NAMLIKNI OʻLCHASH USULLARINI TAHLILI
Keywords:
Kalit so‘zlar: namlikni o‘lchash, gravimetrik usul, elektr qarshiligi, dielektrik xususiyatlari, NIR spektroskopiya, Karl Fischer titrlash, yadro magnit rezonans.Abstract
Ushbu maqolada kukunli materiallarda namlikni o‘lchashning asosiy usullari haqida batafsil ma’lumot berilgan. Gravimetrik usul, elektr qarshiligi va dielektrik xususiyatlari, yaqinning infraqizil reflektans (NIR) spektroskopiyasi, Karl Fischer titrlash usuli va yadro magnit rezonans usuli kabilar namlikni aniqlashda qo‘llaniladi. Har bir usulning afzalliklari va kamchiliklari ko‘rib chiqilgan.
References
Uljaev E., Narzullayev Sh.N., Norboev O.N., Substantiation of application of artificial neural networks for creation of humidity measuring devices// International Vritual Conference On Innovative Thoughts, Research Ideas and Inventions in Sciences. NewYork, USA. 2021. – pp. 86-92.
Uljaev E., Narzullayev Sh.N., Norboev O.N., Abdikhalilov O.U., Moisture meter for powder bulk materials // International Consortium on Academic, Trends on Education and Science. London, England, 2021. – pp. 115-117.
Uljayev E., Usmanova X.A., Turgunbayev A., Igamberdiyev X.Z., Ismatullayev P.R., Tulbayev F.A., Uljayev Z.E., Pardayev G.E., Norboyev O.N., Jumayev Sh.SH., Sochiluvchan materiallarning sig‘imli nam o‘lchagichi // Ixtiro uchun guvohnoma № IAP 05578, 17.03.2018 й.
Uljaev E., Ubaydullaev U.M., Narzullayev Sh.N., Khudoyberdiev E.F., Gradient algorithms for artificial neuron network teaching // International Conference on Innovations Energy and Cleaner Production. Silicon Valley, California-USA, 2021. – рр. 1-7.
Uljaev E., Ubaydullaev U.M., Narzullaev Sh.N., Capacity transformer of coaxial and cylindrical form of humidity meter // Chemical Technology, Control and Management. 2020. Vol. 2020: Iss. 4, Article 4, – pp. 23-30, https://doi.org/10.34920/2020.4.23-30.
Uljaev E., Narzullayev S., Utkir U., Shoira S., Increasing the Accuracy of Calibration Device for Measuring the Moisture of Bulk Materials // Lecture Notes in Networks and Systems. 2022. vol 305, – рр. 204-213. Springer, Cham. https://doi.org/10.1007/978-3-030-83368-8_20.