Dpart – A Digital Twin Framework for the Machining Domain

Abstract

Todays’ heterogeneous manufacturing environments and isolated manufacturing elements hinder the realization of a complete and data consistent digital twin. Against this background, an increased connectivity based on the Industrial Internet of Things (IIoT) might be the future key enabler for the digital twin. However, it requires each domain to transfer, rearrange and rethink their individual data solutions in a framework that is IIoT-ready. This paper presents an IIoT-based implementation of a digital twin framework for machining, enabling the creation of a complete and data consistent digital twin throughout process planning, manufacturing and quality assurance. Different use cases are introduced based on the example of a blade integrated disk for modern turbofan engines.

Cloud-based process design in a digital twin framework with integrated and coupled technology models for blisk milling

“…The first introduction of "dPart" implemented as a crosssystem solution for data-consistent digital twinning in the machining domain can be found in (Ganser et al, 2021b). dPart combines the implementation of the ISO 23247 (ISO 23247-2, 2022) reference architecture with the big data lambda architecture (Marz and Warren, 2015).…”

“…The axial depth of cut was set to a p = 0.4 mm, the radial depth of cut, respectively the blade material offset was set to a e = 0.2 mm and the feed per tooth was f z = 0.06 mm. Extensive process data acquisition took place as part of the investigation applying elements from the data acquisition and device control domain of dPart (Ganser et al, 2021b). Machine-internal signals, such as the position data of the linear and rotational axes, as well as the load signals of all drives were recorded by the edge data acquisition at a frequency of approximately 250 Hz.…”