KU Leuven K

Maakprocessen en -Systemen (MaPS), Campus GroepT Leuven (BB-17813)

Trouvé dans: Xpatjobs BE

The Manufacturing Processes and Systems (MaPS) group at the Department of Mechanical Engineering of KU Leuven, stands for the study of techniques, methods and devices that are used to manufacture parts of products and systems based on in-depth knowledge of the material-tool interaction and derived machine structures. Systematic data monitoring, analysis and management is used in this context, targeting system optimisation. Product specification, modelling, process planning and quality control are integrated aspects of the product-production cycle, for which the sustainability dimension is considered in a life cycle approach. This results in innovative manufacturing processes and systems that are developed in close collaboration with industrial partners. The team of manufacturing metrology research line in the MaPS investigates, develops, optimizes and implements measurement solutions for manufacturing quality control. The groups expertise covers surface and 3D coordinate metrology using tactile and optical probes as well as X-ray Computed Tomography (CT).

Successful candidates:

  • hold a masters in engineering science, computer science or engineering technology or any other comparable study with a solid mathematical background,
  • have a profound interest in uncertainty quantification, machine learning and numerical simulation,
  • have a working experience with coding in Matlab/Python/,
  • like to work in a multidisciplinary team of international researchers,
  • have a creative and problem-solving mindset and take initiative to conduct cutting-edge research in close collaboration with industry,
  • are fluent in English (both spoken and written) or willing to improve their language skills.

Any prior experience in the application or development of Monte-Carlo simulation or CT metrology techniques is considered a strong plus.

Further,due to eligibility criteria of the European Commission, following rules have to be taken into account:

  • The candidate must not have resided or carried out his/her main activity (studies etc.) in Belgiumfor more than 12 months in the 3 years immediately prior to his/her recruitment. Short stays, such as holidays, compulsory national services (such as mandatory military service) and procedures for obtaining refugee status under the Geneva Convention are not counted.
  • The ESR shall at the date of recruitment by the host organisation, be in the first four years (full time equivalent research experience) of their research careers and have not been awarded a doctoral degree. The date is measured from the date when a researcher obtained the degree which would formally entitle him or her to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the researcher is recruited, irrespective of whether or not a doctorate is or was ever envisaged.

xCTing is a pan-European industrial-academic initiative committed to the provision of a unique and encompassing training environment required to foster a new generation of innovation-minded research engineers, that will act as catalysts in the further transformation of Europes manufacturing industry towards global technological leadership.

For this ESR project - Determination of task-specific measurement uncertainty caused by geometrical misalignments, the objective is holistic and fast task-specific uncertainty determination. This ESR focusses on the geometrical misalignment related uncertainties. (S)he will use a Monte Carlo approach to simulate misaligned projections and subsequent back-projection of individual CAD-model surface points, which are subsequently recombined to point clouds for corresponding surface fitting. The approach is fundamentally different from state-of-the-art Monte-Carlo-based virtual metrology CT approaches, which necessitate running a complete xCT metrology chain (including simulation of radiographs as well as reconstruction as well as segmentation) for each individual combination of influence factor values.Whereas the latter is already computationally demanding for a single simulation run, combining these steps in a full Monte Carlo approach is computationally excessive and impossible for in-line lot-size-one applications. The proposed method will, therefore, fully limit the Monte Carlo approach to coordinate space by avoiding the time-consuming volumetric reconstruction and segmentation steps, hence allowing uncertainty determination in seconds.

Expected results:

  • Fast Monte-Carlo tool to assess geometric misalignment related uncertainties;
  • Holistic and fast task

calendar_todayil y a 1 jour


location_on Leuven , Flanders, Belgique

work KU Leuven

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