How to visually analyze the test results of the thermal shock test chamber?
Visual analysis of the test results of the thermal shock chamber can be used to present the data characteristics and rules clearly and intuitively with the help of a variety of chart types The specific methods are as follows:
Temperature related data change method:
With time as the horizontal axis and temperature as the vertical axis, the actual temperature value corresponding to each time point in the process of cold and heat shock test is connected with a broken line. For tests with multiple temperature shock cycles, the different cycles can be represented by different colored polylines.
Application scenario and function:
It can intuitively show the change of temperature over time during the whole test process, and help analysts quickly understand whether the temperature rises and falls in accordance with the set program, whether there are abnormal temperature fluctuations or temperature holding time does not meet the requirements.
Temperature uniformity distribution method:
Multiple temperature sensors are arranged in different positions of the test chamber to measure the temperature value of each position at the same time. Taking the spatial position of the test chamber as the coordinate axis, the temperature value of each position is represented on the two-dimensional or three-dimensional diagram with color or contour line.
Application scenario and role:
It is used to analyze the temperature uniformity of different positions in the test chamber, find out the hot and cold spots of the temperature distribution, and evaluate the performance of the test chamber and the rationality of the sample placement.
Sample performance data change with temperature method:
with temperature as the horizontal axis and a certain performance parameter of the sample (such as resistance, hardness, strength, etc.) as the vertical axis, the performance parameter values measured at different temperatures are represented by scatter points or curves. If there are multiple samples or different batches of tests, different symbols or colors can be used to distinguish them.
Application scenarios and functions:
It can clearly show the variation trend of sample performance with temperature, help determine the sensitivity of sample performance to temperature and the change rule, and find out the temperature point of sudden change or abnormal performance.
Performance parameter comparison method:
For samples of different models or different materials, under the same cold and thermal shock test conditions, their key performance parameters (such as the thermal expansion coefficient of different materials, the impact strength of different models of products, etc.) are compared and displayed with column charts, line charts or radar charts.
Application scenarios and functions:
It is convenient to intuitively compare the performance difference of different samples under cold and thermal shock, and provide a basis for product selection, material screening or process improvement.
Integrated data parameter combination method:
Multiple performance parameters of temperature, time and sample are combined in a three-dimensional or multidimensional chart, such as using a three-dimensional scatter plot or parallel coordinate plot. In the 3D scatterplot, temperature, time and a certain performance parameter can be taken as three axes respectively, and each data point represents the comprehensive data of a measurement time. In parallel coordinate diagram, different parameters can be used as parallel axes, and the values of each sample on each parameter are represented by lines.
Application scenario and function:
It can show the relationship between multiple parameters at the same time, help analysts grasp the test data as a whole, and find the potential correlation and law between different parameters.
Cyclic performance variation method:
With the number of cold and thermal shock cycles as the horizontal axis and the performance parameters or the rate of change of performance parameters of the sample as the vertical axis, line chart or column chart was drawn. The performance data of the high temperature, low temperature and normal temperature stages in each cycle can be represented by lines and columns of different colors or styles.
Application scenario and role:
It is used to observe the performance trend and stability of the sample after multiple cold and hot shock cycles, evaluate the durability and reliability of the sample, and analyze the law and speed of performance decline.
Temperature related data change method:
With time as the horizontal axis and temperature as the vertical axis, the actual temperature value corresponding to each time point in the process of cold and heat shock test is connected with a broken line. For tests with multiple temperature shock cycles, the different cycles can be represented by different colored polylines.
Application scenario and function:
It can intuitively show the change of temperature over time during the whole test process, and help analysts quickly understand whether the temperature rises and falls in accordance with the set program, whether there are abnormal temperature fluctuations or temperature holding time does not meet the requirements.
Temperature uniformity distribution method:
Multiple temperature sensors are arranged in different positions of the test chamber to measure the temperature value of each position at the same time. Taking the spatial position of the test chamber as the coordinate axis, the temperature value of each position is represented on the two-dimensional or three-dimensional diagram with color or contour line.
Application scenario and role:
It is used to analyze the temperature uniformity of different positions in the test chamber, find out the hot and cold spots of the temperature distribution, and evaluate the performance of the test chamber and the rationality of the sample placement.
Sample performance data change with temperature method:
with temperature as the horizontal axis and a certain performance parameter of the sample (such as resistance, hardness, strength, etc.) as the vertical axis, the performance parameter values measured at different temperatures are represented by scatter points or curves. If there are multiple samples or different batches of tests, different symbols or colors can be used to distinguish them.
Application scenarios and functions:
It can clearly show the variation trend of sample performance with temperature, help determine the sensitivity of sample performance to temperature and the change rule, and find out the temperature point of sudden change or abnormal performance.
Performance parameter comparison method:
For samples of different models or different materials, under the same cold and thermal shock test conditions, their key performance parameters (such as the thermal expansion coefficient of different materials, the impact strength of different models of products, etc.) are compared and displayed with column charts, line charts or radar charts.
Application scenarios and functions:
It is convenient to intuitively compare the performance difference of different samples under cold and thermal shock, and provide a basis for product selection, material screening or process improvement.
Integrated data parameter combination method:
Multiple performance parameters of temperature, time and sample are combined in a three-dimensional or multidimensional chart, such as using a three-dimensional scatter plot or parallel coordinate plot. In the 3D scatterplot, temperature, time and a certain performance parameter can be taken as three axes respectively, and each data point represents the comprehensive data of a measurement time. In parallel coordinate diagram, different parameters can be used as parallel axes, and the values of each sample on each parameter are represented by lines.
Application scenario and function:
It can show the relationship between multiple parameters at the same time, help analysts grasp the test data as a whole, and find the potential correlation and law between different parameters.
Cyclic performance variation method:
With the number of cold and thermal shock cycles as the horizontal axis and the performance parameters or the rate of change of performance parameters of the sample as the vertical axis, line chart or column chart was drawn. The performance data of the high temperature, low temperature and normal temperature stages in each cycle can be represented by lines and columns of different colors or styles.
Application scenario and role:
It is used to observe the performance trend and stability of the sample after multiple cold and hot shock cycles, evaluate the durability and reliability of the sample, and analyze the law and speed of performance decline.
