Illustration of an improved non-invasive form finding algorithm

2018 ◽  
Author(s):  
Michael Caspari ◽  
Philipp Landkammer ◽  
Paul Steinmann
Keyword(s):  
Form Finding ◽  
Non Invasive

Improvements on a non-invasive, parameter-free approach to inverse form finding

2017 ◽  
Vol 61 (4) ◽  
pp. 433-447 ◽  
Author(s):  
P. Landkammer ◽  
M. Caspari ◽  
P. Steinmann
Keyword(s):  
Form Finding ◽  
Non Invasive ◽  
Inverse Form

scholarly journals Shape Optimization of a Backward Extrusion Process Using a Non-Invasive Form Finding Algorithm

2020 ◽  
Vol 47 ◽  
pp. 873-880
Author(s):  
Michael Caspari ◽  
Phillipp Landkammer ◽  
Paul Steinmann
Keyword(s):  
Shape Optimization ◽  
Extrusion Process ◽  
Form Finding ◽  
Non Invasive ◽  
Backward Extrusion

A non-invasive form finding method with application to metal forming

2016 ◽  
Vol 10 (1) ◽  
pp. 93-102 ◽  
Author(s):  
Philipp Landkammer ◽  
Thomas Schneider ◽  
Robert Schulte ◽  
Paul Steinmann ◽  
Marion Merklein
Keyword(s):  
Metal Forming ◽  
Form Finding ◽  
Non Invasive ◽  
Finding Method

scholarly journals A global damping factor for a non-invasive form finding algorithm

PAMM ◽  
2015 ◽  
Vol 15 (1) ◽  
pp. 327-328 ◽  
Author(s):  
Philipp Landkammer ◽  
Paul Steinmann
Keyword(s):  
Damping Factor ◽  
Form Finding ◽  
Non Invasive

Application of a Non-Invasive Form Finding Algorithm to the Ring Compression Test with Varying Friction Coefficients

2015 ◽  
Vol 651-653 ◽  
pp. 1381-1386 ◽  
Author(s):  
Philipp Landkammer ◽  
Paul Steinmann
Keyword(s):  
Compression Test ◽  
Simulation Software ◽  
Parameter Study ◽  
Optimization Approach ◽  
Ring Compression Test ◽  
Form Finding ◽  
Non Invasive ◽  
Inverse Form ◽  
Ring Compression ◽  
Functional Components

It is a great challenge in the development of functional components to determine the optimal blank design (material configuration) of a workpiece according to a specific forming process, while knowing the desired target geometry (spatial configuration). A new iterative non-invasive algorithm, which is purely based on geometrical considerations, is developed to solve inverse form finding problems. The update-step is performed by mapping the nodal spatial difference vector, between the computed spatial coordinates and the desired spatial target coordinates, with a smoothed deformation gradient to the discretized material configuration. The iterative optimization approach can be easily coupled non-invasively via subroutines to arbitrary finite element codes such that the pre-processing, the solving and the post-processing can be performed by the habitual simulation software. This is exemplary demonstrated by an interacting between Matlab (update procedure for inverse form finding) and MSC.MarcMentat (metal forming simulation). The algorithm succeeds for a parameter study of a ring compression test within nearly linear convergence rates, despite highly deformed elements and tangential contact with varying friction parameters.

X-ray microtomography

1988 ◽  
Vol 46 ◽  
pp. 998-999
Author(s):  
H.W. Deckman ◽  
B.F. Flannery ◽  
J.H. Dunsmuir ◽  
K.D' Amico
Keyword(s):  
Computed Tomography ◽  
Internal Structure ◽  
Imaging Technique ◽  
Three Dimensional ◽  
Tissue Structure ◽  
Individual Element ◽  
X Ray ◽  
Non Invasive ◽  
Panoramic Imaging ◽  
Three Dimensional Images

We have developed a new X-ray microscope which produces complete three dimensional images of samples. The microscope operates by performing X-ray tomography with unprecedented resolution. Tomography is a non-invasive imaging technique that creates maps of the internal structure of samples from measurement of the attenuation of penetrating radiation. As conventionally practiced in medical Computed Tomography (CT), radiologists produce maps of bone and tissue structure in several planar sections that reveal features with 1mm resolution and 1% contrast. Microtomography extends the capability of CT in several ways. First, the resolution which approaches one micron, is one thousand times higher than that of the medical CT. Second, our approach acquires and analyses the data in a panoramic imaging format that directly produces three-dimensional maps in a series of contiguous stacked planes. Typical maps available today consist of three hundred planar sections each containing 512x512 pixels. Finally, and perhaps of most import scientifically, microtomography using a synchrotron X-ray source, allows us to generate maps of individual element.

Non-invasive measurement of a fermentation pattern shift in infants during the first three months of life

2001 ◽  
Vol 120 (5) ◽  
pp. A266-A266
Author(s):  
R BUTLER ◽  
B ZACHARAKIS ◽  
D MOORE ◽  
K CRAWFORD ◽  
G DAVIDSON ◽  
...  
Keyword(s):  
Non Invasive ◽  
Fermentation Pattern ◽  
Invasive Measurement
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