Analysis of Dimensional Accuracy of Spun Parts by Taguchi Approach

Abstract

The paper brings the results of wall thickness distribution analysis of formed part produced by CNC multi-pass conventional metal spinning. The thickness reduction was measured by optical 3D scanning method and the influence of the feed, workpiece geometry and planar anisotropy of the blank on the wall thickness reduction was studied. For experiment design, an orthogonal array L27 was used and ANOVA (Analysis of Variance) was carried out. Based on the results it is determined that the highest reduction of wall thickness is observed in the conical part of the experimental sample. Workpiece geometry is the most important factor which influences the wall thickness variation.

Analysis of the Effect of Process Parameters on Part Wall Thickness Variation in Conventional Metal Spinning of Cr-Mn Austenitic Stainless Steels

“…In fact, a non-uniform distribution of wall thickness is observed and therefore the spinning process must be optimized in order to produce components with a minimal variation in wall thickness. Based on experimental studies that have been carried out up to date, the spun part thickness distribution depends mainly on the number of tool passes, the offset of each pass from the other [9], as well as the tool feed ratio [10], shape of produced part [11], roller noise radius [4] and [12], friction [13] and first toolpass trajectory [14] to [16]. Low feed rates, large nose radius and multi-pass spinning are recommended to achieve uniform part wall thickness.…”

Design and Analysis of Carbon/Epoxy Composite Tubular Parts

“…The reinforced material can be preferentially oriented in the requested direction, keeping its architecture after polymerization. The mould has been investigated to verify the dimensional accuracy if the initial data corresponds with design [9,10]. The result is a well compressed composite material with an uniform structure, a high reinforcement degree, and good mechanical characteristics.…”

Influence of Material Property Variability on the Thickness in Sheet Metal Subjected to the Hydraulic Bulging

“…Many authors investigated the effect of material property variability on springback [5,6]. Sugar et al [7] have determined the significant parameters influencing the thinning of spun parts by ANOVA method. Gödel et al [8] investigated the effect of material model and material property variability on the results within the stochastic simulation.…”