Process Monitoring And Real Time Algorithmic For Hot Stamping Lines

Author:

Vollmer Robert,Palm Christian

Publisher

Elsevier BV

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering

Reference5 articles.

1. Investitionen: Digitalisierungsstrategie in Zahlen;Illner,2018

2. Grundlagen und Definitionen einer Industrie 4.0;Lucks,2017

3. Industrie 4.0 und plattformbasierte Geschäftsmodellinnovationen;Kagermann,2017

4. S. Maier, T. Schmerbeck, A. Liebig, T. Kautz, W. Volk, Potentials for the use of tool-integrated in-line data acquisition systems in press shops, iddrg 2017 C/34/17.

5. W. Volk, M. Hiller, S. Maier, Chances and Limitations of In-Line Measurement for Automotive Press Shops, in: 10thForming Technology Forum: Model Based Control for Smart Forming Processes, 2017.

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1. Control System for Automated Technological Process of Hot Stamping—A Case Study;Materials;2023-05-11

2. Hot Stamping Blank Position Detection System Based on Infrared Image;Atlantis Highlights in Materials Science and Technology;2023

3. Towards Cognitive Forming Machines: Utilization of Digital Twin-Based Virtual Sensors;The 28th Saxon Conference on Forming Technology SFU and the 7th International Conference on Accuracy in Forming Technology ICAFT;2022-11-09

4. Machine Learning-Based Surrogate Model for Press Hardening Process of 22MnB5 Sheet Steel Simulation in Industry 4.0;Materials;2022-05-20

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