共查询到19条相似文献,搜索用时 170 毫秒
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废旧塑料的识别与回收技术 总被引:1,自引:0,他引:1
在科学技术日新月异的现代社会,世界各国都越来越重视废旧塑料的回收与利用问题。中国一方面废旧塑料满山遍野,造成大量的资源浪费和环境污染,另一方面由于技术落后,不能很好地回收利用。本文主要从常见废旧塑料的种类、一般辨别方法和几种回收利用的方法几个方面对废旧塑料回收利用的技术进展进行论述。 相似文献
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我国废旧塑料的回收现状与发展分析 总被引:2,自引:0,他引:2
从废旧塑料回收对节约能源和保护环境的意义入手,分析了我国废旧塑料回收的现状及存在的问题。并提出了解决问题所应采取的措施,指出废旧塑料回收利用的发展方向。 相似文献
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塑料的回收利用是近些年来再生资源研究的一个非常重要的方向。废旧塑料,尤其是消费后的废旧塑料是回收利用的重点。本文从回收方法和途径阐述了有关废旧塑料各类最新的塑料循环周期模型,进而说明积极的研究废旧塑料循环利用的新方法、新工艺具有十分重要的意义。 相似文献
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废旧塑料回收及其综合利用 总被引:4,自引:0,他引:4
本文简要叙述了废旧塑料回收利用的重要性和主要方法;介绍了世界发达国家回收利用废旧塑料的现状,并结合我国国情提出了废旧塑料回收利用的改进意见。 相似文献
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Dr.-Ing. Philip Biessey Dr. Julia Vogel Prof. Dr. Mathias Seitz Prof. Dr.-Ing. Peter Quicker 《化学,工程师,技术》2023,95(8):1199-1214
Chemical recycling offers the opportunity to foster the transition towards a circular economy for plastics as a complementary strategy for mechanical recycling. For the implementation of chemical recycling technologies, there are still significant challenges ahead that – besides the definition of binding legal frameworks – need for intensified research: knowledge-based methods for both the identification of suitable process technologies considering decentralized waste conditions and the design of conversion steps and downstream processing are strongly needed for process development and process evaluation. 相似文献
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针对废旧混合塑料工业化回收循环利用过程中分类识别和高效清洗两大关键技术难题,本文主要综述了系列可工业用废旧混合塑料分类识别方法;讨论了浮沉分离、浮选分离、电选分离、近红外光谱精准识别技术在废旧塑料识别中的应用;介绍了清洗工艺除污提高分离效果的重要性和清洗剂主要成分——碱性物质、助剂和表面活性剂以及其作用;并提出了将超声波清洗以及浮沉分离、浮选分离、近红外光谱识别分离用于废旧塑料精准识别与分离的集成技术工艺路线。由于国内近红外光谱识别技术与超声波清洗技术相对落后,指出研究此两项技术、设备并将两者结合应用于废旧塑料回收是今后的发展方向。 相似文献
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The complexity of any plastic recycling initiative lies in the heterogeneous nature of the post-consumer commingled plastic waste stream: recycling treatments are challenging without prior reliable sorting. A suitable identification system should be able to recognize different plastics and blends. Nowadays, the main technique used as quality control in plastic waste sorting centers is differential scanning calorimetry, whose result can be purely qualitative or semi-quantitative, since only the crystalline fraction is evaluated. Moreover, the time required for data acquisition is relatively long. Infrared spectroscopy is an alternative, faster technique extensively used in applied research, but not widely utilized in industry. In this work, the cross-use of infrared spectroscopy and calorimetry is tested in a real, practical case: the quality control of recycled pellets (namely composed of polyolefins only), which represent the output of a commingled plastic recycling plant and are used as secondary raw materials for different applications. Appropriate infrared spectroscopy calibration curves were built to allow the quantitative analysis with respect to the most common polymers found in the commingled plastic waste stream; the composition and contaminants in the recycled pellets were thereby determined and tracked through different production batches through the cross-use of the two techniques outlined above. 相似文献
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Jesús Anzano Beatriz Bonilla Beatriz Montull‐Ibor Justiniano Casas‐González 《应用聚合物科学杂志》2011,121(5):2710-2716
The classification of plastics is very important in the recycling industry. A quick online classification allows the installation of the equipment in this line of work. Whether qualitative or quantitative analysis, the basic component of any laser‐induced breakdown spectroscopy (LIBS) measurement is the emission spectrum recorder from single plasma. Each fire of the laser atomizes a portion of the sample in the pulse focal volume and produces plasma that excites and re‐excites the atoms to emit light. The plasma light is collected and recorded in an ensuing measurement. In this sense, the LIBS technique offers all possible advantages: speed, the possibility of online analysis, nondestructive analysis, and so on. In this article, we discuss details related to the analysis of the emission spectrum. The plastics used in this study were low‐density polyethylene (PE), high‐density PE, polypropylene, polystyrene, and poly(ethylene terephthalate). Hierarchical cluster analysis was proven to be the best method because the four polymers could be divided into two clusters, which allowed their identification and classification in a fast and easy way that could be carried out with commercial software and could be implanted online in a recycling factory, as conventional data analysis techniques are limited to the qualitative identification and calculation of elemental abundances. Principal component analysis on LIBS spectra can be used to better describe the chemical variations in the samples and to extract a greater understanding of the chemical structure. © 2011 Wiley Periodicals, Inc. J Appl Polym Sci, 2011 相似文献