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Indexed by:Journal Papers

Date of Publication:2024-05-01

Journal:Journal of Jilin University(Engineering and Technology Edition)

Key Words:Micro-milling; aluminum alloy LF21; top burr; prediction mode； process optimization

Abstract:Aluminum alloy LF21 has low yield strength and is prone to plastic deformation, and is easy to produce burs in micro-miling process. The size of the top burr is the largest, which has a great impact on the quality of the parts, and even causes the parts to be scrapped in severe cases. At present, the research on LF21 micro-miling burr has just started. Burr size is dificult to predict accurately, and the influence of processing parameters on burr size is still unknown. A prediction model of top burr size based on response surface method is established, and experiments are conducted to verify the yalidity of the prediction model. Based on response surface method, the interaction efect of cutting process parameters on top burr size is investigated. Finally, the optimization of process parameters is realized with the aim of minimizing the top burr size of micro-miling aluminum alloy LF21.