Edge computing-based virtual measuring machine for process-parallel prediction of workpiece quality in metal cutting

Hybrid learning-based digital twin for manufacturing process: Modeling framework and implementation

“…This contains design and simulation data, planning data, manufacturing process data, and QM data. Results from design (digital part, tolerancing), planning (technology parameters in NC programs), process, and quality (measuring paths) are coupled into a semantic modeling workflow [9] according to the digital process chain (Fig. 4a1) proposed in Sec.…”

“…Specifically, we developed a force model based on contactless eddy current sensors, that are integrated into the spindle-integrated sensor, in order to reliably estimate cutting forces on the tooltip while maintaining the dynamic behavior of machines tools [30]. The force model is then coupled with a high-performance cutting process simulation [4] or a high-fidelity edge computing-powered analytical model [9] that is used for tool wear monitoring and workpiece quality monitoring. The real-time generated DT workpiece, together with the machine and tool condition, can be further incorporated into an integrated platform (Fig.…”

“…The result needs to be meticulously evaluated due to the discretization-induced error in the MRS that uses the discrete model, the so-called tri-dexel model. To better distinguish the implication of the force model and the varying stiffness, we implemented an edge computing-powered, generalized analytical model VMME (Virtual Measuring Machine at the Edge) for arbitrary features µ to estimate the virtual quality Q k [9] as the nominal result of the discrete approach (MRS):…”

“…In the production context, DT virtually maps machine tools and manufacturing processes from aggregated data sources. Along with the progress in edge computing [9], fog computing [10], cyber-physical production systems [11] and machine tools [12], AI-driven DT technique plays as new driven-force to create value-added and service from machine data in the era of Industry 4.0 [5,2]. Fig.…”