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Book Cover
E-book
Author Coutelieris, Frank A., author

Title Experimentation methodology for engineers / Frank A. Coutelieris, Antonios Kanavouras
Published Cham, Switzerland : Springer, [2018]
©2018

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Description 1 online resource
Series Springer briefs in applied sciences and technology. Continuum mechanics
SpringerBriefs in applied sciences and technology. Continuum mechanics
Contents Intro; Contents; Marketing Note; 1 Introduction; 2 Unveiling Scientific Knowledge for an Engineering Model; A. The Constituents of Knowledge; B. Science and Scientific Knowledge; The Emergence of the Philosophy of Science: From Kant to Popper and Kuhn; Immanuel Kant (1724â#x80;#x93;1804); Karl Popper (1902â#x80;#x93;1994); Thomas S. Kuhn (1922â#x80;#x93;1996); Imre Lakatos (1922â#x80;#x93;1974); Paul Feyerabend (1924â#x80;#x93;1994); B1. Theory; B2. Experiment; B3. Scientific Truth and Social Construction; C. Modeling and Scientific Representation; Representation; D. The Case of Engineering; References
3 Scientific Researchâ#x80;#x94;Perspective, Awareness and CriticismIntroduction; A. The World of Phenomena; Research as a Concept; The Human Factor; Interpretations and Explanations; Realizing Physical Phenomena; The Essentials for Understanding; The Cycle of Understanding; B. Research in Practice; Creating and Reproducing Phenomena; Experimentation; Literature Search; The Language of Science; the Terms of Truth; Information; Data; Literature Briefs; Engineering of the Experimentation; Research Planning; Experimental Design; Experimental Strategy and Experimental Results; Engineering Based Design
LabEquipment; Tools; Efficiency, Effectiveness, Economy; Results; Engineering; C. Mathematics; Mathematical Modeling; Speculations, Calculations, Models and Approximations; References; 4 On the Development of Engineering Assetsâ#x80;#x94;The MATRIX Scheme; Introduction; Similarity; Theory; Knowledge Classification Scheme; Decisive Rules; The Mathematics of Matrix; Applications of the MATRIX Scheme on Engineering Problems; Application I: Oxidation of Packaged Olive Oil; Application II: Adsorption in Granular Media; Mathematical Proofs; References; 5 Conclusions; Closing Note; Index
Summary 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
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (EBSCO, viewed February 27, 2018)
Subject Engineering -- Methodology
Engineers -- Methodology
Artificial intelligence.
Mathematical physics.
Mathematical modelling.
Mechanics of solids.
TECHNOLOGY & ENGINEERING -- Engineering (General)
TECHNOLOGY & ENGINEERING -- Reference.
Engineering -- Methodology
Form Electronic book
Author Kanavouras, Antonios, author
ISBN 9783319721910
3319721917