Development of ABAQUS Plugin Predicting the Mechanical Behavior and Failure Modes of Weft Knitted-Reinforced Composites

The objective of this work is to create an ABAQUS plugin for predicting the failure mechanism, and mechanical characteristics of weft-knitted reinforced composites utilizing multi-scale modeling. This plugin facilitates the automatic modeling and analysis of weft-knitted reinforced composites, focus...

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Vydáno v:Fibers and polymers Ročník 26; číslo 2; s. 883 - 907
Hlavní autoři: Omrani, Elahe, Dibajian, Sayed Houssain, Hasani, Hossein
Médium: Journal Article
Jazyk:angličtina
Vydáno: Seoul The Korean Fiber Society 01.02.2025
Springer Nature B.V
한국섬유공학회
Témata:
Accuracy
Boundary conditions
Chemistry
Chemistry and Materials Science
Composite materials
Composite structures
Design
Elastic properties
Failure mechanisms
Failure modes
Finite element analysis
Finite element method
Geometry
Homogenization
Knit goods
Localization
Mathematical models
Mechanical properties
Micromechanics
Modulus of elasticity
Polymer Sciences
R&D
Regular Article
Research & development
Software
Unit cell
Weft
Yarn
섬유공학
Auto textile plugin
Mechanical behavior
Multi-scale modeling
Python scripting
Finite element
Weft-knitted composites
ISSN:1229-9197, 1875-0052
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Shrnutí:The objective of this work is to create an ABAQUS plugin for predicting the failure mechanism, and mechanical characteristics of weft-knitted reinforced composites utilizing multi-scale modeling. This plugin facilitates the automatic modeling and analysis of weft-knitted reinforced composites, focusing on parameters such as stiffness, strength, and failure mechanisms. The developed plugin estimates the homogenized effective elastic properties of a user-created macro-model for a weft-knitted reinforced composite structure. The plugin correctly extracts the concepts of homogenization based on micromechanics parametric inputs of fiber and resin which are considered separately by the software’s user. Afterward, the homogenized constants of the composites are automatically applied to the macro-model to achieve the most susceptible areas for failure after the localization step. It also enables the prediction of the composite strength and the identification of the sample’s critical mesoscale regions. This paper also explains the plugin’s homogenization and localization-based approach. Prior to carrying out parametric research, the simulation findings are verified using experimental data. Furthermore, experimental instances demonstrating its implementation and validation are provided. A comparative analysis of tensile characteristics between the multi-scale finite element model and experimental results disclosed that the model exhibited an overestimation of the failure strength in the course and wale directions by approximately 13%. Furthermore, the error due to predicting the tensile modulus in both directions is less than 7%. The results obtained from the prediction of the plugin revealed the approximate locations of failures within the composite unit cell under tensile loading in both course and wale directions.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1229-9197
1875-0052
DOI:10.1007/s12221-025-00850-2