EDP Sciences logo
Submit your paper
Search
Menu
Home All issues Volume 10 (2023) Manufacturing Rev., 10 (2023) 7 References
Open Access
Issue
Manufacturing Rev.
Volume 10, 2023
Article Number 7
Number of page(s) 16
DOI https://doi.org/10.1051/mfreview/2023006
Published online 28 April 2023
  1. A.A. Ramírez-Duque, A. Frizera-Neto, T.F. Bastos, Robot-assisted autism spectrum disorder diagnostic based on artificial reasoning, J. Intell. Robotic Syst. 96 (2019) 267–281 [CrossRef] [Google Scholar]
  2. F. Al-Mufti, V. Dodson, J. Lee, E. Wajswol, C. Gandhi, C. Scurlock, C. Cole, K. Lee, S.A. Mayer, Artificial intelligence in neurocritical care, J. Neurolog. Sci. 404 (2019) 1–4 [CrossRef] [Google Scholar]
  3. K. Jha, A. Doshi, P. Patel, M. Shah, A comprehensive review on automation in agriculture using artificial intelligence, Artific. Intell. Agric. 2 (2019) 1–12 [Google Scholar]
  4. M. Soori, B. Arezoo, R. Dastres, Machine learning and artificial intelligence in CNC machine tools, a review, Sustain. Manufactur. Serv. Econ. 57 (2023) 708–726 [Google Scholar]
  5. G. Shankarrao Patange, A. Bharatkumar Pandya, How artificial intelligence and machine learning assist in industry 4.0 for mechanical engineers, Mater. Today: Proc. 72 (2023) 622–625 [CrossRef] [Google Scholar]
  6. X.-S. Yang, A new metaheuristic bat-inspired algorithm, in Nature Inspired Cooperative Strategies for Optimization (NICSO 2010), edited by J.R. González, D.A. Pelta, C. Cruz, G. Terrazas, N. Krasnogor (Springer Berlin Heidelberg, Berlin, Heidelberg, 2010), pp. 65–74 [Google Scholar]
  7. D. Hoang Tien, T. Duc Quy, T. Pham Thi Thieu, N.D. Trinh, Application of vibration singularity analysis, stochastic tool wear, and GPR-MOPSO hybrid algorithm to monitor and optimise power consumption in high-speed milling, Manufactur. Rev. 9 (2022) 14–27 [CrossRef] [EDP Sciences] [Google Scholar]
  8. R.R. Chakule, S.S. Chaudhari, K.V. Chandratre, P.B. Patole, P.S. Talmale, Nanofluids, micro-lubrications and machining process optimisations – a review, Manufactur. Rev. 10 (2023) 1–20 [CrossRef] [EDP Sciences] [Google Scholar]
  9. A. Amirteimoori, I. Mahdavi, M. Solimanpur, S.S. Ali, E.B. Tirkolaee, A parallel hybrid PSO-GA algorithm for the flexible flow-shop scheduling with transportation, Comput. Ind. Eng. 173 (2022) 108672 [CrossRef] [Google Scholar]
  10. Q. Yu, T. Zhou, Y. He, P. Liu, X. Wang, Y. Jiang, J. Yan, Annealed high-phosphorus electroless Ni–P coatings for producing molds for precision glass molding, Mater. Chem. Phys. 262 (2021) 124297 [CrossRef] [Google Scholar]
  11. D. Nguyen, J. Wu, N.M. Quang, L.A. Duc, P.X. Son, Applying fuzzy grey relationship analysis and Taguchi method in polishing surfaces of magnetic materials by using magnetorheological fluid, Int. J. Adv. Manufactur. Technol. 112 (2021) 1675–1689 [CrossRef] [Google Scholar]
  12. R. Kang, Y. Zhang, S. Gao, J. Huang, X. Zhu, High surface integrity fabrication of silicon wafers using a newly developed nonwoven structured grind-polishing wheel, J. Manufactur. Process. 77 (2022) 229–239 [CrossRef] [Google Scholar]
  13. W.-L. Zhu, A. Beaucamp, Compliant grinding and polishing: a review, Int. J. Mach. Tools Manufact. 158 (2020) 103634 [CrossRef] [Google Scholar]
  14. L.A. Duc, P.M. Hieu, N.M. Quang, Study chemical reaction of –Si–OH surface layer by solid and ionic form to surface quality when polishing with chemical–mechanical slurry, J. King Saud Univ. Eng. Sci. 35 (2022) 1–9 [Google Scholar]
  15. J. Bai, Z. Xu, L. Qian, Precision-improving manufacturing produces ordered ultra-fine grained surface layer of tungsten heavy alloy through ultrasonic elliptical vibration cutting, Mater. Des. 220 (2022) 110859 [CrossRef] [Google Scholar]
  16. A. Lu, Z. Shang, X. Luo, T. Jin, H. Luo, Rapid fabrication of ultra-smooth Y-TZP bioceramic surfaces by dual-axis wheel polishing: process development and tribological characterization, J. Manufactur. Process. 55 (2020) 276–287 [CrossRef] [Google Scholar]
  17. T. Hirata, Y. Takei, H. Mimura, Machining property in smoothing of steeply curved surfaces by elastic emission machining, Proc. CIRP 13 (2014) 198–202 [CrossRef] [Google Scholar]
  18. M. Kanaoka, H. Takino, K. Nomura, Y. Mori, H. Mimura, K. Yamauchi, Removal properties of low-thermal-expansion materials with rotating-sphere elastic emission machining, Sci. Technol. Adv. Mater. 8 (2007) 170–172 [CrossRef] [Google Scholar]
  19. N.T. Duy, D.H. Tien, P.T.T. Thoa, A new environment-friendly magnetorheological finishing and fuzzy grey relation analysis in Ti-6Al-4V alloy polishing, Manufactur. Rev. 9 (2022) 17 [CrossRef] [EDP Sciences] [Google Scholar]
  20. C. Xiao, F.-C. Hsia, A. Sutton-Cook, B. Weber, S. Franklin, Polishing of polycrystalline diamond using synergies between chemical and mechanical inputs: a review of mechanisms and processes, Carbon 196 (2022) 29–48 [CrossRef] [Google Scholar]
  21. C. Wang, Y.M. Loh, C.F. Cheung, S. Wang, L.T. Ho, Z. Li, Shape-adaptive magnetic field-assisted batch polishing of three-dimensional surfaces, Precis. Eng. 76 (2022) 261–283 [CrossRef] [Google Scholar]
  22. Z. Xia, F. Fang, E. Ahearne, M. Tao, Advances in polishing of optical freeform surfaces: a review, J. Mater. Process. Technol. 286 (2020) 116828 [CrossRef] [Google Scholar]
  23. D.H. Tien, T.N. Duy, P.T.T. Thoa, Applying GPR-FGRA hybrid algorithm for prediction and optimization of eco-friendly magnetorheological finishing Ti–6Al–4V alloy, Int. J. Interactive Des. Manufactur. 17 (2022) 729–745 [Google Scholar]
  24. D. Zhou, X. Huang, Y. Ming, X. Li, H. Li, W. Li, Material removal characteristics of magnetic-field enhanced shear thickening polishing technology, J. Mater. Res. Technol. 15 (2021) 2697–2710 [CrossRef] [Google Scholar]
  25. J.O. Obiko, F.M. Mwema, M.O. Bodunrin, Validation and optimization of cutting parameters for Ti-6Al-4V turning operation using DEFORM 3D simulations and Taguchi method, Manufactur. Rev. 8 (2021) 5–13 [CrossRef] [EDP Sciences] [Google Scholar]
  26. S. Kumar, G.H.V.C. Chary, M.G. Dastidar, Optimization studies on coal–oil agglomeration using Taguchi (L16) experimental design, Fuel 141 (2015) 9–16 [CrossRef] [Google Scholar]
  27. A. Jain, B.J. Bora, R. Kumar, P. Sharma, B. Deepanraj, K. Irshad, C. Ravikiran, Application of hybrid Taguchi L16 and desirability for model prediction and optimization in assessment of the performance of a novel Water Hyacinth biodiesel run diesel engine, Fuel 339 (2023) 127377 [CrossRef] [Google Scholar]
  28. B. Karmakar, B. Ghosh, S. Samanta, G. Halder, Sulfonated catalytic esterification of Madhuca indica oil using waste Delonix regia: L16 Taguchi optimization and kinetics, Sustain. Energy Technolog. Assess. 37 (2020) 100568 [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.