Machinability evaluation of dies steel H-11 with CNC Milling using digraph and matrix method

Mandeep Chahal (), Vikram Singh () and Rohit Garg ()
Additional contact information
Mandeep Chahal: HCTM
Vikram Singh: YMCAUST
Rohit Garg: Indus Institute of Engineering & Technology

International Journal of System Assurance Engineering and Management, 2017, vol. 8, issue 1, No 18, 169-179

Abstract: Abstract Machinability aspect is of considerable importance for efficient process planning in manufacturing. Machinability of work materials is an imperative aspect which may affect the different manufacturing phases including product design, process planning and machining operation. Machinability of engineering materials may be evaluated in terms of process output variables like surface roughness (SR), material removal rate, cutting forces etc. In this paper, graph theoretic approach is proposed to assess the performance of die steel H-11 using titanium coated carbide cutter, together with spiral type cutter path strategy. SR is considered as machinability attribute to evaluate the effect of several factors and sub-factors. Factors affecting machinability and their interactions are analyzed by developing a mathematical model using digraph and matrix method. Permanent function is obtained from the matrix model and the function value aids in quantifying the influence of considered factors on machinability. Factors affecting SR are grouped into five factors namely work-piece, tool coating, tool geometry, cutter path strategy and machine tool. The results reveals that machine tool has the highest index value and hence the most influencing factor and feed rate is the most significant sub-factor influencing SR of H-11 using titanium coated carbide cutter on CNC Milling.

Keywords: Graph theory; Machinability index; CNC Milling; Die steel H-11 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-014-0305-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:8:y:2017:i:1:d:10.1007_s13198-014-0305-7

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-014-0305-7

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().