Experimental investigations on the incremental sheet forming of commercial steel ASTM A653 CS-A G90 to predict maximum bending effort

Experimental investigations on the incremental sheet forming of commercial steel ASTM A653 CS-A... Single point incremental sheet forming stands out mainly by using traditional CNC machines to produce small batches of parts or customized products. Thus, any excessive force in the process may compromise the integrity of the machining center or even damage the component itself, limiting its formability. Hence, this work presents the design of experiments to investigate the behavior of mechanical forming forces and optimize the process. The main goal was to build a mathematical function by regression analysis that best represents the theoretical model. The equation proposed here allows to locate and estimate the maximum effort F z_peak based on five input parameters: tool diameter; wall angle; sheet thickness; vertical step size; and tool feed rate. At the same time, determine the set of data that maximize the required formability. The test was carried out using a carbide coated tool K40 and a commercial sheet steel ASTM A653 CS-A G90. The following were found: the feed rate is not significant and can be maximized to reduce production time; the tool diameter and wall angle are significant, and they have a slight influence on the forces and both depends on the design area; the vertical step size is significant and the most important parameter to leveling the process to reach maximum formability. Finally, the sheet thickness is obviously significant; however, it is also specified by the design. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of the Brazilian Society of Mechanical Sciences and Engineering Springer Journals

Experimental investigations on the incremental sheet forming of commercial steel ASTM A653 CS-A G90 to predict maximum bending effort

Loading next page...
 
/lp/springer_journal/experimental-investigations-on-the-incremental-sheet-forming-of-7AF18kubC0
Publisher
Springer Journals
Copyright
Copyright © 2018 by The Brazilian Society of Mechanical Sciences and Engineering
Subject
Engineering; Mechanical Engineering
ISSN
1678-5878
eISSN
1806-3691
D.O.I.
10.1007/s40430-018-1251-0
Publisher site
See Article on Publisher Site

Abstract

Single point incremental sheet forming stands out mainly by using traditional CNC machines to produce small batches of parts or customized products. Thus, any excessive force in the process may compromise the integrity of the machining center or even damage the component itself, limiting its formability. Hence, this work presents the design of experiments to investigate the behavior of mechanical forming forces and optimize the process. The main goal was to build a mathematical function by regression analysis that best represents the theoretical model. The equation proposed here allows to locate and estimate the maximum effort F z_peak based on five input parameters: tool diameter; wall angle; sheet thickness; vertical step size; and tool feed rate. At the same time, determine the set of data that maximize the required formability. The test was carried out using a carbide coated tool K40 and a commercial sheet steel ASTM A653 CS-A G90. The following were found: the feed rate is not significant and can be maximized to reduce production time; the tool diameter and wall angle are significant, and they have a slight influence on the forces and both depends on the design area; the vertical step size is significant and the most important parameter to leveling the process to reach maximum formability. Finally, the sheet thickness is obviously significant; however, it is also specified by the design.

Journal

Journal of the Brazilian Society of Mechanical Sciences and EngineeringSpringer Journals

Published: May 31, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off