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Scopus Author ID: 57209574179

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Employment (1)

Fraunhofer Institute for Machine Tools and Forming Technology: Chemnitz, DE

Employment
Source: Self-asserted source
Patrick Link

Works (6)

Capturing and incorporating expert knowledge into machine learning models for quality prediction in manufacturing

Journal of Intelligent Manufacturing
2022 | Journal article
DOI: 10.1007/s10845-022-01975-4
EID:

2-s2.0-85133596512

Part of ISSN: 15728145 09565515
Contributors: Link, P.; Poursanidis, M.; Schmid, J.; Zache, R.; von Kurnatowski, M.; Teicher, U.; Ihlenfeldt, S.
Source: Self-asserted source
Patrick Link via Scopus - Elsevier

Metamodeling of a deep drawing process using conditional Generative Adversarial Networks

IOP Conference Series: Materials Science and Engineering
2022-05-01 | Journal article
DOI: 10.1088/1757-899x/1238/1/012064
Part of ISSN: 1757-8981
Part of ISSN: 1757-899X
Contributors: Patrick Link; Johannes Bodenstab; Lars Penter; Steffen Ihlenfeldt
Source: Self-asserted source
Patrick Link

Application of Fourier-related data reduction methods in sheet metal forming

Procedia CIRP
2021 | Conference paper
DOI: 10.1016/j.procir.2021.03.038
EID:

2-s2.0-85106412341

Part of ISSN: 22128271
Contributors: Schwarz, C.; Link, P.; Ihlenfeldt, S.; Drossel, W.-G.
Source: Self-asserted source
Patrick Link via Scopus - Elsevier

Compensating data shortages in manufacturing with monotonicity knowledge

Algorithms
2021 | Journal article
DOI: 10.3390/a14120345
EID:

2-s2.0-85121466063

Part of ISSN: 19994893
Contributors: von Kurnatowski, M.; Schmid, J.; Link, P.; Zache, R.; Morand, L.; Kraft, T.; Schmidt, I.; Schwientek, J.; Stoll, A.
Source: Self-asserted source
Patrick Link via Scopus - Elsevier

A review of machine learning for the optimization of production processes

International Journal of Advanced Manufacturing Technology
2019 | Journal article
DOI: 10.1007/s00170-019-03988-5
EID:

2-s2.0-85068157042

Part of ISSN: 14333015 02683768
Contributors: Weichert, D.; Link, P.; Stoll, A.; Rüping, S.; Ihlenfeldt, S.; Wrobel, S.
Source: Self-asserted source
Patrick Link via Scopus - Elsevier

Predictive Analysis from numerical and experimental data in press hardening

IOP Conference Series: Materials Science and Engineering
2019 | Conference paper
DOI: 10.1088/1757-899X/651/1/012060
EID:

2-s2.0-85078221074

Part of ISSN: 1757899X 17578981
Contributors: Penter, L.; Link, P.; Stoll, A.; Albert, A.; Ihlenfeldt, S.
Source: Self-asserted source
Patrick Link via Scopus - Elsevier
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