电工钢 ›› 2022, Vol. 4 ›› Issue (4): 38-.

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基于响应曲面在高牌号硅钢拉伸试样加工面粗糙度试验研究#br#

张宏岭, 金鑫,向前,熊立波,陈慈辉,王心   

  1. 武汉钢铁有限公司 质检中心,湖北 武汉 430083
  • 出版日期:2022-08-28 发布日期:2022-08-24

Experimental study on machined surface roughness of high grade silicon steel tensile specimen based on response surface#br#

ZHANG Hongling, JIN Xin, XIANG Qian, XIONG Libo,CHEN Cihui, WANG Xin   

  1. Quality Inspection Center ,Wuhan Iron and Steel Co., Ltd., Wuhan 430083,China
  • Online:2022-08-28 Published:2022-08-24

摘要: 文中采用高速动态加工技术,探究对高牌号硅钢拉伸试样加工面粗糙度的影响规律,采用基于曲面响应曲面法设计试验,建立了预测模型,运用方差分析法检验模型,结合高速动态加工理论分析加工面粗糙度的影响因素。试验结果表明:主轴转速及其平方项对加工面粗糙度影响最大,其次是轴向切深,最后是每齿进给量及其与主轴转速的交互作用,建立的加工面预测模型精确度较高,为实际的加工生产提供参考。可根据实际加工条件运用响应曲面设计,结合动态加工理论,应用于其他材料拉伸试样的高效加工。

关键词: 响应曲面, 粗糙度, 预测模型, 铣削参数, 拉伸试样

Abstract: In this paper, high-speed dynamic machining technology was adopted to explore the influence law of machining surface roughness of high grade silicon steel tensile specimen. The surface response surface method was adopted to design the test, and a prediction model was established. The variance analysis method was used to test the model, and the influencing factors of machining surface roughness were analyzed combined with high-speed dynamic machining theory.The experimental results showed that the spindle speed and its square term had the greatest influence on the roughness of the machined surface, followed by the axial cutting depth, and finally the feed per tooth and its interaction with the spindle speed. The machined surface prediction model established had a high accuracy, which provided a reference for the actual machining production. According to the actual processing conditions, response surface design and dynamic processing theory can be applied to the efficient processing of tensile specimens of other materials. 

Key words: response surface, roughness, prediction model, milling parameters, tensile samples