| Abstrakt: |
Polymers are increasingly gaining prominence in the economic market due to their superior performance compared to metallic materials. The reinforcement of polymers with glass fibers brings about a significant improvement in their physico-mechanical characteristics. This study examines the evaluation of machinability, modeling and optimization of cutting conditions during dry turning of the reinforced polymer polyoxymethylene (POM-C GF25%). For this purpose, four input parameters are considered: cutting speed (Vc), feed rate per revolution (f), depth of cut (ap) and tool nose radius (r). Six output parameters, including surface roughness (SR), cutting force components (Fx, Fy and Fz), energy consumption (Ec) and material removal rate (Q), are considered in this study. The first part of the experiments is dedicated to studying the influence of each input factor on the outputs using the one-factor-at-a-time (OFAT) method. The second part involves statistical analysis followed by modeling using analysis of variance (ANOVA) and response surface methodology (RSM) based on an orthogonal Taguchi L32 design. The developed models are validated through confirmation tests. Finally, a last part focuses on the multi-criteria optimization of cutting conditions using three methods: desirability function (DF), multi-attributive border approximation area comparison (MABAC) and gray relational analysis (GRA). The objective is to minimize parameters such as surface roughness (SR), cutting force (Fz) and energy consumption (Ec) while maximizing productivity (Q). The results of this research indicate that the employed methods yield highly satisfactory optimal results, which can be of interest to researchers in the field of machining composite polymers, particularly POM-C GF25%, as well as in the field of optimization. [ABSTRACT FROM AUTHOR] |
Full text from SpringerLink