Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
engineering
Analysis of surface roughness and cutting force components in hard turning with CBN tool: Prediction model and cutting conditions optimization
Measurement: Journal of the International Measurement Confederation, Volume 45, No. 3, Year 2012
Notification
URL copied to clipboard!
Description
In this study, the effects of cutting speed, feed rate, workpiece hardness and depth of cut on surface roughness and cutting force components in the hard turning were experimentally investigated. AISI H11 steel was hardened to (40; 45 and 50) HRC, machined using cubic boron nitride (CBN 7020 from Sandvik Company) which is essentially made of 57% CBN and 35% TiCN. Four-factor (cutting speed, feed rate, hardness and depth of cut) and three-level fractional experiment designs completed with a statistical analysis of variance (ANOVA) were performed. Mathematical models for surface roughness and cutting force components were developed using the response surface methodology (RSM). Results show that the cutting force components are influenced principally by the depth of cut and workpiece hardness; on the other hand, both feed rate and workpiece hardness have statistical significance on surface roughness. Finally, the ranges for best cutting conditions are proposed for serial industrial production. © 2011 Elsevier Ltd. All rights reserved.
Authors & Co-Authors
Aouici, Hamdi
Algeria, Guelma
Université 8 Mai 1945 Guelma
Yallese, Mohamed Athmane
Algeria, Guelma
Université 8 Mai 1945 Guelma
Chaoui, Kamel
Algeria, Annaba
Université Badji Mokhtar - Annaba
Mabrouki, Tarek
France, Lyon
Université de Lyon
Rigal, Jean François
France, Lyon
Université de Lyon
Statistics
Citations: 342
Authors: 5
Affiliations: 3
Identifiers
Doi:
10.1016/j.measurement.2011.11.011
ISSN:
02632241
Study Approach
Quantitative