Vibration-Based Smart Sensor for High-Flow Dust Measurement

• Published in: Sensors (Basel, Switzerland) Switzerland), 2023-05, Vol.23 (11), p.5019
• Main Authors: Reñones, Anibal, Vega, Cristina, de la Rosa, Mario
• Format: Article
• Language: English
• Subjects: Accelerometers; Additives; Aggregates; Analysis; Asphalt; Asphalt mixes; automation; Bag house dust; Baghouses; Bituminous materials; Cold; digital transformation; Dust - analysis; Energy; Fillers; Fourier transforms; Gases; Humidity; Hydrocarbons - analysis; industry 4.0; innovation; Laboratories; Manufacturing; Mass flow; Measurement; Neural networks; Pipes; process industry; Sensors; Smart sensors; Vibration; Vibration analysis; Vibration measurement
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s23115019

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.