Hydrogen-Fueled Automotive Engine Experimental Testing to Provide an Initial Design-Data Base

1981 ◽  
Author(s):  
Michael R. Swain ◽  
John M. Pappas ◽  
Robert R. Adt ◽  
William J. D. Escher
Keyword(s):  
Data Base ◽  
Experimental Testing ◽  
Design Data ◽  
Automotive Engine ◽  
Initial Design

scholarly journals Properties for initial design of tunnels by NATM using rock mass data-base system.

1990 ◽  
pp. 125-133
Author(s):  
Mitsuhiro SEZAKI ◽  
Yasuaki ICHIKAWA ◽  
Toshikazu KAWAMOTO ◽  
Ouml;mer AYDAN
Keyword(s):  
Rock Mass ◽  
Data Base ◽  
Base System ◽  
Mass Data ◽  
Initial Design ◽  
Data Base System

Development and Research of Management Information System Based on Multilayer Structure

2014 ◽  
Vol 687-691 ◽  
pp. 2347-2350
Author(s):  
Shuang Liu
Keyword(s):  
Information System ◽  
Data Base ◽  
Management Information System ◽  
Multilayer Structure ◽  
New Technology ◽  
Integrated Design ◽  
Management Information ◽  
Design Data ◽  
Sql Server 2000 ◽  
Whole Process

In the whole process of developing the management information system, people give priority to application of new technology and instrument such as the newly developed instrument Visual Studio from Microsoft. Connected with SQL Server 2000 data base, VB.NET, ASP.NET and ADO.NET technology are able to make the structure of softwares more reasonable, convenient and pragmatic, largely increasing the overall property of the software system. According to the steps of engineering design, this passage is to illustrate the entire system in an all-around way in terms of demand analysis, integrated design, data base design, safety design as well as report design. This passage is to illustrate a design process of a management information system based on C/S and B/S multilayer structure.

Hydrodynamic Forces on Near-Bed Small Diameter Cables and Pipelines in Currents, Waves and Combined Flow

2019 ◽  
Author(s):  
Terry Griffiths ◽  
Yunfei Teng ◽  
Liang Cheng ◽  
Hongwei An ◽  
Scott Draper ◽  
...  
Keyword(s):  
Renewable Energy ◽  
Oil And Gas ◽  
Experimental Testing ◽  
Small Diameter ◽  
Preliminary Test ◽  
High Energy ◽  
Operational Reliability ◽  
Hydrodynamic Forces ◽  
Design Data ◽  
Energy Projects

Abstract The on-bottom stability design of subsea pipelines and cables is important to ensure safety and reliability but can be challenging to achieve, particularly for renewable energy projects which are preferentially located in high energy metocean environments. Often these conditions lead to the seabed being stripped of all loose sediment, leaving the cables to rest on exposed bedrock where roughness features can be similar in size to the cables. As offshore renewable energy projects progress from concept demonstration to commercial-scale developments, new approaches are needed to capture the relevant physics for small diameter cables on rocky seabeds to reduce the costs and risks of export power transmission and increase operational reliability. These same considerations also apply to the cables and small diameter pipes — such as umbilicals — required by oil and gas projects located on rocky seabeds. Recent experimental testing using the University of Western Australia’s unique Large O-tube has enabled the experimental measurement of hydrodynamic forces on small diameter cables and pipes in proximity to smooth and rough beds. The tested conditions extend well beyond the existing published parameter range including much higher KC conditions together with seabed roughness which is comparable in size to the diameter. The results provide design data of great relevance to the ongoing development of marine renewable and conventional oil and gas projects, especially on rocky seabeds. This paper presents a summary of the existing knowledge on the subject as a preface to preliminary test results and gives tentative conclusions on the likely outcomes from this work.

Managing the Mechanical Data Base

2009 ◽  
Author(s):  
Yuval Beiski
Keyword(s):  
Data Base ◽  
Mechanical Assembly ◽  
Design Data ◽  
Interface Control ◽  
Production Models ◽  
Mechanical Assemblies ◽  
Data Production ◽  
Current Design ◽  
Cad Models ◽  
Analysis Models

Developing complex systems usually involves many activities that are based on the integration of the designer CAD models: mechanical assemblies, analysis models (CFD, FEA, Thermal, etc.), interface control, tool and jig design data, production models, mass properties, ILS, documentation, and many more. Proper management of the integrated data base can lead to cost and time savings by parallel design, updated interfaces, and minimum integration faults; and can increase the reuse of parts and support the system engineering decisions. On the other hand, improper data managing can lead to major failures in the design process and during the mechanical assembly, which might result in loss of time, money and reputation. In order to assure efficient and accurate management of the mechanical data base, special training is required for designated personnel – the Mechanical Integrator (MI). The Mechanical Integrator ensures the implementation of appropriate working procedures by the sub-systems designers, that the current design is based on approved and released data, the use of generic parts and much more by managing an updated and robustly built data base. The Mechanical Integrator has a major roll in the project, but does he have the necessary knowledge and training? This paper presents the advantages of managing the mechanical data base; focusing on the techniques in use for building and monitoring it properly and explains the training program of the Mechanical Integrator, a person in charge over the mechanical data base and data flow.

Product Design Analysis Using the Assembly Design Evaluation Metric

1991 ◽  
Author(s):  
David E. Lee ◽  
Michel A. Melkanoff
Keyword(s):  
Product Design ◽  
Design Analysis ◽  
Design Stage ◽  
Design Evaluation ◽  
Generic Model ◽  
Design Data ◽  
Assembly Design ◽  
Initial Design ◽  
Evaluation Metric ◽  
Assembly Operations

Abstract Analysis of a product’s assembly properties is needed during the initial design stage in order to identify potential assembly problems. These problems affect product performance in the later stages of a product’s life cycle. An analysis methodology has been developed that supports product design analysis for assembly during the initial design stage. The methodology, referred to as the Assembly Design Evaluation Metric (ADEM), utilizes the incomplete nature of initial design data and a generic model of assembly operations in the analysis of a product design. ADEM generates ratings for each component of a product design and each process that would be needed to assemble the components together. From the individual component and process ratings, ADEM computes overall ratings for the product design itself. These overall product ratings can then be used to compare the differing iterations of a product design. Because ADEM provides an explicit model of assembly operations, different levels of data and process abstraction can be maintained and analyzed. This enables ADEM to evaluate product designs earlier in the design stage than existing design analysis methods such as DFA (design for assembly) techniques.

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