Evaluating FDM Process Parameter Sensitive Mechanical Performance of Elastomers at Various Strain Rates of Loading
To optimize the mechanical performance of fused deposition modelling (FDM) fabricated parts, it is necessary to evaluate the influence of process parameters on the resulting mechanical performance. The main focus of the study was to characterize the influence of the initial process parameters on the...
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doaj-2adc7bfc888843db8e909124e7e8be3a2020-11-25T03:02:15ZengMDPI AGMaterials1996-19442020-07-01133202320210.3390/ma13143202Evaluating FDM Process Parameter Sensitive Mechanical Performance of Elastomers at Various Strain Rates of LoadingMuhammad Salman Chaudhry0Aleksander Czekanski1Department of Earth and Space Science, York University, Toronto, ON M3J 1P3, CanadaDepartment of Mechanical Engineering, York University, Toronto, ON M3J 1P3, CanadaTo optimize the mechanical performance of fused deposition modelling (FDM) fabricated parts, it is necessary to evaluate the influence of process parameters on the resulting mechanical performance. The main focus of the study was to characterize the influence of the initial process parameters on the mechanical performance of thermoplastic polyurethane under a quasi-static and high strain rate (~2500 s<sup>−1</sup>). The effects of infill percentage, layer height, and raster orientation on the mechanical properties of an FDM-fabricated part were evaluated. At a quasi-static rate of loading, layer height was found to be the most significant factor (36.5% enhancement in tensile strength). As the layer height of the sample increased from 0.1 to 0.4 mm, the resulting tensile strength sample was decreased by 36.5%. At a high-strain rate of loading, infill percentage was found to be the most critical factor influencing the mechanical strength of the sample (12.4% enhancement of compressive strength at 100% as compared to 80% infill). Furthermore, statistical analysis revealed the presence of significant interactions between the input parameters. Finally, using an artificial neural networking approach, we evaluated a regression model that related the process parameters (input factors) to the resulting strength of the samples.https://www.mdpi.com/1996-1944/13/14/3202FDMhigh strain rateKolsky bar |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Muhammad Salman Chaudhry Aleksander Czekanski |
spellingShingle |
Muhammad Salman Chaudhry Aleksander Czekanski Evaluating FDM Process Parameter Sensitive Mechanical Performance of Elastomers at Various Strain Rates of Loading Materials FDM high strain rate Kolsky bar |
author_facet |
Muhammad Salman Chaudhry Aleksander Czekanski |
author_sort |
Muhammad Salman Chaudhry |
title |
Evaluating FDM Process Parameter Sensitive Mechanical Performance of Elastomers at Various Strain Rates of Loading |
title_short |
Evaluating FDM Process Parameter Sensitive Mechanical Performance of Elastomers at Various Strain Rates of Loading |
title_full |
Evaluating FDM Process Parameter Sensitive Mechanical Performance of Elastomers at Various Strain Rates of Loading |
title_fullStr |
Evaluating FDM Process Parameter Sensitive Mechanical Performance of Elastomers at Various Strain Rates of Loading |
title_full_unstemmed |
Evaluating FDM Process Parameter Sensitive Mechanical Performance of Elastomers at Various Strain Rates of Loading |
title_sort |
evaluating fdm process parameter sensitive mechanical performance of elastomers at various strain rates of loading |
publisher |
MDPI AG |
series |
Materials |
issn |
1996-1944 |
publishDate |
2020-07-01 |
description |
To optimize the mechanical performance of fused deposition modelling (FDM) fabricated parts, it is necessary to evaluate the influence of process parameters on the resulting mechanical performance. The main focus of the study was to characterize the influence of the initial process parameters on the mechanical performance of thermoplastic polyurethane under a quasi-static and high strain rate (~2500 s<sup>−1</sup>). The effects of infill percentage, layer height, and raster orientation on the mechanical properties of an FDM-fabricated part were evaluated. At a quasi-static rate of loading, layer height was found to be the most significant factor (36.5% enhancement in tensile strength). As the layer height of the sample increased from 0.1 to 0.4 mm, the resulting tensile strength sample was decreased by 36.5%. At a high-strain rate of loading, infill percentage was found to be the most critical factor influencing the mechanical strength of the sample (12.4% enhancement of compressive strength at 100% as compared to 80% infill). Furthermore, statistical analysis revealed the presence of significant interactions between the input parameters. Finally, using an artificial neural networking approach, we evaluated a regression model that related the process parameters (input factors) to the resulting strength of the samples. |
topic |
FDM high strain rate Kolsky bar |
url |
https://www.mdpi.com/1996-1944/13/14/3202 |
work_keys_str_mv |
AT muhammadsalmanchaudhry evaluatingfdmprocessparametersensitivemechanicalperformanceofelastomersatvariousstrainratesofloading AT aleksanderczekanski evaluatingfdmprocessparametersensitivemechanicalperformanceofelastomersatvariousstrainratesofloading |
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1724690589146939392 |