LMS Engineering Innovation and Sunny Instruments Singapore Pte Ltd
Machine vibration is one of the most critical issue for developing precision machinery and equipment as it is the major cause of positioning error during high speed operation. In the past, equivalent static loads were used to design for dynamic loads due to computational complexities of dynamic analysis. With the availability of abundant computer resources and measuring technology, dynamic analysis and diagnosis are more widely used nowadays. It is now possible to predict machine vibration performance before or after the physical machine is built. This workshop will give instructions on how to compute and measure the structural response under dynamic loads and simulated conditions.
0900 Welcome Address by Dr Yang Guilin, Group Manager
0910 Machine Vibration and Reduction Techniques
1030 Tea Break
1045 Finite Element Modelling of Structural Vibration
1330 Modal Testing and Analysis by Mr Bart K L Verrecas, LMS
1500 Tea Break
1520 CASE Study by Dr Song Yunfeng, Sunny Instruments
1600 Model Correlation, Model Correction and Case Studies
Mechanical engineers, electrical engineers and engineering managers involved in the design of machinery and equipment will find this seminar very useful. The seminar will also be very relevant to those who have a direct interest in machine simulation.
About the Presenters
Dr Lin Wen-Jong is a Research Scientist with SIMTech. He received his MSc (Engineering) degree in Advanced Manufacturing Systems and Technology from Liverpool University (UK) in 1991; PhD degree in Manufacturing Technology at the Imperial College, University of London in 1997; postgraduate diploma in Structure Engineering and Foundation at University of Westminster (UK) in 1999, and an MBA from Nanyang Technological University in 2003. Dr Lin is a member of the Institute of Mechanical Engineering (IMech) and a Chartered Engineer (CEng) of Engineering Council in UK. His field of research interests includes mechanical design, FEM, neural network, fuzzy logical, motion control, real-time control and robotics with physical background and experience in mechanical/software control engineering, and a wide range of automation projects in food industry, medical equipment, aerospace overhaul and precision machines.
Mr Lim Chee Wang is a Research Engineer with SIMTech. He received his BEng in Mechanical Engineering from UMIST in 1998 and MEng from NUS in 2001. His Masters research project is in Motion Planning of Mobile Robot. He has led several in-house and collaboration projects in the area of dynamic-based force control of mobile manipulator. Chee Wang has led a team in developing an omni-directional powered caster wheel mobile robot. He is currently pursing an Engineering Doctorate from Cranfield University sponsored by SIMTech. His Doctorate research topic is Dynamic Modelling of Precision Machine Interfaces.
Dr Song Yunfeng graduated from Tianjin University with BEng and MEng degrees in precision instruments and received his PhD in Tsinghua University. He has 20 years experience on research and development of nano-optical instruments and sensors, such as hard disk and optical disk driver test, BGA, wafer and ultrasonic vibration test, micro optical pickup unit assembly and test, OPU factory set-up, quality control and failure analysis etc. He is now sales director in Sunny Instruments Singapore Pte Ltd. His current research areas of interest area in nano optical metrology and instrumentation.
Mr Bart K L Verrecas graduated from Katholic University of Leuven, Leuven, Belgium with MSc with high distinctions in 2005. He has more than 5 years of experience and skills in modal acquisition and analysis, acoustic measurement techniques, vibration testing, root-cause analysis, durability measurements and processing. He is working as technical expert and adviser in LMS.
Registration fee: S$107 (inclusive 7% GST)
To book a seat, please register online.
Closing date for registration: 30 October 2009
For general enquiries, please contact Samantha Chan, Email : firstname.lastname@example.org