Mathematical modelling

• Verfasst von: Borkar, Kanchan [VerfasserIn]
• Verfasst von: Modak, Jayant [VerfasserIn]
• Verfasst von: Belkhode, Pramod [VerfasserIn]
• Verfasst von: Maheshwary, Prashant [VerfasserIn]
• Titel: Mathematical modelling
• Titelzusatz: simulation analysis and industrial applications
• Verf.angabe: Kanchan Borkar, J.P. Modak, Pramod Belkhode, Prashant Maheshwary
• Verlagsort: Boca Raton
• Verlag: CRC Press
• Jahr: 2023
• Umfang: 1 online resource (240 pages)
• Illustrationen: illustrations (black and white).
• Fussnoten: Print version record
• ISBN: 978-1-003-31869-9
• ISBN: 1-003-31869-X
• ISBN: 978-1-000-84015-5
• ISBN: 1-000-84015-8
• ISBN: 1-000-84009-3
• ISBN: 978-1-000-84009-4
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Méthodes de simulation
• Sach-SW: simulation methods
• Sach-SW: TECHNOLOGY / Manufacturing
• Sach-SW: MATHEMATICS / Mathematical Analysis
• Sach-SW: TECHNOLOGY / Engineering / Mechanical
• Sach-SW: Simulation methods
• K10plus-PPN: 1871288274
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4418446958
• Lokale URL Inst.: Zum Volltext

Abstract

This book investigates human-machine systems through the use of case studies such as crankshaft maintenance, liner piston maintenance, and biodiesel blend performance. Through mathematical modelling and using various case studies, the book provides an understanding of how a mathematical modelling approach can assist in working out problems in any industrial-oriented activity. Mathematical Modelling: Simulation Analysis and Industrial Applications details a data analysis approach using mathematical modelling sensitivity. This approach helps in the processing of any type of data and can predict the result so that based on the result, the activity can be controlled by knowing the most influencing variables or parameters involved in the phenomenon. This book helps to solve field and experimental problems of any research activity using a data-based modelling concept to assist in solving any type of problem. Students in manufacturing, mechanical, and industrial engineering programs will find this book very useful. This topic has continued to advance and incorporate new concepts so that the manufacturing field continues to be a dynamic and exciting field of study.