@article{suteu_thermal_2024,
	title = {Thermal transfer analysis of machines used for the treatment of textile materials},
	volume = {75},
	issn = {12225347},
	url = {https://www.revistaindustriatextila.ro/images/2024/3/007%20MARIUS%20DARIUS%20%C8%98UTEU%20INDUSTRIA%20TEXTILA%20no.3_2024.pdf},
	doi = {10.35530/IT.075.03.202352},
	abstract = {The present paper aims to introduce a comprehensive thermal analysis of the sizing-finishing machine (Squeezing
Pader Machine) to identify the overheating areas to organise maintenance activities. As there is no universal application
for checking the condition of a machine, specific methods must be used depending on the characteristics of the
machines being monitored, as machine condition monitoring is very important in terms of productivity, economic benefits
and maintenance. The thermal analysis of the equipment in this work paper, has an important role (for planning
maintenance activities), because this machine ensures optimal loading with different material treatment solutions,
intended for mattresses, according to customer requirements. In the present paper, the authors conducted research on
the whole technological flow to plan predictive maintenance activities using online monitoring methods. The
mathematical modelling of the data obtained from the thermal analysis of the engines carried out based on the
polynomial regression is used to predict the evolution of the temperatures along the analysed lines outside the
measurement interval for each engine analysed. In this sense, the authors propose online monitoring of the motors that
have the role of stretching and transporting the material, which is not included in the real-time temperature monitoring
in the machine software, as the rest of the motors are monitored. Regular monitoring of motors with the help of
thermography can help identify potential problems before they become serious, allowing preventive maintenance to
improve the equipment’s reliability and efficiency.},
	number = {03},
	urldate = {2024-07-02},
	journal = {Industria Textila},
	author = {Șuteu, Marius Darius and Pancu, Rareș and Vesselenyi, Tiberiu and Bohm, Gabriella and Doble, Liliana},
	month = jun,
	year = {2024},
	pages = {302--309},
}