Wenhan Tian

Beihang University

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Juan Guan

The University of Texas at Austin

Robert O. Ritchie

University of California, Berkeley

Kang Yang

Beijing University of Posts and Telecommunications

Sujun Wu

Beihang University

Zihong Wu

Beihang University

Dongdong Ye

Anhui Agricultural University

Nannan Qin

Chinese Academy of Meteorological Sciences

Siyu Cai

Shandong First Medical University

Guanping He

Beijing Institute of Technology

Jiping Yang

Beihang University

Cooperative Institutions

Beihang University

Anhui University of Technology

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Central South University

Beijing Advanced Sciences and Innovation Center

Capital Medical University

Aviation Industry Corporation of China (China)

Zhengzhou University

Xuchang University

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The Critical Role of Corrugated Lamellae Morphology on the Tough Mechanical Performance of Natural <i>Syncerus caffer</i> Horn Sheath

Kang Yang Haotian Yu Juan Guan Siyu Cai Zexin Yang

Horns of Bovidae family represent extremely tough natural composites that resist flexural and impact damage during combats. However, the microstructure characteristics of the outer sheath of these horns and how this affects their mechanical properties and resistance to damage remain to be explored for the Bovinae subfamily. In this work we report that the Syncerus caffer horn sheath exhibits the highest toughness among the bovine horn sheaths. Its mechanical properties are closely related to its corrugated lamellae morphology. Finite element modeling verifies that the critical design characteristics of the curved corrugated lamellae with inter-lamellar connections has a profound effect on the flexural and impact mechanical behaviour of the sheath. Furthermore, the stress concentration at the ridge region for the highly curved-lamellar morphology is proved to possess rich disulphide crosslinking, suggesting a purposeful evolution of the heterogeneous lamellae structure. This work aims to provide insights into the toughening mechanisms of natural horn sheaths, and to encourage biomimetic design of superior structural materials.

Morphology

10.2139/ssrn.4369788

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Correlating multi-scale structure characteristics to mechanical behavior of Caprinae horn sheaths

Journal of Materials Research and Technology (2022)

Kang Yang Nannan Qin Haiyun Yu Changgeng Zhou Hailiang Deng

Horns are used by Bovidae animals for intraspecific combat; as such they are among Nature's toughest materials that require resistance to extreme loads. As a typical subfamily among Bovidae, Caprinae own light-wight horn with balanced strength and toughness. However, their structure and the salient mechanisms that underlie their mechanical behavior remain uncertain. This work clarifies the effect of multi-scale structure characteristics on mechanical behaviors of horn sheath by comparing Cashmere goat, White goat and Black sheep. With the methods of fractographic observations, conformational analysis, acoustic emission and finite element methods. Conformation of keratin and strength of fibre were proposed to influence the tensile/flexural performance a lot under both dried and hydrated condition. The corrugated lamellae structure was assumed to promote crack deflection and enhance dried samples, which showed more advantageous for applications of flexural loading. It is hard to impute the difference of mechanics to any one factor, and the synergism of multi-scale mechanisms is important to mechanical properties in Caprinae horn sheath. This research is expected to further encourage the horn-inspired design of secondary load-carrying lightweight composites.

Subfamily

10.1016/j.jmrt.2022.10.044

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Citations (71)

Corrigendum to ‘Correlating multi-scale structure characteristics to mechanical behavior of Caprinae horn sheaths’

Journal of Materials Research and Technology (2022)

Kang Yang Nannan Qin Haiyun Yu Changgeng Zhou Hailiang Deng

10.1016/j.jmrt.2022.12.077

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Mechanically robust surface-degradable implant from fiber silk composites demonstrates regenerative potential

Bioactive Materials (2024)

Wenhan Tian Yuzeng Liu Bo Han Fengqi Cheng Kang Yang

Fiber-reinforced composite

10.1016/j.bioactmat.2024.11.036

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Preparation and in vitro activity of single chain antibodies against Alzheimer's disease

Immunology Letters (2020)

Lu Fu Yu Zhang Xu Zhang Wenhan Tian Wenhui Zhang

Single-chain variable fragment

10.1016/j.imlet.2020.07.009

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Citations (7)

[Physical, chemical, and biological property of silk reinforced polycaprolactone composites for bone tissue engineering].

PubMed (2024)

Wenhan Tian Guanping He Yuzeng Liu Juan Guan

To develop a biodegradable implantable bone material with compatible mechanics with the bone tissue, providing a new biomaterial for clinical bone repair and regeneration.

Polycaprolactone

Physical property

Bone tissue

10.7507/1002-1892.202404120

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Heterogeneous nucleation induced A. pernyi/B. mori silk fibroin coatings on AZ31 biometals with enhanced corrosion resistance, adhesion and biocompatibility

International Journal of Biological Macromolecules (2024)

Xinru Cao Yanning Chen Chen Zhang Zhinan Mao Jingwu Zhang

Fibroin

Biocompatibility

Biomaterial

Antheraea pernyi

10.1016/j.ijbiomac.2024.130524

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Theoretical and experimental investigation of the antioxidative activity of monascin

Food & Function (2020)

Xiaowei Zhang Chunhui Liu Wenhan Tian Hui Zhang Peirui Li

The antioxidant activity of monascin characterized by both theoretical prediction and experimental validation via colorimetric and electron spin resonance (ESR) assays.

10.1039/c9fo02410g

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Predicting New Single/Multiphase Structure High Entropy Alloys by Pattern Recognition Network

SSRN Electronic Journal (2022)

Jiayu Wang Ke Liu Xing Li Ruya Shi Xuan Guo

The phase structures of a dataset of 634 set high entropy alloys (HEAs) were predicted by machine learning methods and classified into four categories: bcc, fcc, bcc+fcc and others (containing intermetallic compounds and other structural alloys). The algorithm was a Pattern Recognition Network (PRN) using the cross-entropy as loss function, which could predict the phase formation probability of HEAs. The PRN algorithm was proved to be over 87% accurate on the test data. With the increase of Al content in AlxCoCu6Ni6Fe6 and AlxCoCrCuNiFe HEAs, the transformation from fcc to fcc+bcc and then to bcc structure was successfully predicted by the PRN algorithm. Meanwhile, the AlxCoCu6Ni6Fe6 (x=1,3,6,9) HEAs were also prepared and characterized, the experimental results showed that the phase structures were highly consistent with the prediction.

High-Entropy Alloys

10.2139/ssrn.4117112

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Understanding the Interfacial Adhesion between Natural Silk and Polycaprolactone for Fabrication of Continuous Silk Biocomposites

ACS Applied Materials & Interfaces (2022)

Ruya Shi Dongdong Ye Ke Ma Wenhan Tian Yan Zhao

The poor interfacial adhesion between silk fiber and polyester species remains a critical problem for the optimal mechanical performance of silk-reinforced polyester composites. Here, we investigated in quantitative terms the interfacial properties between natural silk fibers and polycaprolactone (PCL) at nano-, micro-, and macroscales and fabricated continuous silk-PCL composite filaments by melt extrusion and drawing processing of PCL melt at 100, 120, and 140 °C. Bombyx mori (Bm) silk, Antheraea pernyi (Ap) silk, and polyamide6 (PA6) fiber were compared to the composite with PCL. The Ap silk exhibited the highest surface energy, the best wettability, and the largest interfacial shear strength (IFSS) with PCL. The silk-PCL composite from the 120 °C melt processing displayed the highest tensile modulus, implying an optimal temperature for interfacial adhesion. The Raman imaging technique revealed in detail the nature of the physical fusion of the interface phase in these silk- and polyamide-reinforced PCL composites. This work is intended to lay a foundation for the design and processing of robust composites from continuous silk fibers and bioresorbable polyesters for potential structural biomaterials.

Polycaprolactone

10.1021/acsami.2c11045

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Citations (7)