ANALYSIS OF SURFACE ROUGHNESS, SOUND LEVEL, VIBRATION AND CURRENT WHEN MACHINING AISI 1040 STEEL


ŞAHİNOĞLU A., GÜLLÜ A., Ciftci I.

SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI, vol.37, no.2, pp.423-437, 2019 (ESCI) identifier

  • Publication Type: Article / Article
  • Volume: 37 Issue: 2
  • Publication Date: 2019
  • Journal Name: SIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Academic Search Premier, Directory of Open Access Journals
  • Page Numbers: pp.423-437
  • Keywords: AISI 1040, surface roughness, sound level, vibration, current, ANOVA, CUTTING PARAMETERS, POWER-CONSUMPTION, TOOL WEAR, TURNING PROCESS, BEARING STEEL, CARBIDE TOOL, OPTIMIZATION, PERFORMANCE, PREDICTION, SIGNALS
  • Gazi University Affiliated: Yes

Abstract

AISI 1040 steel is widely used for production of various parts. This material has been studied by many researchers. In this work, turning tests were carried out on AISI 1040 steel workpieces at five different depth of cuts, four different feed rates and 4 different cutting speeds without coolant. The influence of the cutting parameters on turned part surface roughness, vibration, sound level and machine tool motor current were examined. A full factorial experimental design method was used. The Response Surface Methodology (RSM) and Analysis of Variance (ANOVA) were used to determine the effects of input parameters on the resultant surface roughness, vibration, sound level, current. The experimental results showed that increasing feed rate increased the surface roughness, vibration, sound level and current values. The most effective cutting parameter on all the output parameters was found to be the feed rate. Furthermore as feed rate and depth of cut increased, the current value and sound level also increased.