A biodegradable magnesium alloy vascular stent structure: Design, optimisation and evaluation

Li, Yafei; Wang, Yan; Shen, Zhenquan; Miao, Fulong; Wang, Jianfeng; Sun, Yingjuan; Zhu, Shijie; Zheng, Yufeng; Guan, Shaokang

doi:10.1016/j.actbio.2022.01.045

Cited by 29 publications

(5 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…30 In fact, most researches have focused on the composite stents of metal materials and polymer materials. [31][32][33][34][35] However, it is still promising to combine soft materials with hard materials to obtain better lumen adaptability.…”

Section: Introductionmentioning

confidence: 99%

“…Previously, a mixed braided stent was successfully fabricated to improve flexibility without reducing the radial force, which provided a potential solution for balancing supportability and lumen adaptability 30 . In fact, most researches have focused on the composite stents of metal materials and polymer materials 31–35 . However, it is still promising to combine soft materials with hard materials to obtain better lumen adaptability.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design strategy of poly (L‐lactic acid) mixed braided stent: The influence of braiding ratio of thick and thin monofilaments

Zhang,

Hu,

Wang

et al. 2024

J of Applied Polymer Sci

View full text Add to dashboard Cite

For the design of polymer stents, supportability and flexibility are two important indexes, but they are often difficult to balance. The mixed braiding of monofilaments with different diameters provides a potential solution to balance these two indices. In this study, the influence of mixed braiding on the mechanical properties of the stent was further explored by adjusting the knitting ratio of thick and thin monofilaments. By replacing the monofilaments in the stent with monofilaments with smaller diameters in turn, the changing trend of supportability and flexibility is obtained. The results show that, when the number of thick monofilaments is greater than or equal to that of thin monofilaments, the supportability of the stent can not only be maintained but also the flexibility can be greatly improved. Therefore, mixed braiding has the function of adjusting supportability and flexibility.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design strategy of poly (L‐lactic acid) mixed braided stent: The influence of braiding ratio of thick and thin monofilaments

Zhang,

Hu,

Wang

et al. 2024

J of Applied Polymer Sci

View full text Add to dashboard Cite

show abstract

“…Traditionally commercial Mg alloys used as structural workpieces are not suitable for biomedical applications [ 4 ]. However, the design, development, and screening of novel biomedical Mg alloys with high mechanical properties, good corrosion resistance, and satisfactory biocompatibility remain a huge challenge [ [5] , [6] , [7] ].…”

Section: Introductionmentioning

confidence: 99%

Comparison of microstructure, mechanical property, and degradation rate of Mg–1Li–1Ca and Mg–4Li–1Ca alloys

Long

Chen

Cui

et al. 2023

Bioactive Materials

Self Cite

View full text Add to dashboard Cite

“…Additionally, it underscores the challenges and opportunities in this domain, including data quality, model interpretability, and model transferability [9,10]. Finally, it discusses the potential of utilizing ML methods to design and optimize magnesium alloys with enhanced corrosion resistance [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Machine Learning in Enhancing Corrosion Resistance of Magnesium Alloys: A Comprehensive Review

Guo,

Sun,

Zhang

et al. 2023

Metals

View full text Add to dashboard Cite

While magnesium alloys have garnered attention for their lightweight properties across diverse applications, their susceptibility to corrosion presents a formidable challenge. Recent years have witnessed the emergence of machine learning (ML) as a formidable tool for predicting and augmenting material properties, notably corrosion resistance. This comprehensive review investigates the latest advancements and hurdles in utilizing ML techniques to investigate the corrosion behavior of magnesium alloys. This article delves into a spectrum of ML algorithms, encompassing artificial neural networks, support vector machines, and random forests, elucidating their roles in predicting corrosion rates, morphologies, and other corrosion-related characteristics in magnesium alloys. Furthermore, it underscores the pivotal challenges and opportunities within this field, such as data quality, model interpretability, and model transferability. Finally, it examines the potential of ML methods in the conception and enhancement of magnesium alloys endowed with superior corrosion resistance. This review aspires to offer valuable insights into harnessing ML’s potential for optimizing magnesium alloy designs with heightened corrosion resistance, a facet of paramount importance across diverse industries, including the automotive, aerospace, and biomedical sectors. By addressing the challenges inherent in using ML to forecast corrosion rates, including data limitations and the intricacies of corrosion mechanisms, ML stands poised to emerge as a potent instrument for advancing the development of corrosion-resistant materials.

show abstract

A biodegradable magnesium alloy vascular stent structure: Design, optimisation and evaluation

Cited by 29 publications

References 41 publications

Design strategy of poly (L‐lactic acid) mixed braided stent: The influence of braiding ratio of thick and thin monofilaments

Design strategy of poly (L‐lactic acid) mixed braided stent: The influence of braiding ratio of thick and thin monofilaments

Comparison of microstructure, mechanical property, and degradation rate of Mg–1Li–1Ca and Mg–4Li–1Ca alloys

Machine Learning in Enhancing Corrosion Resistance of Magnesium Alloys: A Comprehensive Review

Contact Info

Product

Resources

About