Research on Cutting-Temperature Field and Distribution of Heat Rates Among a Workpiece, Cutter, and Chip for High-Speed Cutting Based on Analytical and Numerical Methods

An, Hu; Rui, Zhi Yuan; Wang, R. F.; Zhang, Z. M.

doi:10.1007/s11223-014-9549-3

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…It has brought a profound technological revolution to machinery manufacturing and will continue to have a significant and far-reaching impact [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 ]. High-speed machining technology, which is a product of this new technology, is widely used in some critical sectors, such as the automobile manufacturing industry, the aerospace industry, and the engineering equipment field [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Research Progress of Noise in High-Speed Cutting Machining

Wei

Shang

Peng

et al. 2022

Sensors

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High-speed cutting technology has become a development trend in the material processing industry. However, high-intensity noise generated during high-speed cutting exerts a potential effect on the processing efficiency, processing accuracy, and product quality of the workpiece; it may even cause hidden safety hazards. To conduct an in-depth study of noise in high-speed cutting machining, this work reviews noise sources, noise collection and numerical recognition, noise control, and condition monitoring based on acoustic signals. First, this article introduces noise sources, noise signal acquisition equipment, and analysis software. It is pointed out that how to accurately classify and recognize the target signal in the complex high-speed machining environment is one of the focuses of scholars’ research. Then, it points out that a computer achieves high accuracy and practicability in signal analysis, processing, and result display. Second, in the aspect of noise signal processing, the characteristics of noise signals are analyzed. It is pointed out that accurately analyzing the characteristics of different noise source signals and adopting appropriate methods for identification and processing are the necessary conditions for effectively controlling and reducing the noise in the process of high-speed cutting. The advantages and applicable fields of artificial intelligence algorithms in processing mixed noise source signals with different frequency characteristics are compared, providing ideas for studying the mechanism of noise generation and the identification of noise sources. Third, in terms of noise control, a detailed overview is provided from the aspects of the treatment of the noise source that contributes the most to the overall noise, the improvement of the tool structure, the optimization of cutting parameters, and the analysis of contact factors between the tool and the workpiece. It provides an effective way for noise control in the process of high-speed cutting. In addition, the application of acoustic signals to condition monitoring is also thoroughly analyzed. The practical application value of condition monitoring based on acoustic signals in high-speed machining is highlighted. Finally, this paper summarizes the positive significance of noise research in high-speed machining and identifies key problems and possible research methods that require further study in the future.

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Section: Introductionmentioning

confidence: 99%

Research Progress of Noise in High-Speed Cutting Machining

Wei

Shang

Peng

et al. 2022

Sensors

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“…In machining it, the cutting speed and accuracy and the processing efficiency are all low besides chip is hard to break and the tool wear is serious. The merit of high-sped cutting can provide a new approach for solving above problem [2][3][4][5][6][7][8][9]. .Therefore, in this paper the deformation mechanism and surface finish and wearing character of cermet cutter cuting high manganese steel are studied, and the models of surface quality to optimize cutting parameters are offered by means of test data and linear regression method, which can be used to forecast suface quality machined for given cutting parameters or to decide cutting parameters for the required quality.…”

Section: Introductionmentioning

confidence: 99%

Characters of Deformation and Surface Quality and Cutter Wearing at High-Speed Cutting

Rui

Iyer

2020

MSF

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In this paper, the impact of cutting speed and feed amount on cutting deformation and surface quality and cutter wear have been studied by the test of high manganese steel cutting with metal ceramic tool at high speed. The results show that it is feasible by cutting high manganese steel with cermet tool at high-speed cutting (HSC). Chip changes into succession segment from band in macrostate. Sawteeth can be seen on the top surface of chip while high temperature feature in burning color and cold welding form appear on the bottom of the chip. The model of surface roughness built can be used to predict surface quality at HSC, and provided cutting optimized parameters scheme. Further research indicates that high-speed cutting has its special deformation mechanism and plastic chips exhibit hot brittleness which provides a favorable condition for solving the chip breaking problem in the cutting of high manganese steel.

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“…However, no comprehensive mechanism of high-speed cutting behavior has as yet been comprehended completely. Models of thermal sources and fields of cutting temperature have been proposed for the analysis of thermal equilibrium between heat generation and energy consumption at high-speed dry cutting (An et al, 2014). In the article by Denkena et al (2010), it was shown that the temperature in the shear zone decreases with a decrease in the chip thickness.…”

Section: Introductionmentioning

confidence: 99%

Temperature detection in cutting zone for different forms of chip shapes during machining process

Aničić¹,

Jović²,

Tasic³

et al. 2018

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Purpose This study aims to detect the temperature distribution in the cutting zone during the machining process. Furthermore, temperature influence in the cutting zone on the forms of chip shapes during the turning of Steel 30CrNiMo8 was evaluated. It is very important to use optimal machining parameters to get the best production results or for high control of the machining process. Design/methodology/approach Temperature distribution in the cutting zone during the machining process could affect the forms of chip shapes. Forms of chip shapes could be considered as the most important indicator for the quality of the machining process. Findings Therefore, in this study, the forms of chip shapes based on the temperature distribution in the cutting zone were examined. Originality/value It was found that the snarled chip type and the loose chip type have the highest temperature variation during the machining process.

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Research on Cutting-Temperature Field and Distribution of Heat Rates Among a Workpiece, Cutter, and Chip for High-Speed Cutting Based on Analytical and Numerical Methods

Cited by 8 publications

References 5 publications

Research Progress of Noise in High-Speed Cutting Machining

Research Progress of Noise in High-Speed Cutting Machining

Characters of Deformation and Surface Quality and Cutter Wearing at High-Speed Cutting

Temperature detection in cutting zone for different forms of chip shapes during machining process

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