Data for: Photo-optical luminance analysis of transfer films: Measurement principle, data analysis and result plotting
The shown results in this article are meant to be a demonstration of the presented method. The data files included in this archive contain all raw data used for plotting all the figures shown in the article. The shown figures are based on three different, but representative experiments. The file numbers represent our internal identification number (ID). Use the following key to resolve IDs to material names and a short description of the material: ID 546214 (EP-10SCF) refers to a bisphenol A based epoxy (DER 331, DOW) filled with 10 vol.% short carbon fiber (A385, Tenax) and was in-house manufactured. ID 548671 (PA6-10SCF-8Gr) refers to a polyamide 6 (Durethan, Lanxess) filled with 10 vol. % short carbon fibers (A385, Tenax) and 8 vol.% graphite (RGC39A, Superior Graphite) and was in-house manufactured. ID 550187 (PPS-40GR) refers to a polyphenylene sulfide filled with 40 wt.% graphite which is commercially available as TECACOMP PPS TC black 4084 by Ensinger, Germany. To each id belong at least of two files, one with file extension 'proc' and one with 'proc.header.yaml'. The proc file is a tab separated ascii table and contains data recorded by our tribometer as well as data processed from them. The yaml files contain all necessary header information of each respective proc file of which especially the header name and (column) index is important for reproduction purpose. Additionally, id 550187 contains files with extension 'xt' and 'xt.header.yaml'. The xt file is tab separated ascii table and contains the temporally and laterally resolved data of the luminance used for plotting the xt plot. The yaml file, similar for the proc file, contain all necessary header information. Information for importing the data files: All header files follow a standardized serialization format called yaml. The proc and xt files files are tab separated ascii tables. Therefore, all data can be easily read by any programming language of your choice, e.g. python, ruby or matlab. With minimal effort, an import into excel or similar software is also possible.
Steps to reproduce
Conduct friction and wear test.