New family of passenger friendly commercial air transports

Brown, Robert B. K.; Swihart, John M

doi:10.2514/6.2001-1135

Cited by 5 publications

(6 citation statements)

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“…Brown et al [16]. In this research, the growth rate of the aircraft market was predicted with the needs of economy passenger being considered.…”

Section: Figure 13 Airplane Criteria Process (Acp)mentioning

confidence: 95%

Integrated uncertainty techniques in aircraft derivative design optimization.

Park¹

2021

Preprint

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Aircraft manufacturing companies have to consider multiple derivatives to satisfy various market requirements. They modify or extend an existing aircraft to meet the new market demands while keeping the development time and the cost to a minimum. Many researchers have studied the derivative design process, but these research considered the baseline and the derivatives together, while using the whole set of design variables. Therefore, an efficient process that can reduce the cost and the time for the aircraft derivative design is needed. In this dissertation, Aircraft Derivative Design Optimization process (ADDOPT) was developed which obtains the global changes from the local changes in the aircraft design to develop the aircraft derivatives efficiently. The sensitivity analysis was implemented to ignore design variables that have low impact on the objective function. This avoids wasting computational effort and time on low priority variables for design requirements and objectives. Additionally, the classification of uncertainty from its characteristics and sources of uncertainty involved in the aircraft design process were suggested to consider with design optimization. Uncertainty from the fidelity of analysis tools was applied in design optimization to increase the probability of optimization results. To handle uncertainty in low fidelity analysis tools on aircraft conceptual design optimization, Reliability Based Design Optimization (RBDO) and Possibility Based Design Optimization (PBDO) methods were performed. In this research, Extended Fourier Amplitude Sensitivity Test (eFAST) method was implemented in ADDOPT for Global Sensitivity Analysis (GSA) method and Collaborative Optimization (CO) based framework with RBDO and PBDO were also used. These methods were evaluated using numerical examples. ADDOPT was carried through on the civil jet aircraft derivative design. The objective of the optimization problem was to increase cruise range while satisfying the requirement such as the number of passengers. The proposed process reduced computation effort by reducing the number of design variables and achieved the target probability of failure when considering uncertainty from low fidelity analysis tools.

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“…Brown et al [16]. In this research, the growth rate of the aircraft market was predicted with the needs of economy passenger being considered.…”

Section: Figure 13 Airplane Criteria Process (Acp)mentioning

confidence: 95%

Integrated uncertainty techniques in aircraft derivative design optimization.

Park¹

2021

Preprint

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“…The stability analysis module calculates stability criteria such as the static margin, dihedral effect, yaw stiffness, frequency and damping ratio of short period, and frequency and damping ratio of Dutch roll. Equations (5) through (11) define this criteria respectively (31) . SM is the static margin, x n is the neutral point, is the location of the aircraft's Centre of gravity, and is the wing mean aerodynamic chord.…”

Section: Aircraft Derivative Designmentioning

confidence: 99%

“…As a consequence, many researchers have studied aircraft derivative and aircraft family design methods (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17) . Richard et al, Reinhold, Robert et al, and Deepak et al utilized market requirement analysis to identify the important criteria for derivative design and considered altering constraints for the design problem (2)(3)(4)(5)(6) . Jonathan et al identified the candidate product family members from the generation of a Pareto frontier (7,8) .…”

Section: Introductionmentioning

confidence: 99%

Uncertainty based aircraft derivative design for requirement changes

Park

Chung

Neufeld³

2016

Aeronaut.j.

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Aircraft manufacturers often consider producing multiple derivatives of aircraft to satisfy various market demands and technical changes while keeping development costs and time to a minimum. Many approaches have been proposed for carrying out derivative design. However, these approaches consider both the baseline design and derivatives together at the conceptual design stage using the entire set of design variables with an assumed set of expected requirements. These frozen requirements on derivative design cannot consider new demands from market changes. In this paper, a method is proposed that uses design optimisation for conceptual design of derivatives for existing aircraft that consider requirement changes. Furthermore, the Possibility-Based Design Optimisation (PBDO) method was implemented to consider uncertainty in the aircraft operation phase. The altitude range of aircraft operation was defined as an uncertain parameter to prevent violation of constraints in the entire operating envelope of the aircraft. The PBDO method yields a more conservative design than those obtained with deterministic design optimisation.In this paper, the proposed derivative design process was applied to the Expedition 350, a small piston engine powered aircraft produced by Found Aircraft, Canada. A derivative that changes the normally aspirated engine to a turbocharged engine for high-altitude operation was considered. An optimum configuration with the new engine was obtained while enhancing performance and stability characteristics. The proposed derivative design process can be implemented on the derivative design of other aircraft.

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“…Researches of R. Hibma (1981) 2006) identified the most important criteria for derivative designs using market requirement analysis. These researches considered altering constraints for the design problem [9,10,11,12,13]. J.D.…”

Section: Derivative Design Processmentioning

confidence: 99%

Enhance Derivative Design Considering Global Sensitivity of Design Parameters

Park

Behdinan

Chung

et al. 2013

PCEEA

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An engineering product design considers derivatives to reduce the life cycle cost and to increase the efficiency on operation when it has new demands. The proposed design process in this study obtains derivative designs based on sensitivity of design variable. The efficiency and accuracy of the derivative design process can be enhanced by implementing global sensitivity analysis. Sensitivity analysis sensors the design variables accordingly and variables with low sensitivity for objective function can be neglected, since computational effort and time is not necessary for a design with less priority. In this research, e-FAST method code for global sensitivity analysis module was developed and implemented on Multidisciplinary Design Optimization (MDO) problem. The wing design was considered for MDO problem that used aerodynamics and structural disciplines. The global sensitivity analysis method was applied to reduce the number of design variables and Collaborative Optimization (CO) was used as MDO method. This research shows the efficiency of reduction of dimensionality of complex MDO problem by using global sensitivity analysis. In addition, this result shows important design variables for design requirement to student when they solving design problem.

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New family of passenger friendly commercial air transports

Cited by 5 publications

References 0 publications

Integrated uncertainty techniques in aircraft derivative design optimization.

Integrated uncertainty techniques in aircraft derivative design optimization.

Uncertainty based aircraft derivative design for requirement changes

Enhance Derivative Design Considering Global Sensitivity of Design Parameters

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