Investigating the Effect of Process Parameters in Incremental Sheet Forming Process

Investigating the Effect of Process Parameters in Incremental Sheet Forming Process

Manish Oraon, Manish Kumar Roy, Vinay Sharma
Copyright: © 2021 |Pages: 13
DOI: 10.4018/978-1-7998-7206-1.ch003
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Abstract

Incremental sheet forming (ISF) is an emerging technique of sheet metal working that comes into the picture in the last two decades. The ISF involved the forming of shapes without using the dedicated dies. ISF is suitable for customized products, rapid prototyping, and low batch production. The study aims to investigate the effect of process parameters on the surface roughness. The experiments are conducted on aluminum AA3003-O grade with six parameters, and the trials are performed according to the design of experiment (DOE). The atomic force microscopy (AFM) technique is used for measuring the surface roughness. Analysis of variance (ANOVA) is used for analyzing the effect of process parameters in ISF. The result shows that the step-down size, feed rate of the tool, and wall angle are significant process parameter and their contributions for ISF are 85.86%, 1.12%, and 12.29%, respectively.
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Experimental Investigation

The ISF is conducted on thin sheets of aluminum AA3003-O with varying the process parameters. The six process parameters are considered during the experiment which is as step down size (∆z), feed rate (f), spindle speed (R), sheet thickness (T), wall angle (Ɵ), and lubricant (L). The two levels of process parameters are set after an extensive review of literatures work and preliminary ISF experiments done in the department of Production Engineering, Birla Institute of Technology, Mesra Ranchi. The numeric code of the process parameters is shown in Table 1.

Table 1.
Extreme values of the experimental plane
Process Parameter∆z
(mm)		f
(mm)		RT
(mm)		Ɵ
(0)		L
level 10.1205000.215MoS2 Grease
level 20.710020000.445Graphite Powder

Key Terms in this Chapter

Optimization: A mathematical technique for finding a maximum or minimum value of a function of several variables subject to a set of constraints.

DOE: Design of Experiments (DOE) is an approach for planning, conducting, analyzing, and interpreting controlled tests to evaluate the factors that control the value of a parameter or group of parameters.

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