Approaches to design engineering and technological designing integration

Aeronautical and Space-Rocket Engineering

Design, construction and manufacturing of flying vehicles


Аuthors

Milyukov I. A.1*, Rogalev A. N.2**, Sokolov V. P.1***

1. National Research University “Moscow Power Engineering Institute”, 14, Krasnokazarmennaya str., Moscow, 111250 Russia
2. “Power machines – ZTL, LMZ, Electrosila, Energomachexport” (“Power machines”), 3A, Vatutina str., St. Petersburg, 195009, Russia

*e-mail: ig.milukov2013@mail.ru
**e-mail: r-andrey2007@yandex.ru
***e-mail: vl.sokolov2013@mail.ru

Abstract

At present, means of technological equipment with digital control prevail in technical objects production, which predetermines digital methods for both technical objects and technological processes representation, digital workflow and robotic production. It requires new approaches and methods for integration of designing and manufacturing. Organizational separation of technical preproduction into design and technological ones is characteristic for various branches of science-intensive mechanical engineering, including aviation and space-rocket industries. Complexity and functional completeness of the problems being solved by various automated systems separate designing, manufacturability adjustment and preproduction into separate stages of the science-intensive products’ life cycle. Primacy of design as the process of the new or being upgraded object (products, technological processes, production systems, information systems) description creation, necessary and sufficient for the object being designed realization under the specified conditions, is common to all stages. The main constraints for technical objects design are the specified quality indicators, and rational options selection criteria are both functional performance indicators and technical and economic indicators of realization at all stages of the life cycle. The «Designing» stage includes the following phases: development of technical specifications; technical proposal; draft design; technical project; working draft. Preproduction planning of aerospace enterprises includes the following stages: grouping or shop-to-shop routing of the product, ensuring manufacturability of the product design, technological processes developing, technological equipment design, material and information flows design and production system functioning adjustment. The results of each stage are being formalized in the form of project documentation. Design and technological models for the same design objects differ not only by the form of representation, but by the volume of the features and parameters being described as well, employed for the design and process design systems developing, which significantly complicates their integration. It is recommended to employ the following system-wide principles, ensuring information support of the objects for designing and technological design integration: the principle of inclusion; the principle of completeness; the principle of information unity; the principle of compatibility and the principle of invariance while automated systems creation and development. With account for the requirements on consistency, independence and completeness of the parallel design system based on representations and interpretations of the design automation methodology in the subject areas of designing and technological design the basic functions of the design systems were formulated.

The structure of the design process models were determined with separation of models of various objects, being formed and interacted in the design process, as well as the structural-parametric modeling process were developed.

It was recommended to apply a unified mathematical description of science-intensive products, technological systems and technological processes in designing and technological design to ensure effective integration of automated systems for all stages of the life cycle employing the PDM and PLM systems.

Keywords:

life cycle, preproduction, design, technological designing, integration of systems, automated systems, tools, quality indicators, parallel design, structural-parametric modeling

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