Zobrazeno 1 - 10
of 573
pro vyhledávání: '"Fleischer Jürgen"'
Publikováno v:
AUTEX Research Journal, Vol 21, Iss 3, Pp 341-351 (2020)
Fiber injection molding is an innovative approach for the manufacturing of nonwoven preforms but products currently lack a homogeneous fiber distribution. Based on a mold-integrated monitoring system, the uniformity of the manufactured preforms will
Externí odkaz:
https://doaj.org/article/f75bc627dca4432e9ffd3acca4d4c8c9
Autor:
Goebels, Max, Baumgärtner, Jan, Fuchs, Tobias, Mühlbeier, Edgar, Puchta, Alexander, Fleischer, Jürgen
Industrial robots are commonly used in various industries due to their flexibility. However, their adoption for machining tasks is minimal because of the low dynamic stiffness characteristic of serial kinematic chains. To overcome this problem, we pr
Externí odkaz:
http://arxiv.org/abs/2404.11271
Publikováno v:
MATEC Web of Conferences, Vol 237, p 01009 (2018)
5-axis flank milling is applied extensively in aerospace, die-molds, and automotive industries because of high efficient material removal rate. Commercial CAM software can only simulate the tool path and collision at present, but cannot handle with c
Externí odkaz:
https://doaj.org/article/0313fcdb879e40dd91f45cf8f928a0dd
Publikováno v:
MATEC Web of Conferences, Vol 237, p 03007 (2018)
The continuous search for efficiency put forward higher requests to the machine tool for high speed and high acceleration, which makes the large-size and lightweight-designed feed drive system more likely to produce vibration during high-speed and hi
Externí odkaz:
https://doaj.org/article/f344b23ebbb24fcdb16184ea08f865c0
Data analysis plays an indispensable role for value creation in industry. Cluster analysis in this context is able to explore given datasets with little or no prior knowledge and to identify unknown patterns. As (big) data complexity increases in the
Externí odkaz:
http://arxiv.org/abs/2106.12792
Autor:
Dittus, Sven, Alt, Benjamin, Hermann, Andreas, Katic, Darko, Jäkel, Rainer, Fleischer, Jürgen
This paper introduces an efficient procedure to localize user-defined points on the surface of deformable objects and track their positions in 3D space over time. To cope with a deformable object's infinite number of DOF, we propose a discretized def
Externí odkaz:
http://arxiv.org/abs/2105.09067
Publikováno v:
Data in Brief, 39, 107643 (2021)
Using machine learning (ML) techniques in general and deep learning techniques in specific needs a certain amount of data often not available in large quantities in technical domains. The manual inspection of machine tool components and the manual en
Externí odkaz:
http://arxiv.org/abs/2103.13003
Publikováno v:
In: CIRP Journal of Manufacturing Science and Technology (35), S. 169-177 (2021)
This paper provides a novel approach to stitching surface images of rotationally symmetric parts. It presents a process pipeline that uses a feature-based stitching approach to create a distortion-free and true-to-life image from a video file. The de
Externí odkaz:
http://arxiv.org/abs/2012.00308
Autor:
Denk, Florian, Schabel, Sebastian, Hoffmann, Alexander, Scharfer, Philip, Schabel, Wilhelm, Fleischer, Jürgen
Publikováno v:
In Procedia CIRP 2024 121:133-137