Open Access
Mechanics & Industry
Volume 20, Number 3, 2019
Article Number 301
Number of page(s) 8
Published online 29 May 2019
  1. Y. Lin, Y. Shen, A. Liu, Y. Zhu, S. Liu, H. Jiang, Bio-inspiredly fabricating the hierarchical 3D porous structure superhydrophobic surfaces for corrosion prevention, Mater. Des. 103 (2016) 300–307 [Google Scholar]
  2. D. Najjar, M. Bigerelle, A. Iost, The computer based Bootstrap method as a tool to select a relevant surface roughness parameter, Wear 254 (2003) 450–460 [Google Scholar]
  3. M. Bigerelle, D. Najjar, A. Iost, Multi-scale functional analyses of wear: A fractal model of the grinding process, Wear 258 (2005) 232 –239 [Google Scholar]
  4. S. Le Cann, A. Galland, B. Rosa, T. Le Corroller, M. Pithioux, J.N. Argenson, P. Chabrand, S. Paratte, Does surface roughness influence the primary stability of acetabular cups? A numerical and experimental biomechanical evaluation, Med. Eng. Phys. 36 (2014) 1185–1190 [CrossRef] [PubMed] [Google Scholar]
  5. B. Rosa, J.Y. Hascoet, P. Mognol, Topography modeling of laser polishing on 316 L milled surfaces, Mech. Ind. 15 (2014) 51–61 [CrossRef] [Google Scholar]
  6. A. Brient, M. Brissot, J.-C. Sangleboeuf, Service life of glass workpieces: Influence of the grinding parameters on the surface roughness and the fracture strength, Int. J. Mach. Mach. Mater. 15 (2014) 54–70 [Google Scholar]
  7. A. Brient, R. Laniel, M. Miroir, G. Le Goic, J.-C. Sangleboeuf, S. Samper, Multiscale topography analysis of waterjet pocketing of silica glass surfaces, Met & Props, UNC Charlotte, USA 2–5 march 2015 [Google Scholar]
  8. X. Jane Jiang, D.J. Whitehouse, Technological shifts in surface metrology, CIRP Ann. Manuf. Technol. 61 (2012) 815–836 [Google Scholar]
  9. S.H. Bui, B. Muralikrishnan, J. Raja, A framework for Internet-based surface texture analysis and information system, Precis. Eng. 29 (2005) 298–306 [Google Scholar]
  10. E. Ukar, A. Lamikiz, S. Martinez, I. Tabernero, L.N. Lopez De Lacalle, Roughness prediction on laser polished surfaces, J. Mater. Process. Technol. 212 (2012) 1305–1313 [CrossRef] [Google Scholar]
  11. S.D. Philip, P. Chandramohan, P.K. Rajesh, Prediction of surface roughness in end milling operation of duplex stainless steel using response surface methodology, J. Eng. Sci. Technol. 10 (2015) 340–352 [Google Scholar]
  12. Y. Quinsat, S. Lavernhe, C. Lartigue, Characterization of 3D surface topography in 5-axis milling, Wear 271 (2011) 590–595 [Google Scholar]
  13. N.E. Karkalos, N.I. Galanis, A.P. Markopoulos, Surface roughness prediction for the milling of Ti-6Al-4V ELI alloy with the use of statistical and soft computing techniques, Measurement 90 (2016) 25–35 [CrossRef] [Google Scholar]
  14. A. Garg, K. Tai, Comparison of regression analysis, artificial neural network and genetic programming in handling the multicollinearity problem, Proceedings of 2012 International Conference on Modelling, Identification and Control, Wuhan, China, June 24–26, 2012 [Google Scholar]
  15. G. Le Goic, M. Bigerelle, S. Samper, H. Favreliere, M. Pillet, Multiscale roughness analysis of engineering surfaces: A comparison of methods for the investigation of functional correlations, Mech. Syst. Signal Process. 66–67 (2016) 437–457 [Google Scholar]
  16. V. Belaud, S. Valette, G. Stremsdoerfer, M. Bigerelle, S. Benayoun, Wettability versus roughness: Multi-scales approach, Tribol. Int. 82 (2015) 343–349 [Google Scholar]
  17. R. Deltombe, K.J. Kubiac, M. Bigerelle, How to select the most relevant 3D roughness parameters of a surface, Scanning J. 36 (2014) 150–160 [CrossRef] [Google Scholar]
  18. J. Marteau, M. Bigerelle, P.-E. Mazeran, S. Bouvier, Relation between roughness and processing conditions of AISI 316 L stainless steel treated by ultrasonic shot peening, Tribol. Int. 82 (2015) 319–329 [Google Scholar]
  19. J. Marteau, M. Bigerelle, Relation between surface hardening and roughness induced by ultrasonic shot peening, Tribol. Int. 83 (2015) 105–113 [Google Scholar]
  20. Standard ISO 25178-2, Surface texture: Areal. Parts 2: Terms, definitions and surface texture parameters, 2012 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.