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- Xinyue Huang Jun Shen Yongbin Zheng
- Beijing Institute of Aeronautical Materials, Beijing, 100095, China
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- The experimental data of material property from testing laboratory are
becoming more and more important. They are widely used in the material
property model, the material product quality control and engineering
designation. However, it is difficult sometimes to collect these data
from labs because the computer platforms are very different. During the
past a few decades, they developed their own databases or e-files for
their daily testing data. The data format, field name or unit for the
same property item could be different. In this paper, the authors tried
to develop a data integrate system based ASP. From this system, the data
from various sources, such as the e-file of EXCEL and databases of DBASE
III and FOXpro, are collected and put into the data warehouse designed
for material property based on SQL Sever.
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- The meaningful data of material properties should be a integrated data
set. Include the original state of raw material, the process procedure
and the testing environment and loading…
The collected data should have the parameters and results covered
all the above aspects. The data acquisition could be a long continuous
work so that the information of material could be used for statistics
and meaningful.
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5
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- The information of material in a industry system mostly have to be got together from
many groups, in each one only a subclass can be found. During the past
decades, every group developed their own computer system to store their
daily data with various formats. These data , if wanted to collect, a
lots of exchanging work are needed. How to organize these data for the
convenience of collecting and retrieving?
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- (1) Identifications
- These are necessary for the information organization
- The identification of material, manufacturing factory, the lab of the
testing works.
- (2) The background parameters of the material.
- Such as: the chemical components, the metallurgical procedures, the
mill heat treatment, the rolling procedure
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- (3) The preparation of specimen
- The machinery of specimen, the configuration, the surface, shape, with
or without notches
- (4) The testing conditions
- Such as: the temperature, the environment, the applied loading, the
speed, the measurement
- (5) The data process
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