Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/31129
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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