Business jet wing design using aerodynamic shape optimization

Gallman, John W.; Reuther, James; Pfeiffer, Neal J.; Forrest, William; Bernstorf, David

doi:10.2514/6.1996-554

Cited by 14 publications

(10 citation statements)

References 6 publications

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“…The first major industrial application of an adjoint based aerodynamic optimization method was the wing design of the Beech Premier [58] in 1995. The method was successfully used in inverse mode as a tool to obtain pressure distributions favorable to the maintenance of natural laminar flow over a range of cruise Mach numbers.…”

Section: Industrial Experience and Results Of Optimizationmentioning

confidence: 99%

“…Consequently, the boundary contribution to the cost function M cannot be specified arbitrarily. Instead, it must be chosen from the class of functions which allow cancellation of all terms containing δw in the boundary integral of equation (58). On the other hand, there is no such restriction on the specification of the field contribution to the cost function P, since these terms may always be absorbed into the adjoint field equation (59) as source terms.…”

Section: Three-dimensional Design Using the Compressible Euler And Namentioning

confidence: 99%

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A perspective on computational algorithms for aerodynamic analysis and design

Jameson

2001

Progress in Aerospace Sciences

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This paper examines the use of computational fluid dynamics as a tool for aircraft design. It addresses the requirements for effective industrial use, and trade-offs between modeling accuracy and computational costs. Essential elements of algorithm design are discussed in detail, together with a unified approach to the design of shock capturing schemes. Finally, the paper discusses the use of techniques drawn from control theory to determine optimal aerodynamic shapes. In the future multidisciplinary analysis and optimization should be combined to take account of the trade-offs in the overall performance of the complete system.

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Section: Industrial Experience and Results Of Optimizationmentioning

confidence: 99%

Section: Three-dimensional Design Using the Compressible Euler And Namentioning

confidence: 99%

A perspective on computational algorithms for aerodynamic analysis and design

Jameson

2001

Progress in Aerospace Sciences

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“…The majority of work in aerodynamic shape optimisation has focused on the design of aerospace vehicles in a steady flow environment. Investigators have applied these advanced design algorithms, particularly the adjoint method, to numerous problems, ranging from the design of two-dimensional airfoils to full aircraft configurations to decrease drag, increase range and reduce sonic boom (Jameson 1989, Reuther et al 1992, Gallman et al 1996, Reuther et al 1999, Giles et al 2003, Leoviriyakit and Jameson 2004, Nemec et al 2004, Soto et al 2004, Mohammadi and Pironneau 2005, Mavriplis 2006). These problems have been tackled using many different numerical schemes on both structured and unstructured grids (Elliot and Peraire 1996, Anderson and Venkatakrishnan 1999, Nielsen et al 2004, Kim and Nakahashi 2005.…”

Section: Introductionmentioning

confidence: 99%

Convergence studies of the time accurate and non-linear frequency domain methods for optimum shape design

Nadarajah

2007

International Journal of Computational Fluid Dynamics

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This paper presents convergence studies of the time accurate and non-linear frequency domain (NLFD) methods for optimum shape design. The NLFD method provides an attractive alternative for aerodynamic shape optimisation for unsteady flows. It dramatically reduces the number of time steps required to resolve the periodic flow field. In this work, the convergence of the gradients are investigated as the number of time steps are increased to determine the required number of modes that is adequate for shape optimisation for unsteady flows. The formulation of the adjoint equations for both the time accurate and NLFD techniques are presented. The techniques are employed for the redesign of a pitching airfoil to reduce the time-averaged drag coefficient while maintaining the lift coefficient.

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“…The majority of work in aerodynamic shape optimization has focused on the design of aerospace vehicles in a steady flow environment. Investigators have applied these advanced design algorithms, particularly the adjoint method, to numerous problems, ranging from the design of two-dimensional airfoils to full aircraft configurations to decrease drag, increase range, and reduce sonic boom (Jameson 1989;Reuther et al 1992;Gallman et al 1996;Reuther et al 1999;Kasidit and Jameson 2004;Mavriplis 2006;Soto et al 2004;Giles et al 2003;Nemec et al 2004;Mohammadi and Pironneau 2005). Researchers have tackled these problems using many different numerical schemes on both structured and unstructured grids (Kim and Nakahashi 2005;Nielsen et al 2004;Elliot and Peraire 1996;Anderson and Venkatakrishnan 1999).…”

mentioning

confidence: 99%

Multi-objective aerodynamic shape optimization for unsteady viscous flows

Nadarajah

Tatossian

2008

Optim Eng

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This paper presents an adjoint method for the multi-objective aerodynamic shape optimization of unsteady viscous flows. The goal is to introduce a Mach number variation into the Non-Linear Frequency Domain (NLFD) method and implement a novel approach to present a time-varying cost function through a multi-objective adjoint boundary condition. The paper presents the complete formulation of the time dependent optimal design problem. The approach is firstly demonstrated for the redesign of a helicopter rotor blade in two-dimensional flow and in three-dimensional viscous flow, the technique is employed to validate and redesign the NASA Rectangular Supercritical Wing (RSW).

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Business jet wing design using aerodynamic shape optimization

Cited by 14 publications

References 6 publications

A perspective on computational algorithms for aerodynamic analysis and design

A perspective on computational algorithms for aerodynamic analysis and design

Convergence studies of the time accurate and non-linear frequency domain methods for optimum shape design

Multi-objective aerodynamic shape optimization for unsteady viscous flows

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