Temperature Calibration Clause Samples
Temperature Calibration. Refer to the Service Mode section of this manual for a detailed explanation of temperature calibration. For Health Care sterilizers use the Steam calibration method. For Scientific units use the Oil Bath calibra- tion method, where required; otherwise the Steam method may be used.
Temperature Calibration. The best standard for TGA temperature calibration is the use of ferromagnetic standards. These materials undergo a reversible, second-order phase transition from the ferromagnetic to the paramagnetic state when a critical temperature (▇▇▇▇▇ temperature) is exceeded and loose the strong magnetization typical of ferromagnetic materials. A magnet appropriately placed above or below the furnace provides the magnetic field that attracts the reference materials placed in the sample holder. When going through the ▇▇▇▇▇ transition the reference material magnetization vanishes resulting in an apparent weight change. Each ferromagnetic material undergoes the ferromagnetic-paramagnetic transition at a reproducible, characteristic temperature that is only determined by the chemical composition of the ferromagnetic sample. A working group under the auspices of the International Congress for Analysis and Calorimetry (ICTAC) selected a series of alloys having ▇▇▇▇▇ temperatures approximately every 200 ºC between 152 and 1116 ºC and the ▇▇▇▇▇ temperatures of these reference materials were determined in an interlaboratory test (▇▇▇▇▇▇▇▇▇, 2003). These materials (alloys of cobalt and nickel) are available from TA Instruments. Alternatively, ▇▇▇▇▇ Point calibration kits spanning between 163°C (Alumel alloy) and 1000°C (Hisat-50 alloy) are available from ▇▇▇▇▇▇-▇▇▇▇▇.
Temperature Calibration. 2.4.1 A temperature bath is prepared at a specified range. Using a CTD to monitor the temperature the ▇▇▇▇▇▇ is allowed to soak while the heater/chiller is allowed to run. The computer polls both the CTD and ▇▇▇▇▇▇ for the values of their onboard thermometers, these values are then stored for processing. After running the desired temperature range the data is plotted and a linear relationship between the two data sets is found. The resultant gain and offset values are then used as coefficients for ▇▇▇▇▇▇’▇ temperature sensor.