Automated design of a three dimensional subsonic diffuser

2000 ◽  
Author(s):  
Weili Zhang ◽  
Doyle Knight ◽  
Don Smith
Keyword(s):  
Three Dimensional ◽  
Automated Design ◽  
Subsonic Diffuser

Automated Design of a Three-Dimensional Subsonic Diffuser

2000 ◽  
Vol 16 (6) ◽  
pp. 1132-1140 ◽  
Author(s):  
Wei-Li Zhang ◽  
Doyle D. Knight ◽  
Don Smith
Keyword(s):  
Three Dimensional ◽  
Automated Design ◽  
Subsonic Diffuser

Automated Design Optimization of a Three-Dimensional Subsonic Diffuser

2011 ◽  
Vol 27 (4) ◽  
pp. 838-846 ◽  
Author(s):  
Aniket Aranake ◽  
Jin Gyu Lee ◽  
Doyle Knight ◽  
Russell M. Cummings ◽  
John Cox ◽  
...  
Keyword(s):  
Design Optimization ◽  
Three Dimensional ◽  
Automated Design ◽  
Subsonic Diffuser

Towards Automated Design of the Feed System of Injection Molds by Integrating CAE, Iterative Redesign and Features

1995 ◽  
Vol 117 (1) ◽  
pp. 72-77 ◽  
Author(s):  
R. K. Irani ◽  
B. H. Kim ◽  
J. R. Dixon
Keyword(s):  
Three Dimensional ◽  
Automated Design ◽  
Design System ◽  
Mold Design ◽  
Performance Parameters ◽  
Feed System ◽  
Design Variables ◽  
Runner Design ◽  
Prototype Software

A prototype software system that automatically designs the gating and runner systems, which comprise the feed system, of injection molds is described. The system, called AMDS (Automated Mold Design System), integrates CAE, with iterative redesign and knowledge stored in a features representation of the part. Gating design involves the generation of the best gating configuration represented by number, location, and type of gates, and the determination of the best conditions under which plastic should enter through the gates. Runner design also involves the generation of a runner layout followed by the sizing of the runner segments. The design of both systems is iterative, whereby the design variables are changed, the new design analyzed, evaluated, and redesigned if necessary, until an acceptable design is obtained. The evaluation of the gating design is based on eighteen performance parameters, while the evaluation of the runner system is based on four performance parameters. The system has been tested on three-dimensional parts made up of planar rectangular wall features with holes as add-on features.

scholarly journals The Functional Models of System of the Automated Design of the Railroads on the Basis of Use of Three-dimensional Terrain Models

2016 ◽  
Vol 165 ◽  
pp. 1873-1879
Author(s):  
Vladimir Anisimov ◽  
Kseniia Malykh ◽  
Aleksandr Anisimov ◽  
Arkadii Edigarian
Keyword(s):  
Three Dimensional ◽  
Automated Design ◽  
Terrain Models ◽  
Functional Models

Shape Grammar Approaches in Architecture

2020 ◽  
pp. 19-55
Keyword(s):  
Design Automation ◽  
Architectural Design ◽  
Three Dimensional ◽  
Automated Design ◽  
Shape Grammar ◽  
Shape Grammars ◽  
Recent Trends ◽  
Generative Algorithms ◽  
Shape Descriptions ◽  
The Relationship

This chapter reviews emerging Shape Grammar research, categorising it into three themes: design analysis and generation, automated design and generative algorithms, and algebraic Shape Grammars. The first theme consists of theoretical Shape Grammar approaches, two-dimensional architectural design, three-dimensional architectural design, urban design, and design in art and engineering. The second theme addresses four alternative perspectives to grammatical approaches based on design automation, procedural modelling, genetic algorithms, and other algorithmic generation and evaluation methods. The last theme examines research using algebraic shape descriptions and operations. The purpose of this chapter is to provide a critical summary of recent trends in Shape Grammar research and an overview of the relationship between grammatical and generative systems in architecture.

Shape Optimisation of Axial Fan Blades Using Genetic Algorithms and a 3D Navier-Stokes Solver

2006 ◽  
Author(s):  
O. Lotfi ◽  
J. A. Teixeira ◽  
P. C. Ivey ◽  
I. R. Kinghorn ◽  
A. G. Sheard
Keyword(s):  
Genetic Algorithm ◽  
Thickness Distribution ◽  
Three Dimensional ◽  
Automated Design ◽  
Navier Stokes ◽  
Shape Optimisation ◽  
Axial Fan ◽  
Optimization Task ◽  
Blade Thickness ◽  
Fan Blade

The paper describes the development of an automated design process which was developed to aerodynamically optimise an industrial fan blade geometry taking account of the predicted three dimensional flow. The optimiser employs a genetic algorithm for global optimisation purposes and is coupled to the academic Navier-Stokes solver MULTIP. The optimization task is accomplished by modifying the blade camber line, lean and sweep while keeping the blade thickness distribution and mass flow rate, constant. A number of different configurations have been studied and the behaviour of genetic algorithm tested. Specific interfaces were developed in order to link the optimization code, the automatic grid generator STAGEN, utilised to define the computational meshes, and the three-dimensional Navier-Stokes solver within an automated design loop. The results obtained show that the genetic algorithm when coupled to a CFD tool is not only capable of achieving an improvement in the designs of existing axial fan blades effectively but also that they achieve these results with a minimum amount of user expertise.

PipeSynth: An Algorithm for Automated Topological and Parametric Design and Optimization of Pipe Networks

2011 ◽  
Author(s):  
William R. Patterson ◽  
Matthew I. Campbell
Keyword(s):  
Parametric Design ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Optimization Methods ◽  
Automated Design ◽  
Design And Optimization ◽  
Fluid Network ◽  
Fluid Networks ◽  
Fluid Properties ◽  
Gradient Based

This paper describes a design automation approach that combines various optimization research and artificial intelligence methods for synthesizing fluid networks. Unlike traditional software tools available today, this approach does not rely on having any predefined network topology to design and optimize its networks. PipeSynth generates its designs by using only desired port locations, and the desired fluid properties at each of those ports. An ideal network is found by optimizing the number and connectivity of pipes and pipe fittings, the size and length of each pipe, and the size and orientation of each fitting. A Uniform-Cost-Search is used for topology optimization along with a combination of non-gradient based optimization methods for parametric optimization. PipeSynth demonstrates how advances in automated design can enable engineers to manage much more complex fluid network problems. PipeSynth uses a unique representation of fluid networks that synthesizes and optimizes networks one pipe at a time, in three-dimensional space. PipeSynth has successfully solved several problems containing multiple interlaced networks concurrently with multiple inputs and outputs. PipeSynth shows the power of automated design and optimization in producing solutions more effectively and efficiently than traditional design approaches.

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