KEYNOTE SPEAKERS

Fellow of IEEE, IISE, ASME, HKIE, IET and CILT
Prof. George Q. Huang, The Hong Kong Polytechnic University, China

George Q. Huang joined Department of Industrial and Systems Engineering at The Hong Kong Polytechnic University as Chair Professor of Smart Manufacturing and Director of PolyU Research Institute of Advanced Manufacturing (RIAM). George graduated from Southeast University (China) with BEng and Cardiff University (UK) with PhD degrees respectively. George has been working on smart manufacturing ever since his PhD study and continued and expanded into smart logistics and smart construction with substantial research grants from governments and industries. He published extensively in the related fields and his works have been widely cited with the research community. He served as senior / department / area / regional / associate editors and on editorial boards of more than a dozen of reputable journals. George is Chartered Engineer (CEng), Fellow of IEEE, ASME, IISE, IET, CILT and HKIE.

Speech Title: In Search of Breakthroughs for High-Performance Cyber-Physical Smart Manufacturing

Abstract: The talk is about our search for an Industry 4.0 intelligent factory following a formal computer architecture and operating system. By so doing, computer hardware and software techniques can be adapted for high-performance factory production management. The breakthrough is achieved through a trilogy of innovations: (1) digitizing a factory with smart IoT devices into a “factory computer” (iFactory); (2) innovating iFactory visibility and traceability (VT) to enable “look around” techniques just as used in the “Out of Order Execution (OoOE)” algorithm by CPUs (Central Processing Units); and (3) developing novel models for iFactory shopfloor operations management. The iFactory architecture provides new opportunities to explore and study factory uncertainties through cyber-physical visibility and spatial-temporal traceability, and to develop brand-new data-driven decision models for factory operations planning, scheduling and execution. iFactory demonstrates a new approach to implement Industry 4.0 smart manufacturing systems for high performance, responsiveness and resilience.

 

Prof. Richard (Chunhui) Yang, Western Sydney University, Australia

Prof Yang is an internationally recognized research leader on fields of research include Advanced Manufacturing, Additive Manufacturing (3D printing) of metals, polymers and composites, Advanced Engineering Materials & Structures, Circular Manufacturing & Circular Economy, Defence Technology, Industry 4.0, Machine Condition Monitoring (MCM) & Structural Health Monitoring (SHM), Metal Forming, Metal Surface Treatment, etc. He has been awarded over AUD$16m in competitive research grants, including 13 ARC grants (1 ARC Training Centre, 3 DPs, 3 Linkages, and 6 LIEFs), 2 CSIRO/NSF Convergence Accelerator on recycled plastic waste as well as more than 20 from government and/or industry. As for scientific publication, he has published more than 300 high-quality technical publications in top scientific journals, books, and conferences as a major contributor in his relevant fields of research across Mechanical, Mechatronic, Manufacturing, Materials, Aerospace, Civil, Defence, etc. As for external service, he is serving as assessor for Australian Research Council (ARC), editor board member, conference committee member, reviewer of international journals and conferences, examiner for Master and PhD thesis, etc. He is Editor-in-Chief of 2 scientific journals, Associate Editor of 2, and on the Editorial Board of 5. He has been on the ANSHM Executive and the Editor of ANSHM Newsletter since 2016.

Speech Title:  Study on mechanical behaviours and surface roughness of 3D printed PLA using fused filament fabrication

Abstract: Fused Filament Fabrication (FFF) is one of the innovative 3D printing technologies for fabricating complex components and products. Material properties and suface roughness of 3D-printed components mostly depend on intricate process parameters of 3D printing. This study experimentally investigates the effects of four key process parameters, including layer thickness, raster angle, feed rate, and nozzle temperature, on the tensile properties and surface roughness of FFF printed Polylactic Acid (PLA), and their failure mechanisms. The experimental results demonstrate that tensile strength improves up to 10 and 7% with increasing nozzle temperature (200 °C to 220 °C) and low feed rate (60 mm/sec to 40 mm/sec) during the 3D printing process. The tensile strength increases up to 12% with decreasing layer thickness (0.4 mm to 0.2 mm) and 40% with decreasing raster angle (90° to 0°).  The surface roughness of the FFF printed PLA samples is found to be influenced by those key FFF process parameters too and an improvement in surface roughness is observed with the increase of nozzle temperature and reduction on feed rate.