Journal of Machine Engineering, Vol. 15, No.1, 2015
Machining accuracy depends not only on geometric precision, but also on machine tool spindle erro... more Machining accuracy depends not only on geometric precision, but also on machine tool spindle error motions. This is particularly important for machining with high rotational speed. Spindle error movements are precisely defined and the method of their measurement methodology is standardized (ISO 230-7 and B89.3.4). Also devices for measuring the error movements are generally known. The main problem is the development of algorithms to ensure the proper measurement, interpretation accordingly to the standards, especially considering so called sensitive and non-sensitive directions. This paper presents an approach and algorithms of spindle errors movements measurement. The proposed methodology is more reliable than commercial solutions.
Bulletin of the Polish Academy of Sciences-Technical Sciences, 2024
The article introduces a method for selecting the best clamping conditions to obtain vibration re... more The article introduces a method for selecting the best clamping conditions to obtain vibration reduction during milling of large-size workpiece. It is based on experimental modal analysis performed for a set of assumed, fixing conditions of a considered workpiece to identify Frequency Response Functions (FRFs) for each tightening torque of the mounting screws. Simulated plots of periodically changing nominal cutting forces are then calculated. Subsequently, by multiplying FRF and spectra of cutting forces, a Clamping Selection Function (CSF) is determined and, thanks to this function, vibration Root Mean Square (RMS) is calculated resulting in Clamping Selection Indicator (CSI) that indicates the best clamping of the workpiece. The method's effectiveness was evidenced by assessing the RMS value of the vibration level observed in time domain during the real-time face milling process of an large-sized exemplary item. The proposed approach may be useful for seeking the best conditions for fixing the workpiece on the table.
The research work carried out in this paper presents a novel intelligent tool condition monitorin... more The research work carried out in this paper presents a novel intelligent tool condition monitoring solution for the turning process using an enhanced adaptive neural fuzzy inference system based on extended subtractive clustering. The hybrid system is constructed from training a takagi-sugeno-kang fuzzy logic system by integrating machining parameters- feed, cutting force, feed force and cutting tool wear dataset using the extended subtractive clustering. The parametric search for clustering parameters in extended subtractive clustering ensures the high precision of the fuzzy system identification. Further on, neural network automatically acquires the knowledge by the back propagation algorithm and trains the connectionist structure to refine the fuzzy logic rules and find optimal input/output membership functions for the enhanced adaptive neural fuzzy tool condition monitoring. The experimental results show its effectiveness and competitiveness in comparison with five other artificial intelligence methods applied on the same data sets.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Aug 6, 2016
Dynamic compliance of machine tool spindle is a necessary input for stability limit prediction. I... more Dynamic compliance of machine tool spindle is a necessary input for stability limit prediction. It can be determined by a single input–single output modal analysis, so called tap test. Despite methodology of modal analysis is well known for many years and there are several commercially available software packages supporting it, executing the experiments and evaluation of the results require both knowledge and skill. Therefore, there is a need for automation of all stages of data acquisition and signal processing to make this method applied in industry. This article presents the methodology, algorithms and software which execute all operations and analysis automatically; thus, they can be done directly on the factory floor without the involvement of highly qualified personnel. It enables completing of the tap test and obtaining proper results by an operator who do not have any knowledge on modal analysis. This article presents examples of the software application in factory floor conditions.
Journal of Machine Engineering, Vol. 15, No.1, 2015
Machining accuracy depends not only on geometric precision, but also on machine tool spindle erro... more Machining accuracy depends not only on geometric precision, but also on machine tool spindle error motions. This is particularly important for machining with high rotational speed. Spindle error movements are precisely defined and the method of their measurement methodology is standardized (ISO 230-7 and B89.3.4). Also devices for measuring the error movements are generally known. The main problem is the development of algorithms to ensure the proper measurement, interpretation accordingly to the standards, especially considering so called sensitive and non-sensitive directions. This paper presents an approach and algorithms of spindle errors movements measurement. The proposed methodology is more reliable than commercial solutions.
Bulletin of the Polish Academy of Sciences-Technical Sciences, 2024
The article introduces a method for selecting the best clamping conditions to obtain vibration re... more The article introduces a method for selecting the best clamping conditions to obtain vibration reduction during milling of large-size workpiece. It is based on experimental modal analysis performed for a set of assumed, fixing conditions of a considered workpiece to identify Frequency Response Functions (FRFs) for each tightening torque of the mounting screws. Simulated plots of periodically changing nominal cutting forces are then calculated. Subsequently, by multiplying FRF and spectra of cutting forces, a Clamping Selection Function (CSF) is determined and, thanks to this function, vibration Root Mean Square (RMS) is calculated resulting in Clamping Selection Indicator (CSI) that indicates the best clamping of the workpiece. The method's effectiveness was evidenced by assessing the RMS value of the vibration level observed in time domain during the real-time face milling process of an large-sized exemplary item. The proposed approach may be useful for seeking the best conditions for fixing the workpiece on the table.
The research work carried out in this paper presents a novel intelligent tool condition monitorin... more The research work carried out in this paper presents a novel intelligent tool condition monitoring solution for the turning process using an enhanced adaptive neural fuzzy inference system based on extended subtractive clustering. The hybrid system is constructed from training a takagi-sugeno-kang fuzzy logic system by integrating machining parameters- feed, cutting force, feed force and cutting tool wear dataset using the extended subtractive clustering. The parametric search for clustering parameters in extended subtractive clustering ensures the high precision of the fuzzy system identification. Further on, neural network automatically acquires the knowledge by the back propagation algorithm and trains the connectionist structure to refine the fuzzy logic rules and find optimal input/output membership functions for the enhanced adaptive neural fuzzy tool condition monitoring. The experimental results show its effectiveness and competitiveness in comparison with five other artificial intelligence methods applied on the same data sets.
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Aug 6, 2016
Dynamic compliance of machine tool spindle is a necessary input for stability limit prediction. I... more Dynamic compliance of machine tool spindle is a necessary input for stability limit prediction. It can be determined by a single input–single output modal analysis, so called tap test. Despite methodology of modal analysis is well known for many years and there are several commercially available software packages supporting it, executing the experiments and evaluation of the results require both knowledge and skill. Therefore, there is a need for automation of all stages of data acquisition and signal processing to make this method applied in industry. This article presents the methodology, algorithms and software which execute all operations and analysis automatically; thus, they can be done directly on the factory floor without the involvement of highly qualified personnel. It enables completing of the tap test and obtaining proper results by an operator who do not have any knowledge on modal analysis. This article presents examples of the software application in factory floor conditions.
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