ALGORITHM FOR PREDICTING THE ROUGHNESS OF THE INNER SURFACE DURING TURNING PROCESS

2023

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DOI 10.48081/wuty7402
Data confidence 70 medium
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Abstract

The article analyzes the main technological factors affecting the quality of parts, specifically the quality of the treated surface or the roughness of the surface of the part. Turning (boring) was considered as an example, and a number of measures aimed at improving the quality of the surface at the design stage were also proposed. A simulation stochastic model of surface roughness shaping during surface turning was proposed. Based on this model, an algorithm and a computer program were developed to calculate the roughness at the design stage. The initial data for modeling are the main angle in the plan φ, the auxiliary angle in the plan φ1, the radius at the tip of the cutter r and the feed S, as factors that most strongly affect the roughness during boring. An experiment was carried out, where not only average values were obtained, but also histograms of the distribution of roughness parameters, the adequacy of this model was proved. When calculating the roughness, additional factors were taken into account, for example, the condition of the machine, which made it possible to correct the simulation stochastic model and introduce vibration components associated with the forces acting during cutting and elastic squeezes of the cutter during boring process. Keywords: turning processing, surface quality, surface roughness, imitating model, stochastic model.