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利用示踪剂法对回转窑内废物运动流动参数的研究。

Research on the Flow Parameters of Waste Motion in a Rotary Kiln with the Use of the Tracer Method.

作者信息

Jaworski Tomasz, Wajda Agata

机构信息

Department of Technologies and Installations for Waste Management, Silesian University of Technology, Konarskiego 18, 44-100 Gliwice, Poland.

Institute of Energy and Fuel Processing Technology, Zamkowa 1, 41-803 Zabrze, Poland.

出版信息

Sensors (Basel). 2023 Jul 19;23(14):6526. doi: 10.3390/s23146526.

DOI:10.3390/s23146526
PMID:37514818
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10386271/
Abstract

The motion of input material in a rotary kiln is an important aspect of its operation. This can be observed especially in the case of the implementation of the hazardous waste incineration process in this device. The values of the flow parameters, mainly the residence time and the degree of mixing, can determine the proper and safe treatment of waste. The relationships that occur in the layer of solid material in a rotary kiln have not been completely recognized. This article presents a research method that involves an experiment on a laboratory stand simulating a rotary kiln in association with a dedicated algorithm. Multi-criteria tests were carried out. The adopted research method was the tracer method. It used a tracer which, subject to the same transport conditions as other material particles, provided information on the characteristic of the motion of tested materials in the rotating cylinder. The application based on the residence time distribution (RTD) algorithm returned information about the characteristics of the motion of the material in the rotary cylinder in terms of residence time distribution and the degree of mixing. This tracer method, together with stimulus impulses on the grate and a dedicated RTD algorithm, was used here as a sensor method to examine the characteristics of material motion on various grate systems. The data obtained as a result of this research may include, among others, the boundary conditions for numerical simulations of processes carried out in a rotary kiln.

摘要

回转窑中输入物料的运动是其运行的一个重要方面。这一点在该设备用于危险废物焚烧过程时尤为明显。流动参数的值,主要是停留时间和混合程度,能够决定废物的恰当且安全的处理。回转窑中固体物料层中所发生的关系尚未得到完全认识。本文提出了一种研究方法,该方法涉及在模拟回转窑的实验室试验台上进行实验,并结合一种专用算法。进行了多标准测试。所采用的研究方法是示踪法。它使用一种示踪剂,该示踪剂在与其他物料颗粒相同的输送条件下,提供有关测试物料在旋转筒体内运动特性的信息。基于停留时间分布(RTD)算法的应用返回了关于物料在回转筒体内运动特性的信息,包括停留时间分布和混合程度。这种示踪法,连同在篦板上的刺激脉冲和一种专用的RTD算法,在这里被用作一种传感方法,以研究各种篦板系统上物料运动的特性。这项研究所得的数据可能包括,除其他外,回转窑中进行的过程数值模拟的边界条件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/0bd836bec300/sensors-23-06526-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/70a3132f5afd/sensors-23-06526-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/5b9477f4860b/sensors-23-06526-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/d6cceed6bb6b/sensors-23-06526-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/fb63edc03f7f/sensors-23-06526-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/1f0d9ba788d6/sensors-23-06526-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/5b8ebbd6545b/sensors-23-06526-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/0bd836bec300/sensors-23-06526-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/70a3132f5afd/sensors-23-06526-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/5b9477f4860b/sensors-23-06526-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/d6cceed6bb6b/sensors-23-06526-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/fb63edc03f7f/sensors-23-06526-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/1f0d9ba788d6/sensors-23-06526-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/5b8ebbd6545b/sensors-23-06526-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38a9/10386271/0bd836bec300/sensors-23-06526-g007.jpg

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Materials (Basel). 2022 May 12;15(10):3487. doi: 10.3390/ma15103487.
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Dataset for the simulated biomass pyrolysis in rotary kilns with varying particle residence time distributions.具有不同颗粒停留时间分布的回转窑中模拟生物质热解的数据集。
Data Brief. 2021 Nov 23;39:107603. doi: 10.1016/j.dib.2021.107603. eCollection 2021 Dec.
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A Synchronous Prediction Model Based on Multi-Channel CNN with Moving Window for Coal and Electricity Consumption in Cement Calcination Process.
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Sensors (Basel). 2021 Jun 23;21(13):4284. doi: 10.3390/s21134284.
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Preparation of Cu-Al/SiO Porous Material and Its Effect on NO Decomposition in a Cement Kiln.铜铝/二氧化硅多孔材料的制备及其对水泥窑中一氧化氮分解的影响
Materials (Basel). 2019 Dec 30;13(1):145. doi: 10.3390/ma13010145.
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Mixed Criticality Scheduling for Industrial Wireless Sensor Networks.工业无线传感器网络的混合关键度调度
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