AM: Morning
PM: Afternoon
EVE: Evening

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