2022 2nd International Conference on Mechanical, Modeling and Materials Engineering (I3ME 2022)
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Keynote Speakers

Prof. Li Guo
Hunan University,China

Title: Research on acoustic emission intelligent monitoring in grinding engineering ceramics.

Abstract: Acoustic emission (AE) signal analysis by use of short time Fourier transform is used to monitor the grinding heat by ues of laser. The relationship between the acoustic emission signal of high speed grinding of engineering ceramics and grinding force, grinding temperature are studied. High precision AE monitoring of diamond grinding wheel wear in engineering ceramics grinding were carried out. The variance of wavelet decomposition coefficient of AE signal in alumina grinding is used as the input feature of support vector machine. The empirical mode decomposition (EMD) of grinding AE signal is used to extract the effective value, variance and energy coefficient of its intrinsic mode function as the input features of least squares support vector machine. The optimized BP neural network is used to monitor the grinding surface roughness with high precision by use of AE. The research solved the problem of acoustic emission monitoring in engineering ceramics grinding!

Experience:National Education Ministry science and technology project, science and technology award evaluation expert, Hunan Province Science and Technology award evaluation expert, Hunan Province Natural Science Foundation evaluation expert, National High Efficiency Grinding Engineering Technology Research Center researcher, master tutor, National 985 high technology research (automotive advanced design and manufacturing innovation team) academic backbone. Academic backbone of hunan university, hunan backup academic leaders, senior member of Chinese mechanical engineering society, the state Ministry of Science and Technology project 863 judges, national natural science foundation of evaluation experts, the Chinese Ministry of Science and Technology of China science and technology information science and technology periodical evaluation experts, national Ministry of Education of science and technology projects, science and technology awards evaluation experts, hunan science and technology awards evaluation experts, Evaluation expert of Hunan Provincial Natural Science Foundation, Researcher of National High Efficiency Grinding Engineering Technology Research Center, master tutor, academic backbone of National 985 High Technology Research (automotive advanced design and manufacturing innovation team). Expert in online review of Chinese scientific and technological papers, editorial board member of Precision Manufacturing and Automation, a national core journal of Chinese science and technology. Special reviewer of International Journal of Advanced Manufacturing Technology, reviewer of national first-class scientific and technological journals Journal of Vibration Engineering and Journal of Hunan University. Special reviewer of Journal of Hunan University of Arts and Sciences, a first-class science and technology journal in Hunan Province. Director of International Manufacturing Science Research Institute, UK, and Adjunct Professor of University of Sheffield, UK.

Prof. Ming Liu
Fuzhou University, China

Experience:Ming Liu received his BS and MS in Harbin Institute of Technology, achieved his PhD in University of Kentucky in December, 2012, and served as a post-doctorate researcher at the Center of Materials, Mines Paris Tech France in 2013, and at Washington State University in 2014. He joined School of Mechanical Engineering and Automation, Fuzhou University in 2015, and became Professor and Doctor Supervisor thanks to Fujian Provincial Minjiang Scholar Program. He has been a member of China National Steel Standardization Technical Committee since 2021, and serves as an editorial board member of Nanotechnology and Precision Engineering, and young editorial board member of Journal of Chongqing University of Technology (Natural Science). His research focus in on characterization of surface micromechanics by instrumented indentation and scratch methods.


Prof. Yajun Liu
South China University of Technology,China

Title: The Simulation and Optimization of the Aerodynamic Characteristics of High Speed Elevator Based On Remeshing Method

Abstract: With the increasing heights of the Bluidings, We need more and more higher Speed elevators. As the same time, we find the bigger noise and Aerodynamic resistance. We often using shroud to reduce Aerodynamic resistance. In this presentation, we will introduce remeshing method to simulation and optimization of the aerodynamic characteristics of high speed elevator. After actual testing in the field,we find the new design shroud can reduce noise and resistance of the elevators obviously.  

Experience:Prof. Yajun Liu was born on September 20, 1974 in Jiangxi, China. Native speaker of Chinese, fluent in English. His Education and Academic Research Experiences is as follows:

December, 2016- Now Professor in South China University of Technology School of Mechanical and Automotive Engineering.

December, 2009- December, 2010. Visiting Professor in Fluid Power Research Center (FPRC) Purdue University at West Lafayette, USA.

Feb, 2005 – July, 2016. Post-doctoral Research Fellow, Tokheim JV company in China.

June, 2002 Ph. D. in Mechanical Engineering. South China University of Technology, Guangzhou,China.

His research interests include Digital signal processing technology and its application in mechanical systems (such as hydraulic System for Energy Saving.); Intelligence control and Manufacturing

Engineering. Moreover, Prof. Yajun Liu has published more than 150+ papers in Journals and proceedings of international conferences. 35 +patents on Mechanical System design and manufacturing.


Prof. Mohd Nasir Tamin,
Universiti  Teknologi Malaysia (UTM),Malaysia

Title: Multifractal Fatigue Crack Growth Model for Engineering Structures

Abstract: Fatigue cracks have been observed in numerous load-bearing structures such as aircraft wing spars, tubular joints of offshore structures, welded ship hull structures, and chemical processing vessels. Structural integrity and safe operation of these structures require in-situ data on the fatigue crack growth rates up to the critical crack length before the catastrophic fracture of the material. The fracture mechanics approach quantifies the corresponding crack tip driving force, ∆KI in terms of the operating stress range, crack length and crack geometry factor. This enables the fatigue crack growth rate behavior of the material to be established using standard test specimen geometry where the crack geometry factor is available. The absence of the muchneeded crack geometry factor of numerous advanced engineering structures renders the fracture mechanics equation inapplicable for calculating the ∆KI. However, a propagating crack inherits the self-similar and multi-scale fractal features along the crack wake and crack surfaces. The fractality of the fatigue crack along the crack length could be quantified in terms of their fractal dimensions, dF. In this respect, a phenomenological model is proposed to correlate the fractal dimensions with the fatigue crack growth rates, without requiring the crack geometry factor.

Experience:Prof. Mohd Nasir Tamin earned his doctoral degree in Mechanical Engineering and Applied Mechanics from the University of Rhode Island, USA in 1997. He has been with the School of Mechanical Engineering, Universiti Teknologi Malaysia since 1984. Prof. Tamin’s research team activities focus on the development of constitutive and damage models for ductile metals and fibrous composite laminates. He leads his research team on few successful research collaborations with industries including Intel Technology on the development of a validated methodology for reliability prediction of microelectronic BGA packages and through-silicon via (TSV) interconnects, with Kiswire (Korea) for fatigue life improvement of steel wire ropes, and with Airbus and Aerospace Malaysia Innovation Center (AMIC) for damage detection in FRP composite laminates using the digital image correlation technique (DIC). Prof. Nasir has been invited as a visiting researcher at Sophia University, Tokyo (Japan), a visiting professor at the Institut Supérieur de l’Automobile et des Transport, (ISAT), Nevers, France, Dongguk University, Seoul, Korea, and as a visiting research professor at the University of Southampton (Malaysia Campus). He is keen in promoting the university-industry collaboration, and the academic and research collaboration among colleagues across the globe.