1. Aims and relevance

Research Topics and Questions

A. Surface Characterisation and Ice Adhesion

Investigating the relationship between surface topography and ice adhesion. How do micro and nano-scale surface features influence ice nucleation and subsequent adhesion?

B. Multiphysics Modelling

Extending current multiphysics models to include complex interactions between thermal properties, surface characteristics, and environmental factors. What improvements can be made to existing models to better predict ice formation and adhesion under varying conditions?

C. Innovative Ice Mitigation Technologies

Exploring the design and efficiency of new anti-icing technologies using a combination of empirical research and simulation studies. Can we develop more effective coatings or surfaces that reduce ice adhesion strength without compromising material integrity or environmental safety?

Relevance to the Research Field

This project is highly relevant to the field of Arctic engineering and environmental science, addressing critical challenges in ice management that affect energy, transportation, and safety in cold regions. By combining Dr. Khawaja's expertise in ice detection and mitigation with Prof. Boiger's advanced multiphysics modeling techniques, this collaboration aims to push forward the frontiers of what is currently possible in predictive modeling and practical applications in ice management.

Value added by an in-person visit

An in-person visit is crucial for this collaboration due to the need for intensive, hands-on joint research activities including lab experiments, model development, and data analysis using ZHAW's specialized resources.

2. Methods

A. Empirical Data Collection and Surface Analysis

To thoroughly understand the impact of surface characteristics on ice adhesion, Dr. Khawaja working in collaboration with Prof. Boiger will employ a combination of data collection from thermographic images and electron microscopy. Techniques such as infrared thermography and electron microscopy will be used to analyze ice formation and adhesion on various surface materials. This will help in identifying key parameters that influence ice nucleation at a micro-structural level.

B. Multiphysics Modeling

Dr. Khawaja in collaboration with Prof. Boiger, will lead efforts in extending and refining multiphysics models that incorporate real-world data and cloud computing resources for enhanced simulation accuracy. These models will integrate thermodynamic, mechanical, and surface characteristic data to simulate and predict ice formation and adhesion under diverse environmental conditions. The use of cloud computing will enable handling complex calculations and large datasets more efficiently, accelerating the modeling process.

C. Simulation and Testing of Anti-Icing Technologies

Dr. Khawaja working collaboratively with Prof. Boiger will develop, and test new materials and technologies designed to mitigate ice adhesion. This will include the design of experimental setups for controlled simulation of icing conditions in the lab, followed by testing in icing conditions. Advanced simulation tools will be used to predict performance before physical prototypes are created, thereby optimizing the design process.

D. Data Analysis and Model Validation

Using statistical and computational tools, the data obtained from laboratory experiments will be analysed to validate and refine the predictive models. This step is crucial for ensuring that the models can reliably predict real-world scenarios and for making necessary adjustments based on empirical evidence.