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

Authors: Manish Oraon

Addresses: Department of Production Engineering, Birla Institute of Technology, Off-Campus Patna, India

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.

Keywords: single point incremental forming; SPIF; surface roughness; process parameters; ANOVA.

DOI: 10.1504/IJPQM.2020.111697

International Journal of Productivity and Quality Management, 2020 Vol.31 No.4, pp.593 - 604

Received: 21 Dec 2018
Accepted: 25 Jul 2019

Published online: 02 Dec 2020 *

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