Advanced Smart Machining Technlogy (Pages)

Advanced Smart Machining Technology Brochure to be launched soon! For enquiries, please contact: Knowledge Transfer Office Email: [email protected]

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.

Course Outline Skills Course Reference Number: CRS-N-0051608 The programme engages the Learn-Practise-Implement (LPI) model, 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 Fundamentals of Machine and Smart Machining Metal Cutting Tool Condition Technology Monitoring Adaptive Machining Technology Machining Dynamics for Productivity Improvement Machine Learning in Machining Product Quality Actual hands-on on facilities and manufacturing Assurance & equipment at SIMTech and ARTC venues Surface Integrity Course Fee and Funding • The nett course fee for all Singaporeans and SPRs aged 21 years old and above is S$1,200 (before GST). • Employees fully sponsored by SMEs can claim an additional 20% of the full course fee with the Enhanced Training Support for SMEs Funding scheme, subject to approval by SSG. • Singaporeans aged 40 years and above can claim an additional 20% of the full course fee with the Mid-Career Enhanced Subsidy (MCES). • Singaporeans aged 25 years old and above are eligible for SkillsFuture Credit which can be used to offset course fees (for self-sponsored registrations only). • The full course fee before funding is S$4,000 (before GST). For more information about the funding, please visit SkillsFuture Singapore website at www.ssg.gov.sg

About the Course Leaders 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 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 member’s 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. Prior to 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. When and Where Dates: Please visit our website at www.a-star.edu.sg/SIMTech/KTO for the course schedule. This programme consists of 13 evening sessions. Time: 6.30pm to 9.30pm Venue: Singapore Institute of Manufacturing Technology 2 Fusionopolis Way, Innovis, Level 8, Singapore 138634 Registration Please register online at www.a-star.edu.sg/SIMTech/KTO Contact Us Scan the QR code for more information. For general enquiries, please contact: • Dr Alex Thoe, Deputy Director Industry Development 05/2020 Email: [email protected] For technical information, please contact: • Dr Liu Kui, Senior Scientist Email: [email protected] • Mr Matthew Francis King, Deputy Group Manger Email: [email protected]