Surface roughness prediction and roughness reliability evaluation of CNC milling based on surface topography simulation

Surface roughness is influenced by various factors with uncertainty characteristic, and roughness reliability can be used for the assessment of the surface quality of CNC milling. The paper develops a method for the assessment of surface quality by considering the coupling effect and uncertainty characteristicsof various factors. According to the milling kinematics theory, the milling surface topography simulation is conducted by discretizing the cutting edge, machining time, and workpiece. Considering thecoupling effect of various factors, a roughness prediction model isestablished by the SSA-LSSVM, and its prediction accuracy reachesmore than 95%. Then, the roughness reliability model isdevelopedby applying the response surface methodology to achieve the assessment of surface quality. The proposed method is verified by the milling experiments. The maximum values of the relative errors between the simulation and experimental results of the surfaceroughness and roughness reliability are 9% and 1.5% respectively, indicating the correctness of the method proposed in the paper.

---

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).