Development of a preliminary SST planform design tool using a numerical optimization routine

2001 ◽  
Author(s):  
Shin Matsumura
Keyword(s):  
Numerical Optimization ◽  
Design Tool ◽  
Optimization Routine

A Hybrid-Type Expert System for the Design of Marine Power Plants Using AI Technique and Design Optimization Method

1987 ◽  
Author(s):  
S. Akagi ◽  
T. Tanaka ◽  
H. Kubonishi
Keyword(s):  
Expert System ◽  
Design Process ◽  
Numerical Optimization ◽  
Power Plants ◽  
Optimization Method ◽  
Design Tool ◽  
Production Rules ◽  
Type Representation ◽  
Cad System ◽  
Hybrid Type

Abstract A hybrid-type expert system is developed for supporting the initial design process of marine power plants. Firstly, discussion is given generally to understand design process in the view point of applying the AI technique effectively to design. Based on the result of the discussion, a hybrid-type expert CAD system with coupling the AI technique and the numerical optimization method is developed. In the system, the design knowledge is represented in the production rules, and the data of machineries consisting the plant are described by the frame-type representation. Through the system execution, it is ascertained that the system is effective not only as the design tool assisting designers but also as the tool instructing inexperienced designers.

A Simplified Model of Desiccant Wheel and Implementation in a Design Tool

2008 ◽  
Author(s):  
Fatemeh Esfandiari Nia ◽  
Dolf van Paassen
Keyword(s):  
Design Tool ◽  
Weather Data ◽  
Physical Parameters ◽  
Transfer Model ◽  
Desiccant Wheel ◽  
New Class ◽  
Sensitivity Studies ◽  
Optimization Routine ◽  
The Given ◽  
Air Streams

A new class of heat and mass transfer model for a desiccant wheel has been presented and implemented in a design tool. Having studied the behavior of the system in different conditions and sensitivity studies, two physical parameters have been chosen to make simplified models or correlations. Using 1500 data of model solutions, two correlations have been made by an optimization routine in Matlab. These equations correlate outlet air conditions of a desiccant wheel to inlet air conditions of air streams and also the wheel and air speeds. The correlations are limited to be used only in the given range of air conditions and wheel speed. However, the range covers the practical situation that usually happens according to the weather data. The behavior of air conditions in Mollier diagram shows that the error for simulation of a typical cooling cycle to calculate supply air conditions is reduced with a factor of almost 3 times smaller. This shows that even in those ranges with low accuracy the correlations are useful. These simplified equations will be used in the design tools as has been presented in details in this paper.

Optimization of a Dynamic Model of Magnetic Actuation of an Origami Mechanism

2015 ◽  
Author(s):  
Landen Bowen ◽  
Kara Springsteen ◽  
Mary Frecker ◽  
Timothy Simpson
Keyword(s):  
Dynamic Models ◽  
Active Material ◽  
Joint Stiffness ◽  
Design Tool ◽  
Magnetic Actuation ◽  
Cost Weight ◽  
Shape Morphing ◽  
Self Assembling ◽  
Optimization Routine ◽  
Potential Use

Self-folding origami has the potential to be utilized in novel areas such as self-assembling robotics and shape-morphing structures. Important decisions in the development of such applications include the choice of active material and its placement on the origami model. With proper placement, the error between the actual and target shapes can be minimized along with cost, weight, and power requirements. Through the incorporation of dynamic models of self-folding origami mechanisms into an optimization routine, optimal orientations for magnetically-active material are identified that minimize error to specified target shapes. The dynamic models, created using Adams 2014, are refined by improvements to magnetic material simulation and more accurate joint stiffness characterization. Self-folding dynamic models of the waterbomb base and Shafer’s Frog Tongue are optimized, demonstrating the potential use of this process as a design tool for other self-folding origami mechanisms.

scholarly journals A design methodology for rotors of small multirotor vehicles

2021 ◽  
Author(s):  
Timothy B. Carroll
Keyword(s):  
Performance Prediction ◽  
Numerical Optimization ◽  
Design Tool ◽  
Operating Conditions ◽  
Optimization Scheme ◽  
Momentum Theory ◽  
Wake Interactions ◽  
Power Loading ◽  
Vortex Ring State ◽  
Blade Element

A model is presented for the aerodynamic performance prediction of fixed-pitch rotors for small unmanned aerial vehicles. The method uses a blade element momentum theory based approach that is formulated specifically for small rotors operating in hover and edgewise flight. In order to validate the model, a rotor test stand is used to measure the performance of a commercially available rotor for several inflow angles and advance ratios. The predictions agree with measurements for operating conditions excluding conditions with suspected vortex ring state. The model is incorporated into a numerical optimization scheme to demonstrate its potential as a design tool. Designs are presented that minimize the power loading for single- and multi-point operating conditions. The optimized designs have hyperbolic twist distributions, higher solidities, and operate at lower tip-speeds than existing designs. A potential flow based model is also presented to predict the wake interactions between multiple rotors in configuration.

Numerical Optimization of Axial Compressor Designs

1989 ◽  
Author(s):  
Richard M. Hearsey
Keyword(s):  
Energy Efficient ◽  
Numerical Optimization ◽  
Axial Compressor ◽  
General Electric Company ◽  
Design Point ◽  
Electric Company ◽  
High Pressure Compressor ◽  
Compressor Design ◽  
Optimization Routine ◽  
Pressure Compressor

An application of numerical optimization to axial compressor design is illustrated in this paper. A design-point efficiency model is coupled to an optimization routine to create a method of deriving designs that are optimized for efficiency. Numerous constraints, many non-linear, are applied to control parameters to which the efficiency model is insensitive, such as rotor hub choking. The High Pressure Compressor of the Energy Efficient Engine that was designed for NASA by the General Electric Company is used as a vehicle to demonstrate the potential merits of the procedure; design-point efficiency increases of several points are projected for optimized designs.

A Survey of Structural Optimization in Mechanical Product Development

2005 ◽  
Vol 5 (3) ◽  
pp. 214-226 ◽  
Author(s):  
Kazuhiro Saitou ◽  
Kazuhiro Izui ◽  
Shinji Nishiwaki ◽  
Panos Papalambros
Keyword(s):  
Product Development ◽  
Structural Optimization ◽  
Numerical Optimization ◽  
High Performance ◽  
Design Tool ◽  
Open Problems ◽  
Research Issues ◽  
The Past ◽  
Widespread Availability ◽  
Geometry Parameterization

The widespread availability of affordable high-performance personal computers and commercial software has prompted the integration of structural analyses with numerical optimization, reducing the need for design iterations by human designers. Despite its acceptance as a design tool, however, structural optimization seems yet to gain mainstream popularity in industry. To remedy this situation, this paper reviews past literatures on structural optimization with emphasis on their relation to mechanical product development, and discusses open research issues that would further enhance the industry acceptance of structural optimization. The past literatures are categorized based on their major research focuses: geometry parameterization, approximation methods, optimization algorithms, and the integration with nonstructural issues. Open problems in each category and anticipated future trends briefly are discussed.

Determining Relative Importance and Effective Settings for Genetic Algorithm Control Parameters

2015 ◽  
Vol 23 (2) ◽  
pp. 309-342 ◽  
Author(s):  
K. L. Mills ◽  
J. J. Filliben ◽  
A. L. Haines
Keyword(s):  
Genetic Algorithm ◽  
Numerical Optimization ◽  
Optimization Problems ◽  
Experiment Design ◽  
Design Tool ◽  
Relative Importance ◽  
Control Parameters ◽  
System Collapse ◽  
Costly Failure ◽  
Elite Selection

Setting the control parameters of a genetic algorithm to obtain good results is a long-standing problem. We define an experiment design and analysis method to determine relative importance and effective settings for control parameters of any evolutionary algorithm, and we apply this method to a classic binary-encoded genetic algorithm (GA). Subsequently, as reported elsewhere, we applied the GA, with the control parameter settings determined here, to steer a population of cloud-computing simulators toward behaviors that reveal degraded performance and system collapse. GA-steered simulators could serve as a design tool, empowering system engineers to identify and mitigate low-probability, costly failure scenarios. In the existing GA literature, we uncovered conflicting opinions and evidence regarding key GA control parameters and effective settings to adopt. Consequently, we designed and executed an experiment to determine relative importance and effective settings for seven GA control parameters, when applied across a set of numerical optimization problems drawn from the literature. This paper describes our experiment design, analysis, and results. We found that crossover most significantly influenced GA success, followed by mutation rate and population size and then by rerandomization point and elite selection. Selection method and the precision used within the chromosome to represent numerical values had least influence. Our findings are robust over 60 numerical optimization problems.

scholarly journals A design methodology for rotors of small multirotor vehicles

2021 ◽  
Author(s):  
Timothy B. Carroll
Keyword(s):  
Performance Prediction ◽  
Numerical Optimization ◽  
Design Tool ◽  
Operating Conditions ◽  
Optimization Scheme ◽  
Momentum Theory ◽  
Wake Interactions ◽  
Power Loading ◽  
Vortex Ring State ◽  
Blade Element

A model is presented for the aerodynamic performance prediction of fixed-pitch rotors for small unmanned aerial vehicles. The method uses a blade element momentum theory based approach that is formulated specifically for small rotors operating in hover and edgewise flight. In order to validate the model, a rotor test stand is used to measure the performance of a commercially available rotor for several inflow angles and advance ratios. The predictions agree with measurements for operating conditions excluding conditions with suspected vortex ring state. The model is incorporated into a numerical optimization scheme to demonstrate its potential as a design tool. Designs are presented that minimize the power loading for single- and multi-point operating conditions. The optimized designs have hyperbolic twist distributions, higher solidities, and operate at lower tip-speeds than existing designs. A potential flow based model is also presented to predict the wake interactions between multiple rotors in configuration.

Designing inner hood panels through a shape grammar based framework

2002 ◽  
Vol 16 (4) ◽  
pp. 273-290 ◽  
Author(s):  
JAY P. McCORMACK ◽  
JONATHAN CAGAN
Keyword(s):  
Effective Means ◽  
Design Tool ◽  
Shape Grammar ◽  
Shape Grammars ◽  
Early Stages ◽  
Optimization Routine

A framework for a design tool based on shape grammars is presented as an effective means for supporting the early stages of design. The framework uses a shape grammar interpreter to implement parametric shape grammars, allowing the grammar to be used interactively by a designer or optimization routine. A shape grammar to design inner hood panels of vehicles is introduced as an example of a parametric engineering shape grammar, and it is used with the framework to create standard and novel designs made possible by rules that take advantage of shape emergence.

scholarly journals Numerical construction of structured matrices with given eigenvalues

2019 ◽  
Vol 7 (1) ◽  
pp. 263-271
Author(s):  
Brian D. Sutton
Keyword(s):  
Eigenvalue Problem ◽  
Constrained Optimization ◽  
Numerical Optimization ◽  
Optimization Problem ◽  
Symmetric Matrix ◽  
Inverse Eigenvalue Problem ◽  
Constrained Optimization Problem ◽  
The Matrix ◽  
Inverse Eigenvalue ◽  
Optimization Routine

Abstract We consider a structured inverse eigenvalue problem in which the eigenvalues of a real symmetric matrix are specified and selected entries may be constrained to take specific numerical values or to be nonzero. This includes the problem of specifying the graph of the matrix, which is determined by the locations of zero and nonzero entries. In this article, we develop a numerical method for constructing a solution to the structured inverse eigenvalue problem. The problem is recast as a constrained optimization problem over the orthogonal manifold, and a numerical optimization routine seeks its solution.

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