Results 31 to 40 of about 3,571,294 (260)
Research on Formability of 304 Stainless Steel Foil Micro-Deep Drawing [PDF]
Archives of Metallurgy and Materials, 2023 The 0.05 mm-thick 304 stainless steel foil was annealed within the temperature range from 950℃-1100℃ for 10 minutes to obtain different microstructures.
Yulin Xing, Peisheng Han, Xiaogang Wang
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Physically Embodied Deep Image Optimisation [PDF]
5th Workshop on Machine Learning for Creativity and Design of the
Neural Information Processing Systems (NeurIPS) 2021 Conference, 2022 Physical sketches are created by learning programs to control a drawing robot. A differentiable rasteriser is used to optimise sets of drawing strokes to match an input image, using deep networks to provide an encoding for which we can compute a loss. The optimised drawing primitives can then be translated into G-code commands which command a robot to ...
arxiv
International Journal of Automotive Science and Technology, 2018 In this study, it is aimed to make comparison of four different steel sheet materials that are widely used in deep drawing applications by taking blank holder force and friction conditions into account.
M. Emin Erdi̇n, Özgür Özdi̇lli̇
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Influence of Annealing Treatment on Deep Drawing Behavior of Q235 Carbon Steel /410/304 Stainless Steels Three-Layer Composite Plate [PDF]
Archives of Metallurgy and Materials, 2022 Effect of annealing treatment on deep drawing behavior of hot-rolled Q235 carbon steel/410/304 stainless steel three-layer composite plate was investigated.
Zehua Lv +3 more
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Development of hydro-mechanical deep drawing
Journal of Materials Processing Technology, 1998 The hydro-mechanical deep-drawing process is reviewed in this article. The process principles and features are introduced and the developments of the hydro-mechanical deep-drawing process in process performances, in theory and in numerical simulation are described. The applications are summarized. Some other related hydraulic forming processes are also
Zhang, Shi-Hong, Danckert, Joachim
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Deep Neural Network for DrawiNg Networks, (DNN)^2 [PDF]
arXiv, 2021 By leveraging recent progress of stochastic gradient descent methods, several works have shown that graphs could be efficiently laid out through the optimization of a tailored objective function. In the meantime, Deep Learning (DL) techniques achieved great performances in many applications.
arxiv
The Occurrence of Rupture in Deep-Drawing of Paperboard
BioResources, 2016 The production of paperboard packaging components in fast-running machines requires reliability of the production process. Boundaries for the process parameters and constraints for the geometry of the tools require investigation to determine dependable configurations.
Wallmeier, Malte +2 more
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SmartGD: A GAN-Based Graph Drawing Framework for Diverse Aesthetic Goals [PDF]
arXiv, 2022 While a multitude of studies have been conducted on graph drawing, many existing methods only focus on optimizing a single aesthetic aspect of graph layouts, which can lead to sub-optimal results. There are a few existing methods that have attempted to develop a flexible solution for optimizing different aesthetic aspects measured by different ...
arxiv
Identifying Cluttering Edges in Near-Planar Graphs [PDF]
arXiv, 2023 Planar drawings of graphs tend to be favored over non-planar drawings. Testing planarity and creating a planar layout of a planar graph can be done in linear time. However, creating readable drawings of nearly planar graphs remains a challenge. We therefore seek to answer which edges of nearly planar graphs create clutter in their drawings generated by
arxiv
Zoning Lubricant Die Application for Improving Formability of Box-Shaped Deep Drawn Parts
Metals, 2021 The ‘formability’ of sheet metal is a major keyword referring to process design in the sheet metal forming industry. Higher formability could reflect lower production costs and time.
Wiriyakorn Phanitwong +2 more
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