基于小波分析的金刚石锯片锯切混凝土加工状态及表面质量分析  

Machining State and Surface Quality Analysis of Diamond Saw Blade Sawing Concrete Based on Wavelet Analysis

作　　者：羊自力 胡珊珊[1] 王艳[1] 王成勇[2] 陈波[1] Yang Zili;Hu Shanshan;Wang Yan;Wang Chenyong;Chen Bo

机构地区：[1]广西大学 [2]广东工业大学

出　　处：《工具技术》2018年第4期45-51,共7页Tool Engineering

基　　金：国家自然科学基金(51565005);广西制造系统与先进制造技术重点实验室资助项目(12-071-11S07)

摘　　要：针对不同骨料加工性差异较大,导致混凝土锯切情况复杂多变、难以进行加工状态及表面质量有效监控的问题,利用金刚石锯片分别对软骨料、硬骨料及混凝土展开锯切试验,利用小波分析多尺度转换研究了硬软骨料单一成分锯切力信号在不同尺度上的基本特征及其与关联维数的关系,并利用单一成分关联维数特征判断混凝土加工状态及表面质量。结果表明,锯切力的a7尺度信号特征可用于判断硬软骨料的比重,d3尺度信号关联维数代表了混凝土材料的脆性断裂程度及表面加工质量。Experiments of concrete sawing were carried out on hard aggregate,soft aggregate and concrete to reveal complicated and random concrete sawing state. Wavelet analysis was used to investigate the basic characteristics of the sawing signals of hard and soft aggregate and its relation with correlation dimension at different scales. The state of concrete processing and surface quality could be determined by correlation dimension of single component. The results show that the a7 scale signal of the sawing force can be used to judge the proportion of hard or soft aggregate,meanwile the correlation dimension of the d3 scale signal represents the degree of brittle fracture and surface quality of concrete.

关 键 词：金刚石锯片 混凝土 小波分析 关联维数 

分 类 号：TU528[建筑科学—建筑技术科学] TG56[金属学及工艺—金属切削加工及机床]