Development of an Automated Preliminary Combustion Chamber Design Tool

2006 ◽  
Author(s):  
Nima Pegemanyfar ◽  
Michael Pfitzner ◽  
Ruud Eggels ◽  
Ralf von der Bank ◽  
Marco Zedda
Keyword(s):  
Combustion Chamber ◽  
Design Methodology ◽  
Design Tool ◽  
Design Parameters ◽  
Design System ◽  
Engineering System ◽  
Cad Model ◽  
Preliminary Design ◽  
Design Rules ◽  
Knowledge Based

The preliminary design of a new combustion chamber requires the combination of many elements of know-how in terms of combustor design rules, aerothermal calculations and preliminary design tools. To use this knowledge more efficiently pre-competitive work on an automated knowledge-based combustor design methodology is done within the European project INTELLECT D.M. (Integrated Lean Low Emission Combustor Design Methodology) in order to set up a KBE (Knowledge Based Engineering) system. In the method presented here, the rules and calculation routines are implemented into an automated preliminary design system using an Excel-driven database to generate a parametric Unigraphics CAD model. The utilized design rules represent state-of-the-art combustor design and will be extended later by lean combustion design rules, which are currently developed within INTELLECT D.M.. The database contains all design parameters and rules to provide CAD, CFD and optimization tools with the required information. Based on a set of performance parameters the system automatically generates the parametric geometry of a combustor containing the liners with cooling devices (optionally Z-ring or effusion cooling) and mixing holes, heat shield, cowl, casings and (pre)diffusor. To estimate the required cooling air, one-dimensional heat transfer equations including convection, radiation and conduction are solved. The generated CAD model visualizes the calculated combustor geometry and forms the basis for an automated CFD mesh generation utilizing the grid generator ICEM CFD.

State-of-the-Art Combustor Design Utilizing the Preliminary Combustor Design System PRECODES

2008 ◽  
Author(s):  
Nima Pegemanyfar ◽  
Michael Pfitzner
Keyword(s):  
Combustion Chamber ◽  
Design Process ◽  
State Of The Art ◽  
Design System ◽  
Preliminary Design ◽  
Residence Times ◽  
Design Phase ◽  
Post Processing ◽  
Design Rules ◽  
Chamber Design

Advanced state-of-the-art gas turbine combustion chamber design requires a multitude of design rules and parameters using a large number of empirical correlations. In order to allow for a more effective use of this knowledge, the preliminary combustor design system PRECODES was developed in the framework of the European research project INTELLECT D.M. (INTEgrated Lean Low Emission CombusTor Design Methodology). The development of PRECODES has already been described by the authors in previous ASME papers [1], [2]. This paper is focused on the results achieved by the application of the system and the demonstration of its potential regarding an automated combustion chamber design. Since the preliminary design of the combustor is performed and optimized fully automatically by the system, the evaluation and comparison of a much higher number of combustor configurations is possible compared to using a manual design process. Moreover detailed CFD analysis is no more limited to the final design phase, but can now be performed early during the preliminary design phase. The CFD results allow for a detailed postprocessing, to check whether all requirements, as derived from the design rules by correlations are satisfied by the configuration (e.g. zonal air/fuel ratios, residence times). The iterative combustor design process loop, as described by the authors in the previous papers [1], [2] has been closed. New, improved combustor design rules have been derived providing a sophisticated combustor design. Different preliminary combustor configurations are produced by the system on the basis of varying performance parameters and geometric requirements, resulting in a variation of the combustor volume, mixing holes sizes and application of different types of mixing holes required to meet the zonal stoichiometries. Some of the configurations have been analysed and compared more specifically using the detailed post-processing capability. An overview of this detailed post-processing analysis and of the data comparison is given in the paper. A promising configuration has been obtained with respect to NOx and CO emissions, at the same time ensuring sufficient residence times for both relight and combustion efficiency requirements.

Automated CFD Analysis Within the Preliminary Combustor Design System PRECODES Utilizing Improved Cooling Models

2007 ◽  
Author(s):  
Nima Pegemanyfar ◽  
Michael Pfitzner ◽  
Marco Surace
Keyword(s):  
Combustion Chamber ◽  
Design Process ◽  
Mesh Generation ◽  
Design Tool ◽  
Design System ◽  
Generic Model ◽  
Cfd Simulations ◽  
Design Rules ◽  
Flame Tube ◽  
Chamber Design

The design of state-of-the-art combustion chambers is based on a multitude of design rules. To use this knowledge more effectively and to accelerate the combustor design process an automated combustion chamber design tool is being developed within the European project INTELLECT D.M. (Integrated Lean Low Emission Combustor Design Methodology). Due to the automation of the design process the time required to set up a new preliminary combustion chamber design is reduced from weeks to hours. The development of the automated preliminary combustor design tool is described in [1]. The focus of this paper is on new developments of the design system PRECODES (preliminary combustor design system) including automated mesh generation and CFD simulation. Design rules and parameters are formalized and stored within an EXCEL database. The combustor layout process including the calculations of cooling air mass flows and the zonal layout is done automatically using this database. The layout process has to be iteratively adjusted in order to find an optimal design due to the nonlinear interdependence of some of the design variables. The EXCEL database provides information for two parametric CAD models. The first parametric model includes the flame tube, pre-diffuser, cowl, metering panel, heatshield and the casing. Therefore it is relatively complex and only used for weight approximation and visualization purposes. The second CAD model is a generic model of the flame tube providing the basis for the automatic CFD mesh generation and CFD simulations. The CAD geometry is transferred to the commercial grid generator ICEM-CFD via the ICEM internal direct CAD interface. Based on the CAD geometry a multiblock structured mesh is generated automatically. Due to the utilization of the same blocking master model for different flame tubes varying in combustor size and orientation, and size and position of the mixing holes the mesh topology differs only marginally between different designs. Thus the CFD simulations are well comparable. Different combustor configurations are generated based on input parameter changes, i.e. changing the pressure level, the zonal stoichiometry or the maximum allowable material temperatures. An overview of the present results and the potentials of applying the automated combustor design tool PRECODES is presented.

An Intelligent Design System for Agile Design and Manufacturing of Mechanical Transmission Systems

2003 ◽  
Author(s):  
El-Sayed Aziz ◽  
C. Chassapis
Keyword(s):  
Process Design ◽  
Intelligent Design ◽  
Design Parameters ◽  
Design System ◽  
The Internet ◽  
Mechanical Transmission ◽  
Transmission Systems ◽  
Knowledge Based ◽  
The World ◽  
Design And Manufacturing

Product development is a process with complicated procedures, which incorporate many aspects of knowledge, experience and teamwork. Specifically, mechanical system design requires an iterative process to determine the desired component design parameters that would satisfy kinematic, performance and manufacturability requirements, which would result in an efficient and reliable operation of speed reduction units. This article describes an approach towards the development of intelligent design support environments for mechanical transmission systems, along with implementation details of a distributed knowledge-based gearing design and manufacturing system that is deployed over the Internet. The system embodies the various tasks of the design process, with modules that address: performance evaluation, process optimization, manufacturability analysis, and provides reasoning and decision-making capabilities for reducing the time between gear tooth creation, detailed design and final production. This methodology is highly desirable in that it is able to simulate real working conditions, evaluate and optimize the design effectively, prevent designers from time-consuming iterations and reduce long and expensive test phases. In an application example relating to process design of a forged gearing system, once a successful power rating is achieved within the design environment through FEA based techniques, the system automatically feeds input parameters into the manufacturing module which carries out all process design and planning stages. Estimation of the number of preforming stages, generation of detail die drawings, and forging load and energy requirements are calculated based on available material design databases, knowledge-based rules and feature-level calculations. Utilization of the World Wide Web, as a medium for the implementation of gear design and its agile manufacturing over the Internet is also being demonstrated. A combination of HTML, JavaScript, VRML, CGI Script and C++ based procedures is used to bring this capability to users distributed anywhere in the world. With the above developments, the problems of experience and expertise for the designers are overcome and unexpected design iterations that cause wastage of engineering time and effort, are avoided. The environment can be easily enhanced with other types of gearing systems.

scholarly journals An Intelligent/Learning Axial Fan Design System

1991 ◽  
Author(s):  
Dennis G. Jackson ◽  
Terry Wright
Keyword(s):  
Design Process ◽  
Design Parameters ◽  
Design System ◽  
Preliminary Design ◽  
Axial Fan ◽  
Design Program ◽  
Current Design ◽  
Computer Based ◽  
Refinement Process ◽  
Blade Element

A computer-based axial fan design system has been developed that allows the designer to rapidly obtain a preliminary axial fan design. Program FANDES allows the designer two options to determine the preliminary design parameters for a single-stage axial fan. The first option allows the designer the ability to design an axial fan using conventional blade-element design techniques. The second option enables the designer to search a database of previously designed fans for a set of scaled fans that will satisfy the current design point requirements. The designer can then refine one of the fans in this set to possibly improve the selected fan’s performance. The database of fans is utilized and maintained by FANDES and new fans are added at the user’s request. This allows for an intelligent program that is constantly learning from previous designs. As more fans are designed and saved to the database the design process becomes more of a selection and refinement process of previously designed fans.

Simulation of CO Emission in Primary and Secondary Zone of a Small Gas Turbine Combustion Chamber Using CFD and Reactors Network

2019 ◽  
Author(s):  
Ivan A. Zubrilin ◽  
Nikita I. Gurakov ◽  
Alexander S. Semenikhin ◽  
Oleg V. Kolomzarov ◽  
Sergey G. Matveev ◽  
...  
Keyword(s):  
Combustion Chamber ◽  
Residence Time ◽  
Equivalence Ratio ◽  
Pollutant Emissions ◽  
Design Stage ◽  
Design Parameters ◽  
Preliminary Design ◽  
Environmental Characteristics ◽  
Preliminary Design Stage ◽  
Secondary Zone

Abstract In this paper the influence of various parameters of the primary and secondary zones of a small-sized combustion chamber on its environmental characteristics was studied. The study of the environmental characteristics of the combustion chamber was carried out in two ways. The first method consisted of two steps. The first step was a 3D simulation of combustion processes using FGM combustion model. The second step was based on results of the first step using reactors network implemented in the ANSYS Fluent 18.2 software. The construction of the reactors network in this approach occurred automatically according to a temperature and mixture fraction. The number of reactors in the result was about 500. The second method was a simple model of a reactors network in which the primary zone was simulated by a perfectly stirred reactor, and the secondary zone was a plug flow reactor. Methane was used as a fuel. The influence of the residence time of the mixture and fuel-air equivalence ratio in each zone on the emission of CO and NOx at the combustion chamber exit was studied. The residence time and fuel-air equivalence ratio for the first method were changed using the design parameters of the combustion chamber. For a simple reactors network, these parameters are set as input data, so this method can be used at the preliminary design stage. As a result of the work, a method was obtained that allows to find the parameters of the primary and secondary zones of the combustion chamber in order to minimize pollutant emissions at the preliminary design stage.

KADS2: A Next Generation Knowledge Aided Design System

1997 ◽  
Author(s):  
William M. McVea ◽  
Kamyar Haghighi
Keyword(s):  
Design Methodology ◽  
System Development ◽  
Design System ◽  
Component Level ◽  
Design Synthesis ◽  
Work Related ◽  
Knowledge Based ◽  
Aided Design ◽  
Use Of Knowledge ◽  
Knowledge Based Design

Abstract Research has been conducted in the areas of design methodology, automation and use of knowledge based systems as a tool to improve the design efficiency, accuracy and consistency for mechanical power transmissions. The research capitalized on previous work related to component level design synthesis and analysis. The next logical step in the research progression was to look into system development and integration of design synthesis and analysis tools. Deliverables from this research include new knowledge acquisition techniques, a more complete model of design information flow and development and a knowledge based design assistant system, capable of integrating multiple discrete and disparate design tools.

A Turbomachinery Design Tool for Teaching Design Concepts for Axial-Flow Fans, Compressors, and Turbines

2010 ◽  
Vol 133 (3) ◽  
Author(s):  
Mark G. Turner ◽  
Ali Merchant ◽  
Dario Bruna
Keyword(s):  
Angular Momentum ◽  
Axial Flow ◽  
Design Tool ◽  
Design Parameters ◽  
Design System ◽  
Physical Parameters ◽  
Cross Sectional ◽  
Design Concepts ◽  
Stage Matching ◽  
Turbomachinery Design

A new turbomachinery design system, T-AXI, is described and demonstrated. It is intended primarily for use by educators and students, although it is sophisticated enough for actual designs. The codes, example cases, and user’s manual are available through the authors’ websites. The design system can be used to design multistage compressors and turbines from a small number of physical design parameters. Students can understand the connection between these physical parameters such as the Mach number and flow angles to the cross sectional area and angular momentum. There is also a clear connection between the angular momentum, work, and blade loadings. Loss models are built-in and results are compared against tested geometries. The code also has a built-in blade geometry generator, and the geometry can be the output for running the MISES blade-to-blade solver on each section or visualizing the blades. A single stage compressor from the U.S. Air Force Stage Matching Investigation rig, the 10 stage NASA/GE EEE high pressure compressor, and the NASA/GE EEE 5 stage low pressure turbine have been used to validate T-AXI as a design tool.

A Knowledge-Based Approach to Preliminary Design of Structures

1990 ◽  
Vol 112 (4) ◽  
pp. 213-219 ◽  
Author(s):  
J. Fleming ◽  
E. Elghadamsi ◽  
M. Tanik
Keyword(s):  
Design Tool ◽  
Design Stage ◽  
Preliminary Design ◽  
Knowledge Based ◽  
Preliminary Design Stage ◽  
Design Loads ◽  
Computer Based ◽  
And Performance ◽  
Optimum Solution ◽  
Use Of Knowledge

Computers have been used extensively for the analysis, detailed design and drawing production of structures. However, they have not been utilized effectively in the preliminary design stage. During this stage, the structural framing schemes that are likely to offer an optimum solution for the given design constraints are identified. Once an appropriate framing scheme is selected, an analytical model which requires initial member sizes is developed to investigate the behavior and performance of the structure under the design loads. An engineer may have to perform an approximate analysis to select the preliminary member sizes; however, experienced engineers may be able to make a reasonable estimate of the required sizes using their past experience with similar structures. A prototype computer-based design tool that utilizes past engineering experience for selecting initial member sizes of structures has been developed and is described in this paper. This tool is applicable to the design of various types of structures through the use of knowledge base techniques.

Reliability and Robustness Based Design Attributes for Multi-Criteria Decision Making

2013 ◽  
Author(s):  
Vedran Žanić ◽  
Karlo Pirić ◽  
Stanislav Kitarović
Keyword(s):  
Design Methodology ◽  
Structural Model ◽  
Design Procedure ◽  
Design Parameters ◽  
Design System ◽  
Concept Design ◽  
Design Attributes ◽  
Standard Design ◽  
Reliability And Robustness ◽  
Panel Design

Novel design methodology with inclusion of reliability and robustness-based design criteria is presented. Robustness is defined as the insensitivity of a design attribute to uncontrollable design parameters. The developed design procedure for the concept design phase is divided into two basic, coordinated tasks: (1) multi-criteria topology/geometry optimization of the ship structural model; (2) scantlings / material multi-criteria optimization of structural panels. Reliability criteria and robustness of design attributes are applied as relative measures of quality, besides standard design attributes such as costs and weight. They are used in generation of Pareto-optimal design variants. Reliability attributes used for the panel design are compared with respect to fidelity and computational efficiency. A novel method for fast reliability calculations is presented using dimension reduction method (DRM) as implemented into FASTREL software. The method is verified with respect to accuracy and speed on the box girder design and panel design with CalREL methods (MC, FORM). The design procedure steps are executed in the predefined sequence of design sub-problems, using the fast and balanced collection of analysis and synthesis modules/methods of the MAESTRO/OCTOPUS design system. They are as follows: • Probabilistic determination of design loads; • Calculation of the structural serviceability and ultimate strength criteria on the panel (macro-element) level; • Calculation of the cross section ultimate longitudinal strength criterion; • Calculation of reliability and robustness measures on the panel level (safety) and on the global level. Other design attributes (initial cost, structural weight, etc.) are also determined; • Generation of the Pareto frontier for the selected test structure based upon the cost–safety design paradigm; • Generation of insight into the multilevel optimization process with graphic presentation of designs in design and attribute spaces. Practical application of the developed concept design methodology and of the design environment to the structural design of modern multi-deck ship elements (panels) is presented for verification/validation of accuracy and speed of FASTREL module.

A Determination Method of Product Design Parameters with Interval Constraint

2009 ◽  
Vol 419-420 ◽  
pp. 245-248
Author(s):  
Zhi Gang Li ◽  
Ling Ling Li ◽  
Jun Gang Zhou ◽  
Jing Zheng Liu
Keyword(s):  
Product Design ◽  
Intelligent System ◽  
Evidence Theory ◽  
Limited Range ◽  
Design Parameters ◽  
Determination Method ◽  
Design Rules ◽  
The Past ◽  
Knowledge Based ◽  
Interval Constraint

There are some undetermined parameters that can be get values only in a certain range about products and other objects in the product design rules and calculations. The parameters to be determined are usually affected by many factors and constraints, which are often bound with fuzzy. The problem is solved in the past usually by the designer getting values of undetermined parameters in a limited range based on their experiences. That is inevitable to deal with subjectivity. Two algorithms about solving undetermined parameters are proposed based on evidence theory and fuzzy comprehensive decision-making methods in this paper. The algorithm is as a reasoning method applied in a knowledge-based intelligent system.

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