As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
Fast and dynamic development of engineering and technology forces designers to reduce time which is needed to design new technical object. The result of this process was fast development of Computer Aided Design (CAD) methods and with the development of such systems new knowledge focused on design methods based on Knowledge-based Engineering (KBE) were developed. One of KBE approaches connected with the application of CAD systems is Generative Modeling, which automates routine design performed in CAD systems. As a result design features, whole parts and even whole assemblies can be generated automatically in CAD system. These generated assemblies and elements can adapt to changed input data. Thus, Generative Modeling method can increase the speed and quality of designed elements. As a use case for application of generative modeling subassemblies of ultra-efficient electric vehicle and drive transmission assembly were used. The process of constructing generative models of assemblies and systems of ultra-efficient car was described, especially acquisition of knowledge and creating knowledge model up to integration knowledge with CAD system – in this case it is CATIA V5. The problems faced during the process of processing knowledge and solutions to these problems were addressed. Additionally, further steps for development of the models and the advantages of generative modeling approach were described.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.