Papers by Author: Xiao Jun Zang

Abstract: The aluminum base microwave printed circuit board has the wide application foreground in high-tech fields. But the insulating layer of PCB is a difficult-to-machining material. In this paper, the experimental research on the wear mechanics and cutting coating comparison in high speed milling of the Rogers 6002 micro wave PCB. TiN and TiAlN coated cemented carbide cutting tool are select to milling the micro wave PCB. The effect of milling parameters and cutting length on cutting force is investigated. SEM is used to observe the wear morphology of the flank face of cutting tools. Research results show the wear mechanisms of coated tool include abrasive wear and adhesive wear. TiAlN coating is more suitable for high milling the insulating layer of microwave PCB because of its high hardness and wear resistance. The research results are contributive to choose proper high-speed cutting tools and parameters.

Abstract: At present, the lack of the optimal cutting parameters of high speed milling is the obstacle to its widely application. In this paper, the simplified and rapid optimization method is proposed on high speed milling alloy thin-walled workpiece. The normal selection method of cutting tools and cutting conditions is put forward as the precondition of parameter optimization. The acquirement method of optimal parameters is presented. The maximal critical axial depths of cut at the different cutting conditions are achieved according to chatter stability theory. The materials removal rate is selected as the optimal objective. The optimal parameters are filtrated up and validated according to the constraint conditions including machining tool, cutting tools, surface quality and precision of the parts.

Abstract: The research was carried out on the parameter optimization of milling titanium alloy in this paper. The cutting models including cutting force, tool life and machined surface roughness are obtained by orthogonal array experiments. The maximum metal removal rate, MRR is selected as objective function. The constraints related to machine tool, workpiece, cutting tool and other machining situations are presented in details. Genetic algorithm is used to search for the optimum milling parameters for the maximum metal removal rate of titanium alloy. The optimization results show the optimization system can improve the productivity of milling Ti6Al4V obviously.