CAM as a Service with dynamic toolpath generation ability for process optimization in STEP-NC compliant CNC machining

The next generation of STEP-NC technology needs to achieve more intelligent process optimization. Currently, the calculation method of toolpath length in process optimization algorithms hinders the flexibility and adaptability of algorithm applications. Process optimization needs to generate toolpath based on dynamic process parameter combinations automatically. To address this issue, this paper deploys CAM on the cloud based on the STEP-NC edge-cloud collaboration system, enabling the automatic generation of toolpath through interaction with the process parameter optimization process. Building on this, a non-dominated sorting genetic algorithm III with CAM as a service (NSGAIII-CaaS) for process optimization is proposed. Additionally, a process optimization method for machining feature elements is introduced. Finally, the proposed method is applied to optimize process parameters for three features of a typical part from COMAC, targeting machining cost and machining time. The feasibility of the proposed method's application in manufacturing enterprises is verified. Using the optimized process parameters for machining features, the cost is reduced by over 70%, efficiency is improved by 70%, and redundant toolpath in machining features are optimized.