Quantifying and Modeling Photovoltaic Backsheet Cracking

Addison G. Klinke, Abdulkerim Gok, Laura S. Bruckman, Roger H. French


Data Description

A dataset of cracks in photovoltaic backsheets with inner layers of either ethylene-vinyl acetate or polyethylene exposed to 4,000 hours of continuous UVA irradiance with an intensity of 1.55 \(w/m^2\) at 340 \(nm\) and a chamber temperature of 70\(^\circ\)C. See the associated journal article in Polymer Degradation and Stability for details on obtaining quantitative crack measurements (Klinke et al. 2018).

130 observations of 5 variables are included:

Load data and run code to build netSEM

## Load the crack data set and preview column metadata

## Run netSEM
ans <- netSEMm(crack)

## Subset dataset with three cutoffs
res <- subsetData(ans, cutoff=c(0.4, 0.5, 0.6))

## Plot the network model 
plot(ans, res)

Network diagram for data

dAvgNorm is the endogenous and all other variables are considered as exagenous. Based on the plot, the strongest pathway appears to be uva360dose \(\rightarrow\) carb1715 \(\rightarrow\) dAvgNorm. This can be confirmed using the pathwayRMSE() function.


Huang, J.B., J.W. Hong, and M.W. Urban. 1992. “Attenuated Total Reflectance Fourier Transform Infra-Red Studies of Crystalline-Amorphous Content on Polyethylene Surfaces.” Polymer 33 (24): 5173–8. doi:10.1016/0032-3861(92)90797-Z.

Klinke, Addison G, Abdulkerim Gok, Silas I Ifeanyi, and Laura S Bruckman. 2018. “A Non-Destructive Method for Crack Quantification in Photovoltaic Backsheets Under Accelerated and Real-World Exposures.” Polymer Degradation and Stability. Elsevier.