Data Integration Mechanisms

Author(s):  
Alan W. Brown ◽  
David J. Carney ◽  
Edwin J. Morris ◽  
Dennis B. Smith ◽  
Paul F. Zarrella

Data integration is a basic need for a CASE environment because individual tools operate on data that are of interest to other tools. For example, many CASE analysis and design tools produce code templates representing the interfaces between system components. These templates are of interest to tools that assist in code generation since they specify an interface between system components that ideally is maintained during the implementation process. Likewise, changes made to these interface descriptions during the implementation process often have an impact on the design of the system as reflected in the analysis and design tool. Many approaches have been developed to facilitate the sharing of data between components of a CASE environment. These approaches differ both in the mechanisms used to provide this support and in the degree of support provided. In this chapter we consider some concepts central to the problem of data integration, discuss the major strategies adopted to provide data integration, and analyze the strengths and weaknesses of these strategies. Finally, we discuss particular mechanisms that reflect these strategies. If environment components are to share data, then two issues must be addressed. First, agreements must be made between components concerning what data are stored, where, and how they are accessed. Second, the components must share a common understanding of the meaning of the data. We refer to the first issue as data persistence, and the second issue as data semantics. These two issues provide the backdrop for our discussion of the principal types of mechanisms for data integration. One type of mechanism focuses on different storage strategies, and the second type of mechanism focuses on semantic agreements. Although we consider each separately, no mechanism exclusively addresses only data persistence or data semantics. In practice, all mechanisms address both data persistence and data semantics to varying degrees. There are two basic strategies that support storage and sharing of persistent data. The first involves data import and export, whereby tools maintain separate databases for their unique data, and sharing is accomplished by some translation from an internal form to an external form to make it available to other tools.

Author(s):  
Yves Wautelet ◽  
Isabelle Mirbel

Electronic collaboration in the field of Supply Chain Management notably allows enhanced visibility for each of the involved actors through information sharing and global optimization through coordination. The proper achievement of these advantages is nevertheless not trivial since it implies the development of rather complex IT systems. Each actor is indeed mostly dealing with his own data semantics and custom processes so that data centralization and sharing is seldom achieved. Moreover, even if there would be a willingness to share data, this inherent heterogeneity would constitute a serious burden for software developments. The present chapter presents the results of a research aimed to partially solve these issues. It indeed presents the analysis and design of a platform for e-collaboration among the main Outbound Logistic (OL) actors based on a common conceptualization (including unified data semantics) and a set of services (supporting business processes realization). The chapter briefly presents the generic processes but mostly focuses on the representation of these services at a strategic level through an analysis of their added value and risk for OL actors potentially adopting the software solution.


Author(s):  
Ömür Yaşar Saatçioğlu ◽  
Nergis Özispa ◽  
Gökçe T. Kök

The concept of Industry 4.0 has recently attracted attention from academics, research institutions, and companies. In order for projects to achieve success in Industry 4.0, project specifications must be known and they must be conducted with utmost care. While Industry 4.0 projects ensure lots of advantages, they encounter many risks such as data integration, process flexibility, and security problems. Identification of barriers to Industry 4.0 is important for the success of the projects. The aim of the chapter is to determine the Industry 4.0 barriers in implementation process in Turkey's conditions investigate the interrelations among them and develop a model that can measure the interacting effects of the barriers on the other barriers in the Industry 4.0 implementation process. To reach that aim, interpretive structural modeling (ISM) and decision-making trail and evaluation laboratory (DEMATEL) are used. According to results, one of the most important findings is the lack of digital vision which found as the only affecting barrier and it affects all the other barriers.


2010 ◽  
Vol 45 (1) ◽  
pp. 59-68 ◽  
Author(s):  
Ramesh P. Rudra ◽  
Bahram Gharabaghi ◽  
Saleh Sebti ◽  
Neelam Gupta ◽  
Ashwini Moharir

Abstract The Guelph design tool for vegetative filter strips, GDVFS, is a toolkit for the analysis and design of vegetative filter strips (VFSs). The upland hydrology model UH and the vegetative filter strip model VFSMOD (the two main components of GDVFS) were adopted from an existing interface (VFSMOD-W), and new nutrient and bacteria transport add-ons for UH and VFSMOD were incorporated into GDVFS. Other utilities and tools were also included in GDVFS to provide a capable toolkit for the analysis and design of VFSs. The published evaluation of computational procedures used in GDVFS indicates that these procedures perform very well in the estimation of VFS sediment and phosphorus removal efficiencies. According to these results, comparison of the predicted and observed values for sediment and phosphorus removal efficiencies indicates 10 and 20% error, respectively. This paper provides descriptions on the capabilities and methodology followed in the GDVFS toolkit.


Author(s):  
Geneviève Rodrigue ◽  
Chris K. Mechefske

Experimental and computational modal analysis has been completed as part of a larger project with the ultimate goal of understanding MRI vibration and implementing passive vibration isolation in the MRI machine support structure. The specific purpose of the modal analysis is to extract natural frequencies (eigenvalues) and mode shapes (eigenvectors) of the MRI support structure in order to validate the computational model of the base against the experimental results so that the former may be used as an analysis and design tool. From the model, the resonance points of the MRI support structure are determined within the expected frequency ranges of excitation.


Author(s):  
Timothy F. Miller

An unfortunate aspect of engineering education in general, and turbomachinery education in specific, has been the difficulty of incorporating the design aspect of instruction with the time-consuming components that make up theoretical instruction. The primary reason for this difficulty is the extremely limited time (typically three months) allocated to teach turbomachinery as a senior-level quarter or semester technical elective. It is desirable to develop an educational design tool that can be simultaneously exercised by a student to perform various design tasks and function as a means of theoretical instruction. Such a tool can permit the students both greater depth and breadth of exposure and may be subsequently used by the students in their future capacity as professional engineers. In this paper, this tool is illustrated by several applications of a commercial “graphical spreadsheet” software package (MathCAD, though others such as Mathmatica and Macsyma are appropriate as well). Some graphical spreadsheet design tools are presented, and these tools are applied to the analysis and design of a radial pump, centrifugal compressor, and radial-inflow turbine.


Author(s):  
Dinghao Pan ◽  
Andrea Vacca

Abstract Lumped parameter approaches for the description of the flow displaced by hydrostatic pumps and motors have proven to be very effective for both analysis and design purposes. However, while these methods are relatively easy to implement for most of the existing design architectures for positive displacement machines, the case of a crescent-type internal gear machine (CIGM) presents clear challenges as it pertains to the definition of lumped control volumes within the machine. This paper proposes an original scheme for defining lumped control volumes within a CIGM with involute teeth profiles, which is suitable for developing fluid dynamic simulation models for CIGMs. The proposed method strictly obeys fundamental rules on continuous volumes required by lumped parameters models. This is achieved by defining not only multiple control volumes for each displacement chamber but also two variable porting volumes to respect the volume conservation. To prove the validity of the proposed numerical method, the paper provides comparisons between the displaced volume found by the proposed lumped parameter approach and the theoretical kinematic flow ripple provided by an analytical formula available from literature. The results show how the method can be used as a design tool for CIGMs, and particularly to further develop lumped parameter simulation models for detailed fluid dynamic analysis of CIGMs.


Author(s):  
Byoung Hun Kang ◽  
John T. Wen ◽  
Nicholas G. Dagalakis ◽  
Jason J. Gorman

This paper presents an analysis tool and design method for MEMS parallel mechanisms. Due to processing constraints in MEMS fabrication, flexure joints are frequently used in MEMS mechanisms. Flexure joints offer advantages over other joint designs due to their monolithic characteristics. They can be used to reduce the size of manipulators or to increase the precision of motion. Their inherent flexibility, however, also results in task space compliance which needs to be carefully designed to match the task specification. This paper presents an analysis and design tool for such mechanisms by using the differential kinematics. Performance metrics are chosen based on manipulability and task stiffness matrices, which in turn are used in a multi-objective optimization. As an illustrative example, a 1-DOF MEMS parallel mechanism based on the macro- and meso-scale models designed by NIST is considered with several choices of performance metrics and design variables. The resulting designs are successfully fabricated using DRIE process.


Author(s):  
Lakshminarayanan Seshadri ◽  
Harini Nivetha Raja ◽  
Pramod Kumar ◽  
Abdul Nassar ◽  
Gaurav Giri ◽  
...  

Abstract Supercritical Carbon Dioxide Brayton cycles can be used in conjunction with a host of heat sources associated with different magnitudes of net power generation. In this paper, the overall design features of the turbomachinery, namely the turbine and compressor are evaluated for kilowatt to Gigawatt range of net cycle power using a commercial design tool — AxSTREAM®. The thermodynamic cycle considered in all cases is a simple recuperated Brayton cycle with turbine and compressor inlet temperatures of 540 °C and 45 °C respectively. The highest and lowest pressures in the cycle are 210 bar and 85 bar respectively. The preliminary design is carried out using an inverse algorithm with a meanline solver that generates many geometries for the given boundary conditions using standard loss correlations to account for different losses in turbomachines. It, thus, provides the general design features of the compressor and turbine which include — machine size, shaft speed at design point, overall efficiency, number of blades, blade heights, blade angles and number of stages for axial turbines. The choice of axial or radial impeller and initial estimates of machine size and shaft speed are made based on standard specific speed-specific diameter charts and important loss parameters are presented for each case. This study serves as a first step towards in-depth blade profiling, 3-D analysis and design of the turbomachinery required to bring this technology to the practical realm.


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