# Publicaties

## Hybrid spatial uncertainty analysis for the estimation of imprecise failure probabilities in Laser Sintered PA-12 parts KU Leuven

This paper presents the application of non-deterministic modelling techniques for the quantification of imprecise failure probabilities in PA-12 parts produced via Laser Sintering (LS). Specifically, a modelling approach consisting of a combination of interval and random fields is applied, and the effect hereof on the resulting polymorphic uncertainty in the mechanical performance of the LS parts is studied. A link with the underlying process ...

## Experimental performance comparison and optical characteristics of aperture mechanisms for solar cavity receivers KU Leuven

© 2019 International Solar Energy Society Dynamic control of solar thermal processes is a critical bottleneck demanding to be addressed for the development of viable alternatives to traditional industrial processes that rely on high temperature process heat from fossil fuel combustion. Current technologies possess various concentrated solar power (CSP) control strategies to compensate for natural fluctuations of solar irradiation while some of ...

## An experimental study on temperature control of a solar receiver under transient solar load KU Leuven

© 2019 International Solar Energy Society Solar thermochemical process technology has great potential to store solar energy as chemical fuels, however, there remain several challenges that have hindered its industrial commercialization. One of the main challenges is the transient nature of solar energy which causes instability and reduces the efficiency of the process. A promising solution to cope with this problem is to use a variable aperture ...

## A machine learning approach for the inverse quantification of set-theoretical uncertainty KU Leuven

This paper introduces a machine learning approach for the inverse quantification of set-theoretical uncertainty. Inverse uncertainty quantification (e.g., following Bayesian or interval methodologies) is usually obtained following a process where a distance metric between a set of predicted and measured model responses is iteratively minimized. Consequently, the corresponding computational effort is large and usually unpredictable. Furthermore, ...

## Inverse quantification of epistemic uncertainty under scarce data: Bayesian or Interval approach? KU Leuven

## Multivariate dependent interval finite element analysis via convex hull pair constructions and the Extended Transformation Method KU Leuven

Classical (independent) interval analysis considers a hyper-cubic input space consisting of independent intervals. This stems from the inability of intervals to model dependence and results in a serious over-conservatism when no physical guarantee of independence of these parameters exists. In a spatial context, dependence of one model parameter over the model domain is usually modelled using a series expansion over a set of basis functions that ...

## A multivariate interval approach for inverse uncertainty quantification with limited experimental data KU Leuven

This paper introduces an improved version of a novel inverse approach for the quantification of multivariate interval uncertainty for high dimensional models under scarce data availability.Furthermore, a conceptual and practical comparison of the method with the well-established probabilistic framework of Bayesian model updating via Transitional Markov Chain Monte Carlo is presented in the context of the DLR-AIRMOD test structure. First, it is ...

## Breakout analysis of plastic material jetted moulds for injection moulding KU Leuven

Additive Manufactured plastic moulds for injection moulding produced by vat photopolymerization or material jetting are gaining interest in the industry, because they can be used to produce inexpensive inserts overnight. As a trade-off these inserts can only be used for small series of about 100 parts or less. Many technology providers simplify the expected number of shots by defining different material categories going from easy to mould ...