2014
DOI: 10.2478/mms-2014-0060
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Experimental Analysis by Measurement of Surface Roughness Variations in Turning Process of Duplex Stainless Steel

Abstract: The objective of the investigation was to identify surface roughness after turning with wedges of coated sintered carbide. The investigation included predicting the average surface roughness in the dry machining of Duplex Stainless Steel (DSS) and the determination of load curves together with roughness profiles for various cutting conditions. The load curves and roughness profiles for various cutting wedges and variable cutting parameters were compared. It has been shown that dry cutting leads to a decrease i… Show more

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Cited by 88 publications
(75 citation statements)
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“…Parameters of the used technological operations are presented in Table 2. Then, surfaces were scanned by an optical profilometer to determine the initial surface roughness of the prepared samples (before their exposition to the pulsating water jet) [15] and [16].…”
Section: Methodsmentioning
confidence: 99%
“…Parameters of the used technological operations are presented in Table 2. Then, surfaces were scanned by an optical profilometer to determine the initial surface roughness of the prepared samples (before their exposition to the pulsating water jet) [15] and [16].…”
Section: Methodsmentioning
confidence: 99%
“…According to a series of experiments, he presented a conclusion that abrasive particle distribution in the jet can affect the striation formation. Krolczyk [13] conducted experiments to identify surface roughness in the dry machining of Duplex Stainless Steel coated with sintered carbide. Comparing the load curves and roughness profiles for various cutting wedges and variable cutting parameters, he drew the conclusion that dry cutting leads to a decrease in friction for lubricated surfaces, providing a small initial contact area where the surface is contacted.…”
Section: Introductionmentioning
confidence: 99%
“…Development of new materials and their properties is important for the diagnostics of such machines [2][3][4]. There is also a wide research field on the development of methods for incipient fault diagnostics.…”
Section: Introductionmentioning
confidence: 99%