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Extended discrete R-Test as on-machine measurement cycle to separate the thermal errors in Z-direction
(2020)Proceedings of Special Interest Group Meeting: Thermal IssuesThis paper presents an on-machine measurement cycle based on the discrete R-Test, which separate the thermal errors of the different machine components in Z-direction. The error separation in Z-direction is particularly required for five-axis machining processes. The extended discrete R-Test separates the thermal position and orientation errors of a vertical rotation axis, the thermal errors of the machine table and the thermal position ...Conference Paper -
Efficient thermo-mechanical model of a precision 5-axis machine tool
(2020)Conference Proceedings on Thermal Issues 2020Thermally induced deviations of machine tools result in geometric errors of manufactured parts. Thermo-mechanical models are a great asset in order to predict the thermal response of machine tools and understand the thermal design. This paper presents a thermo-mechanical model of a 5-axis precision machine tool, focusing on the thermal response during the rotation of the C-axis. In order to reduce the computational effort, this work uses ...Conference Paper -
On-machine measurement cycle for the adaptive thermal error compensation of linear axes
(2022)Proceedings of the 22nd International Conference of the European Society for Precision Engineering and NanotechnologyThermal compensation strategies are relevant for precision 5-axis machine tools, because thermal errors are among the major causes for geometric inaccuracies of machined workpieces. Therefore, many different compensation strategies have been developed to consider thermal errors in the numerical control of machine tools. However, automated and efficient thermal compensation strategies for 5-axis machine tools are still an outstanding ...Conference Paper -
Intelligent thermal compensation of machine tools
(2022)Wiener Produktionstechnik Kongress ~ Smart and Networked ManufacturingConference Paper -
An action-oriented teaching approach for intelligent and energy efficient precision manufacturing
(2022)Manufacturing Letters ~ 50th SME North American Manufacturing Research Conference (NAMRC 50,2022)Thermal errors of machine tools are a major contributor to inaccuracies of produced workpieces. Especially, the reduction of thermal errors without increasing the energy consumption of the machine tool and the shop floor due to exact air conditioning has a great social, scientific, and industrial relevance. Therefore, the Institute of Machine Tools and Manufacturing (IWF) at ETH Zürich set up a series of three lab courses to increase the ...Conference Paper -
Determination of remaining useful life by fusion of physical- and data-driven modeling
(2023)The aim of this publication is to develop a physical-rotordynamic model of a turbocompressor used in gas and oil production and to use it for predictive maintenance (pdM) purposes. The publication based on the programming of a suitable pdM algorithm. Real machine measurement data with a frequency of 0.0167Hz are used to infer the acting forces. These are assigned to the unbalances via a mathematical description. Unbalances on impellers ...Conference Paper -
Thermal Error Compensation Models Utilizing the Power Consumption of Machine Tools
(2023)3rd International Conference on Thermal Issues in Machine Tools (ICTIMT2023)Thermal errors are among the most significant contributors to deviations of products manufactured on modern machine tools (MTs). Reducing them is typically achieved through either design adaptation, active cooling of the MT and its environment, or compensation using measurements or model-based predictions. Model-based compensation strategies promise to have the lowest environmental footprint by far. In general, a compensation model needs ...Conference Paper -
Training efficient and compensating fast: Data augmentation for thermal error compensation models of machine tools
(2024)SIG : Thermal Issues - ProceedingsThe increasing importance of sustainability in manufacturing has created a trilemma situation between resource efficiency, productivity and precision. As the relevance of thermal errors increases with the shift to less cooling-reliant manufacturing approaches, compensation models for thermal errors have been proposed as a possible solution to the described trilemma. Since those data-driven compensation models are heavily reliant on both ...Conference Paper -
Model Uncertainty Estimation for Thermal Error Compensation in Machine Tools
(2024)SIG : Thermal Issues - ProceedingsThis paper introduces a method to compensate for thermal errors in machine tools (MT) using LSTM neural networks, with a focus on addressing prediction uncertainties. It presents the application of Monte Carlo Dropout (MC-Dropout) to estimate the uncertainty of LSTM predictions using data generated in a simulated MT environment. MC-Dropout offers a practical, computationally efficient method to allow for effective thermal error ...Conference Paper -
Simulation based comparison of thermal error modelling methods for machine tools
(2020)Conference Proceedings on Thermal Issues 2020The temperature field of machine tool structures change constantly in response to external and internal heat changes, as do the thermal deviations of the TCP. This leads to inaccuracy of machined work pieces. Therefore it is necessary to minimize the occurring thermal errors of machine tools. This paper shows, that for accurate thermal error models based on input-output behaviour, a dynamic modelling approach is necessary to capture the ...Conference Paper