--- title: "Quantifying and Modeling Photovoltaic Backsheet Cracking" author: Addison G. Klinke, Abdulkerim Gok, Silas I. Ifeanyi, Laura S. Bruckman, Roger H. French date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Cracking} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- 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_2018_non-destructive]. 97 observations of 5 variables are included: * __Response - dAvgNorm:__ average crack depth normalized by the backsheet's inner layer thickness, dimensionless. * __Stress - uva360dose:__ cumulative, integrated irradiance dose received by the sample for all wavelengths $<$ 360 $nm$, in $MJ/m^2$. * __Mechanism - crys730:__ percent crystallinity of polyethylene regions determined from the ratio of Fourier transform infrared (FTIR) spectroscopy peak intensities at 731 and 720 $cm^{-1}$ [@huang_attenuated_1992], dimensionless. * __Mechanism - carb1715:__ ketone carbonyl index determined from the ratio of FTIR peak intensities at 1715 and 2851 $cm^{-1}$, dimensionless. * __Mechanism - carbPC1:__ 1st principal component score for the carbonyl region between 1500 and 1800 $cm^{-1}$. Load data and run code to build netSEM ------------------------------------------ ```{r, message=FALSE, eval=FALSE} ## Load the crack data set and preview column metadata data(crack) ?crack ## Run netSEMp1 model ans1 <- netSEMp1(crack) ## Plot the network model for principle 1 plot(ans1, cutoff = c(0.4, 0.5, 0.6)) ## Run netSEMp2 model ans2 <- netSEMp2(crack) ## Plot the network model for principle 2 plot(ans2, cutoff = c(0.4, 0.5, 0.6)) ``` Network diagram for data -------------------------- dAvgNorm is the endogenous and all other variables are considered as exogenous. Based on the plot, the strongest pathway appears to be uva360dose $\rightarrow$ carb1715 $\rightarrow$ dAvgNorm. This can be confirmed using the `pathwayRMSE()` function. ```{r, out.width="675px", dpi=1000, echo=FALSE, fig.cap="Crack netSEMp1 model"} knitr::include_graphics("crack1.png") ``` ```{r, out.width="800px", dpi=1000, echo=FALSE, fig.cap="Crack netSEMp2 model"} knitr::include_graphics("crack2.png") ``` Reference ----------------------------------- Huang, J. B., J. W. Hong, and M. W. Urban. “Attenuated Total Reflectance Fourier Transform Infra-Red Studies of Crystalline-Amorphous Content on Polyethylene Surfaces.” Polymer (1992) 33: 5173–78. https://doi.org/10.1016/0032-3861(92)90797-Z. Klinke, Addison G, Abdulkerim Gok, Silas I Ifeanyi, and Laura S Bruckman. “A Non-Destructive Method for Crack Quantification in Photovoltaic Backsheets Under Accelerated and Real-World Exposures.” Polymer Degradation and Stability (2018) 153: 224–54. https://doi.org/10.1016/j.polymdegradstab.2018.05.008.