Skip to main navigationSkip to main content
The University of Southampton

Research project: Adaptive numeric modelling in the production of gas cylinders - Dormant - Dormant

Currently Active: 

Adaptive Numerical Modelling (ANM) may provide a variety of sophisticated modelling tools in materials science, particularly for large, multivariate processing datasets. These methods are data-driven, placing an implicit requirement on data quality. A thorough modelling study should address the suitability of different ANM methods, whilst considering performance against traditional empirical curve fitting.

Throughout this project a blend of various Adaptive Numerical Models (ANM) and experimental methods have been employed to optimise the production of high pressure gas cylinders. More specifically, aspects of transparent methods have been utilised to provide an alloy design model and to correlate production variables to the burst pressure of hybrid composite gas cylinders.

One of the criteria used to assess whether the cylinders are suitable to enter the market is their burst pressure. A set of experiments was designed, developed and executed (at the sponsor's composite cylinder facilities in France) to look at this issue of burst modelling. Burst modelling correlates production variables to the burst pressure of the cylinders and searches for underlying trends. This analysis was carried out by combining computed tomography, image analysis and cylinder bursting with acoustic emission data.

Composite cylinders
Composite cylinders

We also considered the alloy design to try and identify the optimum composition within two aluminium alloy composition spaces in terms of proof strength and fracture toughness. This detailed data gathering was done using Kahn Tear tests.

It was also important to integrate ANM within a manufacturing simulation. A model to optimise the heat treatment processes during the production of aluminium cylinders was set up. This simulation can be used as a data generator, providing inputs to an ANM search method which then allows the inputs to be tuned to optimise performance.

Subsequent follow-on projects with the industrial sponsor, Luxfer Gas Cylinders, are ongoing.

Share this research project Share this on Facebook Share this on Twitter Share this on Weibo
Privacy Settings