Experimentation Methodology for Engineers

  • Frank A. Coutelieris
  • Antonios Kanavouras

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the SpringerBriefs in Continuum Mechanics book sub series (BRIEFSCONTINU)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Frank A. Coutelieris, Antonios Kanavouras
    Pages 1-3
  3. Kostas Theologou, Spyridon Stelios, Antonios Kanavouras
    Pages 5-29
  4. Antonios Kanavouras, Frank A. Coutelieris, Kostas Theologou, Spyridon Stelios
    Pages 31-79
  5. Frank A. Coutelieris, Antonios Kanavouras
    Pages 81-105
  6. Antonios Kanavouras, Frank A. Coutelieris, Kostas Theologou, Spyridon Stelios
    Pages 107-111
  7. Frank A. Coutelieris, Antonios Kanavouras
    Pages E1-E1
  8. Back Matter
    Pages 113-115

About this book


This book delivers a methodological approach on the experimentation and/or simulation processes from the disclaiming hypothesis on a physical phenomenon to the validation of the results. The main benefit of the book is that it discusses all the topics related to experimentation and validation of the outcome including state-of-the-art applications and presents important theoretical, mathematical and experimental developments, providing a self-contained major reference that is appealing to both the scientists and the engineers. At the same time, these topics are encountered in a variety of scientific and engineering disciplines.

As a first step, it presents the theoretical and practical implications on the formation of a hypothesis, considering the existing knowledge collection, classification and validation of the particular areas of experimenting interest. Afterwards, the transition from the knowledge classes to the experimentation parameters according to the phenomena evolution contributors and the systemic properties of the descriptors are discussed. The major experimenting requirements focus on the conditions to satisfy a potential disclaim of the initial hypothesis as conditions. Furthermore, the experimentation outcome, as derived via the previous experimentation process set-up, would be validate for the similarities among the existing knowledge and derived new one. The whole methodology offers a powerful tool towards the minimization of research effort wastes, as far as it can identify the lacks of knowledge, thus the areas of interest where the current research has to work on.

The special features of this book are (a) the use of state-of-the-art techniques for the classification of knowledge, (b) the consideration of a realistic systemic world of engineering approached phenomena, (c) the application of advanced mathematical techniques for identifying, describing and testing the similarities in the research results and conclusions, and (d) the experimental investigation of relevant phenomena.


classification matrix engineering assets experimental design human mindset research hypothesis

Authors and affiliations

  • Frank A. Coutelieris
    • 1
  • Antonios Kanavouras
    • 2
  1. 1.Department of Environmental and Natural Resources Management, School of EngineeringUniversity of PatrasAgrinioGreece
  2. 2.Department of Food Science and Human NutritionAgricultural University of AthensAthensGreece

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-72190-3
  • Online ISBN 978-3-319-72191-0
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site
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