As a kind of high quality natural material, the structure and mechanical properties of fish scale have been widely concerned. At present, there are few researches on fish scales in China, and most of them focus on the composition and nutritional value of fish scales, while there are few researches on their mechanical properties and microstructure. In this paper, based on the digital image correlation method and a set of self-built strain measurement system, the tensile strain of fish scale specimens was measured, and the fish scale specimens after surface speckle treatment were tensile tested and data were collected. The mechanical properties of fish scales in the uniaxial drawing process were studied and analyzed, and the microscopic images showed that the tensile strength of fish scales was related to the number of collagen fiber layers in their inner layers.
Fish is a common and widely distributed creature. Its skin has a unique physiological structure and plays an important role in many fields. Fish skin also has important potential value for bionics research. This study aims to provide a method and a reliable data for the study of bionics. A method of measuring the mechanical properties of fish skin samples using a binocular stereo digital image correlation (DIC) system combined with a synchronous tensile testing machine was proposed. The mechanical properties (e.g., elastic modulus E and strain) of grass fish skin samples (GFSA) were tested in hydrophilic and dry states. A dual-frequency laser interferometer was used to calibrate the tensile testing machine synchronously, and the feasibility and strain accuracy of DIC in GFSA measurement were verified by finite element method (FEM). The results show differences in the mechanical properties of GFSA between different individuals, different parts, and different states. Under the same stress, the head was easy to deform, and the strain was the largest, and E was the smallest. The tail result was the opposite of the head result.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.