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Optimization of CNC machine processing parameters for low carbon manufacturing

This paper investigates the process parameter optimization problem of a CNC machine for low carbon manufacturing. In particular, an optimization model, which considers the constraints of spindle speed, force rate, cutting force, power of cutting machine and quality of work piece, is developed with the objectives of minimizing both carbon emissions and processing time. The fast non-dominating Genetic Algorithm (GA) is then used to derive the optimal solution. Finally, the validity of this model is demonstrated through a case study.