Evaluation of surface roughness based on sampling array for rotary ultrasonic machining of carbon fiber reinforced polymer composites. (May 2019)

• Record Type: Journal Article
• Authors: Shi, Haiyan; Yuan, Songmei; Li, Zhen; Song, Heng; Qian, Jianqiang
• Is Part Of: Measurement. Volume 138(2019)
• Page Start: 175
• Page End: 181
• Publication Date: 2019-05
• Subjects: 3D surface topography -- Surface roughness -- Sampling array -- Spatial distribution -- Fracture mechanism -- CFRP composites; Weights and measures -- Periodicals; Measurement -- Periodicals; Measurement; Weights and measures; Periodicals; 530.8
• DOI: 10.1016/j.measurement.2019.02.002
• Languages: English
• ISSNs: 0263-2241

Abstract

Highlights: Novel evaluation method of surface roughness based on sampling array. Mean value and standard deviation of Sa on base of Gaussian fitting are applied. The spatial distribution of Sa across the machined surface is presented. Fracture mechanism of reinforcement fibers mainly depends upon cutting angle. Abstract: This paper focuses on the evaluation of surface roughness of carbon fiber reinforced polymer (CFRP) composites after rotary ultrasonic machining. The carried out research involved a novel evaluation method based on sampling array, in which N × N samples are averagely distributed over machined surface. Surface topography of each sample was measured by a white light interferometer and quantitatively characterized by arithmetical mean height ( Sa ). Frequency histogram of Sa in sampling array was fitted with Gaussian function. The mean value and standard deviation of Gaussian function were applied to evaluate surface quality of machined surface. The conducted research shows that the critical sampling number is 13 × 13 and the relative error has found to be less than 1%. Moreover, the spatial distribution of Sa across the surface has been analyzed innovatively and found that small value of Sa takes a large proportion while large one presents strip spatial distribution along feed direction. Fracture mechanism of reinforcement fibers accounts for this phenomenon. This research work provides a foundation for surface quality evaluation of composites and has applications for precision manufacturing industry.