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Adaptive Neuro-Fuzzy Inference System for Modelling the Effect of Slurry Impacts on PLA Material Processed by FDM

مؤلف البحث
Bahaa Saleh, Ibrahem Maher, Yasser Abdelrhman, Mahmoud Heshmat, Osama Abdelaal
تاريخ البحث
سنة البحث
2021
مجلة البحث
Polymers
الناشر
MDPI
عدد البحث
13
صفحات البحث
17
موقع البحث
https://doi.org/10.3390/polym13010118
ملخص البحث

In this research, the effect of water-silica slurry impacts on polylactic acid (PLA) processed
by fused deposition modeling (FDM) is examined under different conditions with the assistance of
an adaptive neuro-fuzzy interference system (ANFIS). Building orientation, layer thickness, and
slurry impact angle are considered as the controllable variables. Weight gain resulting from water,
net weight gain, and total weight gain are the predicting variables. Results uncover the accomplishment
of the ANFIS model to appropriately appraise slurry erosion in correlation with comparing
real data. Both experimental and ANFIS results are almost identical with average percentage error
less than 5.45 × 10−6. We observed during the slurry impacts tests that all specimens showed an
increase in their weights. This weight gain was finally interpreted to the synergetic effect of water
absorption and the solid particles fragmentations immersed within the specimens due to the successive
slurry impacts.