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Statistical analysis to predict the surface roughness in single point incremental forming of Cu67Zn33 alloy

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  • Manish Oraon

Abstract

Single point incremental forming (SPIF) is an innovative manufacturing process in which shaping the metal sheet without using dedicated dies. Previously, the effect of input variables in SPIF of hard metal is not well defined. Commercially available Cu67Zn33 is taken for the experiment as it is demanded in every manufacturing sector due to its mechanical properties. The present study is an experimental investigation followed by statistical analysis for finding the significant input variables which profoundly affect the surface roughness. The statistical analysis indicated that the step depth is the prominence one and other significant input parameters are feed rate of the tool, wall angle, and thickness of sheet whose contribution for surface roughness are 3.2%, 5.1%, and 4.98% respectively. The minimum and maximum average roughness is measured as 134.863 nm and 376.836 nm. The spalling of metal is observed at the high feed rate and spindle speed.

Suggested Citation

  • Manish Oraon, 2020. "Statistical analysis to predict the surface roughness in single point incremental forming of Cu67Zn33 alloy," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 31(4), pages 593-604.
    • Handle: RePEc:ids:ijpqma:v:31:y:2020:i:4:p:593-604
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