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Original Articles

A GENETIC ALGORITHMIC APPROACH FOR OPTIMIZATION OF SURFACE ROUGHNESS PREDICTION MODEL IN DRY MILLING

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Pages 63-84 | Published online: 07 Feb 2007

Keep up to date with the latest research on this topic with citation updates for this article.

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Emel Kuram. (2017) Nose radius and cutting speed effects during milling of AISI 304 material. Materials and Manufacturing Processes 32:2, pages 185-192.
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Irene Buj-Corral, Joan Vivancos-Calvet & Hernán González-Rojas. (2013) ROUGHNESS VARIATION CAUSED BY GRINDING ERRORS OF CUTTING EDGES IN SIDE MILLING. Machining Science and Technology 17:4, pages 575-592.
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Articles from other publishers (20)

Emel Kuram. (2023) Multi-objective optimization of tool nose radius and machining conditions employing Taguchi-based grey relational analysis in milling of AISI 304. Soft Computing.
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N. L. Bhirud, A. S. Dube, Amit S. Patil & K. S. Bhole. (2023) Modeling and multi-objective optimization of cutting parameters using response surface method for milling of medium carbon steel (EN8). International Journal on Interactive Design and Manufacturing (IJIDeM).
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Muhammad Huzaifa Raza, Faisal Hafeez, Ray Y. Zhong & Asif Imran. (2020) Investigation of surface roughness in face milling processes. The International Journal of Advanced Manufacturing Technology 111:9-10, pages 2589-2599.
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O Bilek, R Milde, J Strnad, M Zaludek & M Bednarik. (2020) Prediction and modeling of roughness in ball end milling with tool-surface inclination. IOP Conference Series: Materials Science and Engineering 726:1, pages 012003.
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B. Sachin, S. Narendranath & D. Chakradhar. (2019) Selection of optimal process parameters in sustainable diamond burnishing of 17-4 PH stainless steel. Journal of the Brazilian Society of Mechanical Sciences and Engineering 41:5.
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Ramesh Rajguru & Hari Vasudevan. 2019. Proceedings of International Conference on Intelligent Manufacturing and Automation. Proceedings of International Conference on Intelligent Manufacturing and Automation 425 432 .
Ondřej Bílek, Vladimír Pata, Milena Kubišová & Martin Řezníček. (2018) Mathematical Methods of Surface Roughness Evaluation of Areas with a Distinctive Inclination. Manufacturing Technology 18:3, pages 363-368.
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Huu-That Nguyen & Quang-Cherng Hsu. (2016) Surface Roughness Analysis in the Hard Milling of JIS SKD61 Alloy Steel. Applied Sciences 6:6, pages 172.
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Rakesh Kumar Gunda, Narala Suresh Kumar Reddy & H.A. Kishawy. (2016) A Novel Technique to Achieve Sustainable Machining System. Procedia CIRP 40, pages 30-34.
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Surinder Kumar, Meenu Gupta & P.S. Satsangi. (2015) Multiple-response optimization of cutting forces in turning of UD-GFRP composite using Distance-Based Pareto Genetic Algorithm approach. Engineering Science and Technology, an International Journal 18:4, pages 680-695.
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C.L. He, W.J. Zong, Z.M. Cao & T. Sun. (2015) Theoretical and empirical coupled modeling on the surface roughness in diamond turning. Materials & Design 82, pages 216-222.
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G. Mahesh, S. Muthu & S. R. Devadasan. (2014) Prediction of surface roughness of end milling operation using genetic algorithm. The International Journal of Advanced Manufacturing Technology 77:1-4, pages 369-381.
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Mohd Sayuti Ab Karim & Ahmed Aly Diaa Mohammed Sarhan. 2015. Transactions on Engineering Technologies. Transactions on Engineering Technologies 551 565 .
Sarojrani Pattnaik & Sutar Mihir Kumar. 2015. Computational Intelligence in Data Mining - Volume 2. Computational Intelligence in Data Mining - Volume 2 201 208 .
Guo Fu Gao, Zong Xia Fu, Jing Zhui Zhao & Yan Wang. (2014) Study on Surface Roughness of Milling Based on the Elastic-Plastic Deformation. Applied Mechanics and Materials 551, pages 55-60.
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Sunday J. Ojolo, Olatunde Damisa & Oluwatoyin Iyekolo. (2011) Investigation into the effects of solid lubricant on the surface characteristics of some metals during orthogonal machining. Journal of Engineering, Design and Technology 9:2, pages 130-142.
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Li Bing Liu, Xi Wang, Wei Wu Zhong, Hui Yu, Dong Ting Liao & Fei Wu. (2010) An Experimental Study of Hard Dry Milling Based on Multi-Sensor Process Monitoring and Analysis. Advanced Materials Research 108-111, pages 1086-1091.
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N S K Reddy & M Yang. (2009) Development of an electro static lubrication system for drilling of SCM 440 steel. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 224:2, pages 217-224.
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N. Suresh Kumar Reddy & P. Venkateswara Rao. (2006) Enhancement of Machinability of AISI1045 Steel Using Molybdenum Disulphide as a Solid Lubricant. Enhancement of Machinability of AISI1045 Steel Using Molybdenum Disulphide as a Solid Lubricant.
N. Suresh Kumar Reddy & P. Venkateswara Rao. (2006) Experimental investigation to study the effect of solid lubricants on cutting forces and surface quality in end milling. International Journal of Machine Tools and Manufacture 46:2, pages 189-198.
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