
Top down designing spacecraft in CAD applying knowledge-based parametric patterns
Author(s) -
M V Lihachev,
I V Poturemsky,
Yu G Vygonsky,
A D Leonenkov,
V. V. Baranov
Publication year - 2020
Publication title -
iop conference series materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/734/1/012039
Subject(s) - spacecraft , reuse , variety (cybernetics) , computer science , cad , product (mathematics) , quality (philosophy) , systems engineering , parametric statistics , engineering , engineering drawing , artificial intelligence , aerospace engineering , philosophy , statistics , geometry , mathematics , epistemology , waste management
The article demonstrates that creating theoretically grounded data model and product development processes within a common information space of the enterprise using the top down design approach is the assignment to be performed if the researchers take into account a wide variety of the interrelated issues, such as: managing the changes and configuration, reusing data, realizing the advantages of knowledge-based patterns. The similar data models and processes are currently demanded, since their implementation significantly reduces the time and money expenditures and improves the product quality at its development stage. The authors present their methodology of top down designing spacecraft based on top level CAD using knowledge-based patterns of spacecraft structure elements.
Empowering knowledge with every search
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom