A Unified Geometry Parametrization Method for Turbomachinery Blades. (April 2021)
- Record Type:
- Journal Article
- Title:
- A Unified Geometry Parametrization Method for Turbomachinery Blades. (April 2021)
- Main Title:
- A Unified Geometry Parametrization Method for Turbomachinery Blades
- Authors:
- Agromayor, Roberto
Anand, Nitish
Müller, Jens-Dominik
Pini, Matteo
Nord, Lars O. - Abstract:
- Abstract: Turbomachinery design is increasingly carried out by means of automated workflows based on high-fidelity physical models and optimization algorithms. The parametrization of the blade geometry is an essential aspect of such workflows because it defines the design space in which an optimal solution can be found. Currently, parametrization methods used for this purpose are often tailored to one particular type of turbomachinery blade, do not provide shape derivatives required for gradient-based optimization, or are not suited to re-parametrize a baseline blade geometry defined by a set of scattered point coordinates in a systematic way. This paper thus presents a general blade parametrization method for axial, radial, and mixed flow blades based on typical turbomachinery design variables and NURBS curves and surfaces. The shape derivatives are computed by means of the complex-step method, allowing the integration of the parametrization into gradient-based shape optimization workflows. In addition, the method enables the re-parametrization of a blade geometry defined by a cloud of points by solving a two-step optimization problem. The capabilities of the method are demonstrated by replicating eight blade geometries in two and three dimensions with an accuracy comparable to the tolerances of current manufacturing technologies. Highlights: Formulation of a unified geometry parametrization method for turbomachinery blades. Sensitivity computation by means of theAbstract: Turbomachinery design is increasingly carried out by means of automated workflows based on high-fidelity physical models and optimization algorithms. The parametrization of the blade geometry is an essential aspect of such workflows because it defines the design space in which an optimal solution can be found. Currently, parametrization methods used for this purpose are often tailored to one particular type of turbomachinery blade, do not provide shape derivatives required for gradient-based optimization, or are not suited to re-parametrize a baseline blade geometry defined by a set of scattered point coordinates in a systematic way. This paper thus presents a general blade parametrization method for axial, radial, and mixed flow blades based on typical turbomachinery design variables and NURBS curves and surfaces. The shape derivatives are computed by means of the complex-step method, allowing the integration of the parametrization into gradient-based shape optimization workflows. In addition, the method enables the re-parametrization of a blade geometry defined by a cloud of points by solving a two-step optimization problem. The capabilities of the method are demonstrated by replicating eight blade geometries in two and three dimensions with an accuracy comparable to the tolerances of current manufacturing technologies. Highlights: Formulation of a unified geometry parametrization method for turbomachinery blades. Sensitivity computation by means of the complex-step method. Systematic matching method to parametrize a blade from scattered point coordinates. Application of the method to replicate eight exemplary blade geometries. … (more)
- Is Part Of:
- Computer aided design. Volume 133(2021)
- Journal:
- Computer aided design
- Issue:
- Volume 133(2021)
- Issue Display:
- Volume 133, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 133
- Issue:
- 2021
- Issue Sort Value:
- 2021-0133-2021-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-04
- Subjects:
- Turbine -- Compressor -- Shape optimization -- Gradient -- CAD -- NURBS
Computer-aided design -- Periodicals
Engineering design -- Data processing -- Periodicals
Computer graphics -- Periodicals
Conception technique -- Informatique -- Périodiques
Infographie -- Périodiques
Computer graphics
Engineering design -- Data processing
Periodicals
Electronic journals
620.00420285 - Journal URLs:
- http://www.journals.elsevier.com/computer-aided-design/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cad.2020.102987 ↗
- Languages:
- English
- ISSNs:
- 0010-4485
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3393.520000
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British Library STI - ELD Digital store - Ingest File:
- 15596.xml