Educational

Process heat transfer models produce different results depending on the specific range(s) of input used. Ensuring that a model is robust...

Process heat transfer models produce different results depending on the specific range(s) of input used. Ensuring that a model is robust and accurate across the range of inputs involves determining the amount or degree of that variation. This sensitivity analysis allows both physical and black-box models to be refocused or refined most effectively. 

In the context of heat transfer applications, sensitivity analysis is an important preprocessing step to identify a subset of the many input variables for the initial model building effort. Further, input values, including measurements, often include some uncertainty that the models should take into account. In this webinar, we review common local and global approaches to determine the sensitivity of a model output to specific input.

Supplementary Materials (Please begin with reading the document titled Webinar Supplementary Links. This PDF contains instructions on how to access the additional files included in the download folder.)