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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 10: Case Study 3.3: Active Fixtures for High Precision Positioning of Large Parts for the Windmill Sector
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Citations

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3 Mendeley
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Chapter title
Case Study 3.3: Active Fixtures for High Precision Positioning of Large Parts for the Windmill Sector
Chapter number 10
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_10
Book ISBNs
978-3-31-945290-6, 978-3-31-945291-3
Authors

Alex Estévez, Germán Rodríguez, Kepa Ayesta

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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 %
Student > Bachelor 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 2 67%
Unknown 1 33%

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