Abstract:In this paper, the authors propose the generic concept of machining instability based on the analysis of all kinds of machining instable behaviors and their features. The investigation covers all aspects of the machining process, including the machine tool structural response, cutting process variables, tooling geometry and workpiece material property in a full dynamic scenario. The paper presents a novel approach for coping with the sophisticated machining instability and enabling better understanding of its effect on the surface generation through a combination of the numerical method with the characteristic equations and using block diagrams/functions to represent implicit equations and nonlinear factors. It therefore avoids the lengthy algebraic manipulations in deriving the outcome and the solution scheme is thus simple, robust and intuitive. Several machining case studies and their simulation results demonstrate the proposed approach is feasible for shop floor CNC machining optimisation in particular. The results also indicate the proposed approach is *Correspondence to Professor Kai Cheng, Email: K.Cheng@lmu.ac.uk +Currently working as a visiting scholar at Leeds Metropolitan University, Professor Xueke Luo is with North China University of Technology 2 useful to monitor the machining instability and surface topography and to be potentially applied in adaptive control of the instability in real time.