Analysis of Composite Structures in Curing Process for Shape Deformations and Shear Stress: Basis for Advanced Optimization
Identifying residual stresses and the distortions in composite structures during the curing process plays a vital role in coming up with necessary compensations in the dimensions of mold or prototypes and having precise and optimized parts for the manufacturing and assembly of composite structures....
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Journal of Composites Science |
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| Online Access: | https://www.mdpi.com/2504-477X/5/2/63 |
| _version_ | 1797395557434523648 |
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| author | Niraj Kumbhare Reza Moheimani Hamid Dalir |
| author_facet | Niraj Kumbhare Reza Moheimani Hamid Dalir |
| author_sort | Niraj Kumbhare |
| collection | DOAJ |
| description | Identifying residual stresses and the distortions in composite structures during the curing process plays a vital role in coming up with necessary compensations in the dimensions of mold or prototypes and having precise and optimized parts for the manufacturing and assembly of composite structures. This paper presents an investigation into process-induced shape deformations in composite parts and structures, as well as a comparison of the analysis results to finalize design parameters with a minimum of deformation. A Latin hypercube sampling (LHS) method was used to generate the required random points of the input variables. These variables were then executed with the Ansys Composite Cure Simulation (ACCS) tool, which is an advanced tool used to find stress and distortion values using a three-step analysis, including Ansys Composite PrepPost, transient thermal analysis, and static structural analysis. The deformation results were further utilized to find an optimum design to manufacture a complex composite structure with the compensated dimensions. The simulation results of the ACCS tool are expected to be used by common optimization techniques to finalize a prototype design so that it can reduce common manufacturing errors like warpage, spring-in, and distortion. |
| first_indexed | 2024-03-09T00:36:15Z |
| format | Article |
| id | doaj.art-2c066248676d407cae595e418b773935 |
| institution | Directory Open Access Journal |
| issn | 2504-477X |
| language | English |
| last_indexed | 2024-03-09T00:36:15Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Composites Science |
| spelling | doaj.art-2c066248676d407cae595e418b7739352023-12-11T18:06:33ZengMDPI AGJournal of Composites Science2504-477X2021-02-01526310.3390/jcs5020063Analysis of Composite Structures in Curing Process for Shape Deformations and Shear Stress: Basis for Advanced OptimizationNiraj Kumbhare0Reza Moheimani1Hamid Dalir2Advanced Composite Structures Engineering Laboratory, Department of Mechanical and Energy Engineering, Purdue School of Engineering and Technology, Indianapolis, IN 46202, USAAdvanced Composite Structures Engineering Laboratory, Department of Mechanical and Energy Engineering, Purdue School of Engineering and Technology, Indianapolis, IN 46202, USAAdvanced Composite Structures Engineering Laboratory, Department of Mechanical and Energy Engineering, Purdue School of Engineering and Technology, Indianapolis, IN 46202, USAIdentifying residual stresses and the distortions in composite structures during the curing process plays a vital role in coming up with necessary compensations in the dimensions of mold or prototypes and having precise and optimized parts for the manufacturing and assembly of composite structures. This paper presents an investigation into process-induced shape deformations in composite parts and structures, as well as a comparison of the analysis results to finalize design parameters with a minimum of deformation. A Latin hypercube sampling (LHS) method was used to generate the required random points of the input variables. These variables were then executed with the Ansys Composite Cure Simulation (ACCS) tool, which is an advanced tool used to find stress and distortion values using a three-step analysis, including Ansys Composite PrepPost, transient thermal analysis, and static structural analysis. The deformation results were further utilized to find an optimum design to manufacture a complex composite structure with the compensated dimensions. The simulation results of the ACCS tool are expected to be used by common optimization techniques to finalize a prototype design so that it can reduce common manufacturing errors like warpage, spring-in, and distortion.https://www.mdpi.com/2504-477X/5/2/63advanced composite cure simulationcarbon fiber-reinforced compositesoptimization studyprocess-induced shape deformationdesign of experimentsLatin hypercube sampling |
| spellingShingle | Niraj Kumbhare Reza Moheimani Hamid Dalir Analysis of Composite Structures in Curing Process for Shape Deformations and Shear Stress: Basis for Advanced Optimization Journal of Composites Science advanced composite cure simulation carbon fiber-reinforced composites optimization study process-induced shape deformation design of experiments Latin hypercube sampling |
| title | Analysis of Composite Structures in Curing Process for Shape Deformations and Shear Stress: Basis for Advanced Optimization |
| title_full | Analysis of Composite Structures in Curing Process for Shape Deformations and Shear Stress: Basis for Advanced Optimization |
| title_fullStr | Analysis of Composite Structures in Curing Process for Shape Deformations and Shear Stress: Basis for Advanced Optimization |
| title_full_unstemmed | Analysis of Composite Structures in Curing Process for Shape Deformations and Shear Stress: Basis for Advanced Optimization |
| title_short | Analysis of Composite Structures in Curing Process for Shape Deformations and Shear Stress: Basis for Advanced Optimization |
| title_sort | analysis of composite structures in curing process for shape deformations and shear stress basis for advanced optimization |
| topic | advanced composite cure simulation carbon fiber-reinforced composites optimization study process-induced shape deformation design of experiments Latin hypercube sampling |
| url | https://www.mdpi.com/2504-477X/5/2/63 |
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