Home | About us | Editorial board | Search | Ahead of print | Current issue | Archives | Submit article | Instructions | Subscribe | Contacts | Advertise | Login 
  Official website of M M University Mullana      
   
ARTICLE
Year : 2012  |  Volume : 2  |  Issue : 2  |  Page : 75-81

Computer Numerical Control Turning on AISI410 with Single and Nano Multilayered Coated Carbide Tools under Dry Conditions


1 Department of Mechanical Engineering, Anna University of Technology Madurai, India
2 Department of Mechanical Engineering, Syed Ammal Engineering College, Ramanathapuram, India
3 Department of Mechanical Engineering, Anna University of Technology Madurai, Ramanathapuram Campus, Tamilnadu, India

Correspondence Address:
Kamaraj Chandrasekaran
Department of Mechanical Engineering, Anna University of Technology Madurai
India
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0976-8580.99292

Rights and Permissions

Martensitic stainless steels (AISI410) have excellent, such as, corrosion resistance, high strength, low thermal conductivity, and high ductility. On account of these properties, AISI410 is widely used in the manufacture of components in aerospace industries, turbine and compressor components, and nuclear applications. CNC turning of AISI410 is an important task in the manufacturing of components. Turning parameters such as cutting speed, feed rate, depth of the cut, and the cutting tool, play a major role in getting a good surface finish, while turning AISI410. In this article, carbide tools coated with multilayered TiCN+Al 2 O 3 , multilayered Ti (C, N, B), single layered (Ti, Al) N, and nano multilayered B-Tic are used for the turning study on AISI410, under dry conditions. Different cutting parameters, namely, cutting speed, feed rate, and depth of the cut are used for the optimal setting of the parameters on turning AISI410. Experiments were carried out using the Taguchi's L 27 orthogonal array. The effect of cutting parameters on surface roughness (SR) was evaluated and optimal setting conditions were determined for minimization of SR. Analysis of variance (ANOVA) was used for identifying the significant parameters affecting the response.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed2464    
    Printed219    
    Emailed0    
    PDF Downloaded1475    
    Comments [Add]    

Recommend this journal