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Quality Assurance and Tolerance

  • Book
  • © 1991

Overview

Authors:
  1. Günter Kirschling

    1. Universität Kassel, Melsungen, Germany

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Table of contents (17 chapters)

  1. Front Matter

    Pages I-X
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  2. Introduction

    • Günter Kirschling
    Pages 1-2

  3. Concepts

    • Günter Kirschling
    Pages 3-7

  4. Probability Calculation

    • Günter Kirschling
    Pages 8-10

  5. Probability Distributions of Quantitative Characteristics

    • Günter Kirschling
    Pages 11-27

  6. Mathematical and Graphical Evaluation of Dimensional Series

    • Günter Kirschling
    Pages 28-42

  7. Mixed Distributions

    • Günter Kirschling
    Pages 43-70

  8. Distribution Folds

    • Günter Kirschling
    Pages 71-96

  9. Relationship Between Tolerances and Production Distributions

    • Günter Kirschling
    Pages 97-131

  10. Tolerance Calculation Using Square Law

    • Günter Kirschling
    Pages 132-141

  11. Statistical Calculation of Tolerances of Individual Values with Rectangular Distributions

    • Günter Kirschling
    Pages 142-155

  12. Statistical Tolerance Calculation of Individual Values with Trapezoid Distribution or with Triangular Distribution

    • Günter Kirschling
    Pages 156-175

  13. The Tolerance Model

    • Günter Kirschling
    Pages 176-181

  14. Assessment of Completed Batches and Production Batches

    • Günter Kirschling
    Pages 182-228

  15. Process Analysis and Process Capability

    • Günter Kirschling
    Pages 229-256

  16. Process Control

    • Günter Kirschling
    Pages 257-317

  17. Bibliography

    • Günter Kirschling
    Pages 318-320

  18. Appendix

    • Günter Kirschling
    Pages 321-330

  19. Back Matter

    Pages 331-335
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Keywords

About this book

It is in general not possible to produce technical products having precisely predefined measures. Systematic and random deviations from nominal size cannot be avoided, and it is therefore necessary to define measurement tolerances. This book offers a comprehensive presentation of tolerance problems and their solution by statistical methods. All calculated solutions are presented in clear figure or graphical form. It is particularly appropriate for those working in the field of development and construction or in production and quality control, especially in mechanical engineering and related fields.

Authors and Affiliations

  • Universität Kassel, Melsungen, Germany

    Günter Kirschling

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