Prediction of Surface Roughness in End Milling Process Using Intelligent Systems: A Comparative Study

Table 6

A comparison of measured and predicted surface roughness of the test data.

Test no.	Parameters			𝑅𝑚
	𝑆𝑚	𝐹𝑚	𝐷𝑚	Measured	RBFN	ANFIS (HL,FO)	GA (ZO)
					predicted	predicted	predicted
1	750	9	0.01	109	103.98	95.78	109.18
2	750	9	0.05	95	82.96	82.36	73.63
3	750	15	0.03	122	124.15	116.79	122.78
4	750	15	0.05	104	105.94	96.93	112.12
5	750	21	0.01	178	183.14	187.44	176.66
6	750	21	0.03	163	159.31	161.19	161.39
7	750	21	0.05	150	143.67	148.65	149.19
8	1000	9	0.01	92	91.64	87.13	95.89
9	1000	15	0.03	108	105.85	96.46	106.78
10	1000	21	0.01	149	153.56	149.17	153.48
11	1000	21	0.03	145	135.09	141.20	136.73
12	1000	21	0.05	112	116.47	113.28	127.24
13	1250	15	0.01	106	112.68	104.36	112.46
14	1250	15	0.03	96	94.96	99.06	93.34
15	1250	21	0.01	125	133.28	135.37	127.79
16	1250	21	0.03	100	103.12	98.65	112.17
17	1250	21	0.05	105	105.84	108.58	107.48
18	1250	9	0.03	73	78.73	77.50	70.95
19	1500	15	0.01	106	103.49	101.79	105.17
20	1500	15	0.03	83	86.07	86.17	89.61
21	1500	15	0.05	99	97.27	98.47	92.45
22	1500	21	0.01	118	118.87	120.44	120.64
23	1500	21	0.03	102	93.04	94.37	105.34
24	1500	21	0.05	113	104.50	106.92	101.99
RMSE%					2.95%	3.39%	3.95%