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Internship: Reliability prediction and analysis of a hydrogen storage system

DATE2019-11-21
JOBFAMILIERESEARCH & INNOVATION
LANDBelgium
LOCATIONDELTATECH
CONTRACT TYPEApprentice
DIVISION Clean Energy Systems

Do you want challenges? Join the automotive revolution in a group that puts innovation at the heart of its strategy.

With 33,000 employees in 31 countries and a turnover of 8 billion euros in 2017, Plastic Omnium is the world leader in intelligent automotive exterior systems, clean energy systems and complex modules.

The Clean Energy Systems Division is the world leader in energy storage systems. It employs 7,500 people in 36 industrial sites.

Our ambition? Provide automotive manufacturers with advanced equipment and solutions to develop the clean and connected car of tomorrow.

Context
Besides the fuel systems, Clean Energy Systems is one of the main suppliers of depollution systems.  Research programs as well as development programs specific to new vehicles move forward to answer as quickly as possible the new requests of the market, in the core business of the Division (Fuel systems and Depollution), but also in new energy solutions.- hydrogen storage and fuel cells.

The Research Center of Plastic Omnium located in Brussels is fully dedicated to innovations in those three lines of products.

Objective of the internship 
A reliability prediction is performed in the early stages of development program to support the design process. A well-done prediction provides an awareness of potential equipment degradation during the system life cycle. 
Plastic Omnium Advanced Innovation & Research is looking for a motivated trainee, to perform a reliability prediction and analysis of a hydrogen storage system. As a result of this study, the system design can be improved, costly over-designs prevented and development testing time optimized.
The trainee will use the approach described in “Handbook of reliability prediction procedures for mechanical equipment”. This approach considers the material properties, operating environment and critical failure modes at the component level. Basic mechanical components have been identified for which reliability prediction equations have been developed. All mechanical equipment is composed of some combination of these components. A designer can utilize the equations to determine individual component reliability and then combine the results in accordance with the system reliability diagram to determine total system reliability in its operating environment. 

Background 
Master in Mechanical or mechatronic engineering
Know-how - prerequisites 
Reliability diagram 
FMEA/FTA knowledge is plus 
Fluent in English
High level of initiative, good communication skills
Ms Office
 
Requirement: EU citizenship

Contac
Gwendolyne.orchard@plasticomnium.com

 

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