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Original Articles

Surface roughness modelling considering uncertainty in measurements

Pages 2245-2268 | Published online: 14 Nov 2010

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Read on this site (2)

K. M. Patel*PulakM. Pandey & P. Venkateswara Rao. (2009) Determination of an Optimum Parametric Combination Using a Surface Roughness Prediction Model for EDM of Al2O3/SiCw/TiC Ceramic Composite. Materials and Manufacturing Processes 24:6, pages 675-682.
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N. Suresh Kumar Reddy & P. Venkateswara Rao. (2005) A GENETIC ALGORITHMIC APPROACH FOR OPTIMIZATION OF SURFACE ROUGHNESS PREDICTION MODEL IN DRY MILLING. Machining Science and Technology 9:1, pages 63-84.
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Articles from other publishers (18)

János Kundrák, Csaba Felhő & Antal Nagy. (2022) Analysis and Prediction of Roughness of Face Milled Surfaces using CAD Model. Manufacturing Technology 22:5, pages 558-572.
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Min Li, Fangzeng Song & Zhenrong Huang. (2022) Control strategy of machining efficiency and accuracy in weak-chemical-coordinated-thickening polishing (WCCTP) process on spherical curved 9Cr18 components. Journal of Manufacturing Processes 74, pages 266-282.
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Natarajan Tamiloli & Velpuri Venkat Raman. (2021) Comparative study on Mamdani-Type Fuzzy Inference Systems and Regression model for end milling process using AA 6082T6. Journal of Physics: Conference Series 2070:1, pages 012209.
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Amlana Panda, Ashok Kumar Sahoo, Ramanuj Kumar & Diptikanta Das. (2020) A concise review of uncertainty analysis in metal machining. Materials Today: Proceedings 26, pages 1734-1739.
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Pavel Kovač, Mirfad Tarić, Dragan Rodić, Bogdan Nedić, Borislav Savković & Dušan Ješić. 2019. Proceedings of the International Symposium for Production Research 2018. Proceedings of the International Symposium for Production Research 2018 16 25 .
Vishal N. Sulakhe, Rajendra Dalu, Nitin Seth, Pravin Sharma & Neha Sanghai. Influence of powder-mixed dielectric on MRR and TWR in EDM process. Influence of powder-mixed dielectric on MRR and TWR in EDM process.
Venkatesh Mundada & Suresh Kumar Reddy Narala. (2018) Optimization of Milling Operations Using Artificial Neural Networks (ANN) and Simulated Annealing Algorithm (SAA). Materials Today: Proceedings 5:2, pages 4971-4985.
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Pavel Kovač, Borislav Savković, Dragan Rodić, Marin Gostimirović, Milenko Sekulić & Dušan Ješić. (2017) Application of Neuro-Fuzzy Systems for Modeling Surface Roughness Parameters for Difficult-to-Cut-Steel. Solid State Phenomena 261, pages 277-284.
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Luiz Gustavo D. Lopes, José Henrique de Freitas Gomes, Anderson Paulo de Paiva, Luiz Fernando Barca, João Roberto Ferreira & Pedro Paulo Balestrassi. (2013) A multivariate surface roughness modeling and optimization under conditions of uncertainty. Measurement 46:8, pages 2555-2568.
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P. Kovac, D. Rodic, V. Pucovsky, B. Savkovic & M. Gostimirovic. (2012) Application of fuzzy logic and regression analysis for modeling surface roughness in face milliing. Journal of Intelligent Manufacturing 24:4, pages 755-762.
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A.R. Silva Filho, A.M. Abrão, A.P. Paiva & J.R. Ferreira. (2012) Multivariate Optimization of the Cutting Parameters when Turning Slender Components. International Journal of Manufacturing, Materials, and Mechanical Engineering 2:4, pages 12-31.
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K. Chockalingam, N. Jawahar, U. Chandrasekar & K.N. Ramanathan. (2008) Establishment of process model for part strength in stereolithography. Journal of Materials Processing Technology 208:1-3, pages 348-365.
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C.J. Luis & I. Puertas. (2007) Methodology for developing technological tables used in EDM processes of conductive ceramics. Journal of Materials Processing Technology 189:1-3, pages 301-309.
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Ignacio Puertas & C.J. Luis-Pérez. (2006) Modelling of Surface Roughness (Ra and Rq) in the EDM of Reaction-Bonded Silicon Carbide. Materials Science Forum 526, pages 151-156.
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N. Suresh Kumar Reddy & P. Venkateswara Rao. (2005) Selection of optimum tool geometry and cutting conditions using a surface roughness prediction model for end milling. The International Journal of Advanced Manufacturing Technology 26:11-12, pages 1202-1210.
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C.J. Luis, I. Puertas & G. Villa. (2005) Material removal rate and electrode wear study on the EDM of silicon carbide. Journal of Materials Processing Technology 164-165, pages 889-896.
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I. Puertas, C.J. Luis & G. Villa. (2005) Spacing roughness parameters study on the EDM of silicon carbide. Journal of Materials Processing Technology 164-165, pages 1590-1596.
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Yue Jiao, Shuting Lei, Z.J. Pei & E.S. Lee. (2004) Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations. International Journal of Machine Tools and Manufacture 44:15, pages 1643-1651.
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