Error analysis of rib curves based on measured data of airfoil-wainscot
The characteristics of accuracy control of large-scale airfoil-wainscot parts are analyzed. The accuracy of airfoil-wainscot is controlled by its rib curves, and the rib curves are straight lines whether after processing or before on the direction of face projection. The method of compensating the radius of measuring probe is presented also based on measuring data from 1D scanning probe. Aiming at the inspection requirement of the measured part and the characteristics of rib curves, the algorithms of curve matching and error analysis are proposed. The experimental results show that the proposed methods can meet the accuracy requirement of online inspection of airfoil-wainscot parts.
New approach for evaluating form errors of engineering surfaces
Abstract Manufactured features generally deviate in size, form and relations with respect to other features from the features desired by the designer. Designers specify certain limits for these deviations that depend on functional requirements. The specification of different form errors is dealt with by the International Organization for Standardization (ISO). ISO also specifies that an ideal geometric feature must be established from the actual measurements such that the maximum deviation between it and the actual feature concerned is the least possible value. In practice, the least squares (LS) method is sometimes used for establishing the ideal feature, as this method is based on sound mathematical principles. However, the least squares procedure does not yield a minimum value. Therefore some attempts have been made to arrive at a form error based on the minimum deviation (MD) principles. A stray peak or valley on the actual feature introduces considerable variation in the results obtained by the minimum deviation method. This paper suggests a new approach based on the minimum average deviation (MAD). In this method, the ideal feature is established by using a search technique for different geometric features such as straight lines, circles, planes, cylinders and spheres. Using simple numerical examples, the values obtained by this approach are compared with the values obtained by the least squares and minimum deviation methods.
Metallurgical Process Engineering
The "material of choice" - steel.- Uprising of China's steel industry.- Process manufacturing industry and process engineering.- Engineering science in steel manufacturing process.- Analysis and integration of metallurgical manufacturing process.- Multi-dimensional mass flow control for metallurgical manufacturing process.- Time factors in steel manufacturing process.-Operating dynamics in the production process of steel plant.- Structure and mode of steel plant.- Steel plant and environment.