Venue: Auditorium, Level 3, Tower Block, SIMTech, 71 Nanyang Drive, Singapore 638075
Organised by the Sustainable Manufacturing Centre, SIMTech and Energy Efficiency National Partnership
In collaboration with Technische University at Braunschweig and the University of New South Wales
Supported by : National Environmental Agency
Energy efficiency has become a key concern in industry due to the increased energy costs and the associated environmental impacts. In Singapore, 40% of the energy usage comes from the industry thus there is a great potential for reduction for manufacturing sector with the appropriate management in energy usage. In this seminar, the National Environmental Agency will share with the audience what are the current initiatives, legislations and incentives schemes that the government has put in place to assist the industry; two overseas experts will also talk about some current methods, techniques and case studies for energy efficiency in manaufacturing and two SIMTtech researchers will present on the related work that is being done in energy efficiency.
2.00pm Welcome Remarks
2.10pm NEA Initiatives for Implementation of Energy Conservation Act and Introduction to Energy Efficiency National Partnership (EENP) by Mr Roland Tan
Abstract : Presentation on the various initiatives and incentive schemes for the industries to help them to be more energy efficient.
2.30pm Energy Efficient Improvement in Manufacturing Companies: Drivers, Methods, and Tools by Prof. Christoph Hermann
Abstract : Besides considering single processes/machines, the perspective in process chains and factories as a whole bears further potentials for improvement. In this context, dynamic interactions of different processes as well as auxiliary equipments (e.g. compressed air generation) need to be taken into account when planning and controlling manufacturing systems. An innovative energy oriented simulation model for planning of manufacturing systems and IT-infrastructure for energy monitoring will be presented. A number of industry cases are used to demonstrate the potentials and applicability of the proposed.
3.10pm Energy and Resource Consumption of Manufacturing Processes - From Metering to Prediction Models by Dr Ian Chan
Abstract :The need to drive down the cost of operation and to reduce the utilities consumed by production plants and manufacturing sites will continue to put pressure on companies to constantly reduce its energy consumption without sacrificing its quality and rate of production. Continuous efficiency monitoring will make transparent the plant efficiency and the respective component losses. These can be used to drive operational adjustments and an efficiency condition-based predictive maintenance program. This talk will highlight the use of energy monitoring systems and intelligent processing algorithms to provide an efficiency measure of production equipment and manufacturing plants.
3.40pm Coffee Break
4.00pm Energy and Resource Consumption of Manufacturing Processes - From Prediction to Eco-Efficiency by Prof. Sami Kara
Abstract : Despite increased attention on energy-efficiency in manufacturing, other resources used as well as the quality performance of manufacturing processes have to be taken into account. An eco-efficiency approach to evaluating energy as well as resource efficiency of manufacturing processes will be presented and discussed. The case of a grinding process is used to demonstrate the potential of the approach since e.g. coolant and dressing have an impact on quality performance and the environment. Based on the analysis, strategies for improving eco-efficiency of manufacturing processes are shown
4.40pm Optimising Machining Processes as an Integrated Energy System for Energy Efficient Manufacturing by Mr Liu Peiling
Abstract : Metal cutting is the biggest energy consumer in manufacturing engineering. The material removal process only consume less than 10-15% of machine tool power because of the long idle time and conservative material removal rate. SIMTech developed and implemented virtual machining system QuickCNC which addresses the trial cut and scrap rate. QuickCNC which has been developed into a intelligent machining system, will optimise CNC machining process to reduce machining time and total energy.
5.10pm Question & Answers
5.30pm End of Seminar
apl. Prof. Dr.-Ing. Christoph Herrmann is Member of the Board and Head of the Product- and Life-Cycle-Management Research Group within the Institute of Machine Tools and Production Technology (IWF) of the TU Braunschweig and Executive Director and Member of the Board of the Automotive Research Centre Niedersachsen (NFF). His research interests comprise the development of models, methods and tools for a total life cycle management. He has been involved in research projects considering e.g. life cycle design, energy and resource efficiency in production, service management as well as information and process management in order to close product and material loops.The followings are some of the industry projects Prof. Herrmann is involved:
-ExtREMe - Energy and Resource Efficiency in Manufacturing
-EnHiPro - Improving energy and auxiliary material efficiency in production
-ProGRess - Design of energy and resource efficient process chains using the example of aluminum die casting
For more details please visit: http://www.iwf.tu-bs.de/En/f+e/pm/AktuelleProjekte.html
Assoc. Prof. Sami Kara is currently the Director of Post-Graduate Research for the Faculty of Engineering. He is the founder and in charge of Life Cycle Engineering Research Group (LCE@UNSW). He is also the technical leader and member of the Scientific Advisory Committee of Cooperative Research Centre for Advance Manufacturing (AMCRC). His research interests include life cycle design, energy and eco-efficiency of product and processes, integrated supply chain and end of life decision making of product for reuse and recycling. Prof. Kara is an elected fellow of the International Academy of Production Engineering (CIRP). The followings are some of the industry projects Prof. Kara is involved:
-Composites: Calculating Their Embodied Energy Study
-Lifecycle Assessment for Single Use Surgical Instruments in Comparison with Multi Use Surgical Instruments
-Energy and water efficiency in Australia manufacturing
For more details please visit: http://www.lceresearch.unsw.edu.au/
Dr Ian Chan earned his Bachelor's Degree in Mechanical Engineering from National University of Singapore, and obtained his Masters and PhD from Department of Aeronautics & Astronautics, Stanford University. He served as technical lead engineer developing structural monitoring solutions at Acellent Technologies, Inc in Sunnyvale California. He is currently a Research Scientist at A*STAR-SIMTech focusing in data analytics to improve energy efficiency for manufacturing operations and equipment. His expertise includes structural monitoring, machine condition monitoring, vibration sensing, signal processing for the main purpose of equipment diagnostics and prognostics.
Mr Liu Peiling has been a CAD/CAM/CNC researcher and developer for 30 years. His research interests include deformable geometry modelling, tool path generation, CNC machining simulation-verification-optimisation, and plastic mould design. He filed two patents and independently developed QuickSeeNC, QuickCNC, QuickPCB, Virtual CNC Training Lab, and VaneAdviser, which have been implemented in Schlumberger, Delphi, VDL, and DelCAM etc. He worked together with EDS UG and Autodesk on QuickMold (MoldWizard) and InventorMold (Inventor Tooling) projects. Now Mr. Liu is working as a consultant of SolidCAM for High Efficiency Machining.
- Energy managers and executives of companies who are directly affected by the Energy Conservation Act;
- Management and engineers of manufacturing companies who are interested in improving energy efficiency in their operations.
To reserve a seat for this non-chargeable seminar, please register online. Seats are on first-come-first-serve basis.
Technicial enquiries : Dr Lee Hui Mien, hmlee@SIMTech.a-star.edu.sg
General enquiries : Samantha Sukiyama Chan, chanskf@SCEI.a-star.edu.sg