Robustness of macro-structured deep drawing process

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

Reaching robustness of forming processes is one of the main challenges in manufacturing technologies. Volatile material properties [1] and fluctuations in process parameters often result in insufficient part quality and rising production costs, especially in production chains [2]. As a common solution for this problem, numerical simulations are used to consider scattering of material parameters and define a useable process window with a specified safety margin. A new approach is the use of macro-structured tools. Result shown here indicate, in addition to the general enlargement of the useable process window [3], a high tolerance toward volatile material properties and variations of the blank. The produced parts show consistent quality with a reduction in residual stresses [4]. To examine the robustness in particular, virtual studies for steel alloy DX54 with varying alignment of the blank were performed. The resulting properties, such as the blank draw-in, thinning and springback, were examined in predefined positions on the blank to compare the experiments. The enlarged process window will be analysed and a strategy for a deeper understanding of the forming process will be generated, which will sustain the design of robust tools and processes.

Details

Original languageEnglish
Article number012021
Number of pages8
JournalIOP Conference Series: Materials Science and Engineering
Volume1307
Issue number1
Publication statusPublished - Jan 2024
Peer-reviewedYes

Conference

Title43th International Deep Drawing Research Group Conference
SubtitleForming for a sustainable future
Abbreviated titleIDDRG 2024
Conference number43
Duration12 - 15 March 2024
Website
Degree of recognitionInternational event
LocationDeakin University
CityMelbourne
CountryAustralia

External IDs

ORCID /0000-0002-1043-7746/work/166326523
ORCID /0000-0001-9798-8358/work/166326561
Mendeley b5003c7b-a98c-3471-9e73-c9cae91fde55