Assessment of cutting performance and surface quality on turning pure polytetrafluoroethylene

Cui, Zhi; Ni, Jing; He, Lihua; Su, Rui; Wu, Chi; Xue, Fu‐Shan; Sun, Jingbo

doi:10.1016/j.jmrt.2022.08.075

Cited by 8 publications

(2 citation statements)

References 25 publications

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“…The cutting speed and depth of the cut regulate the magnitude of the cutting force. These forces cause cutting vibrations, which affect the texture and quality of the workpiece surface [29][30] Simultaneously, it has been noted that under constant cutting parameters, variations in cutting temperature can significantly affect the cutting forces, leading to variations in the subsurface damage [31]. Therefore, this study developed an orthogonal experiment encompassing different cutting parameters.…”

Section: Analysis Of Cutting Forces and Temperaturesmentioning

confidence: 99%

Extraction and Analysis of Surface Quality Characteristics of Turning Workpieces Based on Finite Element Methods

Chen,

Li,

Zou

et al. 2024

Preprint

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Selecting appropriate cutting parameters can enhance surface quality and extend component lifespan. In addressing challenges such as prolonged duration and low efficiency in multi-parameter turning experiments, constructing precise finite element models is the primary task. Subsequently, to obtain comprehensive distributions of the cutting force and temperature under various cutting parameters, an orthogonal turning experiment was designed, and numerical simulations were conducted. To acquire the surface roughness information of the machined surface, image processing techniques were introduced, encompassing surface mesh calibration, workpiece edge extraction, and edge fitting, with the aim of calculating surface roughness values based on the results of finite element simulation. An in-depth exploration of the interrelationships between the cutting parameters and cutting force, turning temperature, and surface roughness was conducted through range analysis and multiple-factor linear regression analysis. Consequently, a multivariate regression model was developed to address this relationship. Finally, the practical feasibility of the proposed method was verified through turning experiments. This study establishes a foundation for constructing linear regression models between workpiece surface quality and cutting parameters, and demonstrates the innovative application of image processing techniques to overcome the difficulties in obtaining and measuring workpiece surface quality.

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Section: Analysis Of Cutting Forces and Temperaturesmentioning

confidence: 99%

Extraction and Analysis of Surface Quality Characteristics of Turning Workpieces Based on Finite Element Methods

Chen,

Li,

Zou

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…Accordingly, a distinction is made between fine machining processes, such as grinding or scraping, again focusing on the creation of appropriate models of the output characteristics of the process, in this case, surface roughness. These models can be mathematical, i.e., based on artificial intelligence [30,31]. In addition to these precise technologies of cutting processing, some processing where such low roughness is not achieved finds its share of attention.…”

Section: Of 12mentioning

confidence: 99%

Effective Detection of the Machinability of Stainless Steel from the Aspect of the Roughness of the Machined Surface

et al. 2023

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Reliable measurement of surface roughness (Ra) is extremely important for quality control of production processes. The cost of the equipment and the duration of the measurement process are very high. The aim of this work is to develop a device for non-destructive measurement of specific roughness levels on stainless steel using computer vision. The device should be structurally simple, affordable, accurate, and safe for practical use. The purpose of the device is to effectively detect the level of roughness of the treated surface obtained by the water jet cutting process. On the basis of the obtained results, it is possible to adjust the parameters during the cutting process. The principle of operation of the device is based on measuring the intensity of the visible spectrum of the light reflected from the surface of the sample to be measured and correlating these values with the values of the measured roughness. After testing several variants of the device, the so-called vertical measurement variant was developed using the following equipment: violet light LED, optical filter and light splitter, USB 2.0 web camera, Arduino microcontroller, personal computer, and LabView programming interface.

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Multi-objective analysis and optimization of energy aspects during dry and MQL turning of unreinforced polypropylene (PP): an approach based on ANOVA, ANN, MOWCA, and MOALO

Hamdi,

Yapan,

Uysal

et al. 2023

Int J Adv Manuf Technol

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Assessment of cutting performance and surface quality on turning pure polytetrafluoroethylene

Cited by 8 publications

References 25 publications

Extraction and Analysis of Surface Quality Characteristics of Turning Workpieces Based on Finite Element Methods

Extraction and Analysis of Surface Quality Characteristics of Turning Workpieces Based on Finite Element Methods

Effective Detection of the Machinability of Stainless Steel from the Aspect of the Roughness of the Machined Surface

Multi-objective analysis and optimization of energy aspects during dry and MQL turning of unreinforced polypropylene (PP): an approach based on ANOVA, ANN, MOWCA, and MOALO

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