In production practice,the preferred methods of determining interference fit of hole and axle are mainly empirical methods such as analogy ,which exist a wide range of errors. This paper discusses in detail the selection standard of common interference fit by stress analysis of hole and axle interference fit,puts forward the concept of allowable shearing stress of interference fit which refers to allowable shearing stress in machine design,and determines the preferred method of exact interference fit.
In the curved surface molding of automobiles’ covering components, large amounts of data should first be sampled, and be fitted to curves with the conventional data-fitting method. Then the curves are connected to face and given corresponding molding processing, and the required effect of the curves is being smooth and accurate. The conventional data-fitting method is improved in this paper considering practical application, and the accuracy is increased with the same amount of sampling data. In practical application, this method can lessen labor intensity by decreasing measured data amount, which increases work efficiency and doesn’t affect the curve fitting accuracy. So it has good engineering application value.
This paper analyzed accuracy calibrating methods of multi-batch experiment data with system errors which can not be removed and gave the accuracy assessment parameters of mathematical models. Besides, according to the features of experiment data, this paper presented “median of vertical intercept modeling method” which was used on the accuracy assessment of eddy current sensor, comparing with the traditional modeling method, to obtain optimized mathematical models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.