Print Email Facebook Twitter A nanomaterial release model for waste shredding using a Bayesian belief network Title A nanomaterial release model for waste shredding using a Bayesian belief network Author Shandilya, N. Ligthart, T. van Voorde, I. Stahlmecke, B. Clavaguera, S. Philippot, C. Goede, H. Publication year 2018 Abstract The shredding of waste of electrical and electronic equipment (WEEE) and other products, incorporated with nanomaterials, can lead to a substantial release of nanomaterials. Considering the uncertainty, complexity, and scarcity of experimental data on release, we present the development of a Bayesian belief network (BBN) model. This baseline model aims to give a first prediction of the release ofnanomaterials (excluding nanofibers) during their mechanical shredding. With a focus on the description of the model development methodology, we characterize nanomaterial release in terms of number, size, mass, and composition of released particles. Through a sensitivity analysis of the model, we find the material-specific parameters like affinity of nanomaterials to the matrix of the composite and their state of dispersion inside the matrix to reduce the nanomaterial release up to 50%. The shredderspecific parameters like number of shafts in a shredder and input and output size of the material for shredding could minimize it up to 98%. The comparison with two experimental test cases shows promising outcome on the prediction capacity of the model. As additional experimental data on nanomaterial release becomes available, the model is able to further adapt and update risk forecasts. When adapting the model with additional expert beliefs, experts should be selected using criteria, e.g., substantial contribution to nanomaterial and/or particulate matter releaserelated scientific literature, the capacity and willingness to contribute to further development of the BBN model, and openness to accepting deviating opinions. Subject LifeRAPID - Risk Analysis for Products in Development MO - Military Operations CAS - Climate, Air and SustainabilityELSS - Earth, Life and Social SciencesFood and NutritionGeosciencesHealthy LivingBayesian belief networkShreddingRecyclingReleaseNanomaterialEnvironmental risk assessmentBarium compoundsDispersionsElectronic equipmentFlame retardantsForecastingMatrix algebraNanostructured materialsOscillators (electronic)Risk assessmentSensitivity analysisEnvironmental risk assessmentMechanical shreddingNanomaterial releaseParticulate MatterReleaseScientific literatureWaste of electrical and electronic equipmentsBayesian networks To reference this document use: http://resolver.tudelft.nl/uuid:b574a293-7dca-4572-83b2-554aa844313d DOI https://doi.org/10.1007/s11051-018-4137-2 TNO identifier 787171 Source Journal of Nanoparticle Research, 20 (2) Article number 33 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.