基于深度强化学习的数控铣削加工参数优化方法

基于深度强化学习的数控铣削加工参数优化方法

邓齐林,鲁娟,陈勇辉,冯健,廖小平,马俊燕

Optimization method of CNC milling parameters based on deep reinforcement learning

Qi-lin DENG,Juan LU,Yong-hui CHEN,Jian FENG,Xiao-ping LIAO,Jun-yan MA

表 2 27组Taguchi试验数据的切削力合力和材料去除率

Tab.2 Combined cutting force and material removal rates for 27 sets of Taguchi test datas

序号	n/ ( ${\rm{r}} \cdot {\rm{mi}}{{\rm{n}}^{ - 1} }$)	f/ ( ${{\rm{mm}}} \cdot {{\rm{r}}^{ - 1} }$)	a_e/ mm	a_p/ mm	F_c/ N	R/ ( ${ {{\rm{mm}}} ^3} \cdot {\min ^{ - 1} }$)
1	1 500	0.08	2	0.2	17.241	48.0
2	1 500	0.08	4	0.4	33.117	192.0
3	1 500	0.08	6	0.6	44.120	432.0
4	1 500	0.10	2	0.6	44.246	180.0
5	1 500	0.10	4	0.2	23.873	120.0
6	1 500	0.10	6	0.4	33.256	360.0
7	1 500	0.12	2	0.4	35.638	144.0
8	1 500	0.12	4	0.6	53.547	432.0
9	1 500	0.12	6	0.2	25.398	216.0
10	1 900	0.08	2	0.6	38.787	182.4
11	1 900	0.08	4	0.2	21.276	121.6
12	1 900	0.08	6	0.4	27.223	364.8
13	1 900	0.10	2	0.4	29.856	152.0
14	1 900	0.10	4	0.6	49.820	456.0
15	1 900	0.10	6	0.2	19.837	228.0
16	1 900	0.12	2	0.2	22.726	91.2
17	1 900	0.12	4	0.4	37.849	364.8
18	1 900	0.12	6	0.6	45.732	820.8
19	2 300	0.08	2	0.4	42.285	147.2
20	2 300	0.08	4	0.6	65.958	441.6
21	2 300	0.08	6	0.2	32.286	220.8
22	2 300	0.10	2	0.2	26.537	92.00
23	2 300	0.10	4	0.4	52.899	368.0
24	2 300	0.10	6	0.6	70.342	828.0
25	2 300	0.12	2	0.6	62.847	331.2
26	2 300	0.12	4	0.2	44.824	220.8
27	2 300	0.12	6	0.4	50.243	662.4