Treffer: Computer aided engineering : the setting up of a computer simulation laboratory at the Department of Mechanical Engineering, Faculty of Engineering, University of Malta

Title:
Computer aided engineering : the setting up of a computer simulation laboratory at the Department of Mechanical Engineering, Faculty of Engineering, University of Malta
Publisher Information:
Malta Chamber of Engineers
Publication Year:
2012
Collection:
University of Malta: OAR@UM / L-Università ta' Malta
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
English
Relation:
Mollicone, P. (2012). Computer aided engineering: the setting up of a computer simulation laboratory at the Department of Mechanical Engineering, Faculty of Engineering, University of Malta. Engineering Today, Chamber of Engineers, 41, pp. 33, 35, 37.; https://www.um.edu.mt/library/oar/handle/123456789/90658
Rights:
info:eu-repo/semantics/closedAccess ; The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder.
Accession Number:
edsbas.E8C2A9F1
Database:
BASE

Weitere Informationen

Every profession has its necessary evil. Mathematics might arguably be the one for engineers, Engineers want to design, build and maintain complex systems and in order to do this there is always a recurring step that needs to be taken: to predict the behaviour of the chosen design. Protoyping and testing is undoubtedly essential, however there will always be a point when the engineer will have to get an estimate without a test, or at least an extrapolation based on the test. This is when the evil becomes a necessity: the somewhat abstract mathematical notions can take up practical meaning and become the only tool to obtain data. Mathematical and physical understanding of the problem is certainly a limitation when modelling, but there is one simple trick that can help in passing the hurdle: if the problem is too large and complex, it can be split it up into smaller manaqeable ones for which the available physical assumptions can be used and which can hence be solved. The downside to this? Smaller domains mean more donkey work, or number crunching: luckily computers can take care of this. [Excerpt] ; N/A