Kharchenko Serhii, Samborski Sylwester, Al Afif Rafat, Kharchenko Farida, Kłonica Mariusz, Piven Mykhailo
Department of Fundamentals of Production Engineering, Lublin University of Technology, 20-618 Lublin, Poland.
Institute of Chemical and Energy Engineering, University of Natural Resources and Life Sciences, 1190 Vienna, Austria.
Materials (Basel). 2025 May 1;18(9):2075. doi: 10.3390/ma18092075.
Mechanical impacts on loose biological objects caused by technological equipment can result in both external and internal damage, compromising the quality, storage life, and reproductive capacity of biological materials. This study addresses the need for a reliable methodology to assess such damage. The research aims to develop a systematic approach for identifying damage parameters in biological objects. The methodology involves applying artificial loading to biological samples, determining destructive forces, conducting tomography, processing images, and evaluating damage extent. Experiments were performed using a standard material testing machine and a custom-built impact test bench with varying parameters such as static and dynamic characteristics, object orientation, and load magnitude. The microstructure of the sample, in the form of 2D cross-sections and 3D images, was obtained using X-ray computed tomography. Image processing, with the Monte Carlo method, allowed for the calculation of microdamage coefficients. The key result of this study is the identification of a relationship between the microdamage coefficient of corn seeds and external load parameters. These findings are critical for understanding the effects of mechanical impact on biological materials. Future research should focus on expanding the study to other biological objects and enhancing measurement techniques for more precise damage assessment.
技术设备对松散生物物体造成的机械冲击可能导致外部和内部损伤,从而影响生物材料的质量、储存寿命和繁殖能力。本研究旨在满足对评估此类损伤的可靠方法的需求。该研究旨在开发一种系统方法来识别生物物体中的损伤参数。该方法包括对生物样本施加人工载荷、确定破坏力、进行断层扫描、处理图像以及评估损伤程度。使用标准材料试验机和定制的冲击试验台进行实验,这些试验台具有不同的参数,如静态和动态特性、物体方向和载荷大小。使用X射线计算机断层扫描获得了二维横截面和三维图像形式的样品微观结构。通过蒙特卡罗方法进行图像处理,可以计算微观损伤系数。本研究的关键结果是确定了玉米种子微观损伤系数与外部载荷参数之间的关系。这些发现对于理解机械冲击对生物材料的影响至关重要。未来的研究应集中于将研究扩展到其他生物物体,并改进测量技术以进行更精确的损伤评估。