We can't find the internet
Attempting to reconnect
Something went wrong!
Hang in there while we get back on track
Adaptive Neuro-Fuzzy Inference System to Predict the Release of Microplastic Fibers during Domestic Washing
Summary
A machine learning model was built to predict how many microplastic fibers are released from polyester jeans during home washing based on washing conditions. The model could help manufacturers design less-shedding fabrics, reducing a major source of microplastic pollution entering waterways through laundry.
ABSTRACT Microplastic particles are a burgeoning population crisis in marine environments. This work is to predict the release of microplastic fibers from jeans made from polyester during domestic washing by using of adaptive neuro-fuzzy inference system (ANFIS) model. The advantage of the ANFIS model is to predict the variations between the randomly chosen parameters. This prediction model can be cost-effective and slowed down to study behavior more closely. The consequence of washing duration, temperature, spin speed, detergent types, and conditioner usage was investigated against the microplastic fiber release. The washing temperature, washing duration, spin speed, detergent types, and addition of conditioner are the main factors for this research work. The forecast presentations have been exposed by having a considerably lowered root mean square error value of 3.23 compared with the variant of the experiment as exposed by its standard deviation for the ANFIS version. This ANFIS model will be able to provide a theoretical understanding to enhance and inhibit microplastic fiber release from jeans.
Sign in to start a discussion.
More Papers Like This
Cause of microfibers found in the domestic washing process of clothing; focusing on the manufacturing, wearing, and washing processes
Researchers analyzed microfiber release during the manufacturing, wearing, and washing of synthetic clothing, developing a neural network-based quantification method to identify which stage contributes most to microplastic fiber pollution in marine ecosystems.
Release of synthetic microplastic plastic fibres from domestic washing machines: Effects of fabric type and washing conditions
Researchers measured synthetic microfiber release from domestic washing machines in real household conditions, finding that millions of fibers are shed per wash cycle, with fiber release influenced by fabric type and wash parameters.
Microplastic Release from Domestic Washing
Researchers measured microfiber release from domestic washing of textile materials across five washing cycles, finding that the amount of microplastic fiber shed varied significantly with washing conditions and fiber type, contributing to aquatic microplastic pollution.
Evaluation of microfiber release from jeans: the impact of different washing conditions
Researchers quantified microfiber release from three denim jeans during domestic washing, finding that wash temperature, detergent type, and number of wash cycles all affect the quantity of synthetic microfibers shed into wastewater.
Assessment of microplastics release from polyester fabrics: The impact of different washing conditions
Researchers assessed microplastic fiber release from polyester and polyamide fabrics during simulated washing, finding that fabric construction, fiber type, and washing conditions all influenced the quantity of fibers released. The study provides data to help quantify the contribution of laundry to microplastic emissions in wastewater.