聚醚醚酮(polyetheretherketone,PEEK)材料作为典型的轻质高性能聚合物材料,在医疗航空航天等领域获得了大量应用,PEEK材料的增材制造技术可以实现复杂零部件的结构功能一体化制造。针对聚醚醚酮粉末床熔融(powder bed fusion,PBF)系统...聚醚醚酮(polyetheretherketone,PEEK)材料作为典型的轻质高性能聚合物材料,在医疗航空航天等领域获得了大量应用,PEEK材料的增材制造技术可以实现复杂零部件的结构功能一体化制造。针对聚醚醚酮粉末床熔融(powder bed fusion,PBF)系统加工温度高、易翘曲的难题,开展了聚醚醚酮粉末床熔融系统多工艺参数优化与成形性能研究,通过工艺成形过程模拟仿真,揭示了激光功率等核心参数对温度场的影响规律。在成形工艺仿真基础上,开展了成形工艺参数优化试验,建立了工艺参数与拉伸力学性能以及翘曲率的对应关系,获得了拉伸强度86 MPa,断裂伸长率3.7%的优异力学性能,并最终实现了颅骨植入物的高精度增材制造。展开更多
The gears of new energy vehicles are required to withstand higher rotational speeds and greater loads,which puts forward higher precision essentials for gear manufacturing.However,machining process parameters can caus...The gears of new energy vehicles are required to withstand higher rotational speeds and greater loads,which puts forward higher precision essentials for gear manufacturing.However,machining process parameters can cause changes in cutting force/heat,resulting in affecting gear machining precision.Therefore,this paper studies the effect of different process parameters on gear machining precision.A multi-objective optimization model is established for the relationship between process parameters and tooth surface deviations,tooth profile deviations,and tooth lead deviations through the cutting speed,feed rate,and cutting depth of the worm wheel gear grinding machine.The response surface method(RSM)is used for experimental design,and the corresponding experimental results and optimal process parameters are obtained.Subsequently,gray relational analysis-principal component analysis(GRA-PCA),particle swarm optimization(PSO),and genetic algorithm-particle swarm optimization(GA-PSO)methods are used to analyze the experimental results and obtain different optimal process parameters.The results show that optimal process parameters obtained by the GRA-PCA,PSO,and GA-PSO methods improve the gear machining precision.Moreover,the gear machining precision obtained by GA-PSO is superior to other methods.展开更多
文摘聚醚醚酮(polyetheretherketone,PEEK)材料作为典型的轻质高性能聚合物材料,在医疗航空航天等领域获得了大量应用,PEEK材料的增材制造技术可以实现复杂零部件的结构功能一体化制造。针对聚醚醚酮粉末床熔融(powder bed fusion,PBF)系统加工温度高、易翘曲的难题,开展了聚醚醚酮粉末床熔融系统多工艺参数优化与成形性能研究,通过工艺成形过程模拟仿真,揭示了激光功率等核心参数对温度场的影响规律。在成形工艺仿真基础上,开展了成形工艺参数优化试验,建立了工艺参数与拉伸力学性能以及翘曲率的对应关系,获得了拉伸强度86 MPa,断裂伸长率3.7%的优异力学性能,并最终实现了颅骨植入物的高精度增材制造。
基金Projects(U22B2084,52275483,52075142)supported by the National Natural Science Foundation of ChinaProject(2023ZY01050)supported by the Ministry of Industry and Information Technology High Quality Development,China。
文摘The gears of new energy vehicles are required to withstand higher rotational speeds and greater loads,which puts forward higher precision essentials for gear manufacturing.However,machining process parameters can cause changes in cutting force/heat,resulting in affecting gear machining precision.Therefore,this paper studies the effect of different process parameters on gear machining precision.A multi-objective optimization model is established for the relationship between process parameters and tooth surface deviations,tooth profile deviations,and tooth lead deviations through the cutting speed,feed rate,and cutting depth of the worm wheel gear grinding machine.The response surface method(RSM)is used for experimental design,and the corresponding experimental results and optimal process parameters are obtained.Subsequently,gray relational analysis-principal component analysis(GRA-PCA),particle swarm optimization(PSO),and genetic algorithm-particle swarm optimization(GA-PSO)methods are used to analyze the experimental results and obtain different optimal process parameters.The results show that optimal process parameters obtained by the GRA-PCA,PSO,and GA-PSO methods improve the gear machining precision.Moreover,the gear machining precision obtained by GA-PSO is superior to other methods.
