@article{MTMT:34620324,
	title = {Monitoring method of cutting forces and vibrations by using frequency separation of acceleration sensor signals during milling process with small ball end mills},
	url = {https://m2.mtmt.hu/api/publication/34620324},
	author = {Kouguchi, Junichi and Yoshioka, Hayato},
	doi = {10.1016/j.precisioneng.2023.10.013},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {85},
	unique-id = {34620324},
	issn = {0141-6359},
	abstract = {Recently, there has been a further demand for precise monitoring of milling process with a machine tool by a simple and cost-effective method. One of the ways for monitoring is to install acceleration sensors to the tool spindle and estimate cutting forces from the model of the tool spindle structure. This method generally allows stable monitoring of cutting forces for tools with large diameters. However, in case of using tools with small diameters, it is difficult to estimate the cutting force due to higher frequency vibrations generated near the tool center point. Therefore, to solve the problem, we propose a new monitoring method by signal analysis of acceleration sensors in this research. The problem is that the acceleration sensor signals contain two types of signals, such as 'acceleration change due to mechanical displacement of a tool spindle generated by cutting load' and 'high frequency self-excited and forced vibration'. In our method, we separate these two signals by using an approximation of sequential quadratic regression. From the former, cutting forces are estimated from equation of motions which are obtained in advance from frequency responses of the tool spindle, and from the latter, intensities of vibrations due to milling are estimated. This method was tested several milling patterns such as large cutting loads, fluctuations of cutting loads, and cutting during abnormal vibrations. As a result, we have achieved in-process monitoring of milling process not only in the X and Y directions, but also in the Z direction with a small radius ball end mill.},
	keywords = {Machining; Signal analysis; VIBRATION; Cutting force; acceleration sensor; Milling process monitoring},
	year = {2024},
	eissn = {1873-2372},
	pages = {337-356},
	orcid-numbers = {Kouguchi, Junichi/0000-0002-3893-9713}
}

@article{MTMT:34618823,
	title = {Design and analysis of a 2-DOF compliant serial micropositioner based on "S-shaped" flexure hinge},
	url = {https://m2.mtmt.hu/api/publication/34618823},
	author = {Abedi, Kasra and Shakhesi, Erfan and Seraj, Hasan and Mahnama, Maryam and Shirazi, Farzad A.},
	doi = {10.1016/j.precisioneng.2023.06.012},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {83},
	unique-id = {34618823},
	issn = {0141-6359},
	abstract = {A serial 2D planar compliant mechanism has been proposed based on novel "S-shaped" flexure hinges for atomic force microscopy applications. The bridge-lever type mechanism driven by piezoelectric actuators serves as a displacement amplifier. The optimal geometrical parameters were found to maximize the workspace and natural frequency through the Monte-Carlo search algorithm. Also, the performance of the developed system was investigated by Matrix-based Compliance Modeling (MCM), Finite Element Analysis (FEA), and experiments. All models indicate that the mechanism has an approximately linear force-deflection relationship, high safety factor, and a reasonable amplification ratio of about 4.5 and 5.5 for the inner and outer stages in the analytical approach, 4.4 and 5.3 in FEA. Finally, experiments on a fabricated open-loop controlled prototype revealed 4.2 and 5.1 amplification ratio for stages that resulted in a 94 x 124 mu m rectangular workspace and a natural frequency of 224.6 Hz, which is about 5% lower than the results predicted using FEA.},
	keywords = {Piezoelectric; Compliant Mechanism; Flexure hinge; Micropositioner},
	year = {2023},
	eissn = {1873-2372},
	pages = {228-236},
	orcid-numbers = {Mahnama, Maryam/0000-0003-0220-0308}
}

@article{MTMT:34367084,
	title = {Scale effects on surface texture characterisation of ultra-precision diamond milling},
	url = {https://m2.mtmt.hu/api/publication/34367084},
	author = {Guo, Pan and Liu, Mingyu and Xiong, Zhiwen and Zhang, Shaojian},
	doi = {10.1016/j.precisioneng.2023.08.007},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {84},
	unique-id = {34367084},
	issn = {0141-6359},
	abstract = {Surfaces with nanometric texture, machined by ultra-precision diamond milling (UPDM), have wide applications for their functionalities. Surface texture characterisation is crucial for their quality evaluation and it would vary in the measurement data processing under various scales, which is termed scale effects. However, the scale effects have not been comprehensively studied. In this work, we focus on the scale effects on surface texture characterisation of UPDM. Firstly, a series of experiments were conducted at different material removal rates to produce surfaces with nanometric texture. Secondly, a discrete wavelet transform (DWT)-based method was employed for surface filtering and surface texture parameters (Sa, Sq, and Sz) were evaluated according to ISO standards. Thirdly, power spectral density (PSD) analysis and surface filtering comparison were performed to realize a scale observation. Furthermore, the effects of the filtering scale, the sampling scale, and the subarea scale on surface texture characterisation were investigated. Finally, the results showed that surface topographies were governed by various machining factors which resulted in multi-scale topographical components. The PSD analysis enabled discrimination of the multi-scale topographical components to the underlying machining factors. The DWT-based method achieved a relatively small deviation (<4%) for surface filtering as compared to the zero-order Gaussian regression filter. The filtering scale affected the filtered topographical components and it visualised and differentiated those components with the machining mechanisms. The sampling scale determined the filtered components to yield an impact on the characterisation results and Sz was more sensitive to this effect than Sa and Sq. The subarea scale influenced the probability distributions and statistical values of surface texture parameters within its contained components and it indicated that the increased material removal rate resulted in a deterioration of surface uniformity.},
	keywords = {Scale effects; Surface characterisation; discrete wavelet transform; Nanometric surface texture; Ultra-precision diamond milling},
	year = {2023},
	eissn = {1873-2372},
	pages = {148-161},
	orcid-numbers = {Guo, Pan/0000-0003-3800-2952}
}

@article{MTMT:34297930,
	title = {Proposal of novel chatter-free milling strategy utilizing extraordinarily numerous flute endmill and high-speed high-power machine tool},
	url = {https://m2.mtmt.hu/api/publication/34297930},
	author = {Eto, Jun and Hayasaka, Takehiro and Shamoto, Eiji},
	doi = {10.1016/j.precisioneng.2022.11.007},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {80},
	unique-id = {34297930},
	issn = {0141-6359},
	abstract = {This paper proposes a novel chatter-free milling strategy that utilizes the infinite stable area, i.e., area below the high-speed part of the 0-th lobe, which has not been generally utilized to date. In the conventional methodology, the stable pockets are utilized to realize a high axial depth of cut. However, these pockets tend to shift, e.g., due to long-term deterioration of the spindle, and hence they sometimes cannot be utilized effectively. The proposed strategy combines an extraordinarily numerous flute endmill, e.g., 20 flutes, and a high-performance spindle, e. g., capable of a spindle speed of 33000 min-1, installed on a high-speed high-power machine tool. By increasing the number of flutes, the stability lobes shrink in inverse proportion to that number against the spindle speed and the depth of cut, and the infinite stable area can be utilized in the practical spindle speed zone of recent machine tools. A design method is proposed for the cutting tool and the cutting conditions to utilize this area effectively. Analyses and experiments are conducted to verify the effectiveness of the proposed milling strategy. In the experiments, the material removal rate reaches 2904 cc/min at the spindle speed of 33000 min-1 and the axial depth of cut of 110 mm with no chatter vibration. The infinite stable area is capable of much higher stability and machining ability than the conventionally utilized stable pockets.},
	keywords = {CHATTER; high-speed milling; Aircraft structural parts; Numerous flute endmill; 0-th lobe; Infinite stable area},
	year = {2023},
	eissn = {1873-2372},
	pages = {95-103}
}

@article{MTMT:34275444,
	title = {A new hypothesis of steady-state flank wear progression of cutting tools with similar geometry and its verification},
	url = {https://m2.mtmt.hu/api/publication/34275444},
	author = {Kataoka, Ryosuke and Shamoto, Eiji},
	doi = {10.1016/j.precisioneng.2023.01.007},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {81},
	unique-id = {34275444},
	issn = {0141-6359},
	abstract = {A new hypothesis is proposed and verified in this study to clarify the relationship between the progression and the mechanism of the flank wear of cutting tools in the steady-state region, assuming that the flank wear part expands while maintaining a geometrically similar profile. Based on Preston's law, the proposed hypothesis analytically leads to the conclusions that in the steady-state wear region where the cutting temperature is low and the abrasive wear is dominant, the flank wear width increases linearly, and the normal stress on the flank wear part does not change. Furthermore, this hypothesis suggests that the nonlinear and faster wear progression in the initial wear region is caused by an unsteady transition in the flank wear profile. Cutting experiments were conducted using tungsten carbide tools and carbon steel workpieces. The results demonstrated that the flank wear part expands with a certain similarity profile in the steady-state wear region. The normal stress distribution on the flank wear part was estimated from the similarity profile based on the proposed hypothesis, and the result was in rough agreement with that calculated by the finite element method in the literature.},
	keywords = {Cutting tool; Flank face; Wear mechanism; Similar geometry},
	year = {2023},
	eissn = {1873-2372},
	pages = {183-191}
}

@article{MTMT:33604005,
	title = {High-accurate cutting forces estimation by machine learning with voice coil motor-driven fast tool servo for micro/nano cutting},
	url = {https://m2.mtmt.hu/api/publication/33604005},
	author = {Tao, Ye and Li, Zhongwei and Hu, Peng and Chen, Fu-Wen and Ju, Bing-Feng and Chen, Yuan-Liu},
	doi = {10.1016/j.precisioneng.2022.11.014},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {79},
	unique-id = {33604005},
	issn = {0141-6359},
	year = {2023},
	eissn = {1873-2372},
	pages = {291-299},
	orcid-numbers = {Tao, Ye/0000-0001-7680-8864; Chen, Yuan-Liu/0000-0002-1641-051X}
}

@article{MTMT:33350959,
	title = {Vibration features for indirect monitoring of end micromilling process},
	url = {https://m2.mtmt.hu/api/publication/33350959},
	author = {Brito, Lucas Costa and Gomes, Milla Caroline and de Oliveira, Deborah and da Silva, Marcio Bacci and Duarte, Marcus Antonio Viana},
	doi = {10.1016/j.precisioneng.2022.08.012},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {79},
	unique-id = {33350959},
	issn = {0141-6359},
	abstract = {Monitoring a micromachining process is essential to ensure machined surface quality. Vibration signal has been used to monitor conventional process, however, to apply this signal to monitor a micromachining process is not a simple task. One of the main difficulties is to identify which signal features is correlated to changes in the micromachining process, such as roughness. This work investigates the correlation between vibration signals for an end micromilling operation. Different features were extracted from time and frequency domain aiming to analyze their correlation to the roughness and identify those better correlated to surface roughness. Six carbide end mill tools with a diameter of 0.4 mm were tested under different parameters. Vibration signals were collected, and roughness was measured for each machined channel. Through the analysis of the vibration signals and Pearson Correlation, features that are directly correlated with the roughness were identified, with emphasis on 2 x IPF (Insert Passing Frequency). The results show that the proposed features can be used for indirect monitoring of the end micromilling process, avoiding unnecessary stops and fabrication of rejected parts.},
	keywords = {ROUGHNESS; Micromachining; TOOL WEAR; Micromilling; Indirect Monitoring; Vibration signal features},
	year = {2023},
	eissn = {1873-2372},
	pages = {7-15},
	orcid-numbers = {Gomes, Milla Caroline/0000-0003-4599-518X; de Oliveira, Deborah/0000-0002-7340-5792}
}

@article{MTMT:33322967,
	title = {Cloud-based thermal error compensation with a federated learning approach},
	url = {https://m2.mtmt.hu/api/publication/33322967},
	author = {Stoop, Fabian and Mayr, Josef and Sulz, Clemens and Kaftan, Petr and Bleicher, Friedrich and Yamazaki, Kazuo and Wegener, Konrad},
	doi = {10.1016/j.precisioneng.2022.09.013},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {79},
	unique-id = {33322967},
	issn = {0141-6359},
	abstract = {Thermal error compensation is one of the most research-oriented topics in manufacturing with rising importance in the industry. This paper presents an innovative Industry 4.0 application of thermal error compensation for precision engineering. A federated learning-based thermal error compensation approach running in the cloud is applied to two machine tools, one located at ETH Zurich, and another one at TU Wien. Although environmental conditions and thermal error behaviour of both machines differ, the implemented knowledge transfer across machines is a viable compensation strategy, albeit with limited precision. A detailed comparison of the two machines of the same type under the same load conditions shows foreseeable similarities in behaviour, but also clear differences due to the different configurations and lifetime status. The cloud-based compensation reduced the crucial thermal errors in the best case of both machine tools by more than 80% under critical conditions.},
	keywords = {Cloud computing; 0; Machine tool; Industry 4; thermal error; Adaptive machine -learning},
	year = {2023},
	eissn = {1873-2372},
	pages = {135-145},
	orcid-numbers = {Stoop, Fabian/0000-0003-1364-4764; Sulz, Clemens/0000-0002-8117-8235}
}

@article{MTMT:33230432,
	title = {Review and status of tool tip frequency response function prediction using receptance coupling},
	url = {https://m2.mtmt.hu/api/publication/33230432},
	author = {Schmitz, Tony and Betters, Emma and Budak, Erhan and Yuksel, Esra and Park, Simon and Altintas, Yusuf},
	doi = {10.1016/j.precisioneng.2022.09.008},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {79},
	unique-id = {33230432},
	issn = {0141-6359},
	abstract = {This paper provides a chronological review of publications that implement and advance the receptance coupling substructure analysis (RCSA) approach first applied to tool tip receptance (or frequency response function) prediction for milling applications in 2000. The review topics mimic the RCSA approach, where the tool, holder, and spindle-machine receptances are coupled analytically, and include: tool-holder receptance modeling; connection modeling; spindle-machine receptances; and applications. The review paper summarizes contributions from multiple, international authors (198 papers) to these topics. It also provides a comprehensive resource for those beginning an investigation into RCSA.},
	keywords = {DYNAMICS; Machining; Milling; Frequency response function; Receptance coupling},
	year = {2023},
	eissn = {1873-2372},
	pages = {60-77}
}

@article{MTMT:33481283,
	title = {The temperature-sensitive point screening for spindle thermal error modeling based on IBGOA-feature selection},
	url = {https://m2.mtmt.hu/api/publication/33481283},
	author = {Li, Guolong and Tang, Xiaodong and Li, Zheyu and Xu, Kai and Li, Chuanzhen},
	doi = {10.1016/j.precisioneng.2021.08.021},
	journal-iso = {PRECIS ENG},
	journal = {PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY},
	volume = {73},
	unique-id = {33481283},
	issn = {0141-6359},
	abstract = {Thermal error compensation is a simple and efficient method to reduce thermal errors of machine tools, and the compensation effect largely depends on the temperature-sensitive points screened for the thermal error modeling. In this paper, 5 spindle heating experiments are carried out, and a new temperature-sensitive point screening method based on the Improved Binary Grasshopper Optimization Algorithm (IBGOA) feature selection is proposed. Firstly, an optimal approximation criterion is added to the Binary Grasshopper Optimization Algorithm (BGOA) for ensuring the convergence of the algorithm. And the temperature measuring points are regarded as the feature of the thermal error. Then these feature temperature point subsets are generated by IBGOA. Next, the stepwise regression analysis is carried out to remove non-significant temperature points from these subsets. And each subset is evaluated to search the temperature-sensitive points based on the crossvalidation result of the multiple linear regression (MLR). Finally, for further testing the applicability of the proposed temperature-sensitive points screening method, 3 common thermal error models are established with MLR, support vector regression, and back propagation neural network respectively. Compared with the traditional fuzzy C-means clustering (FCM) temperature-sensitive points screening method, the RMSE of these models could decrease by 30-50% in the thermal drift error of X-direction, 10%-30% in the thermal tilt error of Y-direction, generally 40%-60% in the thermal elongation of Z-direction and the thermal drift error of Y-direction. The results show the superiority of the proposed IBGOA-feature selection method.},
	keywords = {ALGORITHM; feature selection; Stepwise regression analysis; Thermal error model; Temperature-sensitive points screening; Improved binary grasshopper optimization},
	year = {2022},
	eissn = {1873-2372},
	pages = {140-152}
}