Development of an adaptive quality control loop in micro-production using machine learning, analytical gear simulation, and inline focus variation metrology for zero …

D Gauder, J Gölz, N Jung, G Lanza - Computers in Industry, 2023 - Elsevier
This publication addresses the adaptive control of manufacturing deviations in micro gear
hobbing. We aim to establish Zero Defect Manufacturing in a series production using …

Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears

D Gauder, A Bott, J Gölz, G Lanza - Computers in Industry, 2023 - Elsevier
Simulative gear rolling enables the integration of function-oriented quality assurance into
production processes for Zero Defect Manufacturing (ZDM). A simulated single flank rolling …

Quantifying predictive uncertainty in damage classification for nondestructive evaluation using Bayesian approximation and deep learning

Z Li, Y Deng - Inverse Problems, 2024 - iopscience.iop.org
Magnetic flux leakage (MFL), a widely used nondestructive evaluation (NDE) method, for
inspecting pipelines to prevent potential long-term failures. However, during field testing …

Soft sensor for in-line quality control of turning processes based on non-destructive testing techniques and advanced data fusion

D Böttger, G González, A Geiser, D Kempf… - Production …, 2024 - Springer
This study describes the systematic process of training, testing, and validating a soft sensor
designed for quality control of a turning process on components made of AISI 4140 steel …

[图书][B] Uncertainty Quantification Framework With Interdependent Dynamics of Data, Modeling, and Learning in Nondestructive Evaluation

Z Li - 2023 - search.proquest.com
Even after extensive efforts to enhance our understanding of materials, modeling, and
system processes, uncertainty continues to be an inevitable factor that impacts system …