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Patrick Comiskey, Ph.D.

Assistant Professor

  • Milwaukee WI UNITED STATES
  • Mechanical Engineering Department

Dr. Patrick Comiskey is an assistant professor in the Mechanical Engineering Department.

Education, Licensure and Certification

B.S.

Mechanical Engineering

Milwaukee School of Engineering

2014

Ph.D.

Mechanical Engineering

University of Illinois at Chicago

2019

Areas of Expertise

Aerodynamic Droplet Interaction
Computational Fluid Mechanics
Mechanical Engineering
Blood Spatter Patterns
Fluid Mechanics

Accomplishments

Faydor Litvin Graduate Honor Award, University of Illinois at Chicago

2017

Graduate Student Council Travel Award, University of Illinois at Chicago

2018

Graduate College Student Presenters Award, University of Illinois at Chicago

2018

Social

Selected Publications

A data set of bloodstain patterns for teaching and research in bloodstain pattern analysis: Gunshot backspatters

Data in Brief

Daniel Attinger, Yu Liu, Ricky Faflak, Yalin Rao, Bryce A Struttman, Kris De Brabanter, Patrick M Comiskey, Alexander L Yarin

2019

This is a data set of blood spatter patterns scanned at high resolution, generated in controlled experiments. The spatter patterns were generated with a rifle or a handgun with varying ammunition. The resulting atomized blood droplets travelled opposite to the bullet direction, generating a gunshot backspatter on a poster board target sheet. Fresh blood with anticoagulants was used; its hematocrit and temperature were measured. The main parameters of the study were the bullet shape, size and speed, and the distance between the blood source and target sheet. Several other parameters were explored in a less systematic way. This new and original data set is suitable for training or research purposes in the forensic discipline of bloodstain pattern analysis.

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Determining the region of origin of blood spatter patterns considering fluid dynamics and statistical uncertainties

Forensic Science International

Daniel Attinger, Patrick M Comiskey, Alexander L Yarin, Kris De Brabanter

2019

Trajectory reconstruction in bloodstain pattern analysis is currently performed by assuming that blood drop trajectories are straight along directions inferred from stain inspection. Recently, several attempts have been made at reconstructing ballistic trajectories backwards, considering the effects of gravity and drag forces. Here, we propose a method to reconstruct the region of origin of impact blood spatter patterns that considers fluid dynamics and statistical uncertainties. The fluid dynamics relies on defining for each stain a range of physically possible trajectories, based on known physics of how drops deform, both in flight and upon slanted impact. Statistical uncertainties are estimated and propagated along the calculations, and a probabilistic approach is used to determine the region of origin as a volume most compatible with the backward trajectories.

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Hydrodynamics of forward blood spattering caused by a bullet of general shape featured

Forensic Science International

PM Comiskey, AL Yarin, Daniel Attinger

2019

A generalized model for the chaotic disintegration of a liquid due to an arbitrarily shaped projectile is proposed. In particular, the model uses percolation theory to predict the fragmentation process of blood, resulting in forward spatter to determine the number of droplets, as well as their sizes and initial velocities resulting from the flow field generated by a 7.62 × 39 mm and a 0.45 auto bullet. Blood viscoelasticity, which slows down the initial velocities of the droplets, is accounted for. The main physical mechanisms responsible for the chaotic disintegration of blood in the case of forward spattering are (i) the Rayleigh-Taylor instability associated with denser blood accelerating toward lighter air and (ii) a cascade of instability phenomena triggered by the original Rayleigh-Taylor instability because the Reynolds number is of the order of 107.

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