PCM mechanical properties

Description

Polymer composite materials (PCMs) are multi-component materials whose reinforcing and binding fillers possess significantly different physical and chemical properties. Mechanical properties are one of the most important indicators that can affect the entire life cycle of PCMs. Experimental measurements are the most common and classical approach to studying the mechanical properties of PCMs; however, they require significant time and money. Considering the resource intensity and duration of the empirical measurement processes of PCM properties, as well as the necessity to determine such properties to meet the high requirements of PCM production, the aim of this work was to create a method for predicting the main properties of PCMs based on machine learning algorithms. During the study, a dataset was obtained, including information about empirically measured mechanical properties of PCMs, manufacturing technology, binding properties, main fabric properties, main thread properties (warp), and main thread properties (weft). Using the obtained dataset, a machine learning model based on the LASSO algorithm was trained to predict the mechanical properties of PCM using information about manufacturing technology, binding properties, main fabric properties, main thread properties (warp), and main thread properties (weft). The LASSO algorithm demonstrated a high R2 value, reaching 96%. These results indicate the potential application of this algorithm in further research and its important practical significance for improving the processes and quality of manufacturing new PCMs.

Steps to reproduce

The evaluation of the mechanical properties of PCMs included tensile, bending, strength, and elasticity tests, as well as measuring the density of the PCMs. For testing, samples were cut from the PCM plates, representing the smallest possible sample for numerical tests to determine the effective material parameters of the composite. PCM products were manufactured using three different methods - RTM (Resin Transfer Moulding), vacuum infusion, and hot pressing. For testing the PCM samples, the following were used: Zwick/Roell Z100 universal testing machine (Germany); Ohaus Adventurer Pro AV264 analytical scales (USA), and France Etuves XU112 drying oven (France). Testing of PCM samples was conducted according to the methods outlined in GOST R 56785-2015 "Polymer Composites. Test method for tensile testing of flat specimens", GOST R 33519-2015 "Polymer Composites. Test method for compression at normal, elevated, and reduced temperatures", GOST R 56805-2015 (ISO 14125:1998) "Polymer Composites. Methods for determining mechanical characteristics in bending", and GOST 15139-69 "Plastics. Methods for determining density (bulk density)".

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