Title:
Transforming Aerodynamic Datasets into Parametric Equations for use in Multi-disciplinary Design Optimization
Transforming Aerodynamic Datasets into Parametric Equations for use in Multi-disciplinary Design Optimization
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Scott, Jeffery M.
Olds, John R.
Olds, John R.
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Abstract
This paper presents a method of transforming aerodynamic datasets generated in Aerodynamic Preliminary Analysis System (APAS) into parametric equations which may subsequently be used in a multidisciplinary design optimization (MDO) environment for analyzing aerospace vehicles.
APAS is an analysis code which allows the user to create a simple geometric model of a vehicle and then calculate the aerodynamic force coefficients of lift, drag, and pitching moment over a wide range of flight conditions. As such, APAS is a very useful tool for conceptual level vehicle designs since it allows the force coefficients for a given design to be calculated relatively quickly and easily.
However, APAS suffers from an outdated user interface and, because it is tedious to generate a new dataset during each design iteration, it is quite difficult to integrate into an MDO framework. Hence the desire for a method of transforming the APAS output into a more usable form.
The approach taken and described in this paper involves the use of regression analysis techniques and response surface methodology to accomplish the data transformation with two goals in mind. The first goal was to develop a parametric model for calculating the aerodynamic coefficients for a single unique geometry. The second goal was to extend this model to capture the effects of changes in vehicle geometry. This paper presents the results and gives the model developed for analyzing a sample vehicle for both cases.
This paper presents a method of transforming aerodynamic datasets generated in Aerodynamic Preliminary Analysis System (APAS) into parametric equations which may subsequently be used in a multidisciplinary design optimization (MDO) environment for analyzing aerospace vehicles. APAS is an analysis code which allows the user to create a simple geometric model of a vehicle and then calculate the aerodynamic force coefficients of lift, drag, and pitching moment over a wide range of flight conditions. As such, APAS is a very useful tool for conceptual level vehicle designs since it allows the force coefficients for a given design to be calculated relatively quickly and easily. However, APAS suffers from an outdated user interface and, because it is tedious to generate a new dataset during each design iteration, it is quite difficult to integrate into an MDO framework. Hence the desire for a method of transforming the APAS output into a more usable form. The approach taken and described in this paper involves the use of regression analysis techniques and response surface methodology to accomplish the data transformation with two goals in mind. The first goal was to develop a parametric model for calculating the aerodynamic coefficients for a single unique geometry. The second goal was to extend this model to capture the effects of changes in vehicle geometry. This paper presents the results and gives the model developed for analyzing a sample vehicle for both cases.
This paper presents a method of transforming aerodynamic datasets generated in Aerodynamic Preliminary Analysis System (APAS) into parametric equations which may subsequently be used in a multidisciplinary design optimization (MDO) environment for analyzing aerospace vehicles. APAS is an analysis code which allows the user to create a simple geometric model of a vehicle and then calculate the aerodynamic force coefficients of lift, drag, and pitching moment over a wide range of flight conditions. As such, APAS is a very useful tool for conceptual level vehicle designs since it allows the force coefficients for a given design to be calculated relatively quickly and easily. However, APAS suffers from an outdated user interface and, because it is tedious to generate a new dataset during each design iteration, it is quite difficult to integrate into an MDO framework. Hence the desire for a method of transforming the APAS output into a more usable form. The approach taken and described in this paper involves the use of regression analysis techniques and response surface methodology to accomplish the data transformation with two goals in mind. The first goal was to develop a parametric model for calculating the aerodynamic coefficients for a single unique geometry. The second goal was to extend this model to capture the effects of changes in vehicle geometry. This paper presents the results and gives the model developed for analyzing a sample vehicle for both cases.
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Date Issued
1998-10
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