Geometrical consideration for mechanical contact between rolling circle and surface roughness as an improvement to the surface profile

Authors

  • Tsuyoshi Shimizu Faculty of Engineering, University of Yamanashi, Yamanashi 4008511, Japan. Phone: +81552208445; Fax: +81552208445
  • Yasutake Hramiishi Faculty of Engineering, University of Yamanashi, Yamanashi 4008511, Japan. Phone: +81552208445; Fax: +81552208445
  • Takaaki Ishii Faculty of Engineering, University of Yamanashi, Yamanashi 4008511, Japan. Phone: +81552208445; Fax: +81552208445
  • Yuzairi Abdul Rahim Faculty of Mechanical Engineering Technology, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
  • Mohd Fadzil Ali Ahmad School of Engineering, Faculty of Science and Technology, Quest International University, Ipoh 30250, Malaysia
  • Hiromi Watanabe Faculty of Engineering, University of Yamanashi, Yamanashi 4008511, Japan. Phone: +81552208445; Fax: +81552208445

DOI:

https://doi.org/10.15282/jmes.15.1.2021.19.0619

Keywords:

Measurement, Surface profile, Roughness, Surface topology, Sphere tip radius, Machine measurement

Abstract

This paper describes measurement methods of surface profiles that improve contact-type displacement sensor outputs by focusing on the contact point between the sphere tip of the sensor and the rough surface. We examined the geometry of a surface profile model and compared measurements using various methods with the measurement using a roughness meter. The spherical tip of the contact type displacement sensor touches the measurement surface and detects the displacement. The sphere tip radius of a typical contact-type displacement sensor ranges from 1–3 mm, causing the roughness curve to be “filtered” by the radius of the sphere.  Three methods for estimating the valley portion of the surface profile are evaluated in this study: a) linear approximation of the concave portion of the surface profile, b) function approximation of the concave portion, and c) using the known nose radius of the machining tool. The following sphere tip radii were used to measure actual surface profiles: 0.25 mm, 0.5 mm, 1.0 mm and 1.5 mm. Given the conditions of the experimental model, we found that surface profiles with a roughness that approximates a predictable curve can be measured with a high degree of accuracy.

References

Geometrical Product Specifications (GPS) -Surface texture: Profile method -Terms, definitions and surface texture parameters, ISO Standard ISO4287:1997, 1997.

I. B. Corral and J. V. Calvet. , ”Roughness variability in the honing process of steel cylinders with CBN metal bonded tools,” Precision Engineering, vol. 10, no. 35, pp.289-293, 2011.

J. Heinrichs, J.Gerth, etal. , ”Influence from surface roughness on steel transfer to PVD tool coatings in continuous and intermittent sliding contacts,” Tribology International, vol. 56, pp. 9-18, 2012.

C. Fetecau and F. Stan, “Study of cutting force and surface roughness in the turning of polytetrafluoroethylene composites with a polycrystalline diamond tool,” Measurement, vol. 45, no. 6, pp. 1367-1379, 2012.

H. Wang, S. To, C. Y. Chan, “Investigation on the influence of tool-tip vibration on surface roughness and its representative measurement in ultra-precision diamond turning,” Int. J. Machine Tools & Manufacture, vol. 69, pp. 20-29, 2013.

M. Slamani, S. Gauthier and J. F. Chatelain, “Comparison of surface roughness quality obtained by highspeed CNC trimming and high speed robotic trimming for CFRP laminate,” Robotics and Computer-Integrated Manufacturing, vol. 42, pp. 63-72, 2016.

A. E. Correia, J. P. Davim, “Surface roughness measurement in turning carbon steel AISI 1045 using wiper inserts,” Measurement, vol. 44, no. 5, pp.1000-1005, 2011.

R. Kurniawana, G. Kiswantob and T. J. Koa, “Surface roughness of two-frequency elliptical vibration texturing (TFEVT) method for micro-dimple pattern process,” Int. J. Machine Tools & Manufacture, vol. 116, pp. 77-95, 2017.

Y. Quinsat and C. Tournier, “Insitu non-contact measurements of surface roughness,” Precision Engineering, vol. 36, no. 1, pp. 97-103, 2012.

Z. Gao and X. Zhao, “Roughness measurement of moving weak-scattering surface by dynamic speckle image,” Optics and Lasers in Engineering, vol. 50, no. 5, pp.668-677, 2012.

I. Massoudi, M. M. Habchi, A.Rebey and B. E. Jani, “Study of surface roughness using spectral reflectance measurements recorded during the MOVPE of InAs/GaAs hetero structures,” Physica E: Low-dimensional Systems and Nanostructures, vol. 44, no.7, pp. 1282-1287, 2012.

P. D. Antonio, M. Lasalvia, G. Perna and V. Capozz. “Scale-independent roughness value of cell membranes studied by means of AFM technique,” Biochimica et Biophysica Acta (BBA) - Biomembranes, vol. 1818, no.12, pp. 3141-3148, 2012.

L. Tchvialeva, I. Markhvida and H. Zeng etal. , “Surface roughness measurement by speckle contrast under the illumination of light with arbitrary spectral profile,” Optics and Lasers in Engineering, vol. 48, no. 7, pp. 774-778, 2010.

H. Guo, L. Liu, X. Hao, K. Niu and X. Chou, “Profile measurement system based on linnik-type interferometric microscope for visible-light region and infrared-light region,” Optics & Laser Technology, vol. 43, no.7, pp. 1184-1189, 2011.

I. Asiltürk and M. Ҫunkaş, “Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method,” Expert Systems with Applications, vol. 38, no.5, pp.5826-5832, 2011.

F. J. Pontes, A. P. Paiva, P. P. Balestrassi, J. R. Ferreira and M. B. Silva, “Optimization of Radial Basis Function neural network employed for prediction of surface roughness in hard turning process using Taguchi’s orthogonal arrays,” Expert Systems with Applications, vol. 39, no. 9, pp. 7776-7787, 2012.

T. Ghosh and S. Chattopadhyay, “A Monte Carlo simulation to study the effect of surface roughness on the performance of RPC,” Nuclear Instruments and Methods in Physics Research, vol. 661, pp. S177- S181, 2012.

M. Tomov, M. Kuzinovski and P. Cichosz, “Modeling and prediction of surface roughness profile in longitudinal turning,” Journal of Manufacturing Processes, vol. 24, pp.231-255, 2016.

H.H. Shahabia and M.M. Ratnam, “Simulation and measurement of surface roughness via grey scale image of tool in finish turning,” Precision Engineering, vol. 43, January, pp. 146-153, 2016.

Z. Nan-nan and Z. Jun, “ Surface roughness measurement based on fiber optic sensor,” Measurement, vol.86, May, pp. 239-245, 2016.

Downloads

Published

2021-03-15

How to Cite

[1]
T. Shimizu, Y. Hramiishi, T. Ishii, Y. A. Rahim, M. F. A. Ahmad, and H. Watanabe, “Geometrical consideration for mechanical contact between rolling circle and surface roughness as an improvement to the surface profile”, J. Mech. Eng. Sci., vol. 15, no. 1, pp. 7846–7859, Mar. 2021.

Similar Articles

<< < 12 13 14 15 16 17 18 19 20 21 > >> 

You may also start an advanced similarity search for this article.