Simulation and multi-objective optimization to improve the final shape and process efficiency of a laser-based material accumulation process

Journal of Mathematics in Industry

Table 3 Case Study 1: Evaluation of selected predicted Pareto solutions and derived quantities, iterations \(k=1\) (runs 16–24) and \(k=2\) (runs 25–33)

Run	P	s	v	Δl	\(\Delta c_{xyz}\)	E	l − s	l/E	P/v
Run	[W]	[mm]	[mm/s]	[mm]	[μm]	[J]	[mm]	[mm/J]	J/mm
16^∗	36.16	2.89	44.94	−0.1476	30.29	2.32	−0.036	1.23	0.80
17	41.82	2.43	32.16	0.1693	29.24	3.17	0.735	1.00	1.30
18^∗	51.52	2.53	46.77	−0.0082	21.91	2.78	0.467	1.08	1.10
19^∗	57.98	2.53	57.72	−0.1198	2.80	2.54	0.355	1.14	1.00
20	66.87	2.51	68.68	−0.1810	19.86	2.44	0.314	1.16	0.97
21^∗	89.50	2.95	156.31	−2.3755	175.73	1.69	−2.325	0.37	0.57
22^∗	90.30	2.49	116.15	−0.5962	28.42	1.94	−0.091	1.24	0.78
23^∗	95.96	2.59	132.58	−0.5483	52.90	1.87	−0.134	1.31	0.72
24^∗	96.77	2.55	110.67	−0.3243	29.20	2.23	0.130	1.20	0.87
25	65.25	3.00	72.33	0.2082	20.50	2.71	0.208	1.19	0.90
26	74.14	3.00	81.46	0.2734	13.64	2.73	0.273	1.20	0.91
27^∗	87.88	2.47	99.72	−0.3816	5.40	2.18	0.144	1.20	0.88
28^∗	89.49	3.00	159.97	−2.5515	112.34	1.68	−2.551	0.27	0.56
29^∗	93.54	2.60	130.75	−0.5173	60.11	1.86	−0.113	1.34	0.72
30^∗	94.34	2.70	141.71	−0.4854	81.51	1.80	−0.182	1.40	0.67
31^∗	98.38	2.99	172.75	−2.3875	171.07	1.70	−2.377	0.36	0.57
32^∗	100.00	2.37	112.50	−0.5043	7.95	2.11	0.122	1.18	0.89
33^∗	100.00	2.43	123.45	−0.6117	6.04	1.97	−0.046	1.21	0.81