Adaptive Slicing and Process Optimization for Direct Metal Deposition to Fabricate Exhaust Manifolds
Metadata only
Datum
2020Typ
- Conference Paper
ETH Bibliographie
yes
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Abstract
Direct metal deposition is an additive technology that has the potential to fabricate large parts in multiple buildup directions. Especially curved, thin-walled geometries such as exhaust manifolds are a promising use case: In theory, direct metal deposition allows nearly arbitrary shapes. Internal surfaces that are not accessible with the final part could be inspected and machined in a stepwise buildup process. However, the successful production of such parts requires suitable algorithms for five-axis tool path planning as well as for the optimization of the parameters for the specific process. Herein, an adaptive slicing algorithm is presented that aligns the direction of each layer for minimized overhangs and creates the tool path under consideration of the process capabilities and limits. By a variation of the scan speed, the deposited powder per length and therefore the layer height can be modified continuously. A model-based feedforward control of the laser power accounts for the varying thermal conduction in thin walls. These approaches are integrated in a fully automated CAM software that generates a suitable tool path with locally adapted parameters. The fabrication of an exemplary exhaust manifold shows that the software reduces the manual preparation effort and enables a flexible additive manufacturing process. Mehr anzeigen
Publikationsstatus
publishedExterne Links
Buchtitel
Industrializing Additive ManufacturingSeiten / Artikelnummer
Verlag
SpringerKonferenz
Thema
Direct metal deposition; Adaptive slicing; Tool path planning; Process optimization; CAM programmingOrganisationseinheit
03641 - Wegener, Konrad (emeritus) / Wegener, Konrad (emeritus)
Zugehörige Publikationen und Daten
Is part of: http://hdl.handle.net/20.500.11850/450196
Anmerkungen
Due to the Coronavirus (COVID-19) the conference was held as a hybrid conference with participants on site and remote.ETH Bibliographie
yes
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