VITRIFICATION OF LIGNITE FLY ASH AND METAL SLAGS FOR THE PRODUCTION OF GLASS AND GLASS CERAMICS

This work focuses on the production of glass and glass-ceramics by using industrial wastes or by-products, e.g., two fly ashes from the combustion of lignite, a slag from the production of Fe-Ni and a slag from the making of steel. Vitrification took place at 1 350°-1450℃ and crystallization was achieved by heat treatment at 900, 950 and 1 000℃. The capability of the waste to be vitrified and subsequently devitrified was determined by XRD techniques. The crystalline phase depends greatly on the structure of the by-product and the heat treatment. The final products showed low leachability and good hardness.     

Prediction and simulation of wear response of Linz–Donawitz (LD) slag filled glass–epoxy composites using neural computation

This article reports on the implementation of a soft computing technique based on artificial neural networks (ANNs) in analyzing the wear performance of a new class of hybrid composites filled with Linz–Donawitz slag (LDS). LDS is a major solid waste generated in huge quantities during steel making. It comes from slag formers such as burned lime/dolomite and from oxidizing of silica, iron etc. while refining the iron into steel in the LD furnace. In this work, hybrid composites consisting of short glass fiber (SGF) reinforced epoxy filled with different LDS content (0, 7.5, 15 and 22.5 wt%) are prepared by simple hand lay‐up technique. Solid particle erosion trials, as per ASTM G 76 test standards, are conducted on the composite samples following a well‐planned experimental schedule based on Taguchi design of experiments. Significant process parameters predominantly influencing the rate of erosion are identified. The study reveals that the LDS content is the most significant among various factors influencing the wear rate of these composites. Further, a model based on ANN for the prediction of erosion performance of these composites is implemented. The ANN prediction profiles for the characteristic wear properties exhibit very good agreement with the measured results demonstrating that a well‐trained network has been created. The simulated results explaining the effect of significant process variables on the wear rate indicate that the trained neural network possesses enough generalization capability of predicting wear rate even beyond the experimental range. Copyright © 2014 John Wiley & Sons, Ltd.     

连铸结晶器内部流场及熔渣卷入的数值模拟

针对连铸结晶器内部流场及熔渣卷入过程 ,提出了两方程k -ε湍流模型和充填法数值计算模型 ,并采用硅油 /水模拟体系代替熔渣 /钢液体系 ,进行了模拟试验和数值计算。对充气造成的浸入式水口水流脉动的影响进行分析。计算结果与试验结果符合良好 ,表明本文所采用的数值模拟方法是适用的     

Catalysts derived from waste slag for transesterification

MgO-CaO/SiO2 solid catalysts derived from waste slag (WS) of metal magnesium plant were prepared. The catalytic performances were evaluated in the transesterification of rapeseed oil with methanol to biodiesel in a 500 mL three-necked reactor under atmospheric pressure. The basic strengh of the catalyst reached 22.0 measured by indicators accroding to Hammett scale. The results show that the MgO-CaO/SiO2 is an excellent catalyst for transesterification, and the conversion of rapeseed oil reach 98% under the optimum condition.     

Suppression of slag foaming by a sound wave

The aim of this work was to study the effects of sound frequency, sound intensity and viscosity of slag on the slag foaming rate and the steady-state foam height. Experiments were carried out using two slags (BaO–B₂O₃) melted at a temperature of 1223 or 1273 K, as well as water–glycerin solutions at room temperature. Low frequency sound waves (<1.3 kHz) are found to be more effective in the slag foaming suppression than high frequency waves (1.3–12 kHz). The steady-state foam height decreases abruptly when the sound pressure reaches a threshold value that depends on sound frequency and liquid viscosity. The results can be explained in terms of enhancing the rates of liquid drainage and film rupture induced by sound.     

Determination and imaging of binder remnants and aggregates in historic cement stone by Raman microscopy

We present to our knowledge the first application of Raman microscopic imaging to cementitious materials. This technique yielded the composition and phase distribution (spatial resolution ≈ 500 nm) in samples of cement stone taken from façade elements of four Swiss buildings covering the period of 1892–1924. Raman maps of Roman cement, a predecessor of modern Portland cement, reveal the chemical heterogeneity of clinker remnants consisting of various crystalline, polymorphic, and amorphous phases and visualize different crystal orientations. Our findings include the observation of the γ‐polymorph of Ca₂SiO₄ – previously, only detected in Portland cement – and Raman spectra of calcium aluminate (ferrite) interstitial phases in Roman cement showing significant differences to the corresponding phases in Portland cement clinker. Furthermore, calcite, vaterite, gypsum, and ettringite were identified in the rim of a nonhydrated residual nodule. Beyond binder remnants, aggregates in the form of spherical (≤500 µm diameter) slag and irregularly shaped pigment particles were analyzed. Here, we focused on the unambiguous identification of compounds in complex matrices by comparing sample spectra with database and own reference spectra. A Raman map collected on blast furnace slag in cement stone shows the spatial distribution of calcite, quartz glass and pyrite. Furthermore, several Fe‐containing, Si‐containing, and Pb‐containing phases were identified. The analysis of pigments partly confirmed and partly contradicted the bequeathed historic recipe of a cement stone façade. These results have direct implications in the field of conservation and restoration and generally demonstrate the potential of Raman imaging to provide deeper understanding of (historic) building materials. Copyright © 2013 John Wiley & Sons, Ltd.     

钢渣与污泥协同资源化研究进展

钢渣和污泥作为传统大宗固体废弃物,始终面临处理成本高、回收利用率低等问题,但其内部含有大量可利用物质,具有较高的资源化利用价值,现已成为国内外的研究热点。为了提高钢渣与污泥绿色、高效、协同资源化利用,综述了近年来国内外钢渣在建筑、道路、水处理、农业等领域资源化利用的研究进展,立足固废无害化、减量化,从钢渣和污泥的资源化进行分析与总结,指出不同研究方法的特点和优劣,为固废资源化利用提供参考。并基于我国发展现状对钢渣与污泥资源化利用的未来发展方向进行了展望,以期为固废处理行业的良性发展提供一定的理论支撑。     

碘酸钾滴定法测定分银渣中的锡含量

采用碘酸钾滴定法测定分银渣中的锡含量。试样用过氧化钠熔融,水浸酸化,加铁粉过滤除杂质;加铝片还原,待反应平静后加热煮沸至冒大泡,冷却至室温;以淀粉为指示剂,碘酸钾滴定至淡蓝色为终点。对试样进行11次平行测定,相对标准偏差(RSD)小于1.2%,加标回收率在99%~101%。方法流程短,除杂质效果好,结果准确。     

电感耦合等离子体原子发射光谱法(ICP-AES)测定铜渣精矿中杂质含量

采用电感耦合等离子体发射光谱法测定了铜渣精矿中砷、锑、铋、铅、锌、镁的量。其测定范围:ω(As):0.05%~0.45%,ω(Sb):0.07%~0.30%,ω(Bi):0.01%~0.20%,ω(Pb):1.00%~4.50%,ω(Zn):1.00%~4.50%,ω(Mg):0.10%~1.00%。经加标回收实验,各元素的加标回收率为92%~104%(n=3),相对标准偏差(RSD)小于5%(n=11)。方法准确快速可靠,适用于铜渣精矿中砷、锑、铋、铅、锌、镁量的同时测定.