000			03752nam a22004095i 4500
999			_c102802 _d102802 _x1
001			102802
003			DE-He213
005			20230102113100.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			180220s2018 gw | s |||| 0|eng d
020			_a9783319721910
024	7		_a10.1007/978-3-319-72191-0 _2doi
040			_bspa _cES-MaUEC _dES-MaUEC
050		4	_aTA157 _b2018 EB
100	1		_aCoutelieris, Frank A. _9673471
245	1	0	_aExperimentation Methodology for Engineers _cby Frank A. Coutelieris, Antonios Kanavouras
264		1	_aCham _bSpringer International Publishing _c2018
300			_a1 recurso en línea (VIII, 115 páginas) _b6 ilustraciones
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aSpringerBriefs in Continuum Mechanics, _x2625-1329
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Fundamentals of phenomena --  Experimenting process --  Experimentation technology -- Modeling of experimentation outcome -- Conclusions & Recommendations. .
520	3		_aThis 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.
988			_aEBSPRINGER_2018
650		7	_2embne _aIngeniería _9670301
650		7	_2embne _9140564 _aIngenieros
700	1		_aKanavouras, Antonios. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut
776	0	8	_iEdición impresa: _z9783319721903
776	0	8	_iEdición impresa: _z9783319721927
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-72191-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2020 _dz _eu _zSI