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University of Novi Sad , Novi Sad , Serbia
Preschool Teacher Training and Business Informatics College of Applied Studies "Sirmium" , Sremska Mitrovica , Serbia
Technical faculty “Mihajlo Pupin”, University of Novi Sad , Novi Sad , Serbia
This paper describes how we automated data processing for over 2000 fabric samples that were ripped using MESDAN-LAB tensile Strength Tester in order to determine their respective yielding points. Yield point is defined as a point where a sample start to tear and is presented as an ordered pair of two values. First value represents force that was applied to a sample in order for it to start tearing, while the second tracked value represents elongation in which sample started to tear under the previously mentioned applied force. Several tools and development environments where used in order to automate required data processing that consists of three major parts: preprocessing, processing and postprocessing. One C# console application was written for pre and post data processing, and one Python script was written in order to send preprocessed data to Origin 2021 software for batch processing. Processed data can be further analyzed by hand or trough some data analysis and correlation software such as RapidMiner. This paper does not present results and conclusions of the conducted textile samples analysis and focuses solely on the created data processing workflow. Presented workflow can be used as a template for various similar research in textile sciences.
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