Surface texture assessment of ultra-precision machined parts based on laser speckle pattern analysis

Shimizu, Motochika; Sawano, Hiroshi; Yoshioka, Hayato; Shinno, Hidenori

doi:10.1016/j.precisioneng.2013.06.005

Cited by 19 publications

(6 citation statements)

References 8 publications

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“…As new materials and technologies such as nanotechnology emerge, there is anticipated to be a surge in demand for methods such as laser profilometry. With their inherent advantages, spatial evaluation of surface structures is viewed as a promising metrological method for the future [29].…”

Section: Laser Profilometry (Lpm)mentioning

confidence: 99%

The Influence of the Wavelength of Laser Light on the Non-Contact Measurement of the Roughness of Shiny Cut Surfaces on Stainless Steel A304 Material

Ružbarský

2024

Applied Sciences

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The article is focused on the study of the effect of laser light with three wavelengths used in a laser profilometer for the measurement of selected roughness parameters of the shiny surface of stainless steel A304 material. The measured results were compared with the results we achieved with the reference contact roughness meter (SJ-400). The findings presented are relevant to the parameters of the experiment outlined within the article. In general, the obtained results make it possible to state that when measuring the roughness of shiny cut surfaces using non-contact laser profilometry, reflections of laser light occur. The relatively best results of measuring the parameters of the roughness of a shiny cut surface on the evaluated material (A304) were achieved by laser light with a wavelength of λ = 445 nm. In contrast, as the surface roughness of the cutting surface of the used material increased, the reflection of laser light decreased. Furthermore, we can state that the values of the roughness parameters Ra and Rz of the shiny surface measured by laser profilometry were several times higher than the values measured by the reference method. In contrast, the non-contact method of laser profilometry is not suitable for accurate measurements of the roughness parameters of shiny surfaces.

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Section: Laser Profilometry (Lpm)mentioning

confidence: 99%

The Influence of the Wavelength of Laser Light on the Non-Contact Measurement of the Roughness of Shiny Cut Surfaces on Stainless Steel A304 Material

Ružbarský

2024

Applied Sciences

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“…Many studies were done to improve the implant surface which is economical and more e cient using EDM process [34][35][36]. Other methods used for surface modi cation on the biomaterial were explored using plasma-immersion ion and nonthermal electron beam evaporation processing [37,38]. In this work, the low current rates (0.5 A-3.0 A) were examined for machining pit of biomaterial using EDM DS between two biomaterials.…”

Section: Tribology For Concave Surfacementioning

confidence: 99%

Surface modification of biomaterial embedded with pits using die sinker machine

Razak

Syahrullail²,

Nuraliza

et al. 2017

Scientia Iranica

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Abstract. Surface modi cation has been applied in many ways to enhance exclusive implant product. Electrical Discharge Machine Die Sinker (EDM DS) is a new approach to machine a macro surface on the biomaterial. In this study, investigations of current properties of EDM DS to obtain a new surface in titanium alloy (Ti-6Al-4V) and stainless steel (E-316-L), which placed pit on the material-sized (25 mm) diameter sample with a radius of 6.3 mm, were conducted. All the samples of concave textured circular pits with a xed diameter and depth of 0.5 mm were successfully machined. This study revealed that the pits were produced in the concave cup and the lubricant was con ned inside the pits, making easier contact between metal ball and metal concave surface. The results also show that the discharge machine is an attractive machining method for surface modi cation of biomaterial. This paper suggests that concave implant surface embedded with pits will work as a trap for lubricant and wear debris; in addition, it is possible to increase the lifespan of implant structure.

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“…But with the development of science and technology, the researchers found that only a single roughness parameter characterizing topography can't contain all the surface information. Therefore, roughness parameters based on the characteristics of surface peaks and valleys and Abbott curve: Rp (maximum profile peak height), Rv (maximum profile valley depth), Rmr(relative material ratio) were used to distinguish surface extremum characteristic and bearing performance [8][9][10]. In view of the convenience about roughness parameters, researchers from all over the world defined a series of different roughness parameters according to the actual needs, but ignored the rigor of parameter definition, resulting in the continuous increase of parameters and 'parameter explosion' phenomenon [11].…”

Section: Introductionmentioning

confidence: 99%

Correlation analysis of roughness surface height distribution parameters and maximum mises stress

Yang¹,

Wang²,

Tang³

et al. 2022

Surf. Topogr.: Metrol. Prop.

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Roughness surfaces contact analysis is cutting-edge research in interface design. The 3D rough surface amplitude distribution characterized by height distribution parameters(Sq (root mean square), Ssk (skewness), Sku (kurtosis)) has a great influence on the extreme value and distribution of the interface contact stress. However, the relationship between height distribution parameters and surface maximum mises stress (σmax) is still unclear and lacks of in-depth study. Through BP neural network, global sensitivity qualitative (Morris) and quantitative (Sobol) analysis methods, the relationship between Sq, Ssk, Sku and σmaxunder different loads is studied. Based on complete polynomial and permutation combination method, the optimal correlation model between height distribution parameters and σmax was established, and particle swarm algorithm was introduced to analyze σmax extreme values under different Sq. The results show that: (1) Under different loads, the order about height distribution parameters influence on surface contact stress is: Sq> Ssk > Sku, and as the load increases, the influence of Ssk and Sku gradually decreases. (2) In different roughness surfaces, the influence of Ssk and Sku on the contact performance is significantly full of discrepancy. The research results provide reference and technical support for active design of rough surface microstructure to improved contact performance.

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Surface texture assessment of ultra-precision machined parts based on laser speckle pattern analysis

Cited by 19 publications

References 8 publications

The Influence of the Wavelength of Laser Light on the Non-Contact Measurement of the Roughness of Shiny Cut Surfaces on Stainless Steel A304 Material

The Influence of the Wavelength of Laser Light on the Non-Contact Measurement of the Roughness of Shiny Cut Surfaces on Stainless Steel A304 Material

Surface modification of biomaterial embedded with pits using die sinker machine

Correlation analysis of roughness surface height distribution parameters and maximum mises stress

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