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Dimensional Measurements and Metrology

Published by SIMTech, 2020-02-12 21:53:12

Description: Programme Information


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Dimensional Measurements and Metrology (45 hours) Skills Course Reference Number: CRS-Q-0033753-PRE The course aims to introduce fundamental concept and theoretical knowledge of precision dimensional measurement technology and nanoscale measurement technology for applications in the Precision Engineering industry, and as well as other related industrial sectors. Specifically, the contents of the module cover fundamentals of measurement errors, error analysis and uncertainty, precision measurement systems for dimensional measurements (CMM) and surface roughness measurements (stylus proflometry), precision machine tool calibration by laser interferometer, scanning near-field optical microscopy and atomic force microscopy for nanoscale dimensional measurements. Why This Course • Designed specifically based on local industry demand • Highly practical and intensive • Latest knowledge and up-to-date technology • Case studies highlighting industrial application • Expert trainers in the field with industrial experience Who Should Attend This module is designed for • Measurement system designers and engineers • Operators, engineers and managers of quality inspection • Sales engineers and officers of optical components and precision standard components Upon Completion of this Course Electronic certificates (e-Certs) will be issued by SkillsFuture Singapore (SSG) to participants who have attended and attained competency in the Singapore Skills Framework training modules. When & Where Please visit our website at for the course schedule. Training Venue: Singapore Institute of Manufacturing Technology 2 Fusionopolis Way, Innovis, Level 8, Singapore 138634

What You Will Learn • Calculate of uncertainty based on probability distribution of real life cases • Analyse error propagation and uncertainty calculation on dimension measurement of parts • Calculate of thermal uncertainty of manufactured parts • Perform measurement on actual parts using the Coordinate Measuring Machine (CMM) and its case studies • Define surface topography and the types of parameters • Perform measurement of surface topography at different scales and resolution, using different systems and relate to the case studies • Determine errors contributing to machine instrumentation • Understand measurement errors and techniques of laser displacement interferometer and case studies About the Course Leaders Dr Fang Zhongping specialises in optics, machine vision, precision measurements and metrology technology. He has more than 30 years of industrial and R&D experience. Dr Fang is a Senior Scientist with the Precision Measurements Group from Singapore Institute of Manufacturing Technology (SIMTech) since 1995. Formerly, he was the manager of Photonic Systems Group, and the Machine Vision & Sensors Group. Prior to joining SIMTech, he held R&D positions with the National Institute of Metrology (NIM), Beijing, China, the National Institute of Standards and Technology (NIST), USA, Semiconductor Equipment and Optical companies. He graduated from the Tsinghua University, Beijing, China and received his Ph.D. degree jointly from the Tianjin University, China and the University of North Carolina at Charlotte, USA. Ms Liu Yuchan is a Principal Research Engineer from SIMTech. She has more than 20 years of experience in precision measurements of dimensions and tolerances, surface profile and texture, as well as material mechanical properties from macro to nanometer scale. Her R&D interests focus on the development of both contact and non-contact methods for precision measurements and materials characterisation for product design and fabrication, quality control, failure analysis and repair or re-manufacturing to support R&D and industry in the areas of precision engineering, optics, medical devices, semiconductors, aerospace, automotive and more. She has published more than 80 research papers in international journals and conferences as the first author or co-author. Dr Kok Shaw Wei is a Senior Scientist from SIMTech. He was previously with the Precision Measurements Group working in the research area of nanoscale measurement using of optical means for more than 7 years. In year 2011 and 2012, Dr Kok was seconded to Rolls-Royce Singapore to set up a measurement lab for their research unit. During his secondment, he also led a team researching on the automation of fan blade thickness measurement. In 2012 to 2014, he was the Team Lead of Measurement and Characterisation Unit in SIMTech, focusing on research issues faced by the industries. In 2015, he moved to the Mechatronics Group to lead a team focusing in the area of industrial automation. Dr Seck Hon Luen is a Scientist from SIMTech currently working on phase related tomography technology. He received his Bachelor and Ph.D degrees from the Nanyang Technological University. His Ph.D. research topic was in the area of optical coherence tomography. His research interests include coherent and incoherent optical imaging. Course Fee and Funding • The course fee for this module is S$3,000 before SkillsFuture funding & GST. • All Singaporeans and Permanent Residents aged 21 years and above can enjoy SkillsFuture funding of up to 70% of the course fee. • Singaporean or Permanent Resident employees fully sponsored by SMEs can enjoy SkillsFuture funding support of up to 90% of the course fee under the Enhanced Training Support for Small & Medium Enterprises (SMEs) scheme, subject to eligibility criteria. • Singaporeans aged 40 years and above can enjoy SkillsFuture funding of up to 90% of the course fee under the Mid-career Enhanced Subsidy (MCES). • Singaporeans aged 35 years and above with earnings not more than S$2,000 per month can enjoy SkillsFuture funding for up to 95% of the course fee under the Workfare Training Support (WTS) scheme. • 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). For more information about the funding, please visit SkillsFuture Singapore website at Singapore Institute of Manufacturing Technology For enquiries, please contact: 2 Fusionopolis Way, Innovis, #08-04, Singapore 138634 Dr Ng Boon Ping Tel: +65 6590 3193 Email: [email protected] Email: [email protected] | Website: 02/2020

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