Liquid injection moulding is a commonly used process for manufacturing composites parts using short fibres. However, the processing/flow behaviour of these processes are really complicated and has not been well-understood yet. In this process, when we selecting a runner system we have to consider the part quality as a major concern. However, most of the companies do not have any basic workflow to identify the optimal point systematically. Hence, this project is aim to identify optimum parameters (listed below) for injection moulding.
- Shear rate
- Injection speed
- Injection time
- Holding time
- Holding pressure.
- Cooling time
After identifying/selecting optimum process parameters, the shrinkage/deformation or warp of the parts should be considered. Here, it is expected to estimate the possible models/levels of shrinkage. Then, maintaining the proper tool allowances should be considered. Ideally, tools should be adjusted with no much effort and also economically. Moreover, the necessity of an unwarping tool will also be explored.
Initially, the process should be modelled using suitable computation/numerical tools and then the models developed should be validated via proper piratical experiments and also with the data reported in the literature.
Admissions requirements
Students with a First class/2.1 degree in Materials Science, Physics, Mathematics or an aligned Engineering subject are encouraged to apply. An MSc in a related filed would also be acceptable. Experience in MATLAB, ABACUS, C++ or any other programming languages and modelling would also be preferable. Also, an MSc and/or publications in a relevant filed should also be useful.
Equality, diversity and inclusion is fundamental to the success of The University of Manchester, and is at the heart of all of our activities. We know that diversity strengthens our research community, leading to enhanced research creativity, productivity and quality, and societal and economic impact. We actively encourage applicants from diverse career paths and backgrounds and from all sections of the community, regardless of age, disability, ethnicity, gender, gender expression, sexual orientation and transgender status.
We also support applications from those returning from a career break or other roles. We consider offering flexible study arrangements (including part-time: 50%, 60% or 80%, depending on the project/funder).
All appointments are made on merit.
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