Tieling Zhang
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Tieling Zhang has a total of 69 co-authors. Here are the top co-authors by number of shared publications:
- Muhammad Hussain
University of Wollongong
14 shared publications - Richard Dwight
University of Wollongong
6 shared publications - Khaled El-Akruti
University of Wollongong
4 shared publications - Zuojun Liu
School of artificial intelligence, Hebei University of Technology, Tianjin 300401, China
4 shared publications - Cheng Xiao
School of Control Science and Engineering, Hebei University of Technology, Tianjin 300131, China
3 shared publications - Muhammad Hussain
University of Wollongong
3 shared publications
Latest Publications
- Open Access
- 18 June 2026
- Published by MDPI AG in Nanomaterials
- Vol. 16  (12) , 767
Materials and Systems for Solar-Driven Interfacial Evaporation: From Material Design to System Integration and Engineering Applications
Solar-driven interfacial evaporation (SIE) has emerged as a transformative, off-grid technology that confines heat at the air–liquid interface, enabling high-efficiency vapor generation for decentralized water purification. Here, we present a comprehensive and critical review of the field, tracing its evolution from fundamental photothermal principles to integrated multifunctional systems. We first elucidate the thermodynamics of interfacial heat localization and the resultant enhancement in evaporation efficiency. We then systematically analyze material innovation strategies—including broadband-absorbing photothermal agents and tailored evaporator architectures—designed to overcome persistent challenges such as salt crystallization, fouling, and thermal losses. Moving beyond freshwater production, we highlight emerging pathways for extending SIE platforms toward water–energy cogeneration, selective resource recovery, and zero-liquid-discharge wastewater treatment. We further identify and objectively assess the key bottlenecks that currently hinder the transition from laboratory-scale prototypes to real-world deployment, with a focus on long-term material robustness under harsh environments, adaptability to fluctuating water chemistries, and techno-economic viability. Finally, we outline forward-looking research directions, including stimulus-responsive smart evaporators, elucidation of multi-field coupling mechanisms, and the establishment of standardized performance evaluation protocols. This review aims to provide both a tutorial for newcomers and a critical assessment for experienced researchers, offering a balanced perspective on the current state-of-the-art and a roadmap for translating SIE from academic research into sustainable, impactful technologies.
- 18 June 2026
- Published by MDPI AG in Nanomaterials
- Vol. 16  (12) , 767
Open AccessMaterials and Systems for Solar-Driven Interfacial Evaporation: From Material Design to System Integration and Engineering Applications
Solar-driven interfacial evaporation (SIE) has emerged as a transformative, off-grid technology that confines heat at the air–liquid interface, enabling high-efficiency vapor generation for decentralized water purification. Here, we present a comprehensive and critical review of the field, tracing its evolution from fundamental photothermal principles to integrated multifunctional systems. We first elucidate the thermodynamics of interfacial heat localization and the resultant enhancement in evaporation efficiency. We then systematically analyze material innovation strategies—including broadband-absorbing photothermal agents and tailored evaporator architectures—designed to overcome persistent challenges such as salt crystallization, fouling, and thermal losses. Moving beyond freshwater production, we highlight emerging pathways for extending SIE platforms toward water–energy cogeneration, selective resource recovery, and zero-liquid-discharge wastewater treatment. We further identify and objectively assess the key bottlenecks that currently hinder the transition from laboratory-scale prototypes to real-world deployment, with a focus on long-term material robustness under harsh environments, adaptability to fluctuating water chemistries, and techno-economic viability. Finally, we outline forward-looking research directions, including stimulus-responsive smart evaporators, elucidation of multi-field coupling mechanisms, and the establishment of standardized performance evaluation protocols. This review aims to provide both a tutorial for newcomers and a critical assessment for experienced researchers, offering a balanced perspective on the current state-of-the-art and a roadmap for translating SIE from academic research into sustainable, impactful technologies.
- Open Access
Coupling 3D CFD of Air Knife Jets with an Analytical Model for Coating Thickness Prediction and Operating Window Definition in Hot-Dip Galvanizing
A coupled modeling framework is developed to predict coating thickness after air knife wiping in hot-dip galvanizing. A 3D large eddy simulation (LES) using the WALE sub-grid scale (SGS) model is performed to resolve the jet impingement on the moving strip. Time-averaged wall static pressure and wall shear stress along the strip direction are extracted and used as driving inputs for a thin film model. Starting from the continuity and momentum equations, a lubrication-type formulation is derived, leading to a local cubic equation for film thickness that accounts for both pressure gradient and gravity. A coupling workflow is established to preprocess the LES wall signals and compute the final coating thickness . Parametric sweeps of inlet total pressure and the knife-to-strip distance are employed to construct operating window maps. The predicted trends show that increasing or decreasing intensifies wall loading and reduces , while the operating window boundary is governed by the balance between the gas-induced shears. Representative results, including peak wall loading and thickness ranges, are reported for industrially relevant operating conditions.Open AccessCoupling 3D CFD of Air Knife Jets with an Analytical Model for Coating Thickness Prediction and Operating Window Definition in Hot-Dip Galvanizing
A coupled modeling framework is developed to predict coating thickness after air knife wiping in hot-dip galvanizing. A 3D large eddy simulation (LES) using the WALE sub-grid scale (SGS) model is performed to resolve the jet impingement on the moving strip. Time-averaged wall static pressure and wall shear stress along the strip direction are extracted and used as driving inputs for a thin film model. Starting from the continuity and momentum equations, a lubrication-type formulation is derived, leading to a local cubic equation for film thickness that accounts for both pressure gradient and gravity. A coupling workflow is established to preprocess the LES wall signals and compute the final coating thickness . Parametric sweeps of inlet total pressure and the knife-to-strip distance are employed to construct operating window maps. The predicted trends show that increasing or decreasing intensifies wall loading and reduces , while the operating window boundary is governed by the balance between the gas-induced shears. Representative results, including peak wall loading and thickness ranges, are reported for industrially relevant operating conditions. - Open Access
- 7 March 2026
- Published by Elsevier in Reliability Engineering & System Safety
- Vol. 272
Dynamic risk analysis of bunkering operations based on system dynamics simulation and Bayesian network
- 7 March 2026
- Published by Elsevier in Reliability Engineering & System Safety
- Vol. 272
Open AccessDynamic risk analysis of bunkering operations based on system dynamics simulation and Bayesian network
- Open Access
- 16 November 2025
- Published by Elsevier in International Journal of Industrial Ergonomics
- Vol. 110
Ergonomics and safety in human–collaborative robot interaction: A review of literature for manufacturing industries
- 16 November 2025
- Published by Elsevier in International Journal of Industrial Ergonomics
- Vol. 110
Open AccessErgonomics and safety in human–collaborative robot interaction: A review of literature for manufacturing industries
- 1 October 2025
- Published by Springer Nature
- p. 1-15
Introduction
- 1 October 2025
- Published by Springer Nature
- p. 267-276
Risk Assessment and Big Data Analytics
- 1 October 2025
- Published by Springer Nature
- p. 183-227
Energy Pipeline Defect Growth Prediction Using Degradation Modeling
- 1 October 2025
- Published by Springer Nature
- p. 183-227
Energy Pipeline Defect Growth Prediction Using Degradation Modeling
- 1 October 2025
- Published by Springer Nature
- p. 251-265
Machine Learning Applications in Pipeline Integrity Management
- 1 October 2025
- Published by Springer Nature
- p. 251-265
Machine Learning Applications in Pipeline Integrity Management
- 1 October 2025
- Published by Springer Nature
- p. 105-144
Using Big Data Analytics in PIMS
- 1 October 2025
- Published by Springer Nature
- p. 145-182
Data Quality Issues in Model Testing