Agrawal Prashant, Barnet Laurel, Attinger Daniel
Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, United States.
Department of Mechanical Engineering, Iowa State University, Ames, IA 50011, United States.
Forensic Sci Int. 2017 Sep;278:240-252. doi: 10.1016/j.forsciint.2017.07.008. Epub 2017 Jul 13.
Bloodstain pattern analysis considers stains on various porous and non-porous surfaces, for the purpose of crime scene reconstruction. On non-porous surfaces, several studies relate the impact conditions of drops to the inspection of stain shapes. Stains on porous surfaces like fabrics have been relatively less explored. The phenomenon of imbibition of blood into the fabric after impact adds further complexity in retrieving information on the impacting conditions. The present work studies experimentally and numerically the formation of drip stains on a woven fabric. The proposed methodology first relies on Darcy's law to measure the imbibition characteristics of the fabric through a set of simple imbibition experiments. Next, the fabric properties are fed into a numerical model to predict the growth of the bloodstain after impact of a droplet. Experiments at different drop release heights and impact angles are compared with the numerical simulations. The uncertainties induced by the fabric on the determination of the impact and directional angles are explained and quantified.
血迹形态分析考虑各种多孔和无孔表面上的血迹,用于犯罪现场重建。在无孔表面上,多项研究将液滴的撞击条件与血迹形状的检查联系起来。像织物这样的多孔表面上的血迹相对较少被研究。撞击后血液渗入织物的现象在获取撞击条件信息方面增加了进一步的复杂性。本工作通过实验和数值方法研究了机织织物上滴状血迹的形成。所提出的方法首先依靠达西定律,通过一组简单的渗吸实验来测量织物的渗吸特性。接下来,将织物特性输入数值模型以预测液滴撞击后血迹的生长。将不同滴下高度和撞击角度下的实验与数值模拟进行了比较。解释并量化了织物在确定撞击角度和方向角度时所引起的不确定性。