Face gear generating grinding residual model based on the normal cutting depth iterative method

نویسندگان

چکیده

The generating grinding method has the characteristics of high machining accuracy and efficiency. Therefore, it is widely used in finishing process face gear tooth surface. physical performance an important factor that influences to improve manufacturing gear, necessary accurately simulate gear. Owing influence complex spatial geometric surface wheel, establishing a residual modeling for key challenge simulating process. To address aforementioned issues, this study proposes normal cutting depth iterative calculate This considers 3D establishes model each node grinding. Compared with other algorithms based on 2D truncation or Boolean operation gears, algorithm higher computational Thus, lays foundation microscopic topography

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

15 صفحه اول

Jp4.16 an Iterative Method for Generating Scaling Log-normal Simulations

It has been shown that the single-point probability density functions of the data of certain cloud properties, such as cloud optical depth, are positively skewed and resemble the probability density functions of a log-normal random variable (e.g. Barker et al., 1996). There is also evidence that, for certain spatial scales, the two-point statistics are such that the energy spectrum Ek satisfies...

متن کامل

Iterative shrinking method for generating clustering

The pairwise nearest neighbor method (PNN) generates the clustering of a given data set by a sequence of merge steps. In this paper, we propose an alternative solution for the mergebased approach by introducing an iterative shrinking method. The new method removes the clusters iteratively one by one until the desired number of clusters is reached. Instead of merging two nearby clusters, we remo...

متن کامل

Convergence characteristics of the generalized residual cutting method

The residual cutting (RC) method has been proposed for efficiently solving linear equations obtained from elliptic partial differential equations. Based on the RC, we have introduced the generalized residual cutting (GRC) method, which can be applied to general sparse matrix problems. In this paper, we study the mathematics of the GRC algorithm and and prove it is a Krylov subspace method. More...

متن کامل

Entropy-Based Iterative Face Classification

This paper presents a novel methodology whose task is to deal with the face classification problem. This algorithm uses discriminant analysis to project the face classes and a clustering algorithm to partition the projected face data, thus forming a set of discriminant clusters. Then, an iterative process creates subsets, whose cardinality is defined by an entropybased measure, that contain the...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: The International Journal of Advanced Manufacturing Technology

سال: 2023

ISSN: ['1433-3015', '0268-3768']

DOI: https://doi.org/10.1007/s00170-023-11121-w