中文摘要：

绿色高效是对现代制造业提出的迫切要求,制造服务的理念指明制造业转型升级的重要方向。以数控铣削加工为例,从一个层面研究了以面向服务为核心的绿色高效数控多次进给铣削加工参数优化问题,建立了满足高速铣削稳定性要求,以铣削过程利润与铣削碳排放量为目标的优化模型,应用自适应粒子群算法对模型寻优求解,并与数控切削参数数据库实现信息共享,通过铝合金高速铣削参数优化实例进行了模型验证,表明该寻优模型的泛化能力满足网络环境下复杂制造过程的服务增值需求。最后分析比较了不同优化变量对目标函数的影响趋势并定量计算了目标函数对优化变量的灵敏度值,为服务于企业的绿色高效铣削加工参数选择和工艺制定奠定了理论基础。

英文摘要：

Green and high efficiency is the urgent request for the modern manufacture, and the concept of service-oriented manufacture indicates an important direction for transformation and upgrading. The multi-pass milling parameters optimization for green and high efficiency based on service-oriented manufacturing has been researched from on perspective. An optimization model fulfilling chatter stability has been established to achieve the target coupling with high unit milling profit and low carbon, and the model is solved by adaptive particle swarm algorithm, and the information of optimization model is been shared with cutting parameters database, then the method is tested by a high speed milling optimization example of aluminum alloy, which indicates that the generalization capability meets the demand of value-add in milling process by using network. The influence between different variables and object function is compared, and the parameters optimization results and the sensitivity of optimization variables are analyzed, that lay the theoretical foundation to select milling parameters and program process based on service-oriented milling for green and high efficiency.