Design of band saw cutting load testing system

NI Jing1, TANG Hai-tian1, LIU Xiang-qi2, LIU Xiao-chen1

(1. School of Mechanical Engineering, Hanzhou Dianzi University, Hangzhou 310018, China;

2. Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou 310018, China)

Abstract: Aiming at the requirement of cutting precision and efficiency of metal band sawing machine, a sawing load detection system of band sawing machine was designed, a expert system intelligent recognition strategy based on rough set data analysis(RSDA) was proposed. Cutting vibration signal was real-time collected by this system, the eigenvalue which was extracted by signal processing part was stored in database of expert system, cutting load was recognized through the comparative analysis of diagnostic model. The results indicate that, the cutting load detection system has characteristics of high recognition rate and fast response, the detection precision can reach one thousandth of load testing range. This system can meet the needs of online identification of band saw cutting load.

Key words: rough set data analysis(RSDA); band sawing machine; sawing load; expert system