Multi-scale modelling of fused deposition 3D printing processes

Job title:

Multi-scale modelling of fused deposition 3D printing processes

Company:

Job description

Offer DescriptionOutline: Fused Filament/Pellet Fabrication (FFF/FPF) is one of the best-known 3D printing techniques for the production of thermoplastic components. It is based on thermal energy driven material extrusion and is used to manufacture parts with complex, unique geometries in small series, as well as in large volumes. In the Advanced Manufacturing Lab (AML) of KU Leuven, campus de Nayer, a model to predict and simulate the build temperature of FFF/FPF printed parts has been developed [doi:10.1007/s40964-022-00271-0]. This code, named T4F3: Temperature for Fused Filament Fabrication, has been successfully applied to simulate thermal evolution in products during the print process under various conditions. The model can be used to predict critical reheating temperatures for high-quality and optimise the print process of PLA (polylactic acid) and other polymers, parts. [ ]
Content:The objective of this PhD is to develop a multiscale model for part and process simulation including coding and modelling of the mechanical bond quality. The key component is the coupling of the micro-scale polymer bond kinetics to the mesoscale bond strength and performance. To reach this objective, the KU Leuven T4F3 model will be integrated into the currently available Finite Element-based simulation environment of TU Eindhoven, which allows the mechanical analysis of print processes of larger parts, including thermal boundary conditions. The result will then be further extended and validated for free-form geometries and relevant shapes for the industry partners in the project (such as cylindrical and long bar-shaped designs). The bond development (kinetics, morphology, strength) will be studied under various thermal processes, including isothermal and non-isothermal processes above the glass transition temperature of an amorphous and/or semicrystalline thermoplastic material. Eventually, a theory of local bond quality will be achieved for an arbitrary temperature history typical in FFF/FPF printed parts. Experimental work (to be done by a colleague) will provide input to the model and will be used for model validation.RequirementsResearch Field Engineering Education Level Master Degree or equivalentLanguages ENGLISH Level ExcellentResearch Field Engineering Years of Research Experience NoneAdditional InformationBenefits● a joint Ph.D. fellowship with the university of KU Leuven and TU Eindhoven for the duration of a maximum of 4 years at a competitive salary. ● A challenging project with a very large industrial exploitation potential ●A multidisciplinary training and international working environment● A highly valued academic environment and multi-cultural working groupEligibility criteria● A Master’s degree in Science or Engineering with a background in Mechanical Engineering or Material Engineering or Chemical Engineering or Computer Science, or Applied Physics or Aerospace Engineering… or an equivalent Master’s degree. ● The candidate preferably has a background modelling with interest in manufacturing and/or polymer processing, but eagerness to learn is certainly just as important. Understanding thermal transfer mechanisms is considered an added value.● Graduation with distinction is a requirement to start the PhD● Proficiency in the programming languages for scientific computing such as Python, Matlab and/or C++.● Expertise in additive manufacturing with focus on fused filament fabrication (FFF) is a plus. ● Being fluent in English (both speaking and writing) is a must ● You are creative and a team worker ● You are curious, and application driven with an interest in science and technologySelection processFor more information please contact Prof. dr. ir. Eleonora Ferraris ( , +3215316944) or Dr. Ir. Joris Remmers ( , +31402473175).You can apply for this job no later than April 30, 2024 via the online application tool:Please, provide your CV, motivation letter, and transcripts. Highlight in your CV the relevant expertise matching the demanded background as described above. Hence, indicate your knowledge in FFF and/or filament extrusion and/or numerical modelling. Also, indicate how you have distinguished yourself during your academic career until now. Clearly list your GPA (and GPA ranking if available), your (journal) publications as first author, talks or research grants/scholarships, if any.
KU Leuven and TU Eindhoven seek to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at .
You can apply for this job no later than 30/04/2024 via theWork Location(s)Number of offers available 1 Company/Institute KU Leuven Country Belgium State/Province Antwerpen City Sint-Katelijne-Waver Postal Code 2860 Street Sint-Katelijne-WaverWhere to apply WebsiteContact State/ProvinceSint-Katelijne-Waver CityAntwerpen StreetSint-Katelijne-Waver Postal Code2860STATUS: EXPIRED

Expected salary

Location

Wavre-Sainte-Catherine, Anvers

Job date

Sat, 30 Mar 2024 07:51:05 GMT

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