Smart Machining and Quality Control in Remanufacturing

Date(s): To be advised	Register: Email registration form to training@aais.org.sg
Time: 9am – 5pm (UTC +8)	Closing Date: One week before course date.
Venue: Advanced Remanufacturing and Technology Centre (ARTC) 3 CleanTech Loop, #01/01 CleanTech Two, Singapore 637143	Fees: International Participant: S$1,512/pax w/GST Singapore Citizen (39yo or younger) or SPR: S$453.60/pax w/GST Singapore Citizen (40yo or older): S$170.98/pax w/GST Enhanced Training Support for SMEs: S$170.98/pax w/GST Fees reflected are inclusive of 8% GST (in 2023).
About the Course:
With a greater drive towards a Green Economy and the importance of sustainability, remanufacturing is becoming a larger and larger industry. The rise in the Remanufacturing industry brings new challenges to machining with technologies helping to deal with the high mix low volume and almost hyper-personalisation requirements. Computer Numerical Control (CNC) machining has been well established and utilised in different industrial sectors such as aerospace, marine, oil & gas, automotive, MedTech, precision engineering (PE), moulds and dies. Smart machining techniques, which can be applied to both Remanufacturing and standard components, have tremendous potential and are becoming one of a new generation of high-value precision manufacturing technologies in line with the advance of Industry 4.0 concepts. To enter the remanufacturing market or remain competitive and profitable, plants and machines will have to be smarter: better connected, more efficient, more flexible, and be safer.
Who Should Attend?
The programme is recommended for managers, engineers, researchers, technicians and machinists who are in the areas of manufacturing productions for various industrial sectors. 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.
Course Content:
This course aims to enhance the knowledge and skills of the participant in the fundamentals and state-of-the-art on the latest developments in smart machining technology through lectures and lab demonstrations. Remanufacturing will be introduced as a developing industry and case studies will be discussed throughout the course to enhance the participants’ appreciation of the different industrial applications. 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. By the end of this course, participants will be able to gain the following knowledge and skills: • Cycles of the circular economy • Remanufacturing lifecycle • Flow of the remanufacturing process • Benefits of remanufacturing • Machined surface characteristics and defects • Unit events • Mechanisms and their effect of surface integrity • Tool wear mechanisms • Tool condition sensing • Signal acquisition and signal processing • Machine learning techniques • Feature extraction • Classification versus regression • Degrees of adaptive machining • Probing on CNC machines • Machine-to-machine communication • Expression-based CAD modelling • Automation of the adaptive machining process • Closed-loop system architecture • Process capability index and process control charts. Upon Completion Participants will be awarded with a Certificate of Attendance (COA) by ARTC if they meet the following criteria: – Achieve at least 75% course attendance; – Take all assessments; and – Pass the course.
About the Trainer: Mr Matthew Fancis 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.
*Note: AAIS reserves the right to adjust the course pricing and to re-schedule or cancel any course due to unforeseen circumstances, course commencement is subject to minimum class size requirements.