Composite machining is one of the hot researches currently, and optimal cutting parameters are particularly important to get ideal surface and reduce processing cost of workpiece. By comparison, the present paper selects the surface root mean square deviation Sq as the three-dimensional evaluation parameter of surface roughness to reflect the special appearance after cutting accurately. The single-factor experiment and orthogonal experiment were conducted to study the machining defects emerged and effect of parameters on surface roughness when side milling CFRP (Carbon Fiber Reinforced Plastics) with diamond coated carbide tool. The mapping relationship between cutting parameters and surface roughness was established based on the experiment results. Then, the cutting parameters were optimized by using genetic algorithm with two conflicting objectives: material removal rate and surface roughness. The experiment results show that the proposed method is feasible and effective, and can provide references for the actual processing of CFRP.

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