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田口方法在通过将瓷砖研磨污泥与水库沉积物混合来优化生产轻质骨料工艺参数中的应用。

Application of the Taguchi Method for Optimizing the Process Parameters of Producing Lightweight Aggregates by Incorporating Tile Grinding Sludge with Reservoir Sediments.

作者信息

Chen How-Ji, Chang Sheng-Nan, Tang Chao-Wei

机构信息

Department of Civil Engineering, National Chung-Hsing University, No. 250, Kuo Kuang Road, Taichung 402, Taiwan.

Department of Civil Engineering & Geomatics, Cheng Shiu University, No. 840, Chengcing Rd., Niaosong District, Kaohsiung 83347, Taiwan.

出版信息

Materials (Basel). 2017 Nov 10;10(11):1294. doi: 10.3390/ma10111294.

DOI:10.3390/ma10111294
PMID:29125576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5706241/
Abstract

This study aimed to apply the Taguchi optimization technique to determine the process conditions for producing synthetic lightweight aggregate (LWA) by incorporating tile grinding sludge powder with reservoir sediments. An orthogonal array (4⁵) was adopted, which consisted of five controllable four-level factors (i.e., sludge content, preheat temperature, preheat time, sintering temperature, and sintering time). Moreover, the analysis of variance method was used to explore the effects of the experimental factors on the particle density, water absorption, bloating ratio, and loss on ignition of the produced LWA. Overall, the produced aggregates had particle densities ranging from 0.43 to 2.1 g/cm³ and water absorption ranging from 0.6% to 13.4%. These values are comparable to the requirements for ordinary and high-performance LWAs. The results indicated that it is considerably feasible to produce high-performance LWA by incorporating tile grinding sludge with reservoir sediments.

摘要

本研究旨在应用田口优化技术,确定通过将瓷砖研磨污泥粉与水库沉积物混合来生产合成轻骨料(LWA)的工艺条件。采用了一个正交表(4⁵),它由五个可控的四级因素组成(即污泥含量、预热温度、预热时间、烧结温度和烧结时间)。此外,使用方差分析法来探究实验因素对所生产的轻骨料的颗粒密度、吸水率、膨胀率和烧失量的影响。总体而言,所生产的骨料颗粒密度在0.43至2.1 g/cm³之间,吸水率在0.6%至13.4%之间。这些数值与普通和高性能轻骨料的要求相当。结果表明,通过将瓷砖研磨污泥与水库沉积物混合来生产高性能轻骨料是相当可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/e49d00065b00/materials-10-01294-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/cf86c92f1965/materials-10-01294-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/e49d00065b00/materials-10-01294-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/cf86c92f1965/materials-10-01294-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/964f03152191/materials-10-01294-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/440780078e2f/materials-10-01294-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/82d3e2e16ecf/materials-10-01294-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/2338d4eb40d9/materials-10-01294-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/d5ce8711a552/materials-10-01294-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9026/5706241/e49d00065b00/materials-10-01294-g008.jpg

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