Prof. MOHD NASIR TAMIN
Universiti Teknologi Malaysia, Malaysia
Biography: Prof. 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 Faculty of Mechanical Engineering, Universiti Teknologi Malaysia since 1984. He had his fair share of administrative positions as the Head of the Applied Mechanics Department, Head of the Materials Engineering Department, Director of UTM Center for Composites, and the Deputy Dean (Research and Innovation) of the faculty. He is currently leading his research team with 11 doctoral candidates, a post-doctoral researcher, and a project manager at the Computational Solid Mechanics Laboratory (CSMLab) UTM, which he founded in 2006.
Prof. Tamin leads his research team on few successful research collaborations with industries. These include Intel Technology on the development of a validated methodology for reliability prediction of solder joints in BGA packages, and failure process modeling of TSV interconnects in microelectronic packages; with Kiswire (Korea) for fatigue life improvement of steel wire ropes; with Airbus (France) and Aerospace Malaysia Innovation Center (AMIC) for damage detection in FRP composite laminates using the digital image correlation (DIC) technique; and with Flextronics Semiconductor in promoting Surface Mount Technology through university academic curriculum. He has also served as an external examiner of the academic programs at several local universities. Prof. Tamin has been invited as a visiting researcher at Sophia University, Tokyo (Japan), a visiting professor at the Institut Supérieurde l’Automobileet des Transport, Nevers (France) and Dongguk University, Seoul (Korea). He is currently a visiting research professor at the University of Southampton (Malaysia Campus).
Prof. Tamin is keen in promoting the university-industry collaboration, and the academic and research collaboration among colleagues across the globe.
Title of Speech: Damage-based Reliability Assessment Framework
for the Cyber-Physical Systems
Abstract: The current trend of automation and data exchange in the manufacturing technology, as described by the fourth industrial revolution encompass, among others, the cyber-physical systems (CPS). In this respect, this paper describes a framework that consists of the interaction between the computational elements and the physical elements, with a case study on the reliability aspects of newly-designed and manufactured steel wire ropes. The computational elements emphasize on the development of the damage-based material model for the drawn steel wires, and the implementation of the model for quantitative reliability assessment using the finite element (FE) simulation. While the physical elements deal with the fast generation of the residual property data through mechanical testing of the drawn wires. In this deterministic approach to the reliability analysis, Lemaitre’s two-scale damage model is modified to calculate the fretting fatigue damage of the drawn steel wires. The material damage is manifested through the degradation of the Young’s modulus of the wires. The damage is quantified through a series of interrupted fatigue tests of the drawn wire samples. A fatigue damage calculation routine based on varying load cycle blocks is developed to efficiently calculate the evolution of the damage to separation of the critical material points of the drawn wires in the wire rope. This incremental damage calculation routine is incorporated into the commercially available FE analysis software to establish force equilibrium of the wire rope model following each increment of the damage. The predictive capability of the reliability model is examined through a case study employing a single strand (1×7) steel wire rope with 5.43 mm-diameter drawn wires subjected to axial fatigue loading. The mechanics of deformation and failure of the wire rope are described in terms of the initiation and subsequent evolution of the fretting-induced damage in the critical drawn wires of the wire rope. The interaction of these computational elements, primarily dictated by the damage-based and FE model employed, and the physical elements, described by the data collection and analysis from the interrupted fatigue tests of the drawn wire samples, is envisioned. Extension of the proposed reliability assessment framework for other CPS is addressed.