Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Birgit Obst"'
Autor:
Rishith E. Meethal, Anoop Kodakkal, Mohamed Khalil, Aditya Ghantasala, Birgit Obst, Kai-Uwe Bletzinger, Roland Wüchner
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 10, Iss 1, Pp 1-23 (2023)
Abstract We introduce a novel hybrid methodology that combines classical finite element methods (FEM) with neural networks to create a well-performing and generalizable surrogate model for forward and inverse problems. The residual from finite elemen
Externí odkaz:
https://doaj.org/article/22dd9c53df344dc98c91e8653652d31c
Autor:
Felix Schöppenthau, Florian Patzer, Boris Schnebel, Kym Watson, Nikita Baryschnikov, Birgit Obst, Yashkumar Chauhan, Domenik Kaever, Thomas Usländer, Piyush Kulkarni
Publikováno v:
Sensors, Vol 23, Iss 17, p 7396 (2023)
Manufacturing as a Service (MaaS) enables a paradigm shift in the current manufacturing landscape, from integrated production and inflexible, fragile supply chains to open production and flexible, robust supply chains. As part of this evolution, new
Externí odkaz:
https://doaj.org/article/0140189fbb954da68ecf0c275c2bb8c7
Autor:
Rishith E. Meethal, Anoop Kodakkal, Mohamed Khalil, Aditya Ghantasala, Birgit Obst, Kai-Uwe Bletzinger, Roland Wüchner
We introduce a novel hybrid methodology that combines classical finite element methods (FEM) with neural networks to create a well-performing and generalizable surrogate model for forward and inverse problems. The residual from finite element methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ff7025af7baa815e48f350253dd7e92
https://doi.org/10.21203/rs.3.rs-1782195/v1
https://doi.org/10.21203/rs.3.rs-1782195/v1
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 115:275-289
The simulation of subtractive manufacturing processes has a long history in engineering. Corresponding predictions are utilized for planning, validation and optimization, e.g., of CNC-machining processes. With the up-rise of flexible robotic machinin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::153f013bc6c3027b842eb4c5d6121b63
https://doi.org/10.1007/s00170-021-07001-w
https://doi.org/10.1007/s00170-021-07001-w
Publikováno v:
CIRP Annals. 69:337-340
Industrial robots, used for milling processes, have to execute highly dynamic and accurate movements. External static and dynamic process forces lead to static deflections and dynamic excitations. In this paper, we present a coupled offline simulatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f83ac0c243a2303d3f6c2c3e6088778
https://doi.org/10.1016/j.cirp.2020.04.045
https://doi.org/10.1016/j.cirp.2020.04.045
Sampling approaches for uncertainty quantification for real-world engineering problems are associated with large computational time and cost. This cost comes from the expensive deterministic simulation. Usage of surrogate models is a common way to ov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2fa2abde817eb0a95575662e660d075
https://www.scipedia.com/public/Kodakkal_et_al_2021a
https://www.scipedia.com/public/Kodakkal_et_al_2021a
Publikováno v:
Artificial Intelligence for Engineering Design, Analysis and Manufacturing. 31:173-184
The paper discusses a new method for the propagation of risk levels. This discretization takes place by considering the phase space of the state and its subdivision into boxes. In each time step, the method computes the probability of the state being
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e63483410d032b632d2373762a4b1519
https://doi.org/10.1017/s0890060417000063
https://doi.org/10.1017/s0890060417000063
Publikováno v:
INDIN
In this paper a generic simulation environment is introduced that allows the integration of commercial and research-based simulation tools in a service-oriented manufacturing environment, such as in Industrie 4.0 factories, to support in flexible rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e49f957687ff03346174ee3d2bcacb53
https://doi.org/10.1109/indin.2017.8104933
https://doi.org/10.1109/indin.2017.8104933