Evaluation and Optimization of Machinability Issues in Dry Turning of DSS 2205

Optimization of the Surface Roughness and Chip Compression Ratio of Duplex Stainless Steel in a Wet Turning Process Using the Taguchi Method

“…Most of these experiments were performed in a dry environment, and the cutting conditions used in these experiments were in the following ranges: cutting velocity of 50-240 m/min, feed of 0.02-0.6 mm/rev, and cutting depth of 0.3-4.5 mm. The main cutting tool's geometrical parameter, affecting the quality of the machined part, was a corner radius of 0.8-1.6 mm in the presented works [6,14,21,28,33,34], thus resulting in rough machining. Consequently, the presented paper focuses on precise turning by selecting an indexable insert with a corner radius of 0.4 mm.…”

“…It has been found that the performance of machinability is a combination of the tool's geometry, cutting conditions, and environment. Accordingly, the design of the experiment was drawn up under the literature analysis [6,14,21,28,33,34]. After revising the research results of the authors [6,14,21,28,33,34], it has been found that more than 100 experiments were performed when machining DSS.…”

“…Accordingly, the design of the experiment was drawn up under the literature analysis [6,14,21,28,33,34]. After revising the research results of the authors [6,14,21,28,33,34], it has been found that more than 100 experiments were performed when machining DSS. Most of these experiments were performed in a dry environment, and the cutting conditions used in these experiments were in the following ranges: cutting velocity of 50-240 m/min, feed of 0.02-0.6 mm/rev, and cutting depth of 0.3-4.5 mm.…”

“…To sum up, difficult to cut materials are characterized by poor machinability and, consequently, penalized by severe tool wear and poor surface quality [25]. Thus, the main goals when optimizing cutting processes mainly remain the minimization of surface roughness, the minimization of cutting forces [28] or the maximization of the productivity [17]. In this case, the target functions when optimizing cutting conditions are the minimization of tool wear and the maximization of tool life [6].…”

“…This article presents the investigation of the wet turning of DSS, aiming to minimize the surface roughness and CCR, a rare parameter that is included in the studies of materials' processing. Consequently, the choice of cutting velocity in DoE was beyond conventional range, compared with the parameters that were found in the literature [6,14,21,28,33,34]. Taguchi analysis and the analysis of variance (ANOVA) presented the significance of machining parameters and their percentage of contribution on the response parameters.…”