000			02758nam a22003618i 4500
001			CR9781107279124
005			20250919142053.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			141103s2014||||enk o ||1 0|eng|d
020			_a9781107279124 (ebook)
020			_z9781107049697 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aTP155.2.M35 _bR37 2014
082	0	0	_a660 _223
100	1		_aRasmuson, Anders, _d1951- _eauthor.
245	1	0	_aMathematical modeling in chemical engineering / _cAnders Rasmuson, Chalmers University of Technology, Gothenberg, Bengt Andersson, Chalmers University of Technology, Gothenberg, Louise Olsson, Chalmers University of Technology, Gothenberg, Ronnie Andersson, Chalmers University of Technology, Gothenberg.
264		1	_aCambridge : _bCambridge University Press, _c2014.
300			_a1 online resource (x, 183 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	8		_aMachine generated contents note: 1. Introduction; 2. Classification; 3. Model formulation; 4. Empirical model building; 5. Strategies for simplifying mathematical models; 6. Numerical methods; 7. Statistical analysis of mathematical models.
520			_aA solid introduction to mathematical modeling for a range of chemical engineering applications, covering model formulation, simplification and validation. It explains how to describe a physical/chemical reality in mathematical language and how to select the type and degree of sophistication for a model. Model reduction and approximation methods are presented, including dimensional analysis, time constant analysis and asymptotic methods. An overview of solution methods for typical classes of models is given. As final steps in model building, parameter estimation and model validation and assessment are discussed. The reader is given hands-on experience of formulating new models, reducing the models and validating the models. The authors assume the knowledge of basic chemical engineering, in particular transport phenomena, as well as basic mathematics, statistics and programming. The accompanying problems, tutorials, and projects include model formulation at different levels, analysis, parameter estimation and numerical solution.
650		0	_aChemical engineering _xMathematical models.
776	0	8	_iPrint version: _z9781107049697
856	4	0	_uhttps://doi.org/10.1017/CBO9781107279124
907			_a.b16848366 _b2020-12-22 _c2020-12-22
942			_n0
998			_a1 _b2020-12-22 _cm _da _feng _genk _y0 _z.b16848366
999			_c652179 _d652179