20.500.12556/RUL-159951 Multi-response optimization of GTAW process parameters in terms of energy efficiency and quality Večkriterijska optimizacija parametrov procesa TIG varjenja za energijsko učinkovitost in kakovost This work optimizes the current (I), voltage (V), flow rate (F), and arc gap (G) of the gas tungsten arc welding (GTAW) of the Ti40A titanium alloy to decrease the heat input (HI) and improve the ultimate tensile strength (TS) and micro-hardness (MH). The radial basis function network (RBFN) was utilized to present performance measures, while weighted principal component analysis (WPCA) and an adaptive non-dominated sorting genetic algorithm II (ANSGA-II) were applied to estimate the weights and generate optimal points. The evaluation via an area-based method of ranking (EAMR) was employed to determine the best solution. The results indicated that the optimal I, V, F, and G are 89 A, 23 V, 20 L/min, and 1.5 mm, respectively. The improvements in the TS and MH were 1.2 % and 19.8 %, respectively, while the HI was saved by 18.4 %. The RBFN models provided acceptable accuracy for prediction purposes. The ANSGA-II provides better optimality than the conventional NSGA-II. The HI, TS, and MH of the practical GTAW Ti40A could be enhanced using optimality. The optimization method could be utilized to deal with optimization problems for not only other GTAW operations but also other machining processes. GTAW heat input ultimate tensile strength micro-hardness radial basis function network varjenje TIG vnos toplote porušitvena natezna trdnost mikrotrdota omrežje radialnih baznih funkcij optimizacija true false true Angleški jezik Slovenski jezik Članek v reviji 2024-08-01 08:27:10 2024-08-01 08:27:14 2024-08-02 04:01:19 0000-00-00 00:00:00 2024 0 0 Str. 259-269 no. 5/6 Vol. 70 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 621.791 0039-2480 10.5545/sv-jme.2023.890 203127811 Van_..._Multi-response_Optimization_of_GTAW_Process_....pdf Van_..._Multi-response_Optimization_of_GTAW_Process_....pdf 1 5493F378DEC6F27013BD18E608896E6A 080811578b3ceb21046d7c1844da1371472adb90c4932ebe79237efda6fffb88 36206b31-4fcf-11ef-8f74-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=188208 https://www.sv-jme.eu/sl/article/multi-response-optimization-of-gtaw-process-parameters-in-terms-of-energy-efficiency-and-quality/ 1 fb2a6f96-4fce-11ef-8f74-0050569b8976 https://repozitorij.uni-lj.si/Dokument.php?lang=slv&id=188207 Fakulteta za strojništvo Strojniški vestnik 0 0 0