稻谷籽粒的压缩特性与含水率关系的实验研究

通过Brookfield质构仪测定了不同含水率的稻谷籽粒(含水率为10.63%、12.25%、13.71%、15.18%、16.53%w.b.)在Z轴(短轴)方向上的压缩特性(破坏力、破坏能、表观接触弹性模量、最大接触应力、破坏应变),得出含水率对稻谷压缩特性的影响规律。实验结果表明:随着压缩形变的增加,稻谷籽粒受到的压力逐渐增加,当到达破裂点时达到最大值,随之急剧减小。随着含水率的增加,稻谷籽粒的压缩破坏力、破坏能、表观接触弹性模量、破坏应力逐渐减小,压缩破坏应变逐渐增加。     

木耳菌棒力学性能试验

以经过栽培的木耳菌棒为试验材料,在万能试验机上对不同含水率的菌棒试样进行剪切、压缩的力学性能试验。试验结果表明:含水率是影响菌棒剪切强度、抗压强度的重要自然因素。平均含水率分别为11.75%,21.16%,27.68%的菌棒其平均剪切强度分别为29.4k Pa、20k Pa、14.5k Pa。平均含水率分别为14.3%,24%的菌棒,其平均抗压强度分别为144.7k Pa、77.7k Pa。菌棒的含水率与剪切强度,抗压强度均呈幂指数关系。这些都为研制菌棒粉碎机械、选择粉碎参数提供了设计依据。     

基于模拟退火算法优化给水管线造价公式研究

给水管线造价公式的精确性对工程经济分析与给水管网优化的科学性和经济性有重大影响。通过五个地区的铸铁管综合单价数据,采用最小二乘法对各组数据进行多项式一至十次的拟合,确定了给水管线造价公式的最佳拟合次数为三次;进一步采用模拟退火算法对拟合的多项式参数进行优化计算,求解给水管线造价公式。结果表明:凭借模拟退火算法随机全局搜索模式以及不受函数性质影响的优势,能够克服传统算法难以求解多阶导数的困难,提高公式拟合精度。     

边界滑移对螺旋槽上游泵送机械密封性能的影响

为了研究边界滑移对上游泵送机械密封性能的影响,建立液膜三维几何模型和计算模型,基于 Navier 线性滑移模型对液膜壁面边界条件进行修正,采用商用软件 Fluent 的 SIMPLEC 算法及层流模型求解三维 Navier －Stokes 方程,并分析相对滑移量对液膜静压分布、开启力、摩擦扭矩、泄漏量的影响规律。结果表明：相对于边界滑移发生的位置,滑移速度的大小对密封性能的影响更大;当相对滑移量较小时,存在边界滑移与无滑移的模拟结果无明显区别,能很好地解释宏观无滑移边界假设的应用,当相对滑移量较大时液膜动压效应随滑移的增加而减弱,开启力、摩擦扭矩、泄漏量都随边界滑移的增加而减小;相对于开启力的降低,边界滑移的减阻和降低泄漏的效果更为明显;当开启力较小,应避免边界滑移发生;当开启力足够大时,加工成超疏水表面形成边界滑移,可极大地减少摩擦扭矩,降低能耗。     

用于冬小麦组分信息检测的便携式LVF光谱仪研究

小麦是我国主要的粮食作物,能够实时准确地对小麦进行长势监测具有重要意义。为此,介绍了一种自主研发的便携式LVF光谱仪的软硬件结构,采集冬小麦冠层叶片光谱数据,利用偏最小二乘法建立了冬小麦组分信息的内嵌反演模型,使其成为可以测量冬小麦叶片组分信息的专用型光谱仪。同时,用校验集对预测模型进行验证,相关系数分别达到0.906和0.876。结果表明:便携式LVF光谱仪在冬小麦叶片组分信息的检测方面是可行性的。     

基于FEM-SPH耦合算法的土壤切削仿真研究

建立了旋耕刀和土壤的FEM-SPH耦合仿真模型,基于FEM-SPH耦合算法,采用MAT147土壤材料和国家标准Ⅲ型旋耕刀,结合LS-DYNA971求解器,对土壤切削仿真进行了研究。对旋耕刀切削土壤的耕作过程进行了数值仿真模拟分析,得到了切削力和切土能耗随时间的变化曲线;计算出旋耕刀单刀切土扭矩为8.75N·m,与试验结果接近。通过正交试验分析,耕作深度为主导因子,对切土功率影响较大,调整耕作深度可有效降低土壤切削的功耗,提高耕作效率。研究表明:FEM-SPH耦合算法可有效应用于土壤切削仿真,可为研究土壤的破碎机理和耕作器具的优化设计提供理论依据。     

4LMZ160型履带式苎麻联合收割机的研究

分析了我国苎麻联合收割机现状及存在的问题,设计了适合我国苎麻主产区收获作业的履带式苎麻联合收割机,并对样机的关键部件进行了详细说明。该机一次可完成割幅160mm收割,整机转弯半径小,操作方便,对麻地高垄有较好适应性。其整机结构配置新颖独特,使用半喂入稻麦联合收获机底盘,采用全液压传动技术直接驱动苎麻收割机行走和机具作业,可一次性完成切割、输送、收集功能。田间性能测试结果表明:该机漏割率、割茬高度、作业小时生产率等各项性能指标均到达设计要求。     

Isolation and Identification of Cellulase-producing Bacillus in Yak Rumen

To investigate the species of cellulase-producing Bacillus in yak rumen,10 samples of rumen content were aseptically collected from 10 adult Maiwa yaks to isolate the heat-resistant Bacillus by water bath at 80 ℃ for 20 min.The cellulase-producing strains were screened using the CMC-Na medium and Congo red staining.The 16S rRNA gene sequence of those cellulose-producing strains were amplified and sequenced.The results showed that 64 strains were isolated from the 10 samples.Total 23 strains were identified as cellulase-producing bacillus,including 16 strains of Bacillus cereus,7 strains of Bacillus thuringiensis.Furthermore,phylogenetic analysis showed that the 16 Bacillus cereus strains were clustered into two branches:One isolate was clustered into a branch alone,the other 15 isolates were clustered into a branch which clustered into 5 small branches,showing that there was certain genetic diversity in the isolates of Bacillus cereus.And all 7 Bacillus thuringiensis strains were clustered into a branch.Hence,the results layed the foundation of investigating the species of cellulase-producing Bacillus in yak rumen and developing probiotics special for yak.     

The effect of lactic acid bacterial starter culture and chemical additives on wilted rice straw silage

Lactic acid bacteria (LAB) are suitable for rice straw silage fermentation, but have been studied rarely, and rice straw as raw material for ensiling is difficult because of its disadvantages, such as low nutrition for microbial activities and low abundances of natural populations of LAB. So we investigated the effect of application of LAB and chemical additives on the fermentation quality and microbial community of wilted rice straw silage. Treatment with chemical additives increased the concentrations of crude protein (CP), water soluble carbohydrate (WSC), acetic acid and lactic acid, reduced the concentrations of acid detergent fiber (ADF) and neutral detergent fiber (NDF), but did not effectively inhibit the growth of spoilage organisms. Inoculation with LABs did not improve the nutritional value of the silage because of poor growth of LABs in wilted rice straw. Inoculation with LAB and addition of chemical materials improved the quality of silage similar to the effects of addition of chemical materials alone. Growth of aerobic and facultatively anaerobic bacteria was inhibited by this mixed treatment and the LAB gradually dominated the microbial community. In summary, the fermentation quality of wilted rice straw silage had improved by addition of LAB and chemical materials.     

INVITED REVIEW—IMAGE REGISTRATION IN VETERINARY RADIATION ONCOLOGY: INDICATIONS,IMPLICATIONS, AND FUTURE ADVANCES

The field of veterinary radiation therapy (RT) has gained substantial momentum in recent decades with significant advances in conformal treatment planning, image‐guided radiation therapy (IGRT), and intensity‐modulated (IMRT) techniques. At the root of these advancements lie improvements in tumor imaging, image alignment (registration), target volume delineation, and identification of critical structures. Image registration has been widely used to combine information from multimodality images such as computerized tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) to improve the accuracy of radiation delivery and reliably identify tumor‐bearing areas. Many different techniques have been applied in image registration. This review provides an overview of medical image registration in RT and its applications in veterinary oncology. A summary of the most commonly used approaches in human and veterinary medicine is presented along with their current use in IGRT and adaptive radiation therapy (ART). It is important to realize that registration does not guarantee that target volumes, such as the gross tumor volume (GTV), are correctly identified on the image being registered, as limitations unique to registration algorithms exist. Research involving novel registration frameworks for automatic segmentation of tumor volumes is ongoing and comparative oncology programs offer a unique opportunity to test the efficacy of proposed algorithms.