Open AccessAnalyzing and Predicating PH value in Nature Rubber Solidification Process Using Multiple Regression Method
Author(s) -
Zhaohui Sun,
Bingbing Wang,
Fan Zhang,
Lusheng Liao,
Deng Wei-guo,
Yuan Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1798/1/012005
Subject(s) - natural rubber , value (mathematics) , predicate (mathematical logic) , regression analysis , process engineering , mathematics , computer science , statistics , materials science , engineering , composite material , programming language
Acid coagulation is the most common process in nature rubber(NR) processing and the acid concentration in latex is a key factor that will decide the quality of processed rubber. In order to invalid the change of PH value processed with acid concentration on latex clots, a group division experiment is designed to obtain the data of PH value, smell and color in latex clots under different solidification time, mode, and temperature. Then a multiple regression model based on Statistical Product and Service Solutions (SPSS) is used to analyse and predicate the PH value in different conditions. The result shows that predication method can have a good result and the average relative error of PH value is 4.60%.