2020
DOI: 10.1007/s11043-020-09451-3
|View full text |Cite
|
Sign up to set email alerts
|

A study on the response of PLGA 85/15 under compression and heat-treatment testing cycles

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
6
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(6 citation statements)
references
References 17 publications
0
6
0
Order By: Relevance
“…As can be seen in Figure 4a, both stiffness and strength of yarns reduce their values proportionally to the period of bath immersion, behavior that was already expected and clearly indicates mechanical degradation. 1,3,7 Nevertheless, due to the nonlinearities involved—both material and geometrical—the understanding of how much the hydrolytic degradation changes the stiffness over time is not straightforward in the present case.…”
Section: Discussionmentioning
confidence: 95%
See 4 more Smart Citations
“…As can be seen in Figure 4a, both stiffness and strength of yarns reduce their values proportionally to the period of bath immersion, behavior that was already expected and clearly indicates mechanical degradation. 1,3,7 Nevertheless, due to the nonlinearities involved—both material and geometrical—the understanding of how much the hydrolytic degradation changes the stiffness over time is not straightforward in the present case.…”
Section: Discussionmentioning
confidence: 95%
“…Over the last years, researches related to biodegradable/bioabsorbable polymers have increased considerably, ranging from studies concerning synthesis, processing and manufacturing to works focused on the mechanical characterization and constitutive modeling of these materials. [1][2][3][4][5][6][7] Particularly in biomedical applications, absorbable polymers are broadly are proposed to model the tested material. Moreover, a nonlinear curve fitting procedure based on Particle Swarm Optimization (PSO) was used to identify the constitutive parameters in view of the experimental data.…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations