CAE Data Management Using Traditional PDM Systems

2004 ◽  
Author(s):  
Alhad A. Joshi
Keyword(s):  
Data Management ◽  
Product Design ◽  
Data Model ◽  
Process Management ◽  
Low Cost ◽  
Data Types ◽  
Physical Test ◽  
Design Alternatives ◽  
Physical Testing ◽  
Warranty Costs

Over the past decade, Computer Aided Engineering (Simulation) has experienced explosive growth being a significant enabler for: 1. Validating product design; 2. Providing low-cost methods for exploring a variety of product design alternatives; 3. Optimizing parts for better service performance; 4. Reducing dependence on physical testing; 5. Reducing warranty costs; 6. Achieving faster time to market. This rapid growth in the number of simulations performed and the amount of data generated in the absence of any significant data and process management initiatives has led to considerable inefficiencies in the CAE domain. Many companies now recognize the need to manage their CAE process and data as well as their desire to leverage their existing PDM systems as the primary repositories of CAE data. Some major issues are: 1. There is a need for a PDM data model to support CAE; 2. The CAE data model can be very complex; 3. There is an immense variety of CAE applications and data types; 4. Many CAE simulations require access to physical test data for input and correlation; 5. Data management discipline is not typically part of the CAE culture today. Despite the unique challenges posed by bringing PDM into the CAE world, the transition could occur faster than it has in the CAD world. This presentation will showcase an approach for managing CAE data in traditional PDM systems. Two working examples of CAE process automation software solutions integrated with CAD and PDM will be discussed. In particular, these applications will show how CAE users can leverage established PDM infrastructure and interact with EDS’ Teamcenter/Enterprise, Teamcenter/Engineering and Dassault Systeme’s SmarTeam through seamless integrations with their CAE systems.

The Research of Oil Fields Heterogeneous Data Management Technology

2014 ◽  
Vol 915-916 ◽  
pp. 1397-1400
Author(s):  
Bing Li ◽  
Yon Gan Wang ◽  
Ya Tian Gao
Keyword(s):  
Data Management ◽  
Data Model ◽  
Heterogeneous Data ◽  
Oil Fields ◽  
Petroleum Exploration ◽  
Data Types ◽  
Data Interchange ◽  
Management Technology ◽  
Model Foundation ◽  
Petroleum Field

With the continuous development of petroleum exploration technology and exploitation business, the data types involved in the petroleum field are getting more complicated and richer, so a lot of heterogeneous data types emerged, data interchange can not be achieved directly among them. In this paper, the integration middle framework of heterogeneous data types is built based on XML, to realize the transition and integration of relational data and XML data, and to provide support for the data sharing and application among data model. Foundation item .The project of youth fund of Northeast Petroleum University (The research of XML heterogeneous data management technology applied in oilfield management)

scholarly journals A Person-to-Person and Person-to-Place COVID-19 Contact Tracing System Based on OGC IndoorGML

2020 ◽  
Vol 10 (1) ◽  
pp. 2 ◽  
Author(s):  
Soroush Ojagh ◽  
Sara Saeedi ◽  
Steve H. L. Liang
Keyword(s):  
Data Model ◽  
Low Cost ◽  
Large Body ◽  
Contact Tracing ◽  
Trajectory Data ◽  
Sequential Order ◽  
Human Contact ◽  
Wide Availability ◽  
Data Points ◽  
The Impact

With the wide availability of low-cost proximity sensors, a large body of research focuses on digital person-to-person contact tracing applications that use proximity sensors. In most contact tracing applications, the impact of SARS-CoV-2 spread through touching contaminated surfaces in enclosed places is overlooked. This study is focused on tracing human contact within indoor places using the open OGC IndoorGML standard. This paper proposes a graph-based data model that considers the semantics of indoor locations, time, and users’ contexts in a hierarchical structure. The functionality of the proposed data model is evaluated for a COVID-19 contact tracing application with scalable system architecture. Indoor trajectory preprocessing is enabled by spatial topology to detect and remove semantically invalid real-world trajectory points. Results show that 91.18% percent of semantically invalid indoor trajectory data points are filtered out. Moreover, indoor trajectory data analysis is innovatively empowered by semantic user contexts (e.g., disinfecting activities) extracted from user profiles. In an enhanced contact tracing scenario, considering the disinfecting activities and sequential order of visiting common places outperformed contact tracing results by filtering out unnecessary potential contacts by 44.98 percent. However, the average execution time of person-to-place contact tracing is increased by 58.3%.

Study of the Spatio-Temporal Data Model in Sea Battlefield

2012 ◽  
Vol 246-247 ◽  
pp. 744-748
Author(s):  
Yue Lin Sun ◽  
Lei Bao ◽  
Yi Hang Peng
Keyword(s):  
Data Model ◽  
Object Oriented ◽  
Space Time ◽  
Comprehensive Analysis ◽  
Temporal Data ◽  
Data Types ◽  
Spatio Temporal ◽  
The Right ◽  
Effective Analysis

An effective analysis of the battlefield situation and spatio-temporal data model in a sea battlefield has great significance for the commander to perceive the battlefield situation and to make the right decisions. Based on the existing spatio-temporal data model, the present paper gives a comprehensive analysis of the characteristics of sea battlefield data, and chooses the object-oriented spatio-temporal data model to modify it; at the same time this paper introduces sea battlefield space-time algebra system to define various data types formally, which lays the foundation for the establishment of the sea battlefield spatio-temporal data model.

Residual Deformation of a Hard-Coated Valve Seat Subjected to Thermal Shocks

2010 ◽  
Author(s):  
Jean-Philippe Mathieu ◽  
Jean-Franc¸ois Rit ◽  
Je`roˆme Ferrari ◽  
David Hersant
Keyword(s):  
Welding Process ◽  
Residual Deformation ◽  
The Body ◽  
Dominant Effect ◽  
Welding Temperature ◽  
Physical Test ◽  
Physical Testing ◽  
A Chain ◽  
Globe Valve ◽  
Thermal Shocks

Most safety related valves in EDF’s nuclear plant must prove their ability to sustain thermal shocks of approximately 240K amplitude. This paper evaluates the simulation of a globe valve tested for thermal shocks. Since the physical test campaign showed inadequate internal sealing, the simulation focuses on the residual deformation of the hard alloy, planar seat, welded on successive body designs. This deformation is the result of the thermal loadings first induced by the welding process, then by fluid flow inside the valve. A chain of 3D simulations successively computes: a welding temperature transient in the body, the resulting strain hardening — especially in the seat vicinity —; temperature transients in the flow and the valve parts, and the resulting strains in the body causing a bump deformation of the seat surface. This end result agrees with measurements on the tested valve specimen. We show that inaccurate results are obtained on simpler assumptions, such as no welding, and we give insights on the dominant effect of the first hot, cold, hot transient over other profiles. Finally, the agreement we obtain on deformation predictions is toned down by an unsatisfactory sealing prediction, as well as the complexity and duration of the simulation chain compared with physical testing.

Tool Approach Directions for Machining Protrusion and Depression Features in an Object

1990 ◽  
Author(s):  
Chandrasekhar Karra ◽  
Thomas A. Phelps
Keyword(s):  
Product Development ◽  
Product Design ◽  
Tool Path ◽  
Low Cost ◽  
Production Costs ◽  
Competitive Market ◽  
Process Plans ◽  
Manufacturing Problems ◽  
Lower Production

Abstract The success of any industry in today’s highly competitive market is largely dependent on its ability to produce quality products, quickly and at low cost. Evaluating the effect of a product design on its manufacture is crucial in developing efficient designs. Any potential manufacturing problems detected at this stage can be corrected by modifying the design, leading to shorter product development cycles and lower production costs. This paper presents an algorithm to determine feasible tool approach directions. The algorithm is based on detecting if any part of the object obstructs the tool path. The basis for the algorithm is determining feasible approach directions and clearances around a planar polygonal face. The algorithm is applicable to both protrusions and depressions. The information is useful in performing manufacturability analysis of designs and develop process plans.

scholarly journals Development of Product and Packaging Label for Kao-Taen (Rice Cracker) of the Agro-group of Kao Kwang Tong Sub-district, Nong Chang District, Uthaithani Province

2016 ◽  
Vol 12 (8) ◽  
pp. 171 ◽  
Author(s):  
Tawat Payim
Keyword(s):  
Product Development ◽  
Product Design ◽  
Low Cost ◽  
Key Factors ◽  
Research Results

<p>This research was aimed to develop the product and packaging label for Kao-Taen (rice cracker) of the agro-group of Kao Kwang Tong sub-district, Nong-Chang district, Uthaithani province. It explored and developed Kao-Taen product using materials within the community, and evaluated the product design and packaging label by specialists. <strong></strong></p><p>The research results suggested the outcome of product development, with Kao-Taen of 3 cm. in diameter and 1.5 cm. thick, the size allows for more convenient consumption by consumers. The design of packaging label in style 3 with mean 4.92 was considered most appropriate. The key factors contributing to the community product development included available materials in the community, community’s self-capability, presentation of community uniqueness, and low cost. </p>

Interactive Product Design Selection With an Implicit Value Function

2002 ◽  
Author(s):  
K. Maddulapalli ◽  
S. Azarm ◽  
A. Boyars
Keyword(s):  
Product Design ◽  
Decision Maker ◽  
Trial Design ◽  
Value Function ◽  
Automated Method ◽  
Design Alternatives ◽  
Interactive Product ◽  
Electric Drill ◽  
Selection For ◽  
Design Selection

We present an automated method to aid a Decision Maker (DM) in selecting the ‘most preferred’ from a set of design alternatives. The method assumes that the DM’s preferences reflect an implicit value function that is quasi-concave. The method is iterative, using three approaches in sequence to eliminate lower-value alternatives at each trial design. The method is interactive, with the DM stating preferences in the form of attribute tradeoffs at each trial design. We present an approach for finding a new trial design at each iteration. We provide an example, the design selection for a cordless electric drill, to demonstrate the method.

scholarly journals Research Regarding Physical Testing in the Military Pentathlon at the 50 M Race with Obstacles

2019 ◽  
Vol 24 (1) ◽  
pp. 29-37
Author(s):  
Ioan Sabin Sopa ◽  
Marcel Pomohaci
Keyword(s):  
Research Methods ◽  
Statistical Significance ◽  
Control Group ◽  
Military Students ◽  
Physical Test ◽  
Two Samples ◽  
Physical Testing ◽  
Experiment Method ◽  
The Military

Abstract The research started from the necessity of finding new ways to physical test the military students that are part of the military pentathlon 50 m race with obstacles team. The research methods used was the experiment method, using two groups: the first group was the control group and the second the experiment group. The experiment consisted in testing the students at: 50 m speed running, 800 m resistance running, push-ups, and specific testing like: 50 m swimming with obstacles, 8 km run in varied terrain. The results of our investigation showed that calculation of the statistical significance of the differences between the averages of the two samples showed significant values at p>0.05, n-1, at the following parameters: running 800 m (t = 2.71> 2.13 - p = 0.05); push-ups (t = 3.01> 2.95 - p = 0.05); freestyle swimming 50m (t = 2.81> 2.13 - p = 0.05).

scholarly journals Characterizing Big Data Management

10.28945/2192 ◽  
2015 ◽  
Author(s):  
Rogério Rossi ◽  
Kechi Hirama
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Big Data ◽  
Data Management ◽  
Process Management ◽  
Three Dimensions ◽  
Storage And Retrieval ◽  
Human Aspects ◽  
Business Approach ◽  
Support Decision Making

[The final form of this paper was published in the journal Issues in Informing Science and Information Technology.] Considering that big data is a reality for an increasing number of organizations in many areas, its management represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial dimensions to facilitate the management of big data in any organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management must be supported by technology, people and processes; hence, this article discusses these three dimensions: the technologies for storage, analysis and visualization of big data; the human aspects of big data; and, in addition, the process management involved in a technological and business approach for big data management.

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