ORCID Profile
0000-0003-1193-9438
Current Organisation
University of South Australia
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Trans Tech Publications, Ltd.
Date: 12-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.148-149.643
Abstract: Refinery crude preheat train (CPHT) is prone to fouling and ageing effects due to the complexity of processed crude feedstock preheated prior to distillation. This has serious implications on the thermal and hydraulic performance of the CPHT. As a result, efficient performance of crude preheat trains is compromised and as such, optimal scheduling cleaning operations are required to restore performance. In this paper, we attempt to review the subject of fouling/ageing control and mitigation in crude preheat train network by optimal scheduling cleaning approach. Three prominent optimisation techniques/models namely Mathematical Models (Mixed integer linear programming (MILP) and Mixed integer non-linear programming (MINLP) models) Artificial Intelligence (AI) Models and Heuristic Techniques used for achieving optimal cleaning are outlined.
Publisher: Informa UK Limited
Date: 18-04-2016
Publisher: IOP Publishing
Date: 19-07-2022
Abstract: In this study, a flexible porous polyvinyl alcohol (PVA)/graphene oxide (GO) composite film was developed and tested for flexible strain sensing and energy-storage applications. Morphology and mechanical properties were studied tensile strength and Young’s modulus increased by 225% and 86.88%, respectively, at 0.5 wt% GO. The PVA/GO film possesses exceptional sensing ability to various mechanical strains, such as tension, compression, bending, and torsion. For ex le, the gauge factor of the PVA/GO film as a tensile-strain sensor was measured as 2.46 (246%). Under compression loads, the PVA/GO composite film showed piezoresistive and capacitive strain-sensing characteristics. Under 5 kPa of compression load, the relative resistance increased by 81% with a 100 msec response time the relative capacitance increased by 160% with a 120 msec response time. The PVA/GO strain sensor exhibited high durability and reliability over 20 × 10 3 cycles of tensile strain and bending at 3.33 Hz. Moreover, the PVA/GO composite film showed good electrochemical properties due to its porous structure the maximum capacitance was 124.7 F g −1 at 0.5 wt% GO. After 20 × 10 3 charging–discharging cycles, the capacitance retention rate was 94.45%, representing high stable capacitance performance. The results show that electrically conductive porous PVA nanocomposite films are promising candidates for strain sensing and energy-storage devices.
Publisher: IOP Publishing
Date: 14-04-2023
Abstract: Recently, there has been growing demand for wearable electronic devices/strain sensors in soft robotics, body-health monitoring, human–machine interfaces, and human motion detection. Wearable strain sensors feature fast and multistimuli sensitivity, high flexibility, ultrastretchability, and biocompatibility. Although progress in flexible strain sensors is exponential, the production of wearable sensors faces several challenges, such as reliability and reproducibility. An in-depth understanding of the sensing mechanisms of flexible strain sensors based on’ polymeric nanocomposites is needed to fabricate reliable and reproducible sensors and move from the prototype phase into the industry phase. In this review, types of strain sensors and key parameters such as linearity, gauge factor (sensitivity), hysteresis, and durability are explained in the context of recently published work. In addition, current challenges and perspectives in relation to wearable strain sensors are delineated.
Publisher: Elsevier BV
Date: 05-2023
Publisher: Elsevier BV
Date: 09-2022
Publisher: Science Alert
Date: 08-2012
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 12-2022
No related grants have been discovered for Abdullatif Lacina Diaby.