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  • Format: ePub

Demystifying Numerical Models: Step-by Step Modeling of Engineering Systems is the perfect guide on the analytic concepts of engineering components and systems. In simplified terms, the book focuses on engineering characteristics and behaviors using numerical methods. Readers will learn how the computational aspects of engineering analysis can be applied to develop various engineering systems to a level that is fit for implementation.
Provides numerical examples and graphical representations of complex mathematical models | Includes downloadable spreadsheets of the numerical tools
…mehr

Produktbeschreibung
Demystifying Numerical Models: Step-by Step Modeling of Engineering Systems is the perfect guide on the analytic concepts of engineering components and systems. In simplified terms, the book focuses on engineering characteristics and behaviors using numerical methods. Readers will learn how the computational aspects of engineering analysis can be applied to develop various engineering systems to a level that is fit for implementation.

  • Provides numerical examples and graphical representations of complex mathematical models
  • Includes downloadable spreadsheets of the numerical tools discussed that allow the reader to gain a hands-on understanding of how they work
  • Explains the engineering foundations behind the increasingly widespread and complex numerical models

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Dr. John P.T. Mo is Professor of Manufacturing Engineering and former Discipline Head of Manufacturing and Materials at RMIT University. Prior to joining RMIT, he was Senior Principal Research Scientist in Commonwealth Scientific and Industrial Research Organisation (CSIRO) and led several teams including Manufacturing Systems and Infrastructure Network Systems in the Division of Manufacturing and Infrastructure Technology. His expertise includes system integration and analysis, data communication, sensing and signal diagnostics. In his 11 years in CSIRO, he led a team of professional research staff worked on risks analysis algorithms, electricity market simulation, wireless communication, fault detection and production scheduling. He was the project leader for many large scale government projects including productivity improvement in furnishing industry and consumer goods supply chain integration.