Basic Concepts and Theory

Cheng, Kai; Huo, Dehong

doi:10.1007/978-1-84628-368-0_2

Cited by 7 publications

(7 citation statements)

References 15 publications

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“…In this study, deformations of these elements are not included. This is because the calculated stiffness coefficient [11] of these elements is much greater than typical stiffness value of machine tools [2]. Thus, the stiffness of the system should not influence the stiffness measurements of a machine tool.…”

Section: Measurement Model and Data Analysismentioning

confidence: 99%

“…In many cases, it can be considered that static stiffness is an important factor of a machining system that affects properties such as performance, geometric accuracy of workpieces and dynamic stability. Due to the above, the issue of determining the static stiffness of machining systems is considered important and worth developing [2]. The present paper aims at the static stiffness aspects.…”

Section: Introductionmentioning

confidence: 99%

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Measurement and identification of translational static stiffness in workspace of a machine tool

Jastrzębska

Parus

Jastrzębski

et al. 2023

Int J Adv Manuf Technol

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This work presents a measurement for the identification of translational quasi-static stiffness of machine tool using Stiffness Workspace System (SWS). The novelty of this work is a significant modification of the SWS. The changes in measurement procedure and data analysis as well as new technical solutions are described in detail. A methodology for generalised translational static stiffness determination is presented. The major purpose of this paper is to provide the information about quasi-static stiffness values that characterise a typical machine tool. The measurement procedure is implemented in a case study on a 5-axis machining centre. Measurement results were used to determine the generalised translational stiffness indicators of points in the workspace. Then, the static stiffness distribution on the XY plane over machining space was estimated. The obtained results confirm the importance of analyses of static stiffness distribution as they point out areas where some possible changes occur. In the conclusion of the paper the utility value of the information of translational static stiffness is emphasised.

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Section: Measurement Model and Data Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Measurement and identification of translational static stiffness in workspace of a machine tool

Jastrzębska

Parus

Jastrzębski

et al. 2023

Int J Adv Manuf Technol

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“…It is concluded that the dominant vibration frequency as well as the energy distribution shifted with the transition of machining status during machining of Tube A, leaving distinct chatter marks on the machined surface. The physical mechanism behind these phenomena could be that the moving contact point between the cutting tool and the workpiece in operation leads to time-varying and position-dependent dynamics of the machining system, which critically determines the chatter stability of machining processes [24][25][26].…”

Section: B Chatter Feature Extractionmentioning

confidence: 99%

Experimental Study on Entropy Features in Machining Vibrations of A Thin-walled Tubular Workpiece

Wang

Chen

et al. 2023

JDMD

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In machining processes, chatter vibrations are always regarded as one of the major limitations for production quality and efficiency. Accurate and timely monitoring of chatter is helpful to maintain stable machining operations. At present, most chatter monitoring methods are based on the energy level at specified chatter frequencies or frequency bands. However, the spectral features of chatter could change during machining operations due to complexity and time-varying dynamics of the physical machining process. The purpose of this paper is to investigate the time-varying chatter features in turning of thin-walled tubular workpieces from the perspective of entropy. The airborne acoustics was selected as the source of information for machining condition monitoring. First, corresponding to the distinguishing surface topographies relevant to machining conditions, the features of the sound signal emitted during turning of the thin-walled cylindrical workpieces were extracted using the spectral analysis and wavelet packet transform, respectively. It was shown that the dominant vibration frequency as well as the energy distribution could shift with the transition of the machining status. After that, two relative entropy indicators based on the spectrum and the wavelet packet energy were constructed to identify chattering events in turning of the thin-walled tubes. The experimental results demonstrate that the proposed indicators could accurately reflect the transition of machining conditions with high sensitivity and robustness in comparison with the traditional FFT-based methods. The achievement of this study lays the foundations of the online chatter monitoring and control technique for turning of the thin-walled tubular workpieces.

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“…The variations of the cutting forces are most likely related to the tool wear or other process conditions and therefore will have direct influences on the machining outcomes [7][8][9]. Tool wear or tool breakage can also increase the cutting forces and vibrations in the machining system, which will result in poor surface roughness, loss of the form and dimensional accuracy, and even chatter marks on machined surfaces [10]. In order to avoid such manufacturing defects or tool damages, some devices are designed and developed to measure the cutting forces and cutting dynamics.…”

Section: Introductionmentioning

confidence: 99%

Smart Cutting Tools and Smart Machining: Development Approaches, and Their Implementation and Application Perspectives

Cheng

Niu

Wang

et al. 2017

Chin. J. Mech. Eng.

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Smart machining has tremendous potential and is becoming one of new generation high value precision manufacturing technologies in line with the advance of Industry 4.0 concepts. This paper presents some innovative design concepts and, in particular, the development of four types of smart cutting tools, including a force-based smart cutting tool, a temperature-based internally-cooled cutting tool, a fast tool servo (FTS) and smart collets for ultraprecision and micro manufacturing purposes. Implementation and application perspectives of these smart cutting tools are explored and discussed particularly for smart machining against a number of industrial application requirements. They are contamination-free machining, machining of tool-wear-prone Si-based infra-red devices and medical applications, high speed micro milling and micro drilling, etc. Furthermore, implementation techniques are presented focusing on: (a) plug-and-produce design principle and the associated smart control algorithms, (b) piezoelectric film and surface acoustic wave transducers to measure cutting forces in process, (c) critical cutting temperature control in real-time machining, (d) inprocess calibration through machining trials, (e) FE-based design and analysis of smart cutting tools, and (f) application exemplars on adaptive smart machining.

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Basic Concepts and Theory

Cited by 7 publications

References 15 publications

Measurement and identification of translational static stiffness in workspace of a machine tool

Measurement and identification of translational static stiffness in workspace of a machine tool

Experimental Study on Entropy Features in Machining Vibrations of A Thin-walled Tubular Workpiece

Smart Cutting Tools and Smart Machining: Development Approaches, and Their Implementation and Application Perspectives

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