Detecting system  of carbonsulfur analyzer based on multiple nonlinear regression method

HUANG Haijun，WANG Qiaoyi，ZHU Yao，GAO Ruijin
（College of Mechanical Engineering,Hangzhou Dianzi University ，Hangzhou  310018, China）

Abstract：In order to analyze the content of carbon and sulfur elements in the metallic materials precisely and sensitively， a highfrequency infrared carbonsulfur analyzer was  designed. The  structure and operating principle of highfrequency infrared carbonsulfur analyzer was described， and the detecting subsystem was elaborated.The sensitivity of carbonsulfur analyzer was improved by using pyroelectric infrared sensors， ultranarrow band pass filter， lightcone with surface of goldplated and other key technologies. And the lightcone was vacuum packaged with the sensitive element to reduce the influence of interfering gases. The  high linearity of carbonsulfur analysis was readized  in the detection range, through  using multiple nonlinear regression method to analyze a series of standard samples， and processing the data by linear calibration.The research results show that  the detecting system performance is stably and highfrequency infrared carbonsulfur analyzer can analyze the content of carbon and sulfur elements in the metallic materials rapidly with high sensitivity and precision.
Key words：analysis of carbon and sulfur；infrared absorption；detecting system；multiple nonlinear regression；sensitivity