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Accuracy and Performance Analysis of Machine Tools

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Metrology

Part of the book series: Precision Manufacturing ((PRECISION))

Abstract

The key to solve manufacturing quality and productivity problems in the machining of parts is to understand the physical attributes’ geometric/kinematic, static, dynamic, and thermal behavior of machine tools. In this chapter basic definitions, error sources, and instruments and methodologies for the identification and evaluation of machine tools’ physical attributes will be outlined.

The first section presents the background and answers “why” it is important to measure and evaluate machine tools under no-load and loaded condition. Basic concepts and definitions of metrological terms will be given. In the second part, error sources in machine tools are introduced, and in the third part, instruments and methodologies for the accuracy evaluation of machine tools will be given.

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Author information

Authors and Affiliations

  1. KTH Royal Institute of Technology, Stockholm, Sweden

    Andreas Archenti & Theodoros Laspas

Authors
  1. Andreas Archenti
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  2. Theodoros Laspas
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Corresponding author

Correspondence to Andreas Archenti .

Editor information

Editors and Affiliations

  1. Department of Nanomechanics, Tohoku University Department of Nanomechanics, Sendai, Miyagi, Japan

    Wei Gao

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© 2019 Springer Nature Singapore Pte Ltd.

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Archenti, A., Laspas, T. (2019). Accuracy and Performance Analysis of Machine Tools. In: Gao, W. (eds) Metrology. Precision Manufacturing. Springer, Singapore. https://doi.org/10.1007/978-981-10-4912-5_7-2

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  • DOI: https://doi.org/10.1007/978-981-10-4912-5_7-2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4912-5

  • Online ISBN: 978-981-10-4912-5

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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Chapter history

  1. Latest

    Accuracy and Performance Analysis of Machine Tools
    Published:
    24 April 2019

    DOI: https://doi.org/10.1007/978-981-10-4912-5_7-2

  2. Original

    Accuracy and Performance Analysis of Machine Tools
    Published:
    31 December 2018

    DOI: https://doi.org/10.1007/978-981-10-4912-5_7-1

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