侵彻引信用磁电传感器的输出特性仿真分析

目的 解决侵彻引信用磁电传感器在不同侵彻环境下输出特性难以预知的问题,掌握不同结构参数对传感器输出的影响。方法 基于一种新型磁电传感器的结构原理,提出一种联合仿真研究方法,研究过程分为2部分,一部分是利用ADAMS软件进行磁电传感器惯性系统的力学特性仿真,另一部分是利用COMSOL软件进行传感器机电转换元件的磁电特性仿真,仿真模型的输入是战斗部在穿靶过程中的过载信息。通过磁电传感器在多次冲击加载试验中获取的实测数据,对仿真模型的仿真结果进行验证。改变仿真模型的相关参数,模拟并分析传感器结构对仿真输出特性的影响。结果 仿真穿靶时间的平均绝对误差约为138 μs,穿靶时刻仿真电压值的平均相对误差约为5.9%。在给定力学环境的前提下,侵彻引信用磁电传感器中的线圈与磁铁的相对高度会影响输出信号的正负、幅值以及波峰出现的时间,线圈匝数、线圈与磁铁之间的间隔仅对信号的幅值产生影响。结论 仿真误差在可控范围内,验证了联合仿真模型的正确性与该研究方法的可行性。该仿真模型可以为侵彻引信用磁电传感器的设计提供指导,并为后续进一步验证侵彻引信起爆控制系统的性能工作提供了新的思路。     

典型海域船舶用铜材表面生物污损与腐蚀性能研究

目的 对比研究铜合金、紫铜在我国黄海、东海和南海海域具有代表性的港口海水环境中的污损、腐蚀行为.方法 依据GB 12763.6—2007《海洋调查规范》和GB/T 5776—2005《金属和合金的腐蚀试验方法》,通过实海挂片研究ZQMnD12-8-3-2、铜镍合金B10/B30和紫铜T2在我国典型海域青岛港口、舟山港口...     

热带海洋环境中5083铝合金腐蚀行为研究

目的 研究某岛礁不同海洋区带环境中5083铝合金的腐蚀规律。方法 在某岛礁进行海洋多区带腐蚀试验,利用表面微观形貌观测、腐蚀产物分析、质量损失测试及点蚀深度测量等手段,对比分析铝合金在不同海洋区带中的腐蚀形貌、腐蚀速率和点蚀深度。结果 5083铝合金在某岛礁海洋全浸区带环境中的腐蚀速率最大,大气区带中的腐蚀速率最小,在潮差区带的腐蚀速率介于二者之间。试样在海洋不同区带主要发生局部腐蚀,大气区试样的最大点蚀深度最大,而潮差区试样的最大点蚀深度最小。在不同海洋区带,铝合金腐蚀产物和附着物的混合物中均含有钙元素,大气区钙元素含量远低于潮差区和全浸区,潮差区和全浸区铝合金表面的腐蚀产物和附着物混合物中主要含有CaCO₃、CaSiO₃和Al₂O₃。结论 不同海洋区带环境中,5083铝合金的腐蚀速率差别较大,潮差区和全浸区材料表面附着大量污损生物和矿物质。     

不锈钢在西太平洋深海环境中腐蚀规律研究

目的 研究不锈钢在西太平洋海域深海环境中的腐蚀规律。方法 采用深海高效串型试验装置对304不锈钢和316L不锈钢在西太平洋深海环境中进行深海实海腐蚀试验,分析不锈钢的腐蚀形貌、腐蚀速率和点蚀深度规律等,研究2种不锈钢在500、800、1 200、2 000 m海深下的腐蚀规律。结果 304不锈钢与316L不锈钢腐蚀质量损失主要由缝隙腐蚀引起,316L不锈钢的腐蚀程度总体上低于304不锈钢,304不锈钢的腐蚀速率低于0.4 mm/a,316L不锈钢的腐蚀速率低于0.25 μm/a。深海环境中,304不锈钢的腐蚀产物主要是α-Fe2O3、γ-FeOOH、γ-Fe2O3,316L不锈钢的腐蚀产物主要是α-FeOOH、γ-FeOOH、γ-Fe2O3。结论304不锈钢和316L不锈钢在西太深海环境中使用过程中应避免缝隙的形成,降低其发生缝隙腐蚀和点蚀的概率。     

农村居民点整理对农户土地投入影响研究

近年来,农村居民点整理被作为城乡统筹发展的重要措施,在各地广泛开展。其在改善农民居住环境、为工业化和城镇化发展置换建设用地空间的同时,也对区域农地资源可持续利用产生了巨大冲击,其中,土地投入变化是农户响应这些冲击的重要表现。本研究沿着"农村居民点整理-区域土地利用条件变化-农户土地利用行为响应"的逻辑思路,形成了农村居民点整理对农户土地投入影响的分析框架,并在此基础上,从总体效应和不同政策影响两个层次,构建了农村居民点整理对农户土地投入影响的两个模型。依据江苏省调研数据,从资金和劳动力两个方面,实证分析农村居民点整理项目对农户土地投入的净效应,以及不同居民点整理政策对农户土地投入的影响方向和大小。结果表明,农村居民点整理促进了农户的土地资金投入,但对农户的土地劳动力投入具有负向影响。不同居民点整理政策对农户土地投入的影响具有显著差异,其中,置换住房的宅基地补偿政策和农地产权稳定政策对农户的土地资金投入具有较好的积极作用,而安置公寓房政策则更可能带来农户土地资金投入减少;农地产权稳定政策和安置公寓房政策显著负向影响农户土地劳动投入,但宅基地补偿政策对农户土地劳动投入影响不显著。本研究对这些结果进行了合理解释,同时也估算了户主年龄、户主受教育程度、农业收入比例、非农就业水平、农业补贴收入、耕作距离和土地经营面积等控制变量对农户土地投入的影响情况。最后从强化规划引导、内涵拓展、宅基地补偿策略优化、土地流转制度完善等方面,提出农村居民点整理政策调整和合理引导农户土地投入行为的对策建议。     

Factors influencing farmers’ decisions on nitrogen fertilizer application in the Liangzihu Lake basin,Central China

Overuse of nitrogen (N) fertilizers in agriculture activities has caused severe water pollution in China. The lack of data at producer level hampers decision makers in the development and implementation of efficient policies to curb excessive N-fertilizer use. In a survey of 300 farm households in the Liangzihu Lake basin, we identified factors associated with farmers’ decisions on N-fertilizer use and application rate. Household survey and multiple linear regression models indicate that the average application rate in the study region is 229 kg N ha^?1, which exceeds the recommended rate for maximum profit for cereal crops (maize, wheat, and rice) in China of 150–180 kg N ha^?1. High N-application rates are associated with low farmland productivity (coefficient = ?15.66, p = 0.02), a high share of off-farm income (coefficient = 27.14, p = 0.003), and a low education level of the household head (coefficient = ?10.83, p = 0.039). Neither physical infrastructure nor access to input markets appears to be related to N-application rates. It may be concluded that excessive use of N in agriculture of Central China is mainly a problem of insufficient awareness and high share of off-farm income.     

CO2 emission driving forces and corresponding mitigation strategies under low-carbon economy mode: evidence from China’s Beijing–Tianjin–Hebei region

On account of the background of China’s “new normal” characterized by slower economic growth, this paper analyses the low-carbon economy status quo in the Beijing–Tianjin–Hebei region and empirically investigates the relationship between carbon dioxide (CO₂) emissions and its various factors for China’s Beijing–Tianjin–Hebei region using panel data econometric technique. We find evidence of existence of Environmental Kuznets Curve. Results also show that economic scale, industrial structure, and urbanization rate are crucial factors to promote CO₂ emissions. However, technological progress, especially the domestic independent research and development, plays a key role in CO₂ emissions abatement. Next, we further analyze the correlation between each subregion and various factors according to Grey Relation Analysis. Thereby, our findings provide important implications for policymakers in air pollution control and CO₂ emissions reduction for this region.     

The influence of Chinese population policy change on resources and the environment

Universal two-child policy has been implemented since the end of 2015 in China. This policy is anticipated to bring a significant increase in the total population, with profound influences on the resources and environment in the future. This paper analyzes the changing dynamics of urban and rural population, and forecasts urban and rural population from 2016 to 2030 at national and provincial scale using a double log linear regression model. Drawing upon the results of these two predictions, the impact of the population policy change on Chinese resources consumption and environmental pollution are predicted quantitatively. Given the future total population maintains current levels on resources consumption and environmental emission, the additional demand of resources and environment demand for the new population is forecasted and compared against the capacity on supply side. The findings are as follows: after implementing the universal two-child policy, China’s grain, energy consumption, domestic water demand, and pollutant emissions are projected to increase at different rates across provinces. To meet the needs arising from future population growth, food and energy self-sufficiency rate will be significantly reduced in the future, while relying more on imports. Stability of the water supply needs to be improved, especially in Beijing, Henan, Jiangsu, Qinghai, and Sichuan where the gap in future domestic water demand is comparatively larger. Environmental protection and associated governing capability are in urgent need of upgrade not least due to the increasing pressure of pollution.     

Economic and environmental value stream map (E2VSM) simulation for multi-product manufacturing systems

Value stream mapping (VSM) is a well-accepted tool within lean manufacturing concept which is often used for analysing and designing the flow of materials and information required to manufacture a product. However, the analysis is static and single product oriented, which fails to cope with either the variation of production plan or a multi-product environment. In addition, the environmental impact of a manufacturing system is highly associated with the dynamic consumption of energy and resources. Despite the recent integration of VSM with simulation or environmental studies (in the domain of energy efficiency), still neglected is the dynamic assessment of all the resources involved in a multi-product production environment. This paper presents a methodology for modelling multi-product manufacturing systems with dynamic material, energy and information flows with the aim to generate economic and environmental value stream maps (E²VSM). The proposed methodology is validated with an industrial case.