Research and Exploit on the Integrated System of Plastic Mold CAD/CAE

2012 ◽  
Vol 503-504 ◽  
pp. 159-162
Author(s):  
Ya Ping Lu ◽  
Lie Qin Wu ◽  
Meng Chen
Keyword(s):  
Optimum Design ◽  
Large Scale ◽  
Integrated System ◽  
Sql Server ◽  
Seamless Integration ◽  
Material Parameters ◽  
Sql Server Database ◽  
Plastic Mold

An Integrated System of Plastic Mold CAD/CAE for key parts of large scale plastic mold is established, which consists of the three subsystems the CAD subsystems, the CAE subsystems and the materials query subsystem. The functions of the integrated system are realized based on Visual Studio platform, by using SQL Server Database, Pro/E, Pro/TOOLKIT and ANSYS Optimum Design. The integrated system provides seamless integration functionality through sharing and exchange of the same parameters between the CAD subsystem and the CAE subsystem. The parameters of the parts are saved in the SQL Server in the integrated system of plastic mold CAD/CAE. Firstly, the parameters values can be identified by CAD primary design in the CAD subsystem; secondly, The CAE subsystem reads these parameters and gains the material parameters from the materials query subsystem. Then, the remote optimization is conducted in the CAE subsystem; lastly, the CAD subsystem obtains final parameters values from the CAE subsystem, according to the results of remote optimization

Research on Remote Optimization System for Key Parts of Large Scale Plastic Mold

2012 ◽  
Vol 462 ◽  
pp. 904-908
Author(s):  
Meng Chen ◽  
Cao Wei Chen ◽  
Long Shan Wang ◽  
Ya Ping Lu ◽  
Lei Zhang
Keyword(s):  
Large Scale ◽  
Parametric Design ◽  
Parametric Modeling ◽  
Web Page ◽  
Optimum Result ◽  
Optimization System ◽  
Sql Server Database ◽  
Material Load ◽  
The Web ◽  
Plastic Mold

A remote finite element optimization system for key parts of large scale plastic mold is described. The functions of the system are realized using ASP.NET, SQL Server database and ANSYS optimum design. The parameters of geometry, material, load, and optimization are input on the web page. The system can query material properties of the mold, such as modulus of elasticity and Poisson's ratio from the material parameters query system. The key parts of the large scale plastic mold are modeled parametrically by the ANSYS Parametric Design Language (APDL). The codes of parametric modeling are encapsulated on the server. The parametric model reads and optimizes these parameters by the remote server. The optimum result could be browsed on the web page. The system lowers the demands of the relative knowledge about ANSYS which the designer should have.

scholarly journals Revealing the Challenges of Smart Rainwater Harvesting for Integrated and Digital Resilience of Urban Water Infrastructure

Water ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 1902
Author(s):  
Martin Oberascher ◽  
Aun Dastgir ◽  
Jiada Li ◽  
Sina Hesarkazzazi ◽  
Mohsen Hajibabaei ◽  
...  
Keyword(s):  
Large Scale ◽  
Rainwater Harvesting ◽  
Data Communication ◽  
Integrated System ◽  
Coupled Systems ◽  
Urban Resilience ◽  
System Failures ◽  
Household Level ◽  
Performance Improvements ◽  
Smart Water

Smart rainwater harvesting (RWH) systems can automatically release stormwater prior to rainfall events to increase detention capacity on a household level. However, impacts and benefits of a widespread implementation of these systems are often unknown. This works aims to investigate the effect of a large-scale implementation of smart RWH systems on urban resilience by hypothetically retrofitting an Alpine municipality with smart rain barrels. Smart RWH systems represent dynamic systems, and therefore, the interaction between the coupled systems RWH units, an urban drainage network (UDN) and digital infrastructure is critical for evaluating resilience against system failures. In particular, digital parameters (e.g., accuracy of weather forecasts, or reliability of data communication) can differ from an ideal performance. Therefore, different digital parameters are varied to determine the range of uncertainties associated with smart RWH systems. As the results demonstrate, smart RWH systems can further increase integrated system resilience but require a coordinated integration into the overall system. Additionally, sufficient consideration of digital uncertainties is of great importance for smart water systems, as uncertainties can reduce/eliminate gained performance improvements. Moreover, a long-term simulation should be applied to investigate resilience with digital applications to reduce dependence on boundary conditions and rainfall patterns.

scholarly journals SNIP Light User Manual

2020 ◽  
Author(s):  
Andrew P. Tarko ◽  
Jose Thomaz ◽  
Mario Romero
Keyword(s):  
Data Storage ◽  
Traffic Safety ◽  
Road Safety ◽  
Cost Effective ◽  
Sql Server ◽  
University Center ◽  
Metropolitan Planning ◽  
Light User ◽  
Sql Server Database ◽  
Original Component

A systemic approach to identifying road locations that exhibit safety problems was provided by the Safety Needs Identification Program (SNIP and SNIP2) developed by the Purdue University Center for Road Safety (CRS). The new version SNIP Light has been developed to provide other uses with planning level traffic safety analysis capability for a wider range of uses including Metropolitan Planning Agencies (MPOs) who want the tool for planning cost-effective safety programs in their metropolitan areas. The SNIP Light reduces the demand of computing and data storage resources and replaces the SQL server database system an integrated module coded in-house which is considerably faster than the original component. Furthermore, certain proficiency required to install and use the old version is no longer needed thanks to the intuitive single-window interface and executing file operations in the background without the user’s involvement. Some operations, such as optimizing funding of safety projects, are removed to simplify the tool.

scholarly journals High Dimensional Electromagnetic Interference Signal Clustering Based On SOM Neural Network

2016 ◽  
Vol 20 (1) ◽  
pp. 27
Author(s):  
Hongyi Li ◽  
Di Zhao ◽  
Shaofeng Xu ◽  
Pidong Wang ◽  
Jiaxin Chen
Keyword(s):  
Neural Network ◽  
Electromagnetic Interference ◽  
Large Scale ◽  
Spectral Characteristics ◽  
Simulation Models ◽  
Integrated System ◽  
Interference Signal ◽  
Global Features ◽  
Strongly Nonlinear ◽  
Emc Design

In this paper, we study the spectral characteristics and global representations of strongly nonlinear, non-stationary electromagnetic interferences (EMI), which is of great significance in analysing the mathematical modelling of electromagnetic capability (EMC) for a large scale integrated system. We firstly propose to use Self-Organizing Feature Map Neural Network (SOM) to cluster EMI signals. To tackle with the high dimensionality of EMI signals, we combine the dimension reduction and clustering approaches, and find out the global features of different interference factors, in order to finally provide precise mathematical simulation models for EMC design, analysis, forecasting and evaluation. Experimental results have demonstrated the validity and effectiveness of the proposed method.

Design of PC Remote Monitoring System for Standby Generators

2014 ◽  
Vol 1039 ◽  
pp. 197-202
Author(s):  
Chuan Hong Zhou ◽  
Jin Jie Xiao ◽  
Wei Ren
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
Interface Design ◽  
Database Design ◽  
Sql Server ◽  
Monitoring Device ◽  
Remote Monitoring System ◽  
Remote Server ◽  
Sql Server Database ◽  
Low Efficiency

Currently,some problems exist in the process of using standby generators, such as low efficiency,high cost and late service of artificial overhaul and maintenance.In order to overcome these problems, PC remote monitoring system is designed.This paper mainly introduces the structure composition,function,interface design and SQL Server database design of the system.In addition, the function of communication between the PC remote server and signal monitoring device was tested and the effect was desired

Optimum design of large-scale systems considering material nonlinearities and uncertainties

2019 ◽  
Vol 223 ◽  
pp. 106102
Author(s):  
D. Giagopoulos ◽  
A. Arailopoulos ◽  
I. Chatziparasidis ◽  
N.S. Sapidis
Keyword(s):  
Optimum Design ◽  
Large Scale ◽  
Large Scale Systems

Grid Technologies in Epidemiology

2011 ◽  
pp. 426-443
Author(s):  
Ignacio Blanquer ◽  
Vicente Hernandez
Keyword(s):  
Large Scale ◽  
Heterogeneous Data ◽  
Semantic Integration ◽  
Security And Privacy ◽  
Use Case ◽  
Seamless Integration ◽  
Computationally Intensive ◽  
Art Research ◽  
Additional Constraints

Epidemiology constitutes one relevant use case for the adoption of grids for health. It combines challenges that have been traditionally addressed by grid technologies, such as managing large amounts of distributed and heterogeneous data, large scale computing and the need for integration and collaboration tools, but introduces new challenges traditionally addressed from the e-health area. The application of grid technologies to epidemiology has been concentrated in the federation of distributed repositories of data, the evaluation of computationally intensive statistical epidemiological models and the management of authorisation mechanism in virtual organisations. However, epidemiology presents important additional constraints that are not solved and harness the take-off of grid technologies. The most important problems are on the semantic integration of data, the effective management of security and privacy, the lack of exploitation models for the use of infrastructures, the instability of Quality of Service and the seamless integration of the technology on the epidemiology environment. This chapter presents an analysis of how these issues are being considered in state-of-the-art research.

Application of Computer Technology in Processing of Cadastral Surveying and Mapping Data

1980 ◽  
Vol 34 (1) ◽  
pp. 21-40
Author(s):  
Daniel Cremont
Keyword(s):  
Data Processing ◽  
Large Scale ◽  
Data Bank ◽  
Developed Countries ◽  
Integrated System ◽  
Flexible System ◽  
Bank Management ◽  
Cadastral Maps ◽  
Cadastral Surveying ◽  
Land Information System

During the past ten years, the Institut Géographique National, France (IGN-F), has gained useful experience in the fields of large-scale digitized mapping and data bank management. This paper presents a land information system that would be suitable for developed countries where the updating and matching of topographic and cadastral maps are planned within the framework of an integrated system, as well as for those countries where large-scale maps are not available but the level of development justifies the investment. One simple, flexible system should be established, sophisticated equipment should be avoided, and the data processing limited to reasonable applications. Detailed descriptions of data collecting with stereoplotters and digitizing tables as well as data processing are given. Original methods for processing data for the production of cadastral maps are also presented.

The Application Study of E-Books Resources Integrated System

2010 ◽  
Vol 439-440 ◽  
pp. 140-143
Author(s):  
Xue Dou Yu
Keyword(s):  
Process Design ◽  
Integrated System ◽  
Sql Server ◽  
System Framework ◽  
Electronic Resources ◽  
Application Study

By analyzing the structure of PDF files as well as the characteristics of CORBA technology and taking the information dump from PDF files to SQL Server as an example, the paper illustrates the achievement of integrated system of E-book resources. The paper shows the system framework and process design. With a view to the integration of electronic resources, this paper can play a reference role to the integration of E-books resources.

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