Cargando…

Vibration-Based Smart Sensor for High-Flow Dust Measurement

Asphalt mixes comprise aggregates, additives and bitumen. The aggregates are of varying sizes, and the finest category, referred to as sands, encompasses the so-called filler particles present in the mixture, which are smaller than 0.063 mm. As part of the H2020 CAPRI project, the authors present a...

Descripción completa

Detalles Bibliográficos
Autores principales: Reñones, Anibal, Vega, Cristina, de la Rosa, Mario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255535/
https://www.ncbi.nlm.nih.gov/pubmed/37299746
http://dx.doi.org/10.3390/s23115019
_version_ 1785056896483328000
author Reñones, Anibal
Vega, Cristina
de la Rosa, Mario
author_facet Reñones, Anibal
Vega, Cristina
de la Rosa, Mario
author_sort Reñones, Anibal
collection PubMed
description Asphalt mixes comprise aggregates, additives and bitumen. The aggregates are of varying sizes, and the finest category, referred to as sands, encompasses the so-called filler particles present in the mixture, which are smaller than 0.063 mm. As part of the H2020 CAPRI project, the authors present a prototype for measuring filler flow, through vibration analysis. The vibrations are generated by the filler particles crashing to a slim steel bar capable of withstanding the challenging conditions of temperature and pressure within the aspiration pipe of an industrial baghouse. This paper presents a prototype developed to address the need for quantifying the amount of filler in cold aggregates, considering the unavailability of commercially viable sensors suitable for the conditions encountered during asphalt mix production. In laboratory settings, the prototype simulates the aspiration process of a baghouse in an asphalt plant, accurately reproducing particle concentration and mass flow conditions. The experiments performed demonstrate that an accelerometer positioned outside the pipe can replicate the filler flow within the pipe, even when the filler aspiration conditions differ. The obtained results enable extrapolation from the laboratory model to a real-world baghouse model, making it applicable to various aspiration processes, particularly those involving baghouses. Moreover, this paper provides open access to all the data and results used, as part of our commitment to the CAPRI project, with the principles of open science.
format Online
Article
Text
id pubmed-10255535
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-102555352023-06-10 Vibration-Based Smart Sensor for High-Flow Dust Measurement Reñones, Anibal Vega, Cristina de la Rosa, Mario Sensors (Basel) Article Asphalt mixes comprise aggregates, additives and bitumen. The aggregates are of varying sizes, and the finest category, referred to as sands, encompasses the so-called filler particles present in the mixture, which are smaller than 0.063 mm. As part of the H2020 CAPRI project, the authors present a prototype for measuring filler flow, through vibration analysis. The vibrations are generated by the filler particles crashing to a slim steel bar capable of withstanding the challenging conditions of temperature and pressure within the aspiration pipe of an industrial baghouse. This paper presents a prototype developed to address the need for quantifying the amount of filler in cold aggregates, considering the unavailability of commercially viable sensors suitable for the conditions encountered during asphalt mix production. In laboratory settings, the prototype simulates the aspiration process of a baghouse in an asphalt plant, accurately reproducing particle concentration and mass flow conditions. The experiments performed demonstrate that an accelerometer positioned outside the pipe can replicate the filler flow within the pipe, even when the filler aspiration conditions differ. The obtained results enable extrapolation from the laboratory model to a real-world baghouse model, making it applicable to various aspiration processes, particularly those involving baghouses. Moreover, this paper provides open access to all the data and results used, as part of our commitment to the CAPRI project, with the principles of open science. MDPI 2023-05-24 /pmc/articles/PMC10255535/ /pubmed/37299746 http://dx.doi.org/10.3390/s23115019 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Reñones, Anibal
Vega, Cristina
de la Rosa, Mario
Vibration-Based Smart Sensor for High-Flow Dust Measurement
title Vibration-Based Smart Sensor for High-Flow Dust Measurement
title_full Vibration-Based Smart Sensor for High-Flow Dust Measurement
title_fullStr Vibration-Based Smart Sensor for High-Flow Dust Measurement
title_full_unstemmed Vibration-Based Smart Sensor for High-Flow Dust Measurement
title_short Vibration-Based Smart Sensor for High-Flow Dust Measurement
title_sort vibration-based smart sensor for high-flow dust measurement
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10255535/
https://www.ncbi.nlm.nih.gov/pubmed/37299746
http://dx.doi.org/10.3390/s23115019
work_keys_str_mv AT renonesanibal vibrationbasedsmartsensorforhighflowdustmeasurement
AT vegacristina vibrationbasedsmartsensorforhighflowdustmeasurement
AT delarosamario vibrationbasedsmartsensorforhighflowdustmeasurement