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Intelligent Fixtures for the Manufacturing of Low Rigidity Components

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Cover of 'Intelligent Fixtures for the Manufacturing of Low Rigidity Components'

Table of Contents

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    Book Overview
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    Chapter 1 Case Study 1.1: Identification and Active Damping of Critical Workpiece Vibrations in Milling of Thin Walled Workpieces
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    Chapter 2 Case Study 1.2: Turning of Low Pressure Turbine Casing
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    Chapter 3 Case Study 1.3: Auto-adaptive Vibrations and Instabilities Suppression in General Milling Operations
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    Chapter 4 Case Study 2.1: Detection and Compensation of Workpiece Distortions During Machining of Slender and Thin-Walled Aerospace Parts
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    Chapter 5 Case Study 2.2: Clamping of Thin-Walled Curved Workpieces
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    Chapter 6 Case Study 2.3: Distortions in Aeronautical Structural Parts
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    Chapter 7 Case Study 2.4: Machining of Aircraft Turbine Support Structures
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    Chapter 8 Case Study 3.1: Fixture System for Workpiece Adjustment and Clamping with/without its Pre-deformation
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    Chapter 9 Case Study 3.2: Semiautomatic Tool Reference for Application on Large Parts
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    Chapter 10 Case Study 3.3: Active Fixtures for High Precision Positioning of Large Parts for the Windmill Sector
Attention for Chapter 3: Case Study 1.3: Auto-adaptive Vibrations and Instabilities Suppression in General Milling Operations
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Citations

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Chapter title
Case Study 1.3: Auto-adaptive Vibrations and Instabilities Suppression in General Milling Operations
Chapter number 3
Book title
Intelligent Fixtures for the Manufacturing of Low Rigidity Components
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-45291-3_3
Book ISBNs
978-3-31-945290-6, 978-3-31-945291-3
Authors

Lorenzo Sallese, Jason Tsahalis, Niccolò Grossi, Antonio Scippa, Gianni Campatelli, Harry Tsahalis

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 2 67%
Unknown 1 33%

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