1,120
Views
46
CrossRef citations to date
0
Altmetric
Original Articles

Effect of Machining Parameters on Cutting Forces and Surface Roughness in Al-(1-2) Fe-1V-1Si Alloys

, &
Pages 463-469 | Received 30 Jan 2012, Accepted 28 Dec 2012, Published online: 27 Mar 2013
 

Abstract

Two Al-alloys with compositions Al-1Fe-1V-1Si and Al-2Fe-1V-1Si were cast in the form of plates to study machinability. The paper deals with the effect of Fe on machinability of Al-Fe-V-Si alloys subjected to milling operation using high speed steel end milling cutting tool. The results show that cutting force increases with increasing depth of cut and feed rate, and decreases with increasing cutting speed. From the experimental results, it is observed that cutting force is most significantly affected by the depth of cut, followed by feed rate and cutting speed. The studies also underline the fact that surface finish improves with decrease in feed rate and an increase in cutting speed. The optimum cutting speed zone lies in the range 125 to 175 m/min for machining of above Al alloys, where cutting forces are almost independent of cutting speed. High speed, low feed rate, and low depth of cut are recommended for better surface finish. The chips formed were also observed. It is observed that as Fe content increases from 1% to 2%, cutting forces increase appreciably with increase in the depth of cut, while for other parameters cutting forces are relatively stable.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 561.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.