Experimental validation of numerical sensitivities in a deep drawing simulation
Source abstract
Abstract
Deep drawing of a benchmark B-pillar is numerically modelled and experimentally performed with varying blankholder force and several blank shape parameters. The most influential parameters are selected for optimisation. Direct application of Autoform sigma software was used to determine sensitivities, as well as indirect application using response surfaces. Interesting nonlinear sensitivities were found that will be missed with simple linear screening techniques.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Metal Forming Simulation Techniques · Vibration and Dynamic Analysis · Metallurgy and Material Forming
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (3)
Show source-provided references
1. M. H. A. Bonte. Optimisation strategies for metal forming processes. PhD thesis, University of Twente, 2007.10.1007/3-540-69845-0_4 ↗
2. D. Montgomery. Design and analysis of experiments. John Wiley and Sons, Inc., New York, 5 edition, 2001.
3. E. V. ter Wijlen. Optimisation of a deep drawing process with experimental validation – applied to an automotive deep drawing process of a b-pillar. Master’s thesis, University of Twente, 2007.