Predictive modeling for composites properties based on reinforcing fibre architecture
Use of structurally reinforced composites is widespread in many industries and applications due to their high strength-to-weight ratio. For textile fiber architectures, their entwined nature ensures that multi-directional integrity is maintained without being affected much by climate and other wear-...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
2014
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| Online Access: | https://hdl.handle.net/10356/56316 |
| _version_ | 1826111952848420864 |
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| author | Aditya Mahesh Khatri |
| author2 | Sunil Chandrakant Joshi |
| author_facet | Sunil Chandrakant Joshi Aditya Mahesh Khatri |
| author_sort | Aditya Mahesh Khatri |
| collection | NTU |
| description | Use of structurally reinforced composites is widespread in many industries and applications due to their high strength-to-weight ratio. For textile fiber architectures, their entwined nature ensures that multi-directional integrity is maintained without being affected much by climate and other wear-and-tear. Different types of fiber reinforcement architectures impart different properties to the corresponding composites. This study seeks to compare the mechanical properties of differently structured performs – namely, unidirectional, woven and braided textiles. Novel expressions for the transverse Young’s modulus and Poisson’s ratio of unidirectional fibers were derived to provide improvements over the contemporary computational and classical models. These new expressions make use of shear effects at the yarn-matrix interface and are adapted for non-circular yarns as well. Consequently, mechanical property predictors for woven and braided textile composites are created. Geometric and mechanical stiffness models in MATLAB® using Classical Lamination Theory (CLT) are developed. These models make use of contemporary as well as the new-improved yarn formulations. As envisaged, improvements over the existing textile modeling work are observed. A general modeling methodology that can be used for implementing CLT for predicting properties of other textiles (such as knitted) is also established. |
| first_indexed | 2024-10-01T02:59:16Z |
| format | Thesis |
| id | ntu-10356/56316 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:59:16Z |
| publishDate | 2014 |
| record_format | dspace |
| spelling | ntu-10356/563162023-03-11T17:52:36Z Predictive modeling for composites properties based on reinforcing fibre architecture Aditya Mahesh Khatri Sunil Chandrakant Joshi School of Mechanical and Aerospace Engineering DRNTU::Engineering::Materials::Composite materials DRNTU::Engineering::Aeronautical engineering::Materials of construction DRNTU::Engineering::Mathematics and analysis::Simulations Use of structurally reinforced composites is widespread in many industries and applications due to their high strength-to-weight ratio. For textile fiber architectures, their entwined nature ensures that multi-directional integrity is maintained without being affected much by climate and other wear-and-tear. Different types of fiber reinforcement architectures impart different properties to the corresponding composites. This study seeks to compare the mechanical properties of differently structured performs – namely, unidirectional, woven and braided textiles. Novel expressions for the transverse Young’s modulus and Poisson’s ratio of unidirectional fibers were derived to provide improvements over the contemporary computational and classical models. These new expressions make use of shear effects at the yarn-matrix interface and are adapted for non-circular yarns as well. Consequently, mechanical property predictors for woven and braided textile composites are created. Geometric and mechanical stiffness models in MATLAB® using Classical Lamination Theory (CLT) are developed. These models make use of contemporary as well as the new-improved yarn formulations. As envisaged, improvements over the existing textile modeling work are observed. A general modeling methodology that can be used for implementing CLT for predicting properties of other textiles (such as knitted) is also established. MASTER OF ENGINEERING (MAE) 2014-04-04T08:56:51Z 2014-04-04T08:56:51Z 2014 2014 Thesis Aditya Mahesh Khatri. (2014). Predictive modeling for composites properties based on reinforcing fibre architecture. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/56316 10.32657/10356/56316 en 249 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Materials::Composite materials DRNTU::Engineering::Aeronautical engineering::Materials of construction DRNTU::Engineering::Mathematics and analysis::Simulations Aditya Mahesh Khatri Predictive modeling for composites properties based on reinforcing fibre architecture |
| title | Predictive modeling for composites properties based on reinforcing fibre architecture |
| title_full | Predictive modeling for composites properties based on reinforcing fibre architecture |
| title_fullStr | Predictive modeling for composites properties based on reinforcing fibre architecture |
| title_full_unstemmed | Predictive modeling for composites properties based on reinforcing fibre architecture |
| title_short | Predictive modeling for composites properties based on reinforcing fibre architecture |
| title_sort | predictive modeling for composites properties based on reinforcing fibre architecture |
| topic | DRNTU::Engineering::Materials::Composite materials DRNTU::Engineering::Aeronautical engineering::Materials of construction DRNTU::Engineering::Mathematics and analysis::Simulations |
| url | https://hdl.handle.net/10356/56316 |
| work_keys_str_mv | AT adityamaheshkhatri predictivemodelingforcompositespropertiesbasedonreinforcingfibrearchitecture |