Environment International · 2023 · 19 citations · 51 references
Public HealthEnvironmental SciencesMaterials ScienceAdditive ManufacturingAir PollutionEnvironmental Health3D PrintingAir Pollutant EmissionsAir QualityIndoor Air PollutionParticulate MatterVolatile Organic CompoundsChemical Exposure HazardsExposure ScenariosIndoor Voc ExposureParticle Number EmissionsUltrafine ParticlesVolatile Organic Compound ExposureVolatile Organic Compounds EmissionsVolatile Organic Compounds Exposure
Ultrafine particles and volatile organic compounds (VOCs) have been detected from material extrusion 3D printing, which is widely used in non-industrial environments. This study consolidates data of 447 particle emission and 58 VOC emission evaluations from a chamber study using a standardized testing method with various 3D printing scenarios. The interquartile ranges of the observed emission rates were 109 to 1011 #/h for particles and 0.2 to 1.0 mg/h for total VOC. Print material contributed largely to the variations of particle and total VOC emissions and determined the most abundantly emitted VOCs. Printing conditions and filament specifications, included printer brand, print temperature and speed, build plate heating setup, filament brand, color and composite, also affected emissions and resulted in large variations observed in emission profiles. Multiple regression showed that particle emissions were more impacted by various print conditions than VOC emissions. According to indoor exposure modeling, personal and residential exposure scenarios were more likely to result in high exposure levels, often exceeding recommended exposure limits. Hazardous VOCs commonly emitted from 3D printing included aromatics, aldehydes, alcohols, ketones, esters and siloxanes, among which were various carcinogens, irritants and developmental and reproductive toxins. Therefore, 3D printing emits a complex mixture of ultrafine particles and various hazardous chemicals, exposure to which may exceed recommended exposure limits and potentially induce acute, chronic, or developmental health effects for users depending on exposure scenarios.
51
A tutorial on kernel density estimation and recent advances
Yen‐Chi Chen · Biostatistics & Epidemiology · 2017 · 790 citations
Parham Azimi, Dan Zhao, Claire Pouzet et al. · Environmental Science & Technology · 2016 · 371 citations · Full text
Engineering, Environmental Engineering, Manufacturing Engineering +17