Biography:

Prof Sayyad Zahid Qamar is currently associated with the Mechanical and Industrial Engineering Department, Sultan Qaboos University, Muscat, Oman. He has worked both as a university academician and a researcher, and as a field engineer (mechanical), during his twenty-five years of professional service. His main research areas are applied materials and manufacturing; applied mechanics and design; Reliability engineering; and engineering education. He has worked on different funded projects in excess of 4 million US dollars. He is currently editing one Book, and one volume of an Encyclopedia, and is serving on the editorial boards of various well-known journals. He is the author of one research monograph (book), two edited book volumes, four book chapters, over 120 publications in refereed international journals and conferences, and 32 technical reports. He has also edited two technical book volumes, and is serving on the editorial boards of various well-known research journals. He has conducted experimental, numerical, analytical, and stochastic studies in the areas of Swelling and inert elastomers, Solid expandable tubular, Metal forming process, product, and tooling; etc.

Abstract:

Hot metal working processes such as rolling, forging, extrusion, and drawing commonly use tool steels such as AISI H11, H12 and H13 for dies and affiliated tooling. Extruded aluminum-alloy profiles find extensive application in construction, automobile, and aerospace industries. Solid expandable tubular (SET) technology is a relative newcomer in the petroleum drilling and development sector, responsible for various innovative strategies for enhanced oil recovery (EOR) from aging and mature reservoirs. Conical mandrels in tubular expansion are generally made of D-type tool steels. Commercial aluminum extrusion involves elevated temperatures, while tubular expansion is a cold-working process. Performance and reliability of dies and tools are key factors contributing to the quality and economy of these metal-forming processes. Dies fail predominantly by fracture, wear, and deflection. Recent studies show that fatigue fracture is the most dominant die failure mode, owing to factors such as intricate die geometries (giving rise to stress concentrations), and high thermal and mechanical stresses of a cyclic nature. Because of this severe service environment, dies/tools are carefully heat treated and surface hardened to obtain an optimum combination of high-hardness and high-toughness.

Various investigations on die and tool steels, carried out over the last two decades, are briefly presented here. Most of the work was conducted through university-industry partnership involving Sultan Qaboos University (Muscat, Oman), King Fahd University of Petroleum and Minerals (Dhahran, Saudi), NAPCO (Rusail, Oman), and ALUPCO (Dhahran, Saudi). Tool/die steels investigated were H13, H11, and D6. Studies conducted include heat treatment, mechanical testing, microscopic analysis, toughness evaluation, and stochastic modeling.

Biography:

Ying Wang received his PhD degree in Structural Engineering at the University of Western Australia (UWA) in 2010. After working as a Research Associate at UWA for one year and as a Lecturer at Deakin University for five years, he joined University of Surrey, UK, in 2016. His research findings in structural health monitoring led to invitations to present at more than ten world-renowned institutions and three reputed conferences. He was invited as a Guest Editor to edit special issues for four highly-esteemed journals. He has published 26 journal papers and 31 conference articles.

Abstract:

Infrastructure performance is of great importance for a nation’s economy and its people’s quality of life. Metallic structures are an important structural type for both transport and energy infrastructure. For example, there are more than 20,000 metallic bridges on UK road, rail and canal routes. For efficient and effective infrastructure asset management, Structural Health Monitoring (SHM) has been researched extensively worldwide in the past 20 years. Real-time SHM data, affected by operational, structural and environmental conditions, can be collected from installed sensor systems. They can provide more detailed information regarding the actual conditions of a structural system compared to traditional inspections. Therefore, the interpretation of the large volume of monitoring data, i.e. condition identification, becomes increasingly more important. This presentation aims to provide a comprehensive introduction of Dr. Wang’s recent research development in this field. Firstly, numerical simulation techniques including finite element modelling and spectral element modelling will be discussed. Secondly, experiences on the SHM system development in laboratory will be shared. Thirdly, the focus will be placed on the development of monitoring data interpretation methods. Specifically, the methods based on dynamic features, through model updating, and using pattern recognition, will be discussed in detail, and the relevant projects will be introduced. The presentation demonstrates that there are numerous opportunities in digital innovation for civil infrastructure, and that collaboration is important in this field.