Digital photonic production along the lines of industry 4.0

Poprawe, Reinhart; Hinke, Christian; Eibl, Florian; Zarei, Omid; Voshage, Maximilian; Ziegler, Stephan; Schleifenbaum, Johannes Henrich; Gasser, Andrés; Schopphoven, Thomas; Willenborg, Edgar; Flemmer, John; Weingarten, Christian; Finger, Johannes; Reininghaus, Martin

doi:10.1117/12.2292316

Cited by 15 publications

(7 citation statements)

References 28 publications

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“…This allows raw material (lower right) to be ablated, applied, or locally modified in the smallest 2D or 3D surface or volume units (lower center). Essentially, (i) laser beam source (power, time distribution), (ii) optical system (focal length, spot size), and (iii) beam guiding system (spatial distribution x, y, z) are controlled by digital data (Poprawe et al 2018). At the same time, laser-based manufacturing processes can be adjusted and thus corrected extremely quickly and precisely during the manufacturing process.…”

Section: Use Case Iv: Laser Materials Processing Market Pull For Digi...mentioning

confidence: 99%

Design Elements of a Platform-Based Ecosystem for Industry Applications

Millan,

Becker,

Christou

et al. 2023

Interdisciplinary Excellence Accelerator Series

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Many companies in the Industry 4.0 (I4.0) environment are still lacking knowledge and experience of how to enter and participate in a platform-based ecosystem to gain long-term competitive advantages. This leads to uncertainty among firms when transforming into platform-based ecosystems. The article presents a structuralist approach to conceptualize the platform-based ecosystem construct, giving an overview of the literature landscape in a model bundled with unified terminology and different perspectives. The holistic process model aggregates the findings of 130 papers regarding platform-based ecosystem literature. It consists of 4 phases and 16 design elements that unify different terminologies from various research disciplines in one framework and provide a structured and process-oriented approach. Besides, use cases for different design elements were developed to make the model apply in an I4.0 context. Use Case I is a methodology that can be used to model and validate usage hypotheses based on usage data to derive optimization potential from identified deviations from real product usage. By collecting and refining data for analyzing different manufacturing applications and machine tool behavior the importance of specific data is shown in Use Case II and it is highlighted which data can be shared from an external perspective. Use Case III deals with strategic modeling of platform-based ecosystems and the research identifies control points that platform players can actively set to adjust their business models within alliance-driven cooperation to create and capture value jointly. Use Case IV investigates the status quo and expectations regarding platform-based ecosystems in the field of laser technology with the help of structured expert interviews. Overall, this chapter presents a framework on industrial platform-based ecosystems that gives researchers and practitioners a tool and specific examples to get started in this emerging topic.

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Section: Use Case Iv: Laser Materials Processing Market Pull For Digi...mentioning

confidence: 99%

Design Elements of a Platform-Based Ecosystem for Industry Applications

Millan,

Becker,

Christou

et al. 2023

Interdisciplinary Excellence Accelerator Series

Self Cite

View full text Add to dashboard Cite

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“…A distinction between two different process control strategies is to be made depending on the temperature of particles before they enter the melt pool: For one, there is conventional LMD with particle temperatures that are predominantly lower than the melting temperature T p < T M , or (T s − T p ) > 0. For the other, there is the extreme high-speed laser material (EHLA) process in which a large share of the particles are to be fully melted by the laser beam before they arrive in the melt pool T p > T M , or (T s − T p ) < 0 [1,[4][5][6][7]. Figure 2 illustrates the principle of the conventional LMD process with a continuous coaxial powder nozzle.…”

Section: Process Ccontrol In Laser Materials Depositionmentioning

confidence: 99%

“…Unlike the process control for LMD, where the powder melts as it contacts the melt pool, in the EHLA process, the laser beam melts the powder above the surface of the substrate to deliver a liquid to the melt pool. Saving time otherwise required to melt the particles in the melt pool, this can increase the achievable feed rate from a few meters per minute to up to several hundred meters per minute [4][5][6][7]. Figure 3 illustrates the principle of the EHLA process.…”

Section: Process Control In Extreme High-speed Laser Materials Depositionmentioning

confidence: 99%

Statistical/Numerical Model of the Powder-Gas Jet for Extreme High-Speed Laser Material Deposition

et al. 2020

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Extreme high-speed laser material deposition, known by its German acronym EHLA, is a new variant of laser material deposition (LMD) with powdered additives. This variant’s process control is unlike that of LMD, where the powder melts as it contacts the melt pool. In the EHLA process, the laser beam melts the powder above the surface of the substrate to deliver a liquid to the melt pool. At a given intensity distribution in a laser beam, the heating of powder particles in the beam path depends largely on the three-dimensional powder particle density distribution (PDD) and the relative position within the laser beam caustic. As a key element of a comprehensive numerical process model for EHLA, this paper presents a statistical/numerical model of the powder-gas jet, as previously published in Experimentelle und modelltheoretische Untersuchungen zum Extremen Hochgeschwindigkeits-Laserauftragschweißen. The powder-gas jet is characterized experimentally and described with a mathematical model. This serves to map the PDD of the powder-gas flow—and particularly the particle trajectories for different grain fractions—as well as the powder mass flows and carrier and inert gas settings, to a theoretical model. The result is a numerical description of the particle trajectories that takes into account the measured particle size distribution with calculations made on the assumption of a constant particle velocity and linear trajectories of the particles.

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“…Equally important, the estimated total energy demand per product decreased by 57%. Along the lines of digital twin and digital manufacturing the interesting concept of "digital photonic production" has been presented in the laser community by Poprawe et al 14 . In essence, digital photonic production has the capability to digitally design a component or product and fabricate it directly by additive or subtractive "photon-based" processes.…”

Section: Multi-wave Light Technology (Mwlt)mentioning

confidence: 99%