Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Alex Kummer"'
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e29764- (2024)
The parameter identification of failure models for composite plies can be cumbersome, due to multiple effects as the consequence of brittle fracture. Our work proposes an iterative, nonlinear design of experiments (DoE) approach that finds the most i
Externí odkaz:
https://doaj.org/article/43a79a8d5b384581b9ecc19362464a7a
Publikováno v:
Entropy, Vol 26, Iss 7, p 571 (2024)
This paper highlights that metrics from the machine learning field (e.g., entropy and information gain) used to qualify a classifier model can be used to evaluate the effectiveness of separation systems. To evaluate the efficiency of separation syste
Externí odkaz:
https://doaj.org/article/d7a4c560549949e28da7f32e19c51730
Publikováno v:
Information, Vol 15, Iss 4, p 193 (2024)
We analyzed a special class of graph traversal problems, where the distances are stochastic, and the agent is restricted to take a limited range in one go. We showed that both constrained shortest Hamiltonian pathfinding problems and disassembly line
Externí odkaz:
https://doaj.org/article/6a8d610531404dddbdfddd317e104b77
Publikováno v:
Results in Engineering, Vol 16, Iss , Pp 100778- (2022)
A method for flexible vibration sensor-based retrofitting of CNC machines is proposed. As different states leave different fingerprints in the power spectrum plane, the states of the machine can be distinguished based on the features extracted from t
Externí odkaz:
https://doaj.org/article/b77a0164ce324bd7b76127440fb45966
Publikováno v:
Sensors, Vol 22, Iss 11, p 4268 (2022)
The present research presents a framework that supports the development and operation of machine-learning (ML) algorithms to develop, maintain and manage the whole lifecycle of modeling software sensors related to complex chemical processes. Our moti
Externí odkaz:
https://doaj.org/article/9974686d3d8d432f9ce88de52bef7aaa
Autor:
Alex Kummer, Tamas Varga
Publikováno v:
Chemical Engineering Transactions, Vol 70 (2018)
Model-based dynamic optimization is an effective tool for control and optimization of chemical processes, especially during transitions in operation. This study considers the dynamic optimization of load transitions. Poor operating point transition s
Externí odkaz:
https://doaj.org/article/fffbececf8bd4cbb91e28f08b17c6876
Publikováno v:
CIRP Journal of Manufacturing Science and Technology. 42:47-54
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c0c4e038fa885023753e98dd64974cc
https://doi.org/10.1016/j.cirpj.2023.02.002
https://doi.org/10.1016/j.cirpj.2023.02.002
Publikováno v:
Processes; Volume 11; Issue 5; Pages: 1503
Limitations regarding process design, optimization, and control often occur when using particular process simulators. With the implementation of connection methodologies, integrated tools could be made by coupling popular process simulation software
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b3300a406b823626925b44b7931f0b9
Publikováno v:
CIRP Journal of Manufacturing Science and Technology. 36:117-132
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c62296bed927d91f5caa3801b59bdbd
https://doi.org/10.1016/j.cirpj.2021.12.002
https://doi.org/10.1016/j.cirpj.2021.12.002
Publikováno v:
Periodica Polytechnica Chemical Engineering. 65:536-549
Energy efficiency, safety and stable operation of units are the most crucial aspects in every industrial process. In this study, Computational Fluid Dynamics (CFD) simulations were used to study heat transfer in a laboratory-sized tubular heat exchan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ff1ac8ccc295e5e86647cf032d5cddd
https://doi.org/10.3311/ppch.17095
https://doi.org/10.3311/ppch.17095