The CATIA V5-6R2017: Advanced Part Design learning guide is ideal for experienced CATIA users who want to extend their modeling abilities with advanced functionality and techniques. This extensive hands-on guide contains numerous projects focused on process-based exercises to give students practical experience while improving design productivity. Students will learn techniques for reusing data, tackling complex geometry, using wireframe, working through feature failure, and investigating the model with analysis tools.
Topics Covered
Prerequisites
CATIA V5-6 R2017: Introduction to Modeling, plus 80 hours of CATIA experience.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
ASCENT develops and produces a wide range of courseware offerings, knowledge products, and courseware for the industry’s leading engineering software tools from Autodesk, Dassault Systèmes, and PTC. ASCENT's team is comprised of courseware developers, engineers, instructional designers, architects, and technical writers who work together to create training solutions that work for our clients. Our curriculum group specializes in the creation of blended education programs that incorporate the best of expert-led and technology-based training offerings to create the most effective course content and ensure that users achieve maximum productivity from their chosen engineering tools. We also work to meet our client's needs by offering different levels of customization for classroom-training curriculum.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Taschenbuch. Condizione: Neu. Neuware - The CATIA V5-6R2017: Advanced Part Design learning guide is ideal for experienced CATIA users who want to extend their modeling abilities with advanced functionality and techniques. This extensive hands-on guide contains numerous projects focused on process-based exercises to give students practical experience while improving design productivity. Students will learn techniques for reusing data, tackling complex geometry, using wireframe, working through feature failure, and investigating the model with analysis tools. Codice articolo 9781946571991
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