Authors:
Gabriele Milani
1
and
Federico Milani
2
Affiliations:
1
Technical University in Milan, Italy
;
2
CHEM.CO Consultant, Italy
Keyword(s):
Power Cables Production Lines, Steam Curing, FE Evaluation of Temperature Profiles, Genetic Algorithm.
Related
Ontology
Subjects/Areas/Topics:
Application Domains
;
Case Studies
;
Chemical and Petroleum Engineering
;
Computer Simulation Techniques
;
Formal Methods
;
Health Engineering and Technology Applications
;
Industrial Processes
;
Mathematical Simulation
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Optimization Issues
;
Plant Simulation
;
Simulation and Modeling
;
Simulation Tools and Platforms
Abstract:
A comprehensive combined numerical model based on Genetic Algorithm (GA) optimization and heat transfer Finite Element computations is presented. The numerical analyses are carried out to evaluate the final crosslinking degree of a medium voltage electric cable subjected to industrial peroxide reticulation. The final task is to minimize the difference between numerically predicted and experimentally determined crosslinking degree along the thickness of the insulator, when a variable steam temperature profile along the pipe length is assumed to explain the unexpected under-vulcanization of the cable in the internal layers. To minimize the gap between experimentally determined curing degree and numerical predictions, a Genetic Algorithm (GA) optimization is used.