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University of Ontario Institute of Technology

Investigation into smoothed particle hydrodynamics for non-newtonian droplet modelling

Abstract

dc:description.abstract

Droplet splatter dynamics is an important study in the field of forensics since a crime event can produce many blood stains. Understanding the origins of the blood stains from pure observations is very difficult because much of the information about the impact is lost. A theoretical model is therefore needed to better understand the dynamics of droplet impact and splatter. We chose to explore a fluid modelling method known as Smoothed Particle Hydrodynamics (SPH) to determine whether it is capable of modelling droplet splatter accurately. Specifically, we chose to investigate an SPH version of a non-Newtonian pressure correction method with surface tension. Three experiments were performed to analyze the different aspects of SPH. From the results of the experiments, we concluded that this method can produce stable simulations if an artificial viscosity model is included, a third-order polynomial kernel is used and the pressure boundary condition on surface particles are non-zero.

Degree

thesis:*
Name thesis:degree_name
Master of Science (MSc)
Discipline thesis:degree_discipline
Modelling and Computational Science
Grantor
University of Ontario Institute of Technology
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lobo, Gavin
Advisors dc:contributor.advisor
  • Aruliah, Dhavide
  • Qureshi, Faisal

Subjects

dc:subject × 5

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10155/195
OAI identifier oai:identifier
oai:ontariotechu.scholaris.ca:10155/195

Chain of custody

source
Harvested from
Ontario Institute of Technology
Base URL
ontariotechu.scholaris.ca/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Lobo, Gavin. Investigation into smoothed particle hydrodynamics for non-newtonian droplet modelling. University of Ontario Institute of Technology, 2011. https://hdl.handle.net/10155/195