Effect of coupling agent content on properties of composites made from polylactic acid and chrysanthemum waste

Chrysanthemum flower is among one of the highly sought after and widely planted flower crops, in particular for cultural and religious ceremonies. However, the chrysanthemum stem and stalk have little value and usually discard as by‐product waste from floristry. The objective of this research is to investigate the potential value of utilizing chrysanthemum stem and stalk as reinforcing fillers for thermoplastic composites. In this study, 2‐mm thick composite sheet containing predefined formulations of polylactic acid (PLA), chrysanthemum waste filler (CWF) ranging from 15 to 60 phr, and maleated polyethylene (MAPE) coupling agent up to 5 phr were prepared with the aid of Haake internal mixer and compression molding. The effect of MAPE loading on tensile, thermal, and morphological properties of PLA/CWF composites was investigated. The findings revealed that PLA/CWF composite attained improved tensile modulus compared to the neat PLA, and the tensile modulus increases with higher concentration of CWF. However, both tensile strength and elongation at break reduces with increase loading of CWF. Overall, PLA/CWF composites with MAPE shows better performance compared to those without MAPE, where an optimum strength of 21.8 MPa can be achieved with 60 phr CW and 3 phr MAPE. The measured tensile strength is comparable to alternatives natural fiber thermoplastic composites demonstrating its potential to be used in non‐structurally demanding application. J. VINYL ADDIT. TECHNOL., 26:10–16, 2020. © 2019 Society of Plastics Engineers     

壁电流探测器在中国散裂中子源快循环同步加速器调束中的应用

快循环同步加速器（RCS）是中国散裂中子源（CSNS）的重要组成部分。负氢粒子束经直线加速器加速至80 MeV，剥离成质子束注入至RCS环并加速累积至1.6 GeV引出打靶。束流通过安装在RCS环的壁电流探测器（WCM）感应得到束流的强度信息，环高频与环主二极磁铁的失配会导致束流的实际振荡偏离理论预测。本文通过对WCM的数据进行分析得到了纵向工作点、束流的实际振荡频率、束团的电荷量、束团的形状变化等信息，方便了加速器的调束，并对参数测量中的测量误差进行了分析。     

Mechanical properties of continuous bamboo fiber-reinforced biobased polyamide 11 composites

This study is devoted to the analysis of the properties of continuous bamboo fiber (BF)-reinforced polyamide 11 (PA 11) composites. The SEM observations highlighted continuity between BFs and the polymeric matrix showing a high density of hydrogen bonds. The comparative calorimetric study of the matrix and its composites showed that the crystallinity of PA 11 was not modified by the presence of bamboo fibers. The physical aging observed in PA 11 is no more observed in composites due to physical interactions between PA 11 and BFs. The mechanical properties were investigated by tensile strength and dynamic mechanical analysis. The introduction of BFs enhanced Young's modulus of the matrix by a factor of 10. The presence of BFs also improved the storage shear modulus G′ over the whole temperature range. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47623.     

小型模块化增殖焚烧快堆MA嬗变性能分析

次锕系核素(Minor Actinides,MA)作为长寿命高放射性核废料,在乏燃料放射性中占据主导位置。乏燃料最小化是保证核能可持续发展的重要环节,而嬗变是安全处置乏燃料的有效途径。小型模块化增殖焚烧(Breed and Burn,BB)快堆的中子经济性较好,燃烧寿期长,装料方式灵活多样,可用于增殖产生易裂变核燃料、嬗变长寿命核废料,从而解决核电发展中前端核燃料供给和后端乏燃料处理问题。本文分析对比了U3-MA和U5-MA燃料装载模式的临界、燃耗和安全性能,并系统研究了两种装料模式在BB快堆上嬗变MA的性能。结果表明:两种装料方式均能达到较好的嬗变性能,且MA的添加还能使反应堆寿期更长,堆芯中子经济性更高;此外,从安全性能上来看,添加MA对钍铀燃料循环的缓发中子份额影响较弱,但是对其燃料多普勒系数影响较强,这为后续钍铀、铀钚燃料循环选取合理的MA装载份额提供了参考依据。     

Initial tool path selection of the iso-scallop method based on offset similarity analysis for global preferred feed directions matching

The iso-scallop method has been long adopted to achieve a shorter overall machining length. The efficiency and machining performance of this method are lar     

硫酸镍煅烧的实验研究

硫酸镍煅烧可以产生镍氧化物,作为制备氧化镍的原料。以六水硫酸镍为原料,采用热重-差热分析（TG-DTA）、X射线衍射（XRD）分析研究了其煅烧过程并对产物进行了表征。研究结果表明,硫酸镍煅烧过程分为3个阶段：第一阶段（27~250 ℃）及第二阶段（250~600 ℃）为脱水阶段;第三阶段（600~900 ℃）为分解阶段。在煅烧温度为850 ℃、煅烧时间为30 min、粒度为74~147 μm条件下,硫酸镍煅烧产物为氧化镍。     

25Cr2Ni4MoV锻轴制造工艺研究

对25Cr2Ni4MoV钢锻轴的冶炼、锻造、热处理工艺进行研究,并通过超声检测和力学性能检验,充分证明了其冶炼、锻造、热处理工艺的可行性。在生产实践中,成功地制造出了4支该材质的60 MW空冷发电机转子。     

A Novel Method of Heart Failure Prediction Based on DPCNNXGBOOST Model

The occurrence of perioperative heart failure will affect the quality of medical services and threaten the safety of patients. Existing methods depend on the judgment of doctors, the results are affected by many factors such as doctors’ knowledge and experience. The accuracy is difficult to guarantee and has a serious lag. In this paper, a mixture prediction model is proposed for perioperative adverse events of heart failure, which combined with the advantages of the Deep Pyramid Convolutional Neural Networks (DPCNN) and Extreme Gradient Boosting (XGBOOST). The DPCNN was used to automatically extract features from patient’s diagnostic texts, and the text features were integrated with the preoperative examination and intraoperative monitoring values of patients, then the XGBOOST algorithm was used to construct the prediction model of heart failure. An experimental comparison was conducted on the model based on the data of patients with heart failure in southwest hospital from 2014 to 2018. The results showed that the DPCNN-XGBOOST model improved the predictive sensitivity of the model by 3% and 31% compared with the text-based DPCNN Model and the numeric-based XGBOOST Model.