Deep learning and integrated approach to reconstruct meshes from tomograms of 3D braided composites
Source abstract
Abstract
The meticulous reconstruction of three-dimensional (3D) braided composite materials serves as a crucial foundation for achieving high-fidelity simulations. Nonetheless, the transition from tomographic images to a 3D mesh entails a laborious and time-intensive process. To address this, an integrated procedure based on artificial intelligence is proposed for reconstructing meshes from tomograms. The initial stage of the process involves employing artificial intelligence techniques to segment complex contours and optimize high-dimensional contours. This facilitates the input of high-quality images needed to reconstruct accurate digital twins with strong convergence. The subsequent reconstruction phase integrates various calculations, including shape interpolation, contour extraction, 3D surface reconstruction, 3D mesh reconstruction, and element data interpolation. During this process, optimization objectives are set to minimize the deviation between the digital twin's surface and the actual surface, as well as to optimize the aspect ratio of the element mesh. Upon completion of the aforementioned steps, high-quality input files suitable for finite element calculations are directly generated. Ultimately, the proposed method utilizes the reconstructed finite element model for mechanical analysis, and the results are found to be in good agreement with experimental tests. This method offers an efficient and rapid way to achieve high-quality reconstruction of complex digital twins.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Manufacturing Process and Optimization · 3D Surveying and Cultural Heritage · Optical measurement and interference techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (49)
Show source-provided references
1. Crack spatial distributions and dynamic thermomechanical properties of 3D braided composites during thermal oxygen ageing10.1016/j.compositesa.2021.106355 ↗
2. Full-field progressive fatigue damage of 3D5D braided composites with yarn-reduction: visualization, classification, and quantification10.1016/j.compscitech.2021.109214 ↗
3. On-axis fatigue behaviors and failure characterization of 3D5D braided composites with yarn-reduction using X-ray computed tomography10.1016/j.compscitech.2020.108585 ↗
4. Following the effect of braid architecture on performance and damage of carbon fibre/epoxy composite tubes during torsional straining10.1016/j.compscitech.2020.108451 ↗
5. Efficient processing of μCT images using deep learning tools for generating digital material twins of woven fabrics10.1016/j.compscitech.2021.109091 ↗
6. Numerical modeling of 3D woven composite reinforcements: a review10.1016/j.compositesa.2021.106729 ↗
7. A review on the Representative Volume Element-based multi-scale simulation of 3D woven high performance thermoset composites manufactured using resin transfer molding process10.1016/j.compositesa.2023.107499 ↗
8. Refine reconstruction and verification of meso-scale modeling of three-dimensional five-directional braided composites from X-ray computed tomography data10.1016/j.compstruct.2020.112347 ↗
9. Transverse compaction of 2D glass woven fabrics based on material twins – Part I: geometric analysis
10. Phase segmentation of uncured prepreg X-Ray CT micrographs10.1016/j.compositesa.2021.106527 ↗
11. Stochastic reconstruction of filament paths in fibre bundles based on two-dimensional input data10.1016/j.compositesa.2015.05.022 ↗
12. Reconstruction of mesostructural material twin models of engineering textiles based on Micro-CT Aided Geometric Modeling10.1016/j.compositesa.2019.105481 ↗
13. Mechanical properties prediction of injection molded short/long carbon fiber reinforced polymer composites using micro X-ray computed tomography10.1016/j.compositesa.2019.105732 ↗
14. Deep learning method for analysis and segmentation of fatigue damage in X-ray computed tomography data for fiber-reinforced polymers10.1016/j.compscitech.2022.109781 ↗
15. Deep-learning versus greyscale segmentation of voids in X-ray computed tomography images of filament-wound composites10.1016/j.compositesa.2023.107937 ↗
16. Deep learning based semantic segmentation of μCT images for creating digital material twins of fibrous reinforcements10.1016/j.compositesa.2020.106131 ↗
17. Material twins generation of woven polymer composites based on ResL-U-Net convolutional neural networks10.1016/j.compstruct.2023.116672 ↗
18. Segmentation of computed tomography images and high-precision reconstruction of rubber composite structure based on deep learning10.1016/j.compscitech.2021.108875 ↗
19. Reverse reconstruction of geometry modeling and numerical verification of 2.5D woven composites based on deep learning10.1016/j.compstruct.2023.117801 ↗
20. Automated conformal mesh generation chain for woven composites based on CT-scan images with low contrasts10.1016/j.compstruct.2023.116673 ↗
21. Avoiding interpenetrations and the importance of nesting in analytic geometry construction for Representative Unit Cells of woven composite laminates10.1016/j.compscitech.2016.10.010 ↗
22. Statistical analysis of real and simulated fibre arrangements in unidirectional composites10.1016/j.compscitech.2013.07.030 ↗
23. Automated reconstruction and conformal discretization of 3D woven composite CT scans with local fiber volume fraction control10.1016/j.compstruct.2020.112438 ↗
24. Efficient meshing technique for textile composites unit cells of arbitrary complexity10.1016/j.compstruct.2020.112757 ↗
25. Compressive response of hybrid 3D woven textile composites (H3DWTCs): an experimentally validated computational model10.1016/j.jmps.2018.08.018 ↗
26. Multiscale image-based modeling of progressive damage in 3D5D braided composites with yarn-reduction10.1016/j.ijsolstr.2023.112236 ↗
27. Damage and failure modelling of hybrid three-dimensional textile composites: a mesh objective multi-scale approach
28. Application of an improved watershed algorithm based on distance map reconstruction in bean image segmentation10.1016/j.heliyon.2023.e15097 ↗
29. A new approach for the detection of mammary calcifications by using the white Top-Hat transform and thresholding of Otsu10.1016/j.ijleo.2015.10.192 ↗
30. Optimization of block-matching and 3D filtering (BM3D) algorithm in brain SPECT imaging using fan beam collimator: Phantom study10.1016/j.net.2022.04.008 ↗
31. A vector line simplification algorithm based on the douglas–peucker algorithm, monotonic chains and dichotomy10.3390/ijgi9040251 ↗
32. Efficient semiautomatic segmentation of 3D objects in medical images
33. Screened Poisson surface reconstruction10.1145/2487228.2487237 ↗
34. Review of three-dimensional model simplification algorithms based on quadric error metrics and bibliometric analysis by knowledge map10.3390/math11234815 ↗
35. New aspects of the CISAMR algorithm for meshing domain geometries with sharp edges and corners10.1016/j.cma.2023.116111 ↗
36. Surface smoothing for topological optimized 3D models10.1007/s00158-021-03027-6 ↗
37. Evaluation of repeatability of different alignment methods to obtain digital interocclusal records: an in vitro study10.1016/j.prosdent.2022.07.014 ↗
38. Wang · 2021 · 172
39. A coupled elastic-plastic damage model for the mechanical behavior of three-dimensional (3D) braided composites10.1016/j.compscitech.2018.01.027 ↗
40. Virtual curing of textile polymer matrix composites10.1016/j.compstruct.2017.05.045 ↗
41. The role of curing stresses in subsequent response, damage and failure of textile polymer composites10.1016/j.jmps.2012.12.005 ↗
42. Effect of the cooling rate on the mechanical properties of glass fiber reinforced thermoplastic composites10.1016/j.compstruct.2017.06.007 ↗
43. The effect of different curing conditions on hardness, thickness, and residual stress of carbon fiber reinforced epoxy composites10.1177/0021998317735683 ↗
44. Compression response of 2D braided textile composites: single cell and multiple cell micromechanics based strength predictions10.1177/0021998308096500 ↗
45. A hierarchical multiscale model for the elastic-plastic damage behavior of 3D braided composites at high temperature10.1016/j.compscitech.2020.108230 ↗
46. Free-edge effect on the effective stiffness of single-layer triaxially braided composite10.1016/j.compscitech.2014.12.016 ↗
47. Braided textile composites under compressive loads: modeling the response, strength and degradation10.1016/j.compscitech.2007.06.008 ↗
48. Numerical study on off-axis tensile behavior of 3D braided composites at elevated temperature10.1080/15376494.2022.2141384 ↗
49. Effect of voids on fatigue damage propagation in 3D5D braided composites revealed via automated algorithms using X-ray computed tomography10.1016/j.ijfatigue.2022.106778 ↗