Temat: thermal error compensation - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Application of machine learning in the precise and cost-effective self-compensation of the thermal errors of CNC machine tools – a review
Autorzy:: Czwartosz, Robert
Jedrzejewski, Jerzy
Powiązania:: https://bibliotekanauki.pl/articles/2142358.pdf
Data publikacji:: 2022
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: CNC machine tool
thermal error compensation
machine learning
self-learning
Opis:: The current development of production engineering takes place through the innovative improvement of machine tools and machining processes at the constantly growing application of intelligent self-improvement functions. Machine learning opens up possibilities for machine tool self-improvement in real time. This paper discusses the state of knowledge relating to the application of machine learning for precise and cost-effective thermal error self-compensation. Data acquisition and processing, models and model learning and self-learning methods are also considered. Three highly effective error compensation systems (supported with machine learning) are analysed and conclusions and recommendations for future research are formulated.
Źródło:: Journal of Machine Engineering; 2022, 22, 3; 59--77
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: An investigation of the relationship between encoder difference and thermo-elastic machine tool deformation
Autorzy:: Brecher, Christian
Dehn, Mathias
Neus, Stephan
Powiązania:: https://bibliotekanauki.pl/articles/24084708.pdf
Data publikacji:: 2023
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: machine tool
thermal error compensation
machine learning
artificial neural network
Opis:: New approaches, using machine learning to model the thermo-elastic machine tool error, often rely on machine internal data, like axis speed or axis position as input data, which have a delayed relation to the thermo-elastic error. Since there is no direct relation to the thermo-elastic error, this can lead to an increased computation inaccuracy of the model or the need for expensive sensor equipment for additional input data. The encoder difference is easy to obtain and has a direct relationship with the thermo-elastic error and therefore has a high potential to improve the accuracy thermo-elastic error models. This paper first investigates causes of the encoder difference and its relationship with the thermo-elastic error. Afterwards, the model is presented, which uses the encoder difference to compute the thermo-elastic error. Due to the complexity of the relationship, it is necessary, to use a machine learning approach for this. To conclude, the potential of the encoder difference as an input of the model is evaluated.
Źródło:: Journal of Machine Engineering; 2023, 23, 3; 26--37
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: New approach to spindle thermal extension measuring based on machine vision for the vertical maching centre
Autorzy:: Su, Dongxu
Cai, Xin
Li, Yang
Zhao, Wanhuan
Zhang, Huijie
Powiązania:: https://bibliotekanauki.pl/articles/1849108.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: Spindle thermal extension measuring
machine vision
Gaussian sub-pixel fitting
thermal error compensation
Opis:: When machine tool spindles are running at a high rotation speed, thermal deformation will be introduced due to the generation of large amounts of heat, and machining accuracy will be influenced as a result, which is a generalized issue in numerous industries. In this paper, a new approach based on machine vision is presented for measurements of spindle thermal error. The measuring system is composed of a Complementary Metal-Oxide-Semiconductor (CMOS) camera, a backlight source and a PC. Images are captured at different rotation angles during end milling process. Meanwhile, the Canny edge detection and Gaussian sub-pixel fitting methods are applied to obtain the bottom edge of the end mill which is then used to calculate the lowest point coordinate of the tool. Finally, thermal extension of the spindle is obtained according to the change of the lowest point at different time steps of the machining process. This method is validated through comparison with experimental results from capacitive displacement sensors. Moreover, spindle thermal extension during the processing can be precisely measured and used for compensation in order to improve machining accuracy through the proposed method.
Źródło:: Metrology and Measurement Systems; 2021, 28, 2; 357-370
0860-8229
Pojawia się w:: Metrology and Measurement Systems
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Real-Time Compensation of Machine Tool Thermal Error Including Cutting Process
Autorzy:: Horejs, O.
Mares, M.
Hornych, J.
Powiązania:: https://bibliotekanauki.pl/articles/99782.pdf
Data publikacji:: 2015
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: thermal error
real-time compensation
cutting process
Opis:: The challenge to be addressed by this paper is to extend the common machine tool thermal compensation models considering only internal heat sources to include the effects of the cutting process. Although real-time software compensations of thermal errors exist, the majority of these models only presume machine tools under load-free rotation of the main spindle without any reference to rough machining. The machining process is completely neglected in spite of the fact that it represents a significant heat source and causes workpiece inaccuracy. This paper presents a real-time compensation of three-axis vertical milling centre thermal errors including the cutting process effect. The simulation is based on dynamic modelling using transfer functions. The model was implemented into a standard CNC controller of a three-axis vertical milling centre to compensate for thermal errors in real time. The inputs of the compensation algorithm are the spindle rotational speed, the 5 temperatures of the machine structure and spindle power. A reduction of thermal errors achieved by using the new approximation TF model including cutting process impact is up to 79% for steel cutting tests with different cutting conditions.
Źródło:: Journal of Machine Engineering; 2015, 15, 3; 5-18
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Handling ambient temperature changes in correlative thermal error compensation
Autorzy:: Naumann, Christian
Geist, Alexander
Putz, Matthias
Powiązania:: https://bibliotekanauki.pl/articles/28407326.pdf
Data publikacji:: 2023
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: machine tool
thermal error
correlative compensation model
ambient effect
ETVE
environmental temperature variation error
Opis:: Thermal errors are one of the leading causes for positioning inaccuracies in modern machine tools. These errors are caused by various internal and external heat sources and sinks, which shape the machine tool’s temperature field and thus its deformation. Model based thermal error prediction and compensation is one way to reduce these inaccuracies. A new composite correlative model for the compensation of both internal and external thermal effects is presented. The composite model comprises a submodel for slow long- and medium-term ambient changes, one for short-term ambient changes and one for all internal thermal influences. A number of model assumptions are made to allow for this separation of thermal effects. The model was trained using a large number of FE simulations and validated online in a five-axis machine tool with measurements in a climate chamber. Despite the limitations, the compensation model achieved good predictions of the thermal error for both normal ambient conditions (21°C) and extreme ambient conditions (35°C).
Źródło:: Journal of Machine Engineering; 2023, 23, 4; 43--63
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Advanced Thermal Error Compensation of a Floor Type Machining Centre Allowing for the Influence of Interchangeable Spindle Heads
Autorzy:: Mares, M.
Horejs, O.
Hornych, J.
Powiązania:: https://bibliotekanauki.pl/articles/99507.pdf
Data publikacji:: 2015
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: heavy-duty machine tool
real-time compensation
thermal error
spindle head
Opis:: Thermal errors caused by internal and external heat sinks and sources may cause more than 50% of machine tool (MT) total error. Demands on machining accuracy and machine time utilization are still increasing. Therefore, research on thermal behaviour of MT structures is crucial for successful manufacturing. Direct (measuring between tool and work-piece) and indirect (predictive models) approaches to compensation of thermo-dependent tool centre point (TCP) displacement can be used to reduce sensitivity to heat flow or temperature control of MT and its environment. Thermal error indirect compensation is one of the techniques widely employed to reduce thermal errors due to its cost-effectiveness and ease of implementation. This paper is a continuation of scientific work on the modelling of complex MT thermal behaviour using a dynamic method with a physical basis: thermal transfer functions (TF). Previously published works focusing on middle-sized MTs are extended here to include heavy-duty MT application. Particular attention is paid to issues concerning compensation of thermal errors caused by interchangeable spindle heads.
Źródło:: Journal of Machine Engineering; 2015, 15, 3; 19-32
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

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