The* paper presents the results of research and application of adaptive neuro-fuzzy inference system (ANFIT) to predict part’s surface roughness value, part’s oval level value and grinding stone’s wear value in grinding profile for ball bearing's inner ring groove according to parameters such as normal feet rate, the speed of part, the depth of cutting and the number of grinding parts in a grinding cycle. | Journal of Science & Technology 123 (2017) 034-040 The Application of Neuron Fuzzy Network for Assessing the Impact of Cutting Mode on Part’s Accuracy and Grinding Wheel’s Wear in Profile Grinding for Ball Bearing's Inner Ring Groove 1 Nguyen Anh Tuan1*, Vu Toan Thang2, Nguyen Viet Tiep2, Duong Nhat Thang2 University of Economics and Technical Industries, No. 456 Minh Khai Str., Hai Ba Trung, Ha Noi, Viet Nam 2 Hanoi University of Science and Technology, No. 1, Dai Co Viet Str., Hai Ba Trung, Ha Noi, Viet Nam Received: September 19, 2017; Accepted: November 03, 2017 Abstract The * paper presents the results of research and application of adaptive neuro-fuzzy inference system (ANFIT) to predict part’s surface roughness value, part’s oval level value and grinding stone’s wear value in grinding profile for ball bearing's inner ring groove according to parameters such as normal feet rate, the speed of part, the depth of cutting and the number of grinding parts in a grinding cycle. On that basis, the impact of cutting mode on part’s surface roughness, part’s oval level and grinding wheel’s wear is assessed. The comparison of ANFIT predictions, BPNN predictions and experimental data values indicates that results predicted by ANFIT model are more accurate than those predicted by BPNN method. This demonstrates the reliability and applicability in reality of the neurons fuzzy network tool. Keywords: Profile grinding, surface roughness, cutting mode. 1. Introduction process are much bigger than those generated by other normal grinding processes. Profile grinding wheel is worn continuously and unevenly at various points on its working surface, making its initial shape and accuracy change quickly, causing form errors of processing surface. Thus, grinding wheel’s wear, under the profile grinding, influences directly on the precision elements of grinding parts. Especially, in the precision factors, part’s surface roughness and part’s oval level are the most important .
