Demonstration of a prototype design synthesis capability for space access vehicle design

2020 ◽  
Vol 124 (1281) ◽  
pp. 1761-1788
Author(s):  
L. Rana ◽  
B. Chudoba
Keyword(s):  
Life Cycle ◽  
Conceptual Design ◽  
Life Cycle Cost ◽  
Best Practice ◽  
Synthesis Process ◽  
Vehicle Design ◽  
Design Decision ◽  
Design Synthesis ◽  
Design Life ◽  
Synthesis Methodology

ABSTRACTThe early conceptual design (CD) phase of space access vehicles (SAVs) is the most abstract, innovative and technologically challenging phase of the entire aerospace design life cycle. Although the design decision-making during this phase influences around 80 percent of the overall life cycle cost, it is the most abstract and thus least understood phase of the entire design life cycle. The history of SAV design provides numerous examples of project failures that could have been avoided if the decision-maker had had the capability to forecast the potential risks and threats correctly ahead of time during the conceptual design phase. The present study addresses this crucial phase and demonstrates a best-practice synthesis methodology prototype to advance the current state of the art of CD as applied to SAV design. Developed by the Aerospace Vehicle Design (AVD) Laboratory at the University of Texas at Arlington (UTA), the Aerospace Vehicle Design Synthesis process and software (AVDS) is a prototype solution for a flight vehicle configuration–flexible (generic) design synthesis capability that can be applied to the primary categories of SAVs. This study focusses on introducing AVDS, followed by the demonstration and verification of the system’s capability through a sizing case study based on the data-rich Boeing X-20 Dyna-Soar spaceplane.

scholarly journals Life Cycle Cost Model for Considering Fleet Utilization in Early Conceptual Design Phases

Procedia CIRP ◽  
2016 ◽  
Vol 48 ◽  
pp. 68-72 ◽  
Author(s):  
Florian Johannknecht ◽  
Matthias M. Gatzen ◽  
Roland Lachmayer
Keyword(s):  
Life Cycle ◽  
Conceptual Design ◽  
Life Cycle Cost ◽  
Cost Model

Optimal Plug-In Hybrid Vehicle Design and Allocation for Minimum Life Cycle Cost, Petroleum Consumption and Greenhouse Gas Emissions

2010 ◽  
Author(s):  
Ching-Shin Norman Shiau ◽  
Scott B. Peterson ◽  
Jeremy J. Michalek
Keyword(s):  
Life Cycle ◽  
Greenhouse Gas ◽  
Life Cycle Cost ◽  
Hybrid Electric Vehicle ◽  
Operating Cost ◽  
Ghg Emissions ◽  
The United States ◽  
Vehicle Design ◽  
Battery Capacity ◽  
Hybrid Electric

Plug-in hybrid electric vehicle (PHEV) technology has the potential to help address economic, environmental, and national security concerns in the United States by reducing operating cost, greenhouse gas (GHG) emissions and petroleum consumption from the transportation sector. However, the net effects of PHEVs depend critically on vehicle design, battery technology, and charging frequency. To examine these implications, we develop an integrated optimization model utilizing vehicle physics simulation, battery degradation data, and U.S. driving data to determine optimal vehicle design and allocation of vehicles to drivers for minimum life cycle cost, GHG emissions, and petroleum consumption. We find that, while PHEVs with large battery capacity minimize petroleum consumption, a mix of PHEVs sized for 25–40 miles of electric travel produces the greatest reduction in lifecycle GHG emissions. At today’s average US energy prices, battery pack cost must fall below $460/kWh (below $300/kWh for a 10% discount rate) for PHEVs to be cost competitive with ordinary hybrid electric vehicles (HEVs). Carbon allowance prices have marginal impact on optimal design or allocation of PHEVs even at $100/tonne. We find that the maximum battery swing should be utilized to achieve minimum life cycle cost, GHGs, and petroleum consumption. Increased swing enables greater all-electric range (AER) to be achieved with smaller battery packs, improving cost competitiveness of PHEVs. Hence, existing policies that subsidize battery cost for PHEVs would likely be better tied to AER, rather than total battery capacity.

Methodology of life cycle cost with risk expenditure for offshore process at conceptual design stage

Energy ◽  
2011 ◽  
Vol 36 (3) ◽  
pp. 1554-1563 ◽  
Author(s):  
Kiil Nam ◽  
Daejun Chang ◽  
Kwangpil Chang ◽  
Taejin Rhee ◽  
In-Beum Lee
Keyword(s):  
Life Cycle ◽  
Conceptual Design ◽  
Life Cycle Cost ◽  
Design Stage ◽  
Conceptual Design Stage

Exploring decisions' influence on life-cycle performance to aid “design for Multi-X”

2000 ◽  
Vol 14 (2) ◽  
pp. 91-113 ◽  
Author(s):  
JONATHAN C. BORG ◽  
XIU-TIAN YAN ◽  
NEAL P. JUSTER
Keyword(s):  
Life Cycle ◽  
Cycle Performance ◽  
Design Solution ◽  
Design Decision ◽  
Solution Synthesis ◽  
Knowledge Modelling ◽  
Design Synthesis ◽  
Component Design ◽  
Life Issues ◽  
Knowledge Intensive

The problem addressed in this paper is that design decisions can have a propagation effect spanning multiple life-phases influencing life-cycle metrics such as cost, time, and quality. It introduces a computational framework of a “Knowledge of life-cycle Consequences (KC) approach” aimed at allowing designers to foresee and explore effectively unintended, solution specific life-cycle consequences (LCCs) during solution synthesis. The paper presents a phenomena model describing how LCCs are generated from two fundamentally different conditions: noninteracting and interacting synthesis decision commitments. Based on this understanding, the KC approach framework has been developed and implemented as a Knowledge-Intensive CAD (KICAD) tool named FORESEE. The framework consists of three frames: an artefact life modelling frame, an operational frame, and an LCC knowledge modelling frame. This paper focuses on the knowledge modelling frame, composed basically of synthesis elements, consequence inference knowledge, and consequence action knowledge. To evaluate the influence of design decision consequences on artefact life-phases, cost, time and quality performance measures are used within the frame. Using these metrics, the life-cycle implications of a decision can be instantly updated and fully appreciated. An evaluation of the approach was carried out by applying FORESEE to thermoplastic component design. The results provide a degree of evidence that the approach integrates the activity of component design synthesis with the activity of foreseeing artefact life issues including fluctuations in life-cycle metrics. This makes the approach fundamentally different from the conventional approach in which first a candidate design solution is generated and then, at a penalty of extra time, an analysis of the solution for conflicts with artefact life issues is carried out. The framework thus provides a significant step towards the realization of a “Design Synthesis for Multi-X” approach to component design, although further work is required to exploit practically its utilization.

Life Cycle Cost Analysis of Anticorrosive Coating of Steel Bridge

2012 ◽  
Vol 496 ◽  
pp. 121-125 ◽  
Author(s):  
Pan Liu
Keyword(s):  
Life Cycle ◽  
Cost Analysis ◽  
Life Cycle Cost ◽  
Steel Structure ◽  
Arc Spraying ◽  
Life Cycle Cost Analysis ◽  
Steel Bridge ◽  
Anticorrosive Coating ◽  
Design Life ◽  
Bridge Steel

This paper is about a design to steel structure anticorrosive coating of one domestic bridge which is 100-year design Life by using the latest life cycle cost analysis (LCC).With comparing the fees of four painting program, the most optimized economic is program IV, that is arc spraying aluminum、dilution epoxy MIO, universal epoxy antirust paint and polyurethane topcoat system. It has a important guiding significance to design anti-corrosion coating of other bridge steel structure.

Level of Repair Analysis Oriented on Integrated Materiel Support Based on BP Neural Network

2013 ◽  
Vol 756-759 ◽  
pp. 4706-4709
Author(s):  
Ying Shen ◽  
Zhi Wei Shan ◽  
Jun Hai Cao ◽  
Fu Sheng Liu
Keyword(s):  
Neural Network ◽  
Life Cycle ◽  
Bp Neural Network ◽  
Life Cycle Cost ◽  
Corrective Maintenance ◽  
Design Life ◽  
Operational Readiness ◽  
Important Means ◽  
Level Of Repair Analysis ◽  
Relative Concept

Level of Repair Analysis, for short LORA, is an integrated tradeoff technology and an important means that makes certain corrective maintenance support concept. Although by LORA it determines feasible, best efficient maintenance level or makes disposal decision for materiel repair, and affects design, life cycle cost and operational readiness of materiel, it is not mature for the development and application of LORA. In order to put the analysis technology into practice in deed, particular adapt to the need of integrated materiel support, on the basis of relative concept, principle and application of BP neural network in the paper, it discusses how to go on LORA in the context of integrated materiel support based on BP neural network, better to settle the problem of LORA.

Automated Conceptual Design of Mechanisms Using Improved Morphological Matrix

2005 ◽  
Vol 128 (3) ◽  
pp. 516-526 ◽  
Author(s):  
Yong Chen ◽  
Peien Feng ◽  
Bin He ◽  
Zhonquin Lin ◽  
Youbai Xie
Keyword(s):  
Conceptual Design ◽  
Prototype System ◽  
Design Decision ◽  
Mechanism Synthesis ◽  
Combinatorial Explosion ◽  
Synthesis Algorithm ◽  
Performance Constraints ◽  
Knowledge Support ◽  
Synthesis Methodology ◽  
Function Matrix

Conceptual design of mechanisms has attracted a number of research efforts in recent years due to its significance in product development. However, existing approaches for automated conceptual design of mechanisms are either prone to a loss of optimal solutions or inextensible to achieve conceptual design of complex mechanisms. This paper is devoted to developing a comprehensive and extensible methodology for automated conceptual design of mechanisms utilizing a design prototype synthesis methodology. To support automated mechanism synthesis effectively, the traditional morphological matrix is improved as a motional function matrix (MFM). In addition, a mechanism prototype knowledge base is developed to provide systematic knowledge support for conceptual design decision-making. Based on the integrated MFM, an exhaustive mechanism synthesis algorithm is developed to yield as many solutions as possible to desired functions to facilitate the discovery of novel and optimal combinatorial solutions. To curb the possible combinatorial explosion from the exhaustive search, a performance constraint verification approach is proposed to help designers filter out combinatorial solutions violating performance constraints, followed by a satisfaction degree-based approach for evaluating the total performances of combinatorial solutions according to the performances of their subsolutions. An automated mechanism conceptual design prototype system is developed and a design case is presented to illustrate the feasibility and practicality of the proposed methodology.

Evolution of generic flight vehicle design synthesis

2010 ◽  
Vol 114 (1159) ◽  
pp. 549-567 ◽  
Author(s):  
B. Chudoba ◽  
W. Heinze
Keyword(s):  
Life Cycle ◽  
Product Development ◽  
Design Space ◽  
Product Development Process ◽  
Mission Design ◽  
Vehicle Design ◽  
Flight Vehicle ◽  
Next Generation ◽  
Design Synthesis ◽  
Manufacturing Testing

AbstractWhen defining a new product like an aircraft, space access vehicle or space mission, the Advanced Projects Group evaluates the available design space and compares it with the design space required to accomplish the specified mission. As with any product development process, the general life-cycle characteristics are established first during the conceptual design (CD) phase, clearly before a design proposal can be released to the follow-on design phases such as preliminary design (PD), detail design (DD), flight test (FT), and finally operation and disposal. As a rule of thumb, it can be assumed that around 80% of the flight vehicle configuration and mission tandem are determined during the CD phase alone, which is the key phase where the initial brainstorming has to take place. Clearly, it is the responsibility of the CD team to simulate the entire life-cycle of the project from ‘cradle to grave’ where the focus is on correctness rather accuracy in order to identify the design space and offer an overall proof of design convergence. Currently, the important primary aerospace vehicle and mission design decisions at CD level are still made using extremely simple analysis and heuristics. A reason for this scenario is the difficulty in synthesising the range of individual design disciplines for both, classical and novel aerospace vehicle conceptual designs, in more than anad hocfashion. Although the CD segment is seen as the most important step in the product development phase due to its pre-defining function, it is the least well understood part of the entire product evolution process due to its level of abstraction. This paper presents the roadmap towards the next generation of aerospace life-cycle synthesis systems, a software and management process capable to immediately calculate cost and time implications while simultaneously linking design, manufacturing, testing, and operation. A historical review of how design has been accomplished until today is presented. The design approaches are categorised and the characteristics of today’s state-of-the-art design synthesis systems are discussed. A specification for the new class of intelligent generic design synthesis systems is presented capable of satisfying the demands imposed by the new breed of high-performance aircraft, space access vehicles, space missions, and others. Finally, the development status of the next generation aerospace vehicle design synthesis (AVDS-PrADO) simulation-based acquisition environment is presented.

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