|
Digital
Library of the European Council for Modelling and Simulation |
Title: |
Intelligent
Computer-Automated Crane Design Using An Online Crane Prototyping Tool |
Authors: |
Ibrahim A. Hameed,
Robin T. Bye, Ottar L. Osen,
Birger Skogeng Pedersen,
Hans Georg Schaathun |
Published in: |
(2016).ECMS 2016 Proceedings edited
by: Thorsen Claus, Frank Herrmann, Michael Manitz, Oliver Rose, European Council for Modeling and
Simulation. doi:10.7148/2016 ISBN:
978-0-9932440-2-5 30th
European Conference on Modelling and Simulation, Regensburg Germany, May 31st
– June 3rd, 2016 |
Citation
format: |
Ibrahim A. Hameed,
Robin T. Bye, Ottar L. Osen,
Birger Skogeng Pedersen,
Hans Georg Schaathun (2016). Intelligent
Computer-Automated Crane Design Using An Online Crane Prototyping Tool, ECMS
2016 Proceedings edited by: Thorsten Claus, Frank Herrmann, Michael Manitz, Oliver Rose European Council for Modeling
and Simulation. doi:10.7148/2016-0564 |
DOI: |
http://dx.doi.org/10.7148/2016-0564 |
Abstract: |
In an accompanying paper submitted
concurrently to this conference, we present our first complete version of a
generic and modular software framework for intelligent computer-automated
product design. The framework has been implemented with a client-server
software architecture that automates the design of offshore cranes. The framework
was demonstrated by means of a case study where we used a genetic algorithm
(GA) to optimise the crane design of a real and
delivered knuckleboom crane. For the chosen
objective function, the optimised crane design
outperformed the real crane. In this paper, we augment our aforementioned
case study by implementing a new crane optimisation
client in Matlab that uses a GA both for optimising a set of objective functions and for
multi-objective optimisation. Communicating with an
online crane prototyping tool, the optimisation
client and its GA are able to optimise crane
designs with respect to two selected design criteria: the maximum safe
working load and the total crane weight. Our work demonstrates the modularity
of the software framework as well as the viability of our approach for
intelligent computer-automated design, whilst the results are valuable for
informing future directions of our research. |
Full
text: |