Mathematical model for surface roughness prediction on grinding steel parts

Patricia Munoz De Escalona, Omar Zurita, Zulay Cassier, Maria Carolina Payares

Research output: Contribution to journalArticle

Abstract

Due to the constant progress and exigencies of metal mechanics industries, they have been forced to look for highly accurate methods to predict a desired surface roughness value at a lower price. Although the grinding process, compared to other machining process (turning and milling), is a good one to remove material as well to obtain a good surface finish, requires a good control on the operative variables to guarantee a best surface finish. Based on the influence of the grinding cutting variables, such as, workpiece speed (Vp), down feed (d) and different hardness for an AISI 1045 and AISI 4140 steel, a simple mathematical model for roughness Ra was obtained in order to predict the value of roughness required for the established cutting conditions.
Original languageEnglish
Pages (from-to)177-183
Number of pages7
JournalRevista Técnica de la Facultad de Ingeniería. Universidad del Zulia
Volume22
Issue number3
Publication statusPublished - 1999

Keywords

  • roughness
  • grinding
  • hardness
  • AISI 1045

Fingerprint Dive into the research topics of 'Mathematical model for surface roughness prediction on grinding steel parts'. Together they form a unique fingerprint.

  • Cite this