硫化礦石堆自熱過(guò)程復(fù)雜度變化趨勢(shì)
發(fā)布時(shí)間:2018-11-11 07:41
【摘要】:為揭示硫化礦石堆自熱過(guò)程的突變特性,提出一種基于實(shí)測(cè)溫度數(shù)據(jù)研究礦石堆復(fù)雜度的新方法。以某硫鐵礦礦石樣品為實(shí)驗(yàn)材料,應(yīng)用自主設(shè)計(jì)的實(shí)驗(yàn)裝置,室內(nèi)模擬礦石堆動(dòng)態(tài)自熱過(guò)程。在對(duì)近似熵方法檢測(cè)動(dòng)力學(xué)結(jié)構(gòu)突變的有效性進(jìn)行驗(yàn)證后,應(yīng)用小波技術(shù)與近似熵方法對(duì)自熱過(guò)程中礦石堆的復(fù)雜度進(jìn)行定量分析。研究結(jié)果表明:礦石堆近似熵在0.61~0.90之間,隨著深度的增大,礦石堆復(fù)雜度呈先增大后減小的趨勢(shì);局部區(qū)域的自熱過(guò)程產(chǎn)生了明顯突變,突變溫度介于117.6~121.2℃之間;礦石堆復(fù)雜度變化趨勢(shì)可分為3個(gè)階段:相對(duì)平穩(wěn)階段、逐漸增大階段和逐漸減小階段。在復(fù)雜度逐漸增大階段,礦石堆局部區(qū)域產(chǎn)生了明顯自熱。
[Abstract]:In order to reveal the abrupt characteristics of the self-heating process of sulphide ore stacks, a new method based on the measured temperature data is proposed to study the heap complexity of sulphide ores. A pyrite ore sample was used as the experimental material and a self-designed experimental device was used to simulate the dynamic self-heating process of the ore heap in laboratory. After validating the effectiveness of the approximate entropy method in detecting dynamic structural mutations, wavelet and approximate entropy methods are used to quantitatively analyze the complexity of the ore heap in the process of self-heating. The results show that the approximate entropy of ore heap is between 0.61 and 0.90. With the increase of depth, the complexity of ore heap increases first and then decreases. The spontaneous heating process in the local region has obvious mutation, and the abrupt temperature is between 117.6N and 121.2 鈩,
本文編號(hào):2324204
[Abstract]:In order to reveal the abrupt characteristics of the self-heating process of sulphide ore stacks, a new method based on the measured temperature data is proposed to study the heap complexity of sulphide ores. A pyrite ore sample was used as the experimental material and a self-designed experimental device was used to simulate the dynamic self-heating process of the ore heap in laboratory. After validating the effectiveness of the approximate entropy method in detecting dynamic structural mutations, wavelet and approximate entropy methods are used to quantitatively analyze the complexity of the ore heap in the process of self-heating. The results show that the approximate entropy of ore heap is between 0.61 and 0.90. With the increase of depth, the complexity of ore heap increases first and then decreases. The spontaneous heating process in the local region has obvious mutation, and the abrupt temperature is between 117.6N and 121.2 鈩,
本文編號(hào):2324204
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