PHD THESIS: FAILURE MODE OPERATIONS OF WASTE HEAT RECOVERY SYSTEMS

Looking for continuity in your university education? Are you full of curiosity and still hungering for knowledge in particular in the automotive field? At Volvo we are developing leading edge technologies and want to encourage that culture. If you feel motivated in developing technologies that will have an impact in our society then we are hoping you to join our team.

  • THIS IS US, YOUR NEW COLLEAGUES

The team you will be part of is responsible of delivering simulation and combustion systems to the Volvo group. It also embraces novel powertrain technology developments such as waste heat recovery systems. Expertise of that technology is part of the DNA in that team. The team is delighted to support and guide you in particular in the simulation, control algorithm and testing activities to help you making a strong PhD contribution in the field of investigation.

  • SUBJECT DESCRIPTION

With the reinforcement of CO2 emission legislation, waste heat recovery systems are considered as possible solutions to further improve truck fuel consumption. The organic Rankine cycle is considered as one of these promising solutions.
Such a system will have to be safe and reliable as the rest of the truck and comply with a continuous On board Diagnostic (OBD) monitoring, with a limited amount of sensor and high level of quality (fault frequency level must be low) as well as a limited software complexity. It is thus of high importance to better understand the system behavior in degraded operation.
In that context, Volvo wants to propose a PhD thesis.
In a first part, the thesis student will make a deep analysis of the Rankine system behavior and its various failure modes (fluid leakage, component failures, component manufacturing variability). The literature review shall allow him (her) to understand what kind of diagnostic algorithm exists in the Rankine system field and various applications to evaluate analogies (automotive air conditioning, gas driven powertrains, fuel cells, industrial, marine, etc). A deeper understanding of subjects (not exhaustive) like fault detection, diagnostic levels, system sensor uncertainties, component production and performance variability shall be evaluated in the literature review.
The thesis student will then participate in improving further Failure Mode Examination and Effect Analysis (FMEA), and structuring and developing on board diagnostics algorithms to better understand trade-offs existing between fault detection, accuracy level of diagnostics and measurement sensitivity. Identification of the system and its internal state variables in normal and degraded operation must be evaluated. Degraded operations could result from failure modes of any component and sub-components, ageing of the complete system, fluid leakage, safety protection and production variability. Improvement of existing modeling, detection algorithms, control algorithms are example ways of doing that and must be proposed. As main contribution, the candidate shall bring innovative algorithms that enable to better distinguish and identify various failure modes that could arise (during system standby and/or truck moving). The assessment of the computational time in the Volvo platform Environnement will be assessed. Also diagnostics in end line assembly chain system checks are to be considered.
A Rankine system bench already developed by Volvo can be considered as a way to validate the most promising algorithms. Modification/ adaptation of the existing bench are considered as the most plausible way of validating experimentally models/ algorithms. The candidate is expected to participate actively in these experimental validations.
In the end, the thesis student will contribute to a scientific work that is novel in field of automotive Rankine cycle waste heat recovery.
As part of the mission and its PHD, the student will be encouraged to make mentoring of internships.

  • WHO ARE YOU? (REQUIRED KNOWLEDGE/EXPERIENCE)

High level of engineering skills (Master’s degree minimum) in the field of energetics, thermal engineering (thermodynamic, heat transfer in two phase change, thermal machines).
Good Knowledge and practice of Matlab/ Simulink environment (programming) or other equivalent scripting language.
Knowledge in the numerical methods.
Good at communicating and analytical mind.
Professional English.

Nice to have

Experience on Rankine system waste heat recovery systems (internship).
Experience in the automotive OBD (on board diagnostic) field.
Experience on failure mode and effect analyses.


Over ons

Le groupe Volvo est l'un des principaux constructeurs au monde de camions, d'autobus, d'engins de chantier et de moteurs marins et industriels, commercialisés sous les marques Volvo, Renault Trucks, Mack, UD Trucks, Eicher, SDLG, Terex Trucks, Prevost, Nova Bus, UD Bus et Volvo Penta.

Volvo Group Trucks Technology propose des services de recherche de pointe, d'ingénierie dernier cri, de planification des produits, d'achat et de support après-vente à Volvo Group Trucks et aux Business Areas. Au sein de Volvo Group Trucks Technology, vous ferez partie d'une équipe diversifiée et internationale de professionnels hautement qualifiés qui travaillent avec passion, se font mutuellement confiance et sont ouverts au changement pour garder une longueur d'avance. Nous faisons gagner nos clients.

We willen u leren kennen

Sollicitatie procedure

Solliciteren

zodra u uw inschrijving bevestigt, zal u een bevestigingsmail ontvangen. Hierna is het nog steeds mogelijk om uw profiel aan te passen.

Interview

Als u geselecteerd wordt voor een interview, zal u over de volgende stappen worden geïnformeerd: een tweede interview, assessments en referenties.

Selectie

Alle kandidaten worden op de hoogte gebracht wanneer een kandidaat voor de functie wordt geselecteerd. U kunt ervoor kiezen dat wij uw cv in onze database bewaren en u kunt een zoekagent activeren die op zoek gaat naar andere vacatures die overeenstemmen met uw profiel.

Introductie

Wanneer u start, ontvangt u een introductie om snel deel uit te maken van het team en uw nieuwe job te starten op de best mogelijke manier.

Getuigenissen

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