structural optimization of pressure vessels using FEA
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Innovation Center of Faculty of Mechanical Engineering, Belgrade
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Prikaz svih podataka o dokumentuApstrakt
The main aim of many researchers is to solve the problem of shape optimization of the pressure vessels in order to save materials and energy during manufacturing, but preserve reliability during exploitation. Structural optimization of several parameters that have main impact on stress, strain and deformation state of the pressure vessels is presented in this research. Modern approach of stress and strain analysis on pressure vessels involves numerical and experimental testing. Experimental 3D Digital Image Correlation (DIC) method for analyzing full field of surface strain and stress including camera system in combination with Aramis software was used. After determination of areas with highest von Mises stresses and strain concentrations, numerical analysis of equivalent 3D model was performed in Ansys Workbench software. Results in critical areas were compared and they showed good agreement. Then, several parameters were chosen for optimization in order to reduce stresses and mass we...ight of pressure vessel. Response Surface Optimization (RSO) method was used to optimize geometry of the pressure vessel parts (shell, head and nozzles). It is shown that carried out optimization gives the minimum weight of pressure vessel with optimized wall and nozzle thicknesses for the given load.
Ključne reči:
structural optimization / pressure vessel / digital image correlation method / finite element analysis / response surface optimization methodIzvor:
International Conference of Experimental and Numerical Investigations and New Technologies, CNN TECH 2018, 2018, 32-Izdavač:
- Innovation Center of Faculty of Mechanical Engineering Belgrade
Finansiranje / projekti:
- Razvoj i primena metoda i laboratorijske opreme za ocenjivanje usaglašenosti tehničkih proizvoda (RS-MESTD-Technological Development (TD or TR)-35031)
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Institucija/grupa
Mašinski fakultetTY - GEN AU - Balać, Martina PY - 2018 UR - https://machinery.mas.bg.ac.rs/handle/123456789/6058 AB - The main aim of many researchers is to solve the problem of shape optimization of the pressure vessels in order to save materials and energy during manufacturing, but preserve reliability during exploitation. Structural optimization of several parameters that have main impact on stress, strain and deformation state of the pressure vessels is presented in this research. Modern approach of stress and strain analysis on pressure vessels involves numerical and experimental testing. Experimental 3D Digital Image Correlation (DIC) method for analyzing full field of surface strain and stress including camera system in combination with Aramis software was used. After determination of areas with highest von Mises stresses and strain concentrations, numerical analysis of equivalent 3D model was performed in Ansys Workbench software. Results in critical areas were compared and they showed good agreement. Then, several parameters were chosen for optimization in order to reduce stresses and mass weight of pressure vessel. Response Surface Optimization (RSO) method was used to optimize geometry of the pressure vessel parts (shell, head and nozzles). It is shown that carried out optimization gives the minimum weight of pressure vessel with optimized wall and nozzle thicknesses for the given load. PB - Innovation Center of Faculty of Mechanical Engineering Belgrade T2 - International Conference of Experimental and Numerical Investigations and New Technologies, CNN TECH 2018 T1 - structural optimization of pressure vessels using FEA SP - 32 UR - https://hdl.handle.net/21.15107/rcub_machinery_6058 ER -
@misc{ author = "Balać, Martina", year = "2018", abstract = "The main aim of many researchers is to solve the problem of shape optimization of the pressure vessels in order to save materials and energy during manufacturing, but preserve reliability during exploitation. Structural optimization of several parameters that have main impact on stress, strain and deformation state of the pressure vessels is presented in this research. Modern approach of stress and strain analysis on pressure vessels involves numerical and experimental testing. Experimental 3D Digital Image Correlation (DIC) method for analyzing full field of surface strain and stress including camera system in combination with Aramis software was used. After determination of areas with highest von Mises stresses and strain concentrations, numerical analysis of equivalent 3D model was performed in Ansys Workbench software. Results in critical areas were compared and they showed good agreement. Then, several parameters were chosen for optimization in order to reduce stresses and mass weight of pressure vessel. Response Surface Optimization (RSO) method was used to optimize geometry of the pressure vessel parts (shell, head and nozzles). It is shown that carried out optimization gives the minimum weight of pressure vessel with optimized wall and nozzle thicknesses for the given load.", publisher = "Innovation Center of Faculty of Mechanical Engineering Belgrade", journal = "International Conference of Experimental and Numerical Investigations and New Technologies, CNN TECH 2018", title = "structural optimization of pressure vessels using FEA", pages = "32", url = "https://hdl.handle.net/21.15107/rcub_machinery_6058" }
Balać, M.. (2018). structural optimization of pressure vessels using FEA. in International Conference of Experimental and Numerical Investigations and New Technologies, CNN TECH 2018 Innovation Center of Faculty of Mechanical Engineering Belgrade., 32. https://hdl.handle.net/21.15107/rcub_machinery_6058
Balać M. structural optimization of pressure vessels using FEA. in International Conference of Experimental and Numerical Investigations and New Technologies, CNN TECH 2018. 2018;:32. https://hdl.handle.net/21.15107/rcub_machinery_6058 .
Balać, Martina, "structural optimization of pressure vessels using FEA" in International Conference of Experimental and Numerical Investigations and New Technologies, CNN TECH 2018 (2018):32, https://hdl.handle.net/21.15107/rcub_machinery_6058 .