This article represents an overview of the main design and technological features of equipment for peen forming and grinding of long-sized parts of the aviation industry. Since the end of the 80s of the XX century, the Federal State Budgetary Educational Institution of Higher Education INRTU has been working on the creation of equipment for the manufacture of large-sized panels and aircraft skins for the leading enterprises of the aviation industry of the Russian Federation. Totally there were 4 industrial units created, which proved their efficiency and competitiveness in the production process of TU-204, TU-334 and BE-200 aircrafts. Based on experience, a universal installation has been developed, which can be used as part of the equipment complex of the industry competence center for the shaping of large-sized aircraft parts.
The purpose of the study is to develop basic approaches to digital models of cross-cutting production of frame and casing parts in order to forecast stress-strain behavior and change of a part form at all production stages. The proposed method covers stage-by-stage modeling of part production including machining, shaping (levelling) and face hardening using mechanical characteristics of a material, technological residual stress and initial shape. This approach in combination with equipment under control will allow optimizing machining conditions and achieving the required accuracy of parts and maximum capacity without pilot-scale works. The use of developed technique will make it possible to increase the production efficiency of parts due to time minimization of finishing operations and cost reduction for preproduction for the launch of new products.
The article analyzes methods used to identify technological parameters for combined forming of double curved skins. The combined method involves elastic plastic bending and shot peening. The results of finiteelement simulation of these technological processes and their combinations are described. The results of experimental verification of the methods are presented.
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.