Meaning
Analytical algorithms utilized in thermal and moisture analysis estimate a variable baseline between two points of a measurement curve to isolate the peak area of interest. Through dynamic linear baseline interpolation, the instrument software calculates a straight line connecting the start and end points of a transition or reaction peak, accounting for baseline shifts during the test. This technique is applied when the background signal changes linearly over the duration of a sample run.
Signal Extraction
During the heating of polymer pellets in a moisture analyzer, the baseline signal often rises or falls due to heating effects or gradual sensor drift. This interpolation method corrects for this drift by dynamically adjusting the baseline at each point along the curve, ensuring that only the moisture peak area is integrated. This algorithm prevents the underestimation or overestimation of moisture, which is critical for verifying that hygroscopic resins have been sufficiently dried before processing.
Moulding Quality
Inadequate moisture analysis caused by incorrect integration can result in the processing of wet resin, leading to hydrolytic degradation during moulding. This molecular degradation decreases the impact strength of the finished components, leading to premature field failures. Utilizing this interpolation method ensures highly reproducible moisture data, helping moulders maintain consistent process settings.
Algorithm Verification
Users must verify that the selected start and end points for the interpolation correspond to stable regions of the measurement curve. If the baseline exhibits non-linear behavior due to severe sensor fouling or rapid temperature swings, a linear interpolation may introduce errors. Regular system validation using certified water standards helps confirm that the integration algorithm is performing correctly under standard testing conditions.
