Buch, Englisch, 148 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 440 g
Buch, Englisch, 148 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 440 g
Reihe: Lecture Notes in Mechanical Engineering
ISBN: 978-3-032-04438-9
Verlag: Springer
This book provides focused and structured knowledge of a defined and limited subject in terms of detailed implementation, a systematic description of theoretical hypotheses and results, constructive and design characteristics for a product/process or experiment, and exemplary applications to real cases. This is the second volume in the CIRP Novel Topics in Production Engineering (CNTPE), a collection of essays addressing novel research areas in production engineering, published regularly in book volumes. Each essay provides a systematization and explanation of a technology, an approach, a process, etc., and covers a novel research area once it has been published in the scientific literature for a few years. These constitute the background knowledge for scientists/professionals to approach a novel scientific and technological area—addressing background concepts, relevant tools and methodologies, language, and theory.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik
- Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computer-Aided Design (CAD)
- Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle
- Technische Wissenschaften Technik Allgemein Konstruktionslehre und -technik
Weitere Infos & Material
Part 1: STC A - Life cycle engineering and assembly.- Technical language processing in manufacturing applications.- Part 2: STC F – Forming.- Towards “First-Time-Right” production in metal forming processes.- Part 3: STC M – Machines.- Bayesian inference for milling stability modelling.- Part 4: STC O - Production systems and organizations.- A modular framework for implementing release control policies in discrete-event simulation models.




