Implementation of Taguchi and Genetic Algorithm Techniques for Prediction of Optimal Part Dimensions for Polymeric Biocomposites in Fused Deposition Modeling

Table 1

Input and output parameters used for analysis.

Exp. No.	Factors					Responses
	Layer thickness (mm) A	Orientation angle (°) B	Raster angle (°) C	Raster width (mm) D	Air gap (mm) E	Mod W = 0.7ΔW + 0.1ΔL + 0.1ΔT + 0.1ΔD
1	0.127	0	0	0.4064	0	0.816457
2	0.127	15	0	0.4564	0.004	0.806392
3	0.127	30	0	0.5064	0.008	0.951515
4	0.127	0	30	0.4564	0.004	0.883827
5	0.127	15	30	0.5064	0.008	0.851524
6	0.127	30	30	0.4064	0	0.686596
7	0.127	0	60	0.5064	0.008	0.791827
8	0.127	15	60	0.4064	0	0.979389
9	0.127	30	60	0.4564	0.004	0.928935
10	0.178	0	0	0.4564	0.008	0.507068
11	0.178	15	0	0.5064	0	1.072302
12	0.178	30	0	0.4064	0.004	0.906102
13	0.178	0	30	0.5064	0	0.731976
14	0.178	15	30	0.4064	0.004	0.899691
15	0.178	30	30	0.4564	0.008	0.819047
16	0.178	0	60	0.4064	0.004	0.66351
17	0.178	15	60	0.4564	0.008	0.999945
18	0.178	30	60	0.5064	0	0.727309
19	0.254	0	0	0.5064	0.004	0.849293
20	0.254	15	0	0.4064	0.008	1.35796
21	0.254	30	0	0.4564	0	1.223476
22	0.254	0	30	0.4064	0.008	1.096522
23	0.254	15	30	0.4564	0	1.433019
24	0.254	30	30	0.5064	0.004	0.962855
25	0.254	0	60	0.4564	0	0.956191
26	0.254	15	60	0.5064	0.004	1.244108
27	0.254	30	60	0.4064	0.008	1.148151