Advanced machine learning and experimental studies of polypropylene based polyesters tribological composite systems for sustainable recycling automation and digitalization
autor
vastutusandmed
Abrar Hussain, Jakob Kübarsepp, Fjodor Sergejev, Dmitri Goljandin, Irina Hussainova, Vitali Podgursky, Kristo Karjust, Himanshu S. Maurya, Ramin Rahmani, Maris Sinka, Diāna Bajāre, Anatolijs Borodiņecs
allikas
International journal of lightweight materials and manufacture
kirjastus/väljaandja
AVIC Manufacturing Technology Institute Publishing services
ajakirja aastakäik number kuu
vol. 8, 2
ilmumisaasta
leheküljed
p. 252-263
ISSN
2588-8404
Open Access
Open Access
teaduspublikatsioon
teaduspublikatsioon
keel
inglise
võtmesõna
materials computational analysis
polymeric waste
fiber-reinforced composites
klassifikaator
TTÜ struktuuriüksus
Hussain, A., Kübarsepp, J., Sergejev, F., Goljandin, D., Hussainova, I., Podgurski, V., Karjust, K., Maurya, H. S., Rahmani Ahranjani, R., Sinka, M., et al. Advanced machine learning and experimental studies of polypropylene based polyesters tribological composite systems for sustainable recycling automation and digitalization // International journal of lightweight materials and manufacture (2025) vol. 8, 2, p. 252-263.