Statistical analysis on the impact of process parameters on tool damage during press hardening
Autor: | Friedrich Franek, Stefan Paar, Manel Rodríguez Ripoll, Reinhard Grundtner, Andreas Nevosad, Mario Schrenk, Gregor Rohm, Stefan Krenn |
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Rok vydání: | 2016 |
Předmět: |
0209 industrial biotechnology
Engineering drawing Materials science Material consumption business.industry Strategy and Management Design of experiments Test rig Automotive industry Mechanical engineering High strength steel 02 engineering and technology Management Science and Operations Research Industrial and Manufacturing Engineering 020303 mechanical engineering & transports 020901 industrial engineering & automation 0203 mechanical engineering Hardening (metallurgy) Statistical analysis Tool wear business |
Zdroj: | Journal of Manufacturing Processes. 23:222-230 |
ISSN: | 1526-6125 |
Popis: | Automotive parts made of ultra-high strength steels are produced by press hardening in order to obtain high-strength components. During this process, formed parts are pressed against tools at high temperature, which ultimately yields to tool damage. Tool damage is especially detrimental since it not only affects the quality of the parts but also causes higher material consumption and reduces maintenance intervals. The extent of tool damage is determined by the process parameters but their influence is not yet clearly understood. The aim of this work is to investigate the influence of input process parameters on tool wear and maximum drawing force. To this end, a novel test rig is designed in order to reproduce typical press hardening conditions under well-controlled laboratory conditions. This set up is used to modify selected input parameters according to a Design of Experiments in order to investigate their impact on tool wear and drawing force. The results obtained can be summarised into two simple equations, which depend only on the most dominant parameters. This method allows a quantitative optimisation of the press hardening process, as illustrated by a practical example. |
Databáze: | OpenAIRE |
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