Artículos de revistas sobre el tema "Roughness prediction"
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Nalbant, Muammer, Hasan Gokkaya y İhsan Toktaş. "Comparison of Regression and Artificial Neural Network Models for Surface Roughness Prediction with the Cutting Parameters in CNC Turning". Modelling and Simulation in Engineering 2007 (2007): 1–14. http://dx.doi.org/10.1155/2007/92717.
Texto completoLin, Wan-Ju, Shih-Hsuan Lo, Hong-Tsu Young y Che-Lun Hung. "Evaluation of Deep Learning Neural Networks for Surface Roughness Prediction Using Vibration Signal Analysis". Applied Sciences 9, n.º 7 (8 de abril de 2019): 1462. http://dx.doi.org/10.3390/app9071462.
Texto completoSaleh, A., D. W. Fryrear y J. D. Bilbro. "AERODYNAMIC ROUGHNESS PREDICTION FROM SOIL SURFACE ROUGHNESS MEASUREMENT". Soil Science 162, n.º 3 (marzo de 1997): 205–10. http://dx.doi.org/10.1097/00010694-199703000-00006.
Texto completoCai, Xiao Jiang, Z. Q. Liu, Q. C. Wang, Shu Han, Qing Long An y Ming Chen. "Surface Roughness Prediction in Turning of Free Machining Steel 1215 by Artificial Neural Network". Advanced Materials Research 188 (marzo de 2011): 535–41. http://dx.doi.org/10.4028/www.scientific.net/amr.188.535.
Texto completoLi, Shilong, Xiaolei Yang y Yu Lv. "Predictive capability of the logarithmic law for roughness-modeled large-eddy simulation of turbulent channel flows with rough walls". Physics of Fluids 34, n.º 8 (agosto de 2022): 085112. http://dx.doi.org/10.1063/5.0098611.
Texto completoAlajmi, Mahdi S. y Abdullah M. Almeshal. "Prediction and Optimization of Surface Roughness in a Turning Process Using the ANFIS-QPSO Method". Materials 13, n.º 13 (4 de julio de 2020): 2986. http://dx.doi.org/10.3390/ma13132986.
Texto completoZeng, Shi y Dechang Pi. "Milling Surface Roughness Prediction Based on Physics-Informed Machine Learning". Sensors 23, n.º 10 (22 de mayo de 2023): 4969. http://dx.doi.org/10.3390/s23104969.
Texto completoNg, J. J., Z. W. Zhong y T. I. Liu. "Prediction of Roughness Heights of Milled Surfaces for Product Quality Prediction and Tool Condition Monitoring". Journal of Materials and Applications 8, n.º 2 (15 de noviembre de 2019): 97–104. http://dx.doi.org/10.32732/jma.2019.8.2.97.
Texto completoZhang, Qi, Yuechao Pei, Yixin Shen, Xiaojun Wang, Jingqi Lai y Maohui Wang. "A New Perspective on Predicting Roughness of Discontinuity from Fractal Dimension D of Outcrops". Fractal and Fractional 7, n.º 7 (22 de junio de 2023): 496. http://dx.doi.org/10.3390/fractalfract7070496.
Texto completoGu, Jiali y Pingxiang Cao. "Prediction of straight tooth milling of Scots pine wood by shank cutter based on neural net computations and regression analysis". BioResources 17, n.º 2 (4 de febrero de 2022): 2003–19. http://dx.doi.org/10.15376/biores.17.2.2003-2019.
Texto completoAlam, S., A. K. M. Nurul Amin, Anayet Ullah Patwari y Mohamed Konneh. "Prediction and Investigation of Surface Response in High Speed End Milling of Ti-6Al-4V and Optimization by Genetic Algorithm". Advanced Materials Research 83-86 (diciembre de 2009): 1009–15. http://dx.doi.org/10.4028/www.scientific.net/amr.83-86.1009.
Texto completoLin, Yung-Chih, Kung-Da Wu, Wei-Cheng Shih, Pao-Kai Hsu y Jui-Pin Hung. "Prediction of Surface Roughness Based on Cutting Parameters and Machining Vibration in End Milling Using Regression Method and Artificial Neural Network". Applied Sciences 10, n.º 11 (5 de junio de 2020): 3941. http://dx.doi.org/10.3390/app10113941.
Texto completoMirifar, Siamak, Mohammadali Kadivar y Bahman Azarhoushang. "First Steps through Intelligent Grinding Using Machine Learning via Integrated Acoustic Emission Sensors". Journal of Manufacturing and Materials Processing 4, n.º 2 (25 de abril de 2020): 35. http://dx.doi.org/10.3390/jmmp4020035.
Texto completoSun, Hao, Chaochao Zhang, Yikai Li, Tingting Yin, Hanming Zhang y Jin Pu. "Study on prediction model of surface roughness of SiCp/Al composites based on Neural Network". Journal of Physics: Conference Series 2174, n.º 1 (1 de enero de 2022): 012091. http://dx.doi.org/10.1088/1742-6596/2174/1/012091.
Texto completoYang, Ching Been, Chyn Shu Deng y Hsiu Lu Chiang. "The Establishment of a Prediction Model for Surface Roughness in Ultrasonic-Assisted Turning". Applied Mechanics and Materials 120 (octubre de 2011): 119–25. http://dx.doi.org/10.4028/www.scientific.net/amm.120.119.
Texto completoLi, Qinghua, Chunlu Ma, Chunyu Wang, Zhengxi Lu y Shihong Zhang. "Application of Combined Prediction Model in Surface Roughness Prediction". Journal of Nanoelectronics and Optoelectronics 17, n.º 11 (1 de noviembre de 2022): 1511–16. http://dx.doi.org/10.1166/jno.2022.3335.
Texto completoDing, Ning, Chang Long Zhao, Xi Chun Luo, Qing Hua Li y Yao Chen Shi. "An Intelligent Prediction of Surface Roughness on Precision Grinding". Solid State Phenomena 261 (agosto de 2017): 221–25. http://dx.doi.org/10.4028/www.scientific.net/ssp.261.221.
Texto completoLu, Xiaohong, Xiaochen Hu, Hua Wang, Likun Si, Yongyun Liu y Lusi Gao. "Research on the prediction model of micro-milling surface roughness of Inconel718 based on SVM". Industrial Lubrication and Tribology 68, n.º 2 (14 de marzo de 2016): 206–11. http://dx.doi.org/10.1108/ilt-06-2015-0079.
Texto completoZhang, Wenhe. "Surface Roughness Prediction with Machine Learning". Journal of Physics: Conference Series 1856, n.º 1 (1 de abril de 2021): 012040. http://dx.doi.org/10.1088/1742-6596/1856/1/012040.
Texto completoAhmed, Siddig E. y Mohammed B. Saad. "Prediction of Natural Channel Hydraulic Roughness". Journal of Irrigation and Drainage Engineering 118, n.º 4 (julio de 1992): 632–39. http://dx.doi.org/10.1061/(asce)0733-9437(1992)118:4(632).
Texto completoDenkena, B., A. Abrão, A. Krödel y K. Meyer. "Analytic roughness prediction by deep rolling". Production Engineering 14, n.º 3 (30 de abril de 2020): 345–54. http://dx.doi.org/10.1007/s11740-020-00961-0.
Texto completoUkar, E., A. Lamikiz, S. Martínez, I. Tabernero y L. N. López de Lacalle. "Roughness prediction on laser polished surfaces". Journal of Materials Processing Technology 212, n.º 6 (junio de 2012): 1305–13. http://dx.doi.org/10.1016/j.jmatprotec.2012.01.007.
Texto completoZhang, Qing, Song Zhang, Jia Man y Bin Zhao. "Effect Analysis and ANN Prediction of Surface Roughness in End Milling AISI H13 Steel". Materials Science Forum 800-801 (julio de 2014): 590–95. http://dx.doi.org/10.4028/www.scientific.net/msf.800-801.590.
Texto completoKim, Dong Woo, Young Jae Shin, Kyoung Taik Park, Eung Sug Lee, Jong Hyun Lee y Myeong Woo Cho. "Prediction of Surface Roughness in High Speed Milling Process Using the Artificial Neural Networks". Key Engineering Materials 364-366 (diciembre de 2007): 713–18. http://dx.doi.org/10.4028/www.scientific.net/kem.364-366.713.
Texto completoNajm, Sherwan Mohammed y Imre Paniti. "Predict the Effects of Forming Tool Characteristics on Surface Roughness of Aluminum Foil Components Formed by SPIF Using ANN and SVR". International Journal of Precision Engineering and Manufacturing 22, n.º 1 (13 de noviembre de 2020): 13–26. http://dx.doi.org/10.1007/s12541-020-00434-5.
Texto completoHerwan, Jonny, Seisuke Kano, Oleg Ryabov, Hiroyuki Sawada, Nagayoshi Kasashima y Takashi Misaka. "Predicting Surface Roughness of Dry Cut Grey Cast Iron Based on Cutting Parameters and Vibration Signals from Different Sensor Positions in CNC Turning". International Journal of Automation Technology 14, n.º 2 (5 de marzo de 2020): 217–28. http://dx.doi.org/10.20965/ijat.2020.p0217.
Texto completoChen, Yuan Ling, Bao Lei Zhang, Wei Ren Long y Hua Xu. "Research on Surface Roughness Prediction Model for High-Speed Milling Inclined Plane of Hardened Steel". Advanced Materials Research 97-101 (marzo de 2010): 2044–48. http://dx.doi.org/10.4028/www.scientific.net/amr.97-101.2044.
Texto completoZhang, Ming, X. Q. Yang y Bo Zhao. "On-Line Prediction Model of Ultrasonic Polishing Surface Roughness". Key Engineering Materials 455 (diciembre de 2010): 539–43. http://dx.doi.org/10.4028/www.scientific.net/kem.455.539.
Texto completoHweju, Zvikomborero, Fundiswa Kopi y Khaled Abou-El-Hossein. "Statistical evaluation of PMMA surface roughness". Journal of Physics: Conference Series 2313, n.º 1 (1 de julio de 2022): 012030. http://dx.doi.org/10.1088/1742-6596/2313/1/012030.
Texto completoLiu, Xubao, Yuhang Pan, Ying Yan, Yonghao Wang y Ping Zhou. "Adaptive BP Network Prediction Method for Ground Surface Roughness with High-Dimensional Parameters". Mathematics 10, n.º 15 (5 de agosto de 2022): 2788. http://dx.doi.org/10.3390/math10152788.
Texto completoVencovský, Václav. "Roughness Prediction Based on a Model of Cochlear Hydrodynamics". Archives of Acoustics 41, n.º 2 (1 de junio de 2016): 189–201. http://dx.doi.org/10.1515/aoa-2016-0019.
Texto completoHu, Jin Ping, Yan Li y Jing Chong Zhang. "Surface Roughness Prediction of High Speed Milling Based on Back Propagation Artificial Neural Network". Advanced Materials Research 201-203 (febrero de 2011): 696–99. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.696.
Texto completoCheng, Rong Kai, Yun Huang y Yao Huang. "Experimental Research on the Predictive Model for Surface Roughness of Titanium Alloy in Abrasive Belt Grinding". Advanced Materials Research 716 (julio de 2013): 443–48. http://dx.doi.org/10.4028/www.scientific.net/amr.716.443.
Texto completoDing, Ning, Long Shan Wang y Guang Fu Li. "Study of Intelligent Prediction Control of Surface Roughness in Grinding". Key Engineering Materials 329 (enero de 2007): 93–98. http://dx.doi.org/10.4028/www.scientific.net/kem.329.93.
Texto completoWang, Jing He, Shen Dong, H. X. Wang, Ming Jun Chen, Wen Jun Zong y L. J. Zhang. "Forecasting of Surface Roughness and Cutting Force in Single Point Diamond Turning for KDP Crystal". Key Engineering Materials 339 (mayo de 2007): 78–83. http://dx.doi.org/10.4028/www.scientific.net/kem.339.78.
Texto completoWu, Tian-Yau y Chi-Chen Lin. "Optimization of Machining Parameters in Milling Process of Inconel 718 under Surface Roughness Constraints". Applied Sciences 11, n.º 5 (28 de febrero de 2021): 2137. http://dx.doi.org/10.3390/app11052137.
Texto completoYU, J., Y. NAMBA y M. SHIOKAWA. "FRACTAL ROUGHNESS CHARACTERIZATION OF SUPER-GROUND Mn-Zn FERRITE SINGLE CRYSTALS". Fractals 04, n.º 02 (junio de 1996): 205–11. http://dx.doi.org/10.1142/s0218348x96000285.
Texto completoGuo, Xiong Hua, Mao Fu Liu y Chang Rong Zhao. "Surface Roughness Prediction in Precision Surface Grinding of Nano-Ceramic Coating Based on Improved ANFIS". Applied Mechanics and Materials 44-47 (diciembre de 2010): 2293–98. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.2293.
Texto completoVidakis, Nectarios, Markos Petousis, Nikolaos Vaxevanidis y John Kechagias. "Surface Roughness Investigation of Poly-Jet 3D Printing". Mathematics 8, n.º 10 (13 de octubre de 2020): 1758. http://dx.doi.org/10.3390/math8101758.
Texto completoTangjitsitcharoen, Somkiat y Angsumalin Senjuntichai. "Intelligent Monitoring and Prediction of Surface Roughness in Ball-End Milling Process". Applied Mechanics and Materials 121-126 (octubre de 2011): 2059–63. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.2059.
Texto completoHuiping, Zhang, Zhang Hongxia y Lai Yinan. "Surface Roughness and Residual Stresses of High Speed Turning 300 M Ultrahigh Strength Steel". Advances in Mechanical Engineering 6 (1 de enero de 2014): 859207. http://dx.doi.org/10.1155/2014/859207.
Texto completoWang, Yahui, Yiwei Wang, Lianyu Zheng y Jian Zhou. "Online Surface Roughness Prediction for Assembly Interfaces of Vertical Tail Integrating Tool Wear under Variable Cutting Parameters". Sensors 22, n.º 5 (3 de marzo de 2022): 1991. http://dx.doi.org/10.3390/s22051991.
Texto completoDing, Ning, Yi Chen Wang, Ding Tong Zhang, Yu Xiang Shi y Jian Shi. "Surface Roughness Prediction Model of Cylinder Grinding". Applied Mechanics and Materials 157-158 (febrero de 2012): 123–26. http://dx.doi.org/10.4028/www.scientific.net/amm.157-158.123.
Texto completoCebeci, Tuncer y David A. Egan. "Prediction of transition due to isolated roughness". AIAA Journal 27, n.º 7 (julio de 1989): 870–75. http://dx.doi.org/10.2514/3.10194.
Texto completoKong, Dongdong, Junjiang Zhu, Chaoqun Duan, Lixin Lu y Dongxing Chen. "Bayesian linear regression for surface roughness prediction". Mechanical Systems and Signal Processing 142 (agosto de 2020): 106770. http://dx.doi.org/10.1016/j.ymssp.2020.106770.
Texto completoGrzenda, Maciej y Andres Bustillo. "The evolutionary development of roughness prediction models". Applied Soft Computing 13, n.º 5 (mayo de 2013): 2913–22. http://dx.doi.org/10.1016/j.asoc.2012.03.070.
Texto completoReddy, B. Sidda, G. Padmanabha y K. Vijay Kumar Reddy. "Surface Roughness Prediction Techniques for CNC Turning". Asian Journal of Scientific Research 1, n.º 3 (15 de abril de 2008): 256–64. http://dx.doi.org/10.3923/ajsr.2008.256.264.
Texto completoJesuthanam, C. P., S. Kumanan y P. Asokan. "SURFACE ROUGHNESS PREDICTION USING HYBRID NEURAL NETWORKS". Machining Science and Technology 11, n.º 2 (29 de mayo de 2007): 271–86. http://dx.doi.org/10.1080/10910340701340141.
Texto completoSingh, Sanjay Kumar, K. Srinivasan y D. Chakraborty. "Acoustic characterization and prediction of surface roughness". Journal of Materials Processing Technology 152, n.º 2 (octubre de 2004): 127–30. http://dx.doi.org/10.1016/j.jmatprotec.2004.03.023.
Texto completoBrezocnik, M., M. Kovacic y M. Ficko. "Prediction of surface roughness with genetic programming". Journal of Materials Processing Technology 157-158 (diciembre de 2004): 28–36. http://dx.doi.org/10.1016/j.jmatprotec.2004.09.004.
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