Electrical Steel ›› 2022, Vol. 4 ›› Issue (4): 38-.
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ZHANG Hongling, JIN Xin, XIANG Qian, XIONG Libo,CHEN Cihui, WANG Xin
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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 
ZHANG Hongling, JIN Xin, XIANG Qian, XIONG Libo, CHEN Cihui, WANG Xin. Experimental study on machined surface roughness of high grade silicon steel tensile specimen based on response surface#br#[J]. Electrical Steel, 2022, 4(4): 38-.
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http://www.bwjournal.com/dgg/EN/Y2022/V4/I4/38