Search for optimal grain size of nitride-boron wheels during flat grinding of parts made of 06Х14Н6Д2МВТ-Ш steel on surface microrelief under conditions of fuzzy logic simulation

Authors: Soler Ya.I., Nguyen M.T. Published: 21.12.2015
Published in issue: #6(105)/2015  

DOI: 10.18698/0236-3941-2015-6-96-111

Category: Mechanical Engineering and Machine Science | Chapter: Technology and Equipment of Mechanical and Physical Processing  
Keywords: grinding, roughness, statistics, median, quartile width, fuzzy logic, desirability function, Mamdani algorithm

Selection of grinding wheels is the most effective means of enhancing both the efficiency of grinding and the quality of the manufactured parts. The process stochastic nature determines the use of the statistical methods for interpreting the output parameters while considering them as random values. Both violation of dispersions and deviation from the normal distributions during grinding make it appropriate to use the non-parametrical statistical method, which implies that the medians are considered the position measurer and quartile latitudes - the dispersion measurer. Unfortunately, the statistical methods cannot provide a complex evaluation of the wheels cutting capacity using the both measurers simultaneously. An innovative approach to this analysis determines the usage of the fuzzy logic methods during the simulation process in the MATLAB environment with the help of the FuzzyLogicToolbox specialized additional package. The simulation showed that CBN30 B151 100 OVK27-KF40 wheels provide the best quality in terms of the surface roughness during grinding ofthe parts made of hardened corrosion-resistant 06X14H6Д2MBT-Ш steel.


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