A Free Open-Source Spacecraft Thermal Analysis Software Package

Total Page:16

File Type:pdf, Size:1020Kb

A Free Open-Source Spacecraft Thermal Analysis Software Package THERMAL FREETOP A FREE OPEN-SOURCE SPACECRAFT THERMAL ANALYSIS SOFTWARE PACKAGE __________________________ A Thesis Presented to the Faculty of the College of Science Morehead State University _________________________ In Partial Fulfillment of the Requirements for the Degree Master of Science _________________________ by Yu Tso April 30, 2018 ProQuest Number:10816661 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. ProQuest 10816661 Published by ProQuest LLC ( 2018). Copyright of the Dissertation is held by the Author. All rights reserved. This work is protected against unauthorized copying under Title 17, United States Code Microform Edition © ProQuest LLC. ProQuest LLC. 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, MI 48106 - 1346 Accepted by the faculty of the College of Science, Morehead State University, in partial fulfillment of the requirements for the Master of Science degree. ____________________________ Jeffrey A. Kruth Director of Thesis Master’s Committee: ________________________________, Chair Dr. Charles D. Conner _________________________________ Dr. Benjamin K. Malphrus _________________________________ Kevin Z. Brown ________________________ Date THERMAL FREETOP A FREE OPEN-SOURCE SPACECRAFT THERMAL ANALYSIS SOFTWARE PACKAGE Yu Tso Morehead State University, 2018 Director of Thesis: __________________________________________________ Jeffrey A. Kruth Thermal management is crucial to spacecraft design in that most of the subsystems are electronic devices, and electronic devices need to work in a specific temperature range to assure the performance. To meet the requirements of spacecraft thermal management, the engineers always need a convenient and useful tool to assist with the design process. Thermal Freetop is an outstanding fit for this purpose. Thermal Freetop is a finite element thermal analysis package with the similar interfaces and same functions as those of Thermal Desktop[1], a commercial spacecraft thermal management software tool,and Thermal Freetop is based on the open source software such as FreeCAD, Salome, Paraview, 42, GMAT, ElmerSolver and ElmerGrid. Accepted by: ______________________________, Chair Dr. Charles D. Conner ______________________________ Dr. Benjamin K. Malphrus ______________________________ Kevin Z. Brown To my families and my friends. Contents 1 Executive Summary 1 2 Introduction 2 3 Relevant Technical Issues 4 4 Design Tradeoffs 5 5 Design Implementations 6 5.1 FreeCAD: The Main Frame of Thermal Freetop and the CAD Software . .6 5.2 GMAT and 42: The Trajectory Simulation Software . .7 5.3 Salome: The Preprocessor . .9 5.4 ElmerSolver: The Finite Elment Solver . 11 5.5 Paraview: The Postprocessor . 16 6 Results 19 7 Conclusion and Recommendations 20 8 Partial Differential Equation Form of Heat Conduction in Cartesian Co- ordinate System 21 8.1 Purposes of Finite Element Method (FEM) . 21 8.2 Derivation of Heat Conduction Equations . 21 8.3 The One-Dimensional and Steady-State Heat Conduction Equation without Heat Generated . 23 vii 8.4 An Example of Solving One-Dimensional and Steady-State Heat Conduction 24 8.5 Example 01: A Single Bar with Heat Flux on the Bottom Side and Fixed Temperature on the Top Side as Boundary Conditions(BCs) . 26 8.5.1 Solving Example 01 with Thermal Freetop . 28 8.5.2 Discussion . 33 8.6 Example 02: A Bar Consisting of Two Materials with Heat Flux on the Bot- tom Side and Fixed Temperature on the Top Side as Boundary Conditions(BCs) 34 8.6.1 Solving Example 02 with Thermal Freetop . 36 8.6.2 Discussion . 38 8.7 Example 03: A Bar Consisting of Three Materials with Heat Flux on the Bot- tom Side and Fixed Temperature on the Top Side as Boundary Conditions(BCs) 39 8.7.1 Solving Example 03 with Thermal Freetop . 40 8.7.2 Discussion . 44 9 Thermal Radiation 45 9.1 Blackbody Radiation . 45 9.1.1 Stefan-Boltzmann Law . 45 9.1.2 Planck's Law . 45 9.1.3 Wien's Displacement . 46 9.1.4 From Planck's Law to Stefan-Boltzmann Law . 46 9.2 Emissivity . 46 9.3 Solving the One-Dimensional and Steady-State Heat Conduction Equation with Heat Flux and an Emitting Surface as Boundary Conditions(BCs) . 47 9.4 Example 01: A Plate with Heat Flux on the Bottom Side and Emitting Surface on the Top Side as Boundary Conditions(BCs) . 48 9.4.1 Solving Example 01 with Thermal Freetop . 49 9.4.2 Discussion . 54 9.5 Example 02: A Thicker Plate with Heat Flux on the Bottom Side and Emit- ting Surface on the Top Side as Boundary Conditions(BCs) . 55 9.5.1 Solving Example 02 with Thermal Freetop . 56 viii 9.5.2 Discussion . 61 9.6 Example 03: A Smaller Plate with Heat Flux on the Bottom Side and Emitting Surface on the Top Side as Boundary Conditions(BCs) . 62 9.6.1 Solving Example 03 with Thermal Freetop . 63 9.6.2 Discussion . 68 References 70 ix Chapter 1 Executive Summary The objective of Thermal Freetop is to relieve the pain in the process of constructing thermal model, so eventually it will be a integral finite element simulation software with the necessary characteristics. The users don't need to switch from one package to another, since everything is included. 1 Chapter 2 Introduction Thermal management is extremely complicated since all subsystems are required to work in a specific temperature range. If the temperature exceeds the operating temperature ranges then the performace of the devices drop. Even worse is that if the temperature is outside the survival temperature range, the devices just crash and the whole mission may fail. The main task of thermal management is to keep the temperature where the subsystems work in the appropriate range. To achieve this many factors have to be taken in to account: 1. The geometry of the spacecraft. 2. The material properties of the structure. 3. The connections (fasteners) between all subsystems. 4. The waste heat generated by the subsystems. 5. The heat path to absorb or dissipate heat. The thermal design involves so many aspects that it is very difficult to complete it totally by solving the partial differential equations with the complex boundary conditions by hands. The engineers always need the assistance of computer numerical analysis. Thermal Desktop is a well-known commercial one in this area. Thermal Desktop is a powerful spacecraft thermal analysis software in the sense that it is able to simulate the heat transfer behaviour incluing that in the space radiation environment. However, it requires license, and there are many details to be careful of in the process of building the model. Users always spend most of their time learning the software rather than doing thermal analysis. The objective of this project is to develop a user-friendly, intuitive and reliable free open source spacecraft thermal analysis package which is open to individuals who are interested in spacecraft thermal analysis. The newly-developed thermal simulation software is named as Thermal Freetop. 2 Figure 2.1: The developer information of Thermal Freetop. 3 Chapter 3 Relevant Technical Issues To develope Thermal Freetop, the basic knowledge of the areas listed below are needed: 1. Heat transfer: without understanding the physics of heat transfer, it is likely that the developers can't spot the wrong solution from their simulation software. 2. Astrodynamics: thermal management of spacecraft involves the dynamics of spacecraft since the developers need the relative position and orientation between the components and the radiating source to define the boundary conditions. 3. Partial differential equations (PDEs): with the knowledge of PDEs, the developers can figure out the necessary characterics of the simulation software. 4. Numerical analysis: with the knowledge of numerical analysis, the developers can have a big picture of what should be added to the software package. 5. Python programming: FreeCAD is the main frame of Thermal Freetop, and it is open for 3rd party developer to extend its functionalities. FreeCAD is mainly based on Python language, so it is a must that the developers have the skills of python programming. 6. Graphical user interface design: with the skill the developers can produce user-friendly and intuitive interface. The main challenges are that the developers need many skills and enough time to get things done. 4 Chapter 4 Design Tradeoffs Developing software is a long-term run and it always takes much more time than that expected in the first place. Also it is not pragmatic to expect things could be done from the scratch by only one person. Thus, instead of creating everything on my own, Thermal Freetop works on the top of other great works from different groups of developers: 1. CAD software (main frame): FreeCAD. 2. Finite element solver: ElmerSolver, ElmerGrid. 3. Mesher and preprocessor: Salome-platform. 4. Visualization of data: Paraview. 5. Astrodyanmics simulation software: GMAT, 42. 5 Chapter 5 Design Implementations As what is mentioned in the previous chapters, Thermal Freetop works on the top of many fantastic and useful open-source, free software packages from other groups. The main contribution of this project is in that it combines different software packages and tries to integrate them to make a new one. Thermal Freetop is expected to be useful and able to relieve the pain of switching from one software to another to get thermal analysis done. Thermal Freetop is mainly programmed with PyQt4, a graphical user interface design library linked with Python, and it is able to call other packages to perform specific functions. Figure-5.1 is an example of the PyQt4 code used to show the information of the developer.
Recommended publications
  • English Translation of the German by Tom Hammond
    Richard Strauss Susan Bullock Sally Burgess John Graham-Hall John Wegner Philharmonia Orchestra Sir Charles Mackerras CHAN 3157(2) (1864 –1949) © Lebrecht Music & Arts Library Photo Music © Lebrecht Richard Strauss Salome Opera in one act Libretto by the composer after Hedwig Lachmann’s German translation of Oscar Wilde’s play of the same name, English translation of the German by Tom Hammond Richard Strauss 3 Herod Antipas, Tetrarch of Judea John Graham-Hall tenor COMPACT DISC ONE Time Page Herodias, his wife Sally Burgess mezzo-soprano Salome, Herod’s stepdaughter Susan Bullock soprano Scene One Jokanaan (John the Baptist) John Wegner baritone 1 ‘How fair the royal Princess Salome looks tonight’ 2:43 [p. 94] Narraboth, Captain of the Guard Andrew Rees tenor Narraboth, Page, First Soldier, Second Soldier Herodias’s page Rebecca de Pont Davies mezzo-soprano 2 ‘After me shall come another’ 2:41 [p. 95] Jokanaan, Second Soldier, First Soldier, Cappadocian, Narraboth, Page First Jew Anton Rich tenor Second Jew Wynne Evans tenor Scene Two Third Jew Colin Judson tenor 3 ‘I will not stay there. I cannot stay there’ 2:09 [p. 96] Fourth Jew Alasdair Elliott tenor Salome, Page, Jokanaan Fifth Jew Jeremy White bass 4 ‘Who spoke then, who was that calling out?’ 3:51 [p. 96] First Nazarene Michael Druiett bass Salome, Second Soldier, Narraboth, Slave, First Soldier, Jokanaan, Page Second Nazarene Robert Parry tenor 5 ‘You will do this for me, Narraboth’ 3:21 [p. 98] First Soldier Graeme Broadbent bass Salome, Narraboth Second Soldier Alan Ewing bass Cappadocian Roger Begley bass Scene Three Slave Gerald Strainer tenor 6 ‘Where is he, he, whose sins are now without number?’ 5:07 [p.
    [Show full text]
  • Optimization Design by Coupling Computational Fluid Dynamics and Genetic Algorithm 125
    DOI: 10.5772/intechopen.72316 Provisional chapter Chapter 5 Optimization Design by Coupling Computational Fluid OptimizationDynamics and Design Genetic by Algorithm Coupling Computational Fluid Dynamics and Genetic Algorithm Jong-Taek Oh and Nguyen Ba Chien Jong-TaekAdditional information Oh and is availableNguyen at Bathe endChien of the chapter Additional information is available at the end of the chapter http://dx.doi.org/10.5772/intechopen.72316 Abstract Nowadays, optimal design of equipment is one of the most practical issues in modem industry. Due to the requirements of deploying time, reliability, and design cost, bet- ter approaches than the conventional ones like experimental procedures are required. Moreover, the rapid development of computing power in recent decades opens a chance for researchers to employ calculation tools in complex configurations. In this chapter, we demonstrate a kind of modern optimization method by coupling computational fluid dynamics (CFD) and genetic algorithms (GAs). The brief introduction of GAs and CFD package OpenFOAM will be performed. The advantage of this approach as well as the difficulty that we must tackle will be analyzed. In addition, this chapter performs a study case in which an automated procedure to optimize the flow distribution in a manifold is established. The design point is accomplished by balancing the liquid-phase flow rate at each outlet, and the controlled parameter is a dimension of baffle between each chan- nel. Using this methodology, we finally find a set of results improving the distribution of flow. Keywords: computational fluid dynamics, VOF, optimization, OpenFOAM, genetic algorithm, open sourced 1. Introduction Computational fluid dynamics (CFD)-based optimization approach has been growing rap- idly in the past decades.
    [Show full text]
  • OCCT V.6.5.4 Release Notes
    Open CASCADE Technology & Products Products Version6. features, Highlights Technology CASCADE Open Overview , so applications linked against a previous version must berecompiled to run with this Version 6. Open CASCADE Technology & Products Technology Open CASCADE improvements and bug fixes over 6 Universal locale global current on independent made export / Import TKOpenGl libraries support plotter and viewer 2D obsolete of Removal Accelerated text visualization management texture of Redesign R and XCode Cocoa API with native visualization X, Mac OS On of support Official New automated testing system testing New automated and 3D graphics 2D both to way render unified the become input parameters and results and generation of data for bug rep bug for data of generation and results and parameters input . 0 efactored is binary incompatible withtheprevious versions CMake build scripts build CMake is nowis link Open CASCADE Open Boolean operations algorithm operations Boolean andProducts Mac OS X and Products Products and www. www. ed at build time, not at run time run at not time, build at ed opencascad Release Notes Notes Release opencascade M , Windows 8 and Visual Studio 2012 Studio Visual , and Windows 8 maintenance ; use of FTGL library is dropped FTGL of library ; use in version or e .co Release .org 6. m releas . Possibility to enable automatic check of of check automatic enable to Possibility . 6 . 0 ver. 6. ver. Technology is a Copyright © 2013 by OPEN CASCADE Page Copyright OPEN CASCADE 2013by © e 6. minor 5. 5 of . release, which includes 6 OpenCASCADE Technology . 0 4 project files files project ort . 3Dviewer over libraries 1 2 5 of 0 32 new 6 and and .
    [Show full text]
  • Development of a Coupling Approach for Multi-Physics Analyses of Fusion Reactors
    Development of a coupling approach for multi-physics analyses of fusion reactors Zur Erlangung des akademischen Grades eines Doktors der Ingenieurwissenschaften (Dr.-Ing.) bei der Fakultat¨ fur¨ Maschinenbau des Karlsruher Instituts fur¨ Technologie (KIT) genehmigte DISSERTATION von Yuefeng Qiu Datum der mundlichen¨ Prufung:¨ 12. 05. 2016 Referent: Prof. Dr. Stieglitz Korreferent: Prof. Dr. Moslang¨ This document is licensed under the Creative Commons Attribution – Share Alike 3.0 DE License (CC BY-SA 3.0 DE): http://creativecommons.org/licenses/by-sa/3.0/de/ Abstract Fusion reactors are complex systems which are built of many complex components and sub-systems with irregular geometries. Their design involves many interdependent multi- physics problems which require coupled neutronic, thermal hydraulic (TH) and structural mechanical (SM) analyses. In this work, an integrated system has been developed to achieve coupled multi-physics analyses of complex fusion reactor systems. An advanced Monte Carlo (MC) modeling approach has been first developed for converting complex models to MC models with hybrid constructive solid and unstructured mesh geometries. A Tessellation-Tetrahedralization approach has been proposed for generating accurate and efficient unstructured meshes for describing MC models. For coupled multi-physics analyses, a high-fidelity coupling approach has been developed for the physical conservative data mapping from MC meshes to TH and SM meshes. Interfaces have been implemented for the MC codes MCNP5/6, TRIPOLI-4 and Geant4, the CFD codes CFX and Fluent, and the FE analysis platform ANSYS Workbench. Furthermore, these approaches have been implemented and integrated into the SALOME simulation platform. Therefore, a coupling system has been developed, which covers the entire analysis cycle of CAD design, neutronic, TH and SM analyses.
    [Show full text]
  • GPUSPH User Guide
    GPUSPH User Guide version 5.0 — October 2016 Contents 1 Introduction 2 2 Anatomy of a project apart from the use of SALOME 2 3 Setting up and running the simulation without using the user in- terface 3 3.1 Case Examples .............................. 6 3.1.1 Framework setup ......................... 8 3.1.2 Generic simulation parameters .................. 11 3.1.3 SPH parameters .......................... 12 3.1.4 Physical parameters ....................... 13 3.1.5 Results parameters ........................ 14 3.2 Building and initializing the particle system .............. 14 4 Running your simulation 18 5 Setting up and running the simulation with the SALOME user in- terface 18 5.1 Preparing the geometry in GEOM .................... 18 5.2 Generating the mesh (optional) ..................... 20 5.3 Generating particle files with the Particle preprocessor ........ 21 5.4 Setting up and running the simulation with the GPUSPH solver ... 21 6 Visualizing the results 22 1 1 Introduction There are two ways to set up cases for GPUSPH: coding a Case file, or using the SALOME module GPUSPH solver. When coding the case file, it is possible to create the geometrical elements using built-in functions of GPUSPH (only for particle-type boundary conditions at the moment) or to read particle files generated by the Particle Preprocessor module of SALOME. Creating a case by hand corresponds to the creation of a new cusource file, with the associated header (e.g. MyCase.cu and MyCase.h), placing them under src/problems/user. This folder does not exist by default in GPUSPH, but it is recognised as a place to be scanned for case sources.
    [Show full text]
  • Alternative Pre-Processing Tools for Elmer
    Alternative pre-processing tools for Elmer ElmerTeam CSC – IT Center for Science, Finland CSC, 2018 Mesh generation capabilities of Elmer suite • ElmerGrid onative generation of simple structured meshes • ElmerGUI oplugins for tetgen, netgen and ElmerGrid • No geometry generation tools to speak about • No capability for multibody Delaunay meshing • Limited control over mesh quality and density • Complex meshes must be created by other tools! Open Source software for Computational Engineering Open source software in computational engineering • Academicly rooted stuff is top notch oLinear algebra, solver libraries oPetSc, Trilinos, OpenFOAM, LibMesh++, … • CAD and mesh generation not that competitive oOpenCASCADE legacy software oMesh generators netgen, tetgen, Gmsh are clearly academic oAlso for OpenFOAM there is development of commercial preprocessing tools • Users may need to build their own workflows from the most suitable tools oAlso in combination with commerial software Open Source Mesh Generation Software for Elmer • ElmerGrid: native to Elmer • Gmsh oSimple structured mesh generation oIncludes geometry definition tools oSimple mesh manipulation oElmerGUI/ElmerGrid can read the format oUsable via ElmerGUI msh format • ElmerMesh2D • SALOME oObsolite 2D Delaunay mesh generator oElmerGrid can read the unv format usable via the old ElmerFront written by SALOME oPreliminary version for direct interface to • Netgen Elmer oCan write linear meshes in Elmer format oUsable also as ElmerGUI plug-in • FreeCAD • Tetgen oOpen source community
    [Show full text]
  • SALOME 7.2.0 Release Notes
    SALOME : The Open Source Integration Platform for Numerical Simulation SALOME 7.2.0 Major release announcement May 2013 GENERAL INFORMATION CEA/DEN, EDF R&D and OPEN CASCADE are pleased to announce SALOME version 7.2.0. It is a major release that contains the results of planned major and minor improvements and bug fixes against SALOME version 6.6.0 released in December 2012. SALOME Platform SALOME Platform Copyright © 2001- 2013. All rights reserved. Page 1 of 32 SALOME : The Open Source Integration Platform for Numerical Simulation Table of Contents GENERAL INFORMATION ........................................................................................................................1 NEW FEATURES AND IMPROVEMENTS ................................................................................................3 PREREQUISITES CHANGES .................................................................................................................................3 License restrictions......................................................................................................................................4 MAJOR CHANGES ..............................................................................................................................................5 Removal of med v2.1 support .....................................................................................................................5 Removal of MEDMEM API..........................................................................................................................5
    [Show full text]
  • Development of a Support Tool to Predict Manufacturability of Deep- Drawing Parts
    INTERNATIONAL DESIGN CONFERENCE - DESIGN 2016 Dubrovnik - Croatia, May 16 - 19, 2016. DEVELOPMENT OF A SUPPORT TOOL TO PREDICT MANUFACTURABILITY OF DEEP- DRAWING PARTS D. Goller, S. Schreyer, B. Alber-Laukant, F. Rieg and W. Volk Keywords: process analysis, deep drawing, geometric modeling kernel, feasibility analysis 1. Introduction There are several different approaches to develop new products. A popular example is the product development process (PDP) by Pahl/Beitz [Feldhusen and Grote 2013]. The development engineer always benefits from detailed knowledge from later stages of the PDP, like process knowledge. Most likely this information is not available at these early stages, so it could be transferred from similar cases, which already have completed this stage, or the information can be generated by fast but preferably accurate estimations. The main goal of the collaborative research centre FORPRO², supported by the Bavarian research foundation (Bayerische Forschungsstiftung - BFS), is the optimization of simulation based development by knowledge transfer. One aspect of before mentioned optimization is the development of a software tool to predict the manufacturability of deep drawing parts. This can be achieved by process simulation by means of finite element analysis, but getting reliable output is usually extremely time-consuming and requires detailed process knowledge. Especially in early stages of the development process, a fast prediction on basis of non-detailed data is more expedient. There is already an approach to create a fast assumption of the manufacturability by using One-Step- solvers, which are already available in commercial solutions as for intance Autoform-OneStepforCatia [AutoForm 2015] and Altair HyperForm [Altair Engineering Inc.
    [Show full text]
  • Salome9 the Open Source Integration Platform for Numerical Simulation Salome9 Platform
    salome-platform.org SALOME9 THE OPEN SOURCE INTEGRATION PLATFORM FOR NUMERICAL SIMULATION SALOME9 PLATFORM The SALOME platform is an open source software framework for the integration of numerical solvers in various scientific domains. CEA and EDF are using SALOME to perform a wide range of simulations, which are typically related to industrial equipment in power plants (nuclear power plants, wind turbines, dams…). Some primary concerns are the design of new-generation reactor types, nuclear fuel management and transport, material ageing for the life-cycle management of equipment, and the reliability and safety of the nuclear facilities. To address these challenges, SALOME is integrating a CAD/CAE modeling tool, industrial mesh generators, and advanced 3D visualization features. KEY FEatuRES MODEL OF SERVICE AND SUPPORT In order to accurately simulate complex DEVELOPMENT OPEN CASCADE provides a whole industrial systems, scientists and engi- The SALOME platform is actively deve- range of services around SALOME for neers need to integrate domain specific loped by CEA and EDF, two key players professional end-users, such as technical solvers regarding material science, solid in the French energy industry, and with support and specific training. mechanics, structural dynamics, fluid the support of the Capgemini subsidiary The “à-la-carte” support program is par- physics, thermohydraulics, nuclear phy- OPEN CASCADE, one of the leaders ticularly suited for universities and aca- sics, radiations or electromagnetism. The in software development for scienti- demic organizations, as well as industrial SALOME platform provides one single fic computing. This 15 years old par- companies: Figure 1: Screenshots of the public web site of SALOME simulation environment for all these tnership provides the SALOME project Helpdesk and technical support for (www.salome-plateform.org) fields.
    [Show full text]
  • Simulation Modelling for Computer Aided Design of Secondary Aerodynamic Wing Surfaces Aleksandr A
    Advances in Systems Science and Application (2015) Vol.15 No.4 338-350 Simulation Modelling for Computer Aided Design of Secondary Aerodynamic Wing Surfaces Aleksandr A. Gorbunov, Aleksej D. Pripadchev, Irina S. Bykova and Valerij V. Elagin Federal State Educational Government-financed Institution of Higher Professional Education, Orenburg State University, Orenburg region, Russia Abstract The simulation modelling technique of secondary aerodynamic wing surface of the long-haul aircraft using a high-precision mathematical simulation in the aerody- namics and hydrodynamics computer programme has been formulated in the present article. The method proposed is based on the modern methods in the field of computer-aided design of aircraft using CATIA three-dimensional sim- ulation and simulation modelling in SALOME environment. The use of high- precision mathematical simulation in computer-aided design of secondary aero- dynamic wing surfaces allows us to determine the aerodynamic characteristics of the secondary aerodynamic surface of the model developed and to verify the previous results of the project definition. Keywords Secondary aerodynamic surfaces; High-precision computer mathemat- ical simulation; Simulation model; A long-haul aircraft; Synthesis; Design au- tomation; Project procedures; Three-dimensional modelling 1 Introduction Building the new long-haul aircraft (A/C) with improved performance character- istics and enhancing the currently used aircraft is effected in various ways. One of them is improving its aerodynamics depending largely on the A/C look. In our view, the most rational way to improve the aerodynamic characteristics of the A/C is to install the secondary aerodynamic surfaces (SAS) at the wingtip. The use of SAS reduces the induced drag of the aircraft, enhances the effective wing aspect-ratio and ascensional power at the wingtip, improves A/C longitu- dinal/transverse stability, reduces specific fuel consumption, cuts takeoff run and landing roll of the aircraft.
    [Show full text]
  • Ph.D. in Mechanical Engineering with Dissertation in Intelligent Energetic Systems Program
    A proposal for the Doctor of Philosophy Degree in Mechanical Engineering with Dissertation in Intelligent Energetic Systems at the New Mexico Institute of Mining and Technology October 2015 1 Executive Summary ............................................................................................................... 4 A Purpose of the Program ................................................................................................... 5 A.1 The Primary Purpose of the Proposed Program ....................................................... 5 A.2 Consistency of the Proposed Program with the Role and Scope of the Institution .. 6 A.3 Priority of the Institution for the Proposed Program ................................................ 7 A.4 Curriculum ............................................................................................................... 8 B Justification for the Program ......................................................................................... 11 B.1 State and Regional Need ........................................................................................ 11 B.2 Duplication ............................................................................................................. 13 B.3 Inter-Institutional Collaboration and Cooperation ................................................. 16 C Clientele and Projected Enrollment............................................................................... 21 C.1 Clientele ................................................................................................................
    [Show full text]
  • Ssc-475 Guidelines for Evaluation of Marine Finite
    NTIS #PB2019-###### SSC-475 GUIDELINES FOR EVALUATION OF MARINE FINITE ELEMENT ANALYSES Editors: Dr. E.D. Wang, Mr. J.S. Bone, Dr. M. Ma, and Mr. A. Dinovitzer This document has been approved for public release and sale; its distribution is unlimited. SHIP STRUCTURE COMMITTEE 2019 SHIP STRUCTURE COMMITTEE RDML Richard Timme RADM Lorin Selby U. S. Coast Guard Assistant Commandant Chief Engineer and Deputy Commander for Prevention Policy (CG-5P) For Naval Systems Engineering (SEA05) Co-Chair, Ship Structure Committee Co-Chair, Ship Structure Committee Mr. Jeffrey Lantz Mr. Derek Novak Director, Commercial Regulations and Standards (CG-5PS) Senior Vice President, Engineering & Technology U.S. Coast Guard American Bureau of Shipping Mr. H. Paul Cojeen Dr. John MacKay Society of Naval Architects and Marine Engineers Head, Warship Performance, DGSTCO Defence Research & Development Canada - Atlantic Mr. Kevin Kohlmann Mr. Luc Tremblay Director, Office of Safety Executive Director, Domestic Vessel Regulatory Oversight Maritime Administration and Boating Safety, Transport Canada Mr. Albert Curry Mr. Eric Duncan Deputy Assistant Commandant for Engineering and Group Director, Ship Integrity and Performance Engineering Logistics (CG-4D) (SEA 05P) U.S. Coast Guard Naval Sea Systems Command Mr. Neil Lichtenstein Dr. Thomas Fu Deputy Director N7x, Engineering Directorate Director, Ship Systems and Engineering Research Division Military Sealift Command Office of Naval Research SHIP STRUCTURE SUB-COMMITTEE UNITED STATES COAST GUARD (CVE) AMERICAN BUREAU OF SHIPPING CAPT Robert Compher Mr. Daniel LaMere Mr. Jaideep Sirkar Ms. Christina Wang Mr. Charles Rawson SOCIETY OF NAVAL ARCHITECTS AND MARINE DEFENCE RESEARCH & DEVELOPMENT CANADA ENGINEERS ATLANTIC Mr. Frederick Ashcroft Dr. Malcolm Smith Dr.
    [Show full text]