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Title: | Surface roughness analysis of greater cutting depths during hard turning |
Authors: | Oral, Ali Uludağ Üniversitesi/İktisadi ve İdari Bilimler Fakültesi/Ekonometri Bölümü. Uludağ Üniversitesi/Mühendislik Fakültesi/Makine Mühendisliği Bölümü. Murat, Dilek Ensarioğlu, Cihat Gürsakal, Necmi Cemal, Mustafa X-4506-2018 57192674649 23972265100 26429334100 57987557800 |
Keywords: | Materials science Cutting parameters Hard turning Machinability Response surface methodology Surface roughness Work tool steel Aisi d2 Prediction model Carbide inserts Ceramic tools Edge-geometry Parameters Machinability Performance Optimization Aluminum compounds Cutting tools Grinding (machining) Machinability Metal cutting Surface properties Titanium compounds Tool steel Turning Cold work tool steels Cutting parameters Grinding operations Hard turning Metal removal rate Minimum surface roughness Response surface methodology Roughness analysis Surface roughness |
Issue Date: | Sep-2017 |
Publisher: | Walter de Gruyter Gmbh |
Citation: | Murat, D. vd. (2017). ''Surface roughness analysis of greater cutting depths during hard turning''. Materialpruefung/Materials Testing, 59(9), 795-802. |
Abstract: | Literally, hard machining describes machining of parts having hardness over 45 HRC. Besides its advantages like high metal removal rate, easiness of adapting to complex part geometries, possibility of dry cutting; this operation, which can substitute grinding in most cases, has some disadvantages. One of them is the significant increase of surface roughness due to tool wear even when the tool life limit is not exceeded. In this study, considering hard turning praxes, higher depths of cut (0.5 to 1.0 mm) were examined when dry turning AISI D2 cold work tool steel, through-hardened to 62 HRC. TiN coated mixed ceramic inserts (Al2O3 + TiCN) were employed in the operations. Relationship between surface roughness and cutting parameters (cutting speed, feed and depth of cut) was modeled and analyzed using a Box-Behnken response surface methodology (RSM) design. A linear model best described this relationship. Despite the higher depths of cuts, the surface roughness values achieved were comparable to those in grinding operations. Finally, the optimal values of cutting parameters for minimum surface roughness were predicted. |
URI: | https://doi.org/10.3139/120.111074 https://www.degruyter.com/document/doi/10.3139/120.111074/html http://hdl.handle.net/11452/31129 |
ISSN: | 0025-5300 |
Appears in Collections: | Scopus Web of Science |
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