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Modeling Surface Finish in End Milling Using Fuzzy Subtractive Clustering-Based System Identification Method

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Pages 653-665 | Published online: 31 Aug 2006

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A. Arun Premnath, T. Alwarsamy & T. Rajmohan. (2012) Experimental Investigation and Optimization of Process Parameters in Milling of Hybrid Metal Matrix Composites. Materials and Manufacturing Processes 27:10, pages 1035-1044.
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Hussien Mahmoud Al-Wedyan & Mohammed T. Hayajneh. (2017) Prediction and controlling of roundness during the BTA deep hole drilling process: Experimental investigations and fuzzy modeling. Materials Testing 59:3, pages 284-289.
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Tzu-Liang (Bill) Tseng, Udayvarun Konada & Yongjin (James) Kwon. (2016) A novel approach to predict surface roughness in machining operations using fuzzy set theory. Journal of Computational Design and Engineering 3:1, pages 1-13.
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Liauw Hephi & Chai Soo See. (2015) Comparison of Data Driven Models (DDM) for soil moisture retrieval using microwave remote sensing data. Comparison of Data Driven Models (DDM) for soil moisture retrieval using microwave remote sensing data.
Mohammed T. Hayajneh, Adel Mahmood Hassan & Fatma Al-Wedyan. (2009) Monitoring defects of ceramic tiles using fuzzy subtractive clustering-based system identification method. Soft Computing 14:6, pages 615-626.
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Tarendra Lakhankar, Hosni Ghedira, Marouane Temimi, Manajit Sengupta, Reza Khanbilvardi & Reginald Blake. (2009) Non-parametric Methods for Soil Moisture Retrieval from Satellite Remote Sensing Data. Remote Sensing 1:1, pages 3-21.
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M. R. Mitchell, R. E. Link, Mohammed T. Hayajneh & Saleh. M. Radaideh. (2007) Monitoring Hole Quality in a Drilling Process Using a Fuzzy Subtractive Clustering-based System Identification Method. Journal of Testing and Evaluation 35:3, pages 12575.
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