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Development of a Methodology for Assessing Mechanical Damage in Biological Objects: Impact Parameters and
Serhii Kharchenko1, Sylwester Samborski1, Rafat Al Afif2
1Department of Fundamentals of Production Engineering, Lublin University of Technology, 20-618 Lublin, Poland.
Materials (Basel, Switzerland)
|May 14, 2025
Summary
Mechanical impacts damage biological materials. This study developed a method to assess damage in corn seeds, linking microdamage to external load parameters for better quality control.
Area of Science:
- Agricultural Engineering
- Materials Science
- Biophysics
Background:
- Mechanical impacts from equipment can harm biological materials, affecting quality and viability.
- Existing methods for damage assessment are insufficient for precise evaluation.
- Understanding impact-induced damage is crucial for preserving biological resources.
Purpose of the Study:
- To develop a systematic methodology for identifying and quantifying mechanical damage in biological objects.
- To establish a reliable approach for assessing the extent of internal and external damage.
- To investigate the relationship between applied loads and resulting microstructural damage.
Main Methods:
- Artificial loading of biological samples using material testing and impact test benches.
- X-ray computed tomography (CT) for obtaining 2D cross-sections and 3D microstructural images.
- Image processing, including the Monte Carlo method, to calculate microdamage coefficients.
Main Results:
- A direct relationship was identified between the microdamage coefficient of corn seeds and external load parameters.
- The methodology successfully quantified microstructural changes caused by mechanical impacts.
- Destructive forces and damage extent were evaluated under varying load conditions.
Conclusions:
- The developed methodology provides a reliable way to assess mechanical damage in biological materials.
- Findings are crucial for understanding the impact of technological equipment on biological object integrity.
- Further research is needed to apply this method to diverse biological samples and refine measurement precision.
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