非离子型聚氨酯预聚体可聚合乳化剂的合成及性能

采用甲苯二异氰酸酯 (TDI) ,聚乙二醇 10 0 0 (PEG -10 0 0 ) ,丙烯酸为原料 ,通过分子设计合成了带有双键的非离子型可聚合乳化剂。并对其CMC值、流变行为及乳化力进行了表征。结果显示 :此乳化剂的CMC值在 6.0 %左右、浊点为 (54± 1)℃、HLB值为 16.1可以取代OP -10的乳化能力 ;该乳化剂可以与丙烯酸酯类单体进行乳液共聚 ,得到性能优异的共聚乳液     

冰箱用聚氨酯泡沫塑料的密度分布机理及配方优化

对冰箱用聚氨酯泡沫塑料的密度分布机理进行了探讨,为配方和工艺优化提供了有价值的参考,并通过对密度分布的研究来解决冰箱泡沫的其他性能缺陷。     

双向叶轮直驱式海浪发电装置设计与优化

为了降低海洋能源发电装置的发电成本、提升发电效率,研制了一种新型的双向叶轮直驱式海浪发电装置。采用经验算法和Fluent软件分别对装置的发电机、叶片、双向轴流泵和导流罩进行了设计优化。通过对安装20 W电机和200 W电机发电装置的水槽试验,分析了在不同工况和负载下,发电装置输出的直流电流值、直流电压值、发电功率以及获能效率。结果显示,波浪力能够直接驱动装置叶轮运转进行发电,不需经过中间环节转换,省去了二级发电损耗,在最低流速0.5 m/s的工况下装置能够自启动,而且水流的流向不影响装置的发电效率。从最终的获能效率可知,导流罩对于提升装置发电效率作用巨大。通过对此新型双向直驱式海浪发电装置的进一步研究表明,该发电装置尺寸及发电机功率是制约整个装置发电效率的关键,为下一步研制大型样机以及进行海试提供了依据。     

节涌流化床压力波动动力学研究(Ⅱ)模拟与实验

研究了节涌流化床多自由度随机波动模型参数,提出了确定气栓和料栓长度的试差迭代法、床层底部的“白噪声”扰动函数和床层表面的正态扰动函数.模型模拟计算的结果对于节涌流化床波动结构的动力学特征、压力波动的频谱特征和波动的传播与衰减等与实验结果取得了较好的吻合.     

亚磷酸工业生产方法的研究

本文详细介绍了亚磷酸的合成方法和工艺流程,其中还介绍了优级亚磷酸中杂质的去除方法.     

污水处理技术在油田的应用

本文以文南油田为例，从实际出发，系统阐述了全密闭污水处理工艺。该工艺以理论为依据，根据污水的性质，通过收油、除铁、混凝沉降、过滤等几个环节，对油田产出水进行深度净化，实现了净化水的稳定达标，从而深化了油田水处理技术。该技术的应用保证了油田注入合格水，保护地面设施及地层能量，提高原油采收率，为油田稳产、高产提供了有利的保障。     

地表水质监测模型中的几种人工智能方法

重点对地表水质预测模型的几种人工智能方法进行了评述,具体说明了BP神经网络水质预测模型、地表水COD灰色预测模型、时间数列预测方法及WASP5模型系统等方法的原理和特点.并提出地表水质预测模型WASP5与GIS系统集成的趋势,建立水质自动监测系统是我国水质现状和社会发展的需要,并分析了发展水质自动检测系统的方法及可行性.     

动力煤洗前干法脱粉新技术

介绍了煤炭振动流化床气力分级新技术的工作原理和特点;通过该机组在郑煤集团米村矿的应用实例,说明了该技术可实现煤炭选前0～10mm内任一粒度干法分级,从而降低动力煤洗选粒度下限,优化产品结构,减少煤泥量,提高企业经济效益。     

Assessment of the environmental quality of two urbanized lotic systems using multiple indicators

Urbanization impacts ecosystems through loss and fragmentation of habitat, loss of diversity, increase in runoff, and contaminant discharges, and the invasion of exotic species. Potrero de los Funes Village (San Luis, Argentina) is experiencing not only a population increase during summer months due to tourism but also an accelerated growth of its permanent population. In order to evaluate the potential effects of urbanization, the environmental quality of Potrero de los Funes River and Las Chacras Stream was assessed, using physical–chemical and biological indicators. Macroinvertebrates, through the application of the Biotic Index for San Luis Sierras (BISLS), anuran amphibian richness and relative abundance, and riparian vegetation were used as bioindicators. While the Simplified Index of Water Quality (SIWQ) was used to characterize the physical–chemical quality of water at each site. SIWQ and BISLS scores were significantly different between sites (F_7,28 = 9.88, p < .001 and F_7,28 = 24.18, p < .001, respectively). SIWQ was significantly correlated with BISLS (Spearman correlation coefficient = 0.8, p < .001). Four anuran species were registered along Potrero River, with no significant differences in the intensity of vocalizations between sites. No species were detected in Las Chacras Stream. Average total plant species richness, exotic plants richness, and vegetation cover were higher at the most impaired system, Las Chacras Stream. The principal component analysis showed that the first two principal components (PCs) explained 76.3% of the total variance. PC1, with strong loadings of SIWQ, BISLS, and amphibian richness, was principally driven by chemical water quality and biological conditions. PC2 was mainly determined by plant richness. The chemical and biological water quality of Potrero and Las Chacras is somewhat impaired, being the upper Las Chacras Stream the most compromised area. This study provides information that will certainly be used to manage future impacts of urbanization on aquatic resources.     

Testing scientific software: A systematic literature review

ContextScientific software plays an important role in critical decision making, for example making weather predictions based on climate models, and computation of evidence for research publications. Recently, scientists have had to retract publications due to errors caused by software faults. Systematic testing can identify such faults in code.ObjectiveThis study aims to identify specific challenges, proposed solutions, and unsolved problems faced when testing scientific software.MethodWe conducted a systematic literature survey to identify and analyze relevant literature. We identified 62 studies that provided relevant information about testing scientific software.ResultsWe found that challenges faced when testing scientific software fall into two main categories: (1) testing challenges that occur due to characteristics of scientific software such as oracle problems and (2) testing challenges that occur due to cultural differences between scientists and the software engineering community such as viewing the code and the model that it implements as inseparable entities. In addition, we identified methods to potentially overcome these challenges and their limitations. Finally we describe unsolved challenges and how software engineering researchers and practitioners can help to overcome them.ConclusionsScientific software presents special challenges for testing. Specifically, cultural differences between scientist developers and software engineers, along with the characteristics of the scientific software make testing more difficult. Existing techniques such as code clone detection can help to improve the testing process. Software engineers should consider special challenges posed by scientific software such as oracle problems when developing testing techniques.