2023

Procedia Computer Science

Journal year: 2023 | Journal volume: 225

scientific article / paper

english

EN The article presents the results of work on the application of the WASPAS method in the selection of optimal parameters of the water-abrasive cutting process, which significantly affect the course of the research process, while allowing the user to omit those factors that have a negligible impact on the results. WASPAS is a multi-criteria decision-making technique. This is a weighted aggregate product evaluation sum method for parametric optimization. A method can indicate one or more optimization responses. It combines the Weighted Sum Model (WSM) and the Weighted Product Model (WPM). The article shows that WASPAS effectively determines a set of optimal combinations of parameters for many responses. The material used in the study was Inconel-625- a nickel-chromium alloy. It was found that the rate of material removal varies directly with feed rate and abrasive flow rate. Increasing the feed rate and abrasive flow rate increased the rate of workpiece material removal during waterjet cutting. The abrasive flow rate and the feed speed had the greatest influence on the roughness. The advantage of proceeding with the WASPAS scheme is the selection of parameters that can be very carefully optimized by applying an additional factor .Ñú.. The method was considered more meticulous compared to others.

177 - 187

10.1016/j.procs.2023.10.002

https://www.sciencedirect.com/science/article/pii/S1877050923011602?via%3Dihub

27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems (KES 2023), 6-8.09.2023, Athens, Grecja

CC BY-NC-ND (attribution - noncommercial - no derivatives)

open journal

final published version

12.2023

at the time of publication

5

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