Actual Shear Rate Prediction Associated with Wall Slip Phenomenon Using Radial Basis Function Network

Authors

  • Chin Ren Jie Universiti Tunku Abdul Rahman (UTAR)
  • Lai Sai Hin Associate Professor, Department of Civil Engineering, Faculty of Engineering, Universiti Malaya
  • Lee Foo Wei Assistant Professor, Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman
  • Kwong Kok Zee Assistant Professor, Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman

DOI:

https://doi.org/10.54552/v84i1.206

Keywords:

Actual shear rate, Radial basis function network, Rheology, Suspension, Wall Slip

Abstract

Wall slip can be defined as a phenomenon where the particles in a suspension moving away from the wall boundary, leaving a thin liquid-rich layer adjacent to the boundary. Such a phenomenon may induce a significant impact on rheological measurements, particularly to viscosity, shear stress, and shear rate. Suspension has wide applications such as food processing, personal care products, pharmaceuticals, paints, medicine, and agrochemical. The traditional technique for the actual shear rate prediction is challenging yet difficult and non-favourable from the perspective of time and cost-effectiveness. Therefore, development of a mathematical computational model which has the ability to perform the prediction task with an acceptable level of accuracy is highly in need. Since radial basis function network (RBFN) has the ability to perform input-output mapping in a highly accurate manner, both of the approaches are employed to generate the actual shear rate prediction model. Through the model evaluation using a series of statistical analyses, it was found that RBFN model V is the best model as it shows the highest coefficient of determination (0.9998), lowest mean squared error (0.001058) and root mean squared error (0.001447), most negative Akaike information criterion (-18426.5) and Bayesian information criterion (-18415.5), and the smallest percentage error. 

Author Biographies

Lai Sai Hin , Associate Professor, Department of Civil Engineering, Faculty of Engineering, Universiti Malaya

Ir. Dr. Lai Sai Hin is an Assoc Prof at the Department of Civil Engineering, Faculty of Engineering (No 38 in QS World Ranking –Faculty of Engineering), University of Malaya (No 59 in QS World Ranking - University). He is a registered Professional Engineer (PEng, Malaysia), and Chartered Engineer (CEng, UK). He serves as a Fellow of Asean Academy of Engineering; Technology (FAAET) and Institution of Engineering and Technology(FIET). He has been the leader or been part of the team for about 40 national and international research projects. His research is focused on flood, drought, and water resources management in the context of climate change, which involved computational simulation, development of decision support system, artificial intelligent, and optimization models. He has published more than 80 research papers in reputed SCI journals.

Lee Foo Wei , Assistant Professor, Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman

Ts. Dr. Lee Foo Wei received his BEng. (Civil) and MSc. (Construction Management) from Universiti Teknologi Malaysia in year 2008 and 2009 respectively. In year 2017, he received his Ph.D. (Structural and Materials) from University of Malaya. He is currently an assistant professor in the Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia. He is a registered Professional Technologist (Malaysia Board of Technologists). He has been the leader or been part of the team for about several national and international research projects. His research direction focused on structural engineering (NDT structural assessment and health monitoring), concrete technology (high performance concrete, sustainable green construction and crumb rubberized concrete) and soil stabilizing agent.  He has published a total number of 27 research papers in reputed ISI journals and conference proceedings.

Kwong Kok Zee, Assistant Professor, Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman

Ir. Dr. Kwong Kok Zee received his BEng. (Civil and Construction Engineering) from Curtin University of Technology, Malaysia. He received his Ph.D. (Civil Engineering) from Universiti Malaysia Sabah. He is currently an assistant professor in the Department of Civil Engineering, Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia. He is a registered Professional Engineer (PEng, Malaysia). He has been the leader or been part of the team for about several national and international research projects. His research direction focused on structural engineering (NDT structural assessment and health monitoring as well as piezoelectric smart material).  He has published a total number of 16 research papers in reputed ISI journals and conference proceedings.

Downloads

Published

01-11-2023

How to Cite

Chin, R. J., Lai, S. H., Lee, F. W., & Kwong, K. Z. (2023). Actual Shear Rate Prediction Associated with Wall Slip Phenomenon Using Radial Basis Function Network. The Journal of The Institution of Engineers Malaysia, 84(1). https://doi.org/10.54552/v84i1.206