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PhD in Numerical Health Assessment of Surface Wear in Mechanical Contacts
在克蘭菲爾德大學
關於課程
The research in this doctoral opportunity will numerical assess single/multiple point wear in mechanical contacts and its relation with airborne friction noise.
Friction noise and wear phenomena are inevitable in machine components even working in normal operational conditions. Surface degradation, at the mechanical contacts due to wear, has an impact on the noise emitted because of the rapid release of energy from localized sources within a material. Severity of surface degradation can change the noise spectrum, and hence an analysis of emitted noise can lead to the possible health diagnosis of machine components.
Researchers have shown the empirical trend modelling between noise signals and the wear in terms of accumulated signal energy and changes in spectrum amplitude. However, due to complexities in wear tribo-mechanics, it is still a challenge to numerically generate friction noise even for a single mechanical contact which is under degradation due to wear phenomenon.
Friction noise and wear phenomena are inevitable in machine components even working in normal operational conditions. Surface degradation, at the mechanical contacts due to wear, has an impact on the noise emitted because of the rapid release of energy from localized sources within a material. Severity of surface degradation can change the noise spectrum, and hence an analysis of emitted noise can lead to the possible health diagnosis of machine components.
Researchers have shown the empirical trend modelling between noise signals and the wear in terms of accumulated signal energy and changes in spectrum amplitude. However, due to complexities in wear tribo-mechanics, it is still a challenge to numerically generate friction noise even for a single mechanical contact which is under degradation due to wear phenomenon.
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開始日期及學費
如何申請
Entry requirements for 克蘭菲爾德大學
A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, and manufacturing) with a minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average
The potential to engage in innovative research and to complete the PhD within a three-year period of study
A minimum of English language proficiency (IELTS overall minimum score of 6.5).
Also, the successful candidate is expected to:
Have excellent analytical, reporting and communication skills
Be self-motivated, independent and team player
Be genuine enthusiasm for the subject and technology
Have the willing to publish research findings in international journal.
If you are an international student you will need to provide evidence that you have achieved a satisfactory test result in an English qualification. Our minimum requirements are as follows:
IELTS Academic - 6.5 overall
TOEFL - 92
Pearson PTE Academic - 65
English language requirements
托福(TOEFL iBT)總分: 92.0
最後申請期限:
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