Abstract: To choose the right turning parameters in CNC lathe,the mathematical models for power consumption and machine efficiency of cutting parameters in cutting state were established.In the power consumption model,the no load power model was established by turning experiments,and the cutting power model was solved and verified by orthogonal design.The function of power consumption in the cutting state was obtained further.Under various machining constraints,the modified multi-objective Teaching-Learning-Based Optimization (TLBO) algorithm to solve above model was designed.By taking minimal processing power and minimal processing time as goals,the Pareto frontier set was obtained.Analytic Hierarchy Process (AHP) was used to establish a decision model on cutting parameters,which more objectively select a better combination of turning parameters.The feasibility and effectiveness of proposed strategy were verified by turning examples.

Key words: turning, power consumption, cutting parameters, teaching-learning-based optimization, CNC lathe

摘要： 为选择合理的数控车床切削用量,建立数控车床切削参数能量消耗和加工效率数学模型。在切削参数能量消耗估算模型中,通过实验拟合与正交实验分别获取数控车床的空载功率和切削功率函数,进一步给出数控车床切削阶段能量消耗函数。在车床加工条件的各种约束下,设计了一种基于多目标教与学优化算法来求解切削参数能量效率优化模型,以切削阶段加工能量最小和加工效率最高为目标,获得切削参数优化的Pareto前沿解,并采用层次分析法建立了切削参数的决策模型,较客观地选取了更优车削参数组合。通过数控车床实例优化验证了所提策略的可行性和有效性。

关键词: 车削, 能耗, 切削参数, 教与学优化算法, 数控车床