Daniel Holland

Associate ProfessorDaniel Holland

Link Rm 410
Internal Phone: 93785

Qualifications

Research Interests

The focus of my research is to provide new insight into the fundamentals of chemical processes by using the latest experimental techniques. Chemical engineering relies on simple models and heuristic equations to enable the design of processes for a diverse array of industries including, for example, petrochemicals, fertilisers, pharmaceuticals and dairy. Whilst this approach is successful for established technology, it is rarely optimal for new processes. The conventional design approach has evolved in part because instruments are normally restricted to observing what goes into and what comes out of a process; very little can be observed about what is actually happening within the process. Recently, new technologies have become available that permit us to "see inside" chemical processes. The development and use of these technologies forms the basis of my research.

These new technologies are used to improve our fundamental understanding of processes and to optimise computational modelling of processes throughout the chemical industries. I am especially interested in using these technologies to study processes that require the handling of particles, however I also work on non-Newtonian, gas-liquid and liquid-liquid flows, diffusion, and mass transfer processes and modelling of chemical reactors.

Recent Publications

  • Danczyk M., Meaclem T., Mehdizad M., Clarke D., Galvosas P., Fullard L. and Holland D. (2020) Influence of contact parameters on Discrete Element method (DEM) simulations of flow from a hopper: Comparison with magnetic resonance imaging (MRI) measurements. Powder Technology 372: 671-684. http://dx.doi.org/10.1016/j.powtec.2020.06.002.
  • Gharib J., Pang S. and Holland D. (2020) Synthesis and characterisation of polyurethane made from pyrolysis bio-oil of pine wood. European Polymer Journal 133 109725: 109725-109725. http://dx.doi.org/10.1016/j.eurpolymj.2020.109725.
  • Holland D., Matviychuk Y., Steimers E. and von Harbou E. (2020) Improving the Accuracy of Model-based Quantitative NMR. Magnetic Resonance in press http://dx.doi.org/10.5194/mr-2019-4.
  • Clarke DA., Fabich HT., Brox TI., Galvosas P. and Holland DJ. (2019) On the influence of rotational motion on MRI velocimetry of granular flows – Theoretical predictions and comparison to experimental data. Journal of Magnetic Resonance 307 http://dx.doi.org/10.1016/j.jmr.2019.106569.
  • Driller T., Holland D. and Watson M.. (2019) A detailed look at the mechanisms involved in maple sap exudation. In Acta Horticulturae.