Advanced numerical methods to optimize cutting operations of five-axis milling machines

The book presents new optimization algorithms designed to improve the efficiency of tool paths for five-axis NC machining of sculptured surfaces. The book introduces the reader to fundamental issues involved in the tool path planning such as the kinematics of five-axis machines, types of 5 axis mach...

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Gorde:
Xehetasun bibliografikoak
Egile Nagusiak: Makhanov, Stanislav S., Anotaipaiboon, Weerachai (Egilea)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edizioa:1st ed. 2007.
Saila:Springer Series in Advanced Manufacturing
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Oharra: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Advanced Numerical Methods to Optimize Cutting Operations of Five-Axis Milling Machines, Texte imprimé, 9783540711209
• Advanced Numerical Methods to Optimize Cutting Operations of Five Axis Milling Machines, Texte imprimé, 9783642090226
• Advanced Numerical Methods to Optimize Cutting Operations of Five Axis Milling Machines, Texte imprimé, 9783540835882
Deskribapena
Gaia:The book presents new optimization algorithms designed to improve the efficiency of tool paths for five-axis NC machining of sculptured surfaces. The book introduces the reader to fundamental issues involved in the tool path planning such as the kinematics of five-axis machines, types of 5 axis machines, part surface representation, machining strips, optimal tool orientation, gouging avoidance and forward step error. It also introduces new methods of optimization based on research conducted by the authors, including schemes performed in the spatial domain, angular domain as well as procedures to optimize the initial setup. The book can be used by undergraduate and graduate students and researchers in the field of NC machining and CAD/CAM as well as by the corporate research groups for advanced optimization of cutting operations
Alearen deskribapena:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9783540711216
ISSN:2196-1735
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