温度循环对键合及芯片烧结性能的影响分析

温度循环针对材料间的热胀冷缩特性,产生蠕动和疲劳损伤效应。半导体器件在温度循环试验过程中封装可靠性随温度循环时间逐步退化。针对一种半导体器件的键合强度、芯片剪切强度、芯片烧结空洞随温度循环次数的退化情况进行了分析。     

Justice in sustainability indicators and indexes

At least since the Brundtland Report, technical assessments of what can be sustained and values about what is desirable to sustain, for whom, and for how long have been intertwined. This intersection is particularly evident in the assumption that justice among people living today and between present and future generations is a key part of sustainability. In official international policy documents and academic studies of sustainability, this justice may include the equitable distribution of environmental benefits and burdens, distributive justice, or the ability of people to meaningfully contribute to decisions that affect their lives, participatory justice. Yet, the process of developing indicators and indexes to track movement toward or away from sustainability has been dominated by technical, economic, and environmental assessments. This raises questions about whether or not indexes align with and thus will monitor and encourage progress toward sustainability in a technically possible and desirable way. To begin to answer this question, this paper identifies definitions of justice used in sustainability discourse and evaluates the degree to which sustainability indicators and indexes align with these concepts. The 2010 Environmental Performance Index, Eurostat's Sustainable Development Indicators, and a group of local indicators and indexes are examined. It is found that the indicators embody various aspects of justice, though they are still significantly limited by the available data, especially as they generally cannot monitor inequities between subpopulations and have a limited capacity to monitor progress toward participatory justice.     

Environmental knowledge memory: Contribution of the DIK model

A company does not only generate goods and services which meet the requirements in terms of deadlines, costs, quality and environment, but it also generates knowledge that must be capitalized. In order for a company to benefit from the skills and competences acquired during the realization of a project, some processes of memorization prove to be necessary. This article fits in this context and aims at suggesting a knowledge capitalization model in order to create a capital of environmental knowledge.To illustrate our suggestion, we have chosen an Environmental Performance Contract (EPC) signed by tens of Algerian companies which are reputed for their pollution of the environment. Capitalizing this knowledge allows these companies to anticipate on their environmental management and to guarantee the success of the EPC.     

Prevalence-adjusted optimisation of fuzzy models for species distribution

Most performance criteria which have been applied to train ecological models focus on the accuracy of the model predictions. However, these criteria depend on the prevalence of the training set and often do not take into account ecological issues such as the distinction between omission and commission errors. Moreover, a previous study indicated that model training based on different performance criteria results in different optimised models. Therefore, model developers should train models based on different performance criteria and select the most appropriate model depending on the modelling objective. This paper presents a new approach to train fuzzy models based on an adjustable performance criterion, called the adjusted average deviation (aAD). This criterion was applied to develop a species distribution model for spawning grayling in the Aare River near Thun, Switzerland. To analyse the strengths and weaknesses of this approach, it was compared to model training based on other performance criteria. The results suggest that model training based on accuracy-based performance criteria may produce unrealistic models at extreme prevalences of the training set, whereas the aAD allows for the identification of more accurate and more reliable models. Moreover, the adjustable parameter in this criterion enables modellers to situate the optimised models in the search space and thus provides an indication of the ecological model relevance. Consequently, it may support modellers and river managers in the decision making process by improving model reliability and insight into the modelling process. Due to the universality and the flexibility of the approach, it could be applied to any other ecosystem or species, and may therefore be valuable to ecological modelling and ecosystem management in general.     

大型环境监测实验室分析仪器绩效评估指标体系探索

大型环境监测实验室分析仪器是环境监测单位综合实力的集中体现,在环境监测工作中发挥着巨大作用。简述了仪器设备绩效评估研究现状,尝试构建大型环境监测实验室分析仪器绩效评估指标体系,并通过德尔菲法确定各项评价指标的权重值,最终计算绩效评估综合指数。在此基础上,对某省级环境监测机构的部分大型实验室分析仪器进行分析,提出,需合理配置仪器、加强日常维护管理以及开放共享等建议,为提高大型环境监测实验室分析仪器的精细化管理提供了科学依据。     

生物滴滤塔处理苯乙烯气流的工效和生物膜微群落的分析

采用培养驯化污泥菌种、类球形陶粒和循环液等构建生物滴滤塔.研究评价气体苯乙烯浓度、气体流量、循环液喷淋量对生物滴滤塔工效的影响,并对生物膜微群落中的微种群作了定性定量检测.当进口气体苯乙烯小于1 000 mg/m3、气体流量为200 L/h、循环液流量为10 L/h时,苯乙烯净化效率达90%以上,生化去除量为30 mg/(L·h);单位体积生物膜填料对苯乙烯的最大生化去除量为35 mg/(L·h).湿润生物膜微群落的优势菌种群包括恶臭假单胞菌、梭形芽孢杆菌、罗非氏不动杆菌等5种,恶臭假单胞菌等非芽孢杆菌的最大活菌数为5.5×107 CFU/g,并随生物滴滤塔运行时间延长有减少趋势.     

Allocation of performance shaping factors in the risk assessment of an offshore installation

Offshore oil production is one of the most important human productive activities. There are many risks associated with the process of constructing a subsea well, pumping oil to the platform, and transporting it to refineries via underwater pipes or oil tankers. All actions performed by workers in those operations are influenced by specific working conditions, involving the use of complex systems. Contextual factors such as high noise, low and high temperatures and hazardous chemicals are considered to be contributors to unsafe human actions in accident analysis and also give a basis for assessing human factors in safety analysis. Some failure modes are particularly dangerous and can result in severe accidents and damage to humans, the environment and material assets. Fires and explosions on oil rigs are some of the most devastating types of offshore accidents and can result in long-term consequences. The most typical root causes related to accidents include equipment failure, human error, environmental factors, work organization, training and, communication, among others. The principal objective of this study is to propose a methodological framework to identify the factors that affect the performance of operators of an offshore unit for oil processing and treatment. In this phase, an ergonomics approach based on operators' work analysis is used as a supporting tool. After identification of factors that affect the performance of operators, a decision-making model based on AHP (analytic hierarchy process) is applied to rank and weight the principal performance shaping factors (PSFs) that influence safe operations. The next step involves the use of the SHELLO model to group the main PSFs in elements named software, hardware, environment, liveware and organization. In the last phase, a relevant accident that occurred aboard a floating production storage and offloading (FPSO) vessel is analyzed. The allocation process of the factors that affect the operator's performance in risk assessment was developed through fuzzy logic and the ISO 17776 standard.     

Reverse phase high performance liquid chromatographic determination of Baygon in water

Abstract

A simple analytical procedure for determination of Baygon in water is described. The Baygon residues are extracted on a C₁₈ SEP‐PAK cartridge and subsequently analyzed by reverse phase high performance liquid chromatography using ultraviolet detection at 272 nm. Water samples spiked with Baygon are found to give greater than 90 percent recoveries.

Concentration levels as low as 20 ppb can be easily detected by this method.     

Preparation and characterization of PVDF-glass fiber composite membrane reinforced by interfacial UV-grafting copolymerization

A novel inorganic–organic composite membrane,namely poly(vinylidene fluoride) PVDF-glass fiber(PGF) composite membrane,was prepared and reinforced by interfacial ultraviolet(UV)-grafting copolymerization to improve the interfacial bonding strength between the membrane layer and the glass fiber.The interfacial polymerization between inorganic–organic interfaces is a chemical cross-linking reaction that depends on the functionalized glass fiber with silane coupling(KH570) as the initiator and the polymer solution with acrylamide monomer(AM) as the grafting block.The Fourier transform infrared spectrometer-attenuated total reflectance(FTIR-ATR) spectra and the energy dispersive X-ray(EDX) pictures of the interface between the glass fiber and polymer matrix confirmed that the AM was grafted to the surface of the glass fiber fabric and that the grafting polymer was successfully embedded in the membrane matrix.The formation mechanisms,permeation,and anti-fouling performance of the PGF composite membrane were measured with different amounts of AM in the doping solutions.The results showed that the grafting composite membrane improved the interfacial bonding strength and permeability,and the peeling strength was improved by 32.6% for PGF composite membranes with an AM concentration at 2 wt.%.     

A neuro-fuzzy algorithm for assessment of health,safety, environment and ergonomics in a large petrochemical plant

Process plants such as petrochemical units have been continuously trying to improve Health, Safety, Environment and Ergonomics (HSEE) programs. This study proposes an adaptive network-based fuzzy inference system (ANFIS) for assessment of HSEE programs in a petrochemical plant. The proposed neuro-fuzzy approach is applied to a set of operators in the petrochemical unit to show its applicability and superiority. To achieve the objectives of this study, standard questionnaires with respect to HSEE are completed by operators. The average results for each category of HSEE are used as inputs and accomplishment of HSEE programs is used as output for the algorithm. Moreover, this algorithm is used to rank operators performance with respect to HSEE. Finally, the algorithm identifies efficient operators with respect to HSEE. This is the first study that introduces an intelligence algorithm for assessment and improvement of HSEE program in a petrochemical plant.