Results 81 to 90 of about 3,571,294 (260)
Behaviour of X5 CrNiMo 17-12-2 material during deep drawing process
Metalurgija, 2012 The subject of this paper is investigation of steel X5CrNiMo 17-12-2 in a deep drawing process. Material and mechanical properties are investigated in order to obtain a number of parameters that are needed for the deep drawing process.
M. Kršulja, Z. Car, H. Radelja
doaj
Effect of Lankford Coefficients on Springback Behavior during Deep Drawing of Stainless Steel Cylinders. [PDF]
Materials (Basel), 2023 Wu F, Hong Y, Zhang Z, Huang C, Huang Z.
europepmc +1 more source
, 1987 A procedure was developed to fabricate uranium forming blanks with high ''draw-ability'' so that cup shapes could be easily and uniformly deep drawn. The overall procedure involved a posttreatment to develop optimum mechanical and structural properties in the deep-drawn cups.
M R Lundberg, R J Jackson
openaire +3 more sources
Analysis of TiO2 Nanolubricant Influence in Micro Deep Drawing of Stainless Steel SUS301. [PDF]
Materials (Basel), 2023 Pan D +8 more
europepmc +1 more source
工程科学学报, 2015 Cup-drawing test was performed to study the effect of transverse pre-stretching, namely 3%, 6%, 9% and 12% deformation, on the surface ridging resistance during deep drawing of a 17% Cr ultra-purified ferritic stainless steel cold-rolled annealed sheet ...
XIONG Qiang, CHEN Yu-lai, LI Jing-yuan
doaj +1 more source
Deep Drawing Behavior of Metal-Composite Sandwich Plates. [PDF]
Materials (Basel), 2022 Hwang SF, Li YR.
europepmc +1 more source
Mask Editor : an Image Annotation Tool for Image Segmentation Tasks [PDF]
arXiv, 2018 Deep convolutional neural network (DCNN) is the state-of-the-art method for image segmentation, which is one of key challenging computer vision tasks. However, DCNN requires a lot of training images with corresponding image masks to get a good segmentation result.
arxiv
Influence of TiN Coating on the Drawing Force and Friction Coefficient in the Deep Drawing Process of AlMg4.5Mn0.7 Thin Sheets. [PDF]
Materials (Basel), 2023 Djordjević MT +7 more
europepmc +1 more source
Symmetry Detection and Classification in Drawings of Graphs [PDF]
arXiv, 2019 Symmetry is a key feature observed in nature (from flowers and leaves, to butterflies and birds) and in human-made objects (from paintings and sculptures, to manufactured objects and architectural design). Rotational, translational, and especially reflectional symmetries, are also important in drawings of graphs.
arxiv
Improving the formability of magnesium by cushion-ram-pulsation
MATEC Web of Conferences, 2018 The application of forming processes using lightweight magnesium alloys is known to be difficult with regard to minor formability caused by a small number of active slip systems, especially at low temperatures. However, a new approach for deep drawing at
Rautenstrauch Anja +8 more
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