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Spindle Vibration Prediction for the CNC Machining Center Using ANFIS System

  • Pichai Janmanee,
  • Suthep Butdee

摘要

Machining requires high precision and accuracy, whereas the machined parts rely on the machine’s quality as its stability. Unbalanced and eccentric components cause machine vibration, which is a significant problem with machining. However, such problems should be detected early in process design. This paper proposes the spindle vibration of CNC machining center prediction by simulation using the ANFIS system. Three main parameters are concerned: working load, bearing life, and spindle speed. Membership functions are designed and created using machine capability. The case studies are illustrated by mainly emphasizing the workload analysis of each cutting path and feature. Cutter loads are calculated, and determined the stress occurrence using FEM. The contributions are spindle vibration estimation related to the workloads and spindle speed usage. Adjudgment data based on vibration prediction can assist machinists in controlling the quality of the machine part and utilizing the longer machine life.