Mullite-corundum refractories for pouring steel through slide gates

Conclusions At the Ukrainian Scientific-Research Institute of Refractories, in collaboration with Ukrogneupornerod and the Chasov-Yar Refractories Combine, methods have been developed for improving the service properties of mullite-corundum slabs and increasing their reliability and stability in operation. The commercial production of mullite-corundum slabs has been organized.The slabs are being successfully used in stopperless steel pouring at the Il'ich Metallurgical Works, Zhdanov, and at the Donetsk Metallurgical Works.To increase the stability of mullite-corundum slabs to two or three meltings, it is necessary to organize the commercial production of these articles with alumina-enriched binder.Translated from Ogneupory, No. 5, pp. 25–29, May, 1981.     

二次盐水精制采用5台树脂塔流程简介

介绍了国内首创的离子膜盐水二次精制塔工艺,运行6 a证明本工艺是投资省、见 效快,生产能力大,又切实可行的工艺方法。     

单组分聚脲材料在寒冷地区某大坝溢流面防护中的应用

水利水电工程泄洪建筑物表面经常遭受高速含沙水流或携带推移质的冲刷,经过一段时间的运行,往往会出现不同程度的磨损及气蚀破坏,采用性能优越的水工混凝土抗冲耐磨材料修复和防护尤为重要。本文通过单组分聚脲材料性能试验揭示了材料的特点,介绍了其在新疆某大坝溢流面防护中的应用情况,其处理技术对类似工程具有良好的借鉴意义。     

建筑陶瓷装饰技术的现状及发展趋势

简要介绍了建筑陶瓷，日用陶瓷和工艺美术陶瓷领域装饰技术的最新进展，着重介绍了引领陶瓷装饰技术发展和最新潮流的意大利、西班牙在这方面的水平和成果，他们为开放的中国从世界陶瓷大国尽快过渡到世界陶瓷强国提供了借鉴和方向。装饰技术的总体水平包括设计、装饰技法、装饰工艺、装饰材料和装饰机械装备等几大方面，其中设计是龙头，其包括产品的图案设计、造型设计、色彩的搭配、产品的应用及展示设计等多个方面；装饰技法包括平面装饰和立体装饰、平铺和点缀、多种装饰材料的交替和组合应用等；装饰工艺包括布料（多管布料、多次布料、随机布料、微粉和干粒布料）、丝网印刷（平面丝网印刷、辊筒印刷、胶辊印刷），以及各种施釉工艺、抛光、柔抛、釉抛和半釉抛工艺、磨边和水刀切割、拼花工艺等；装饰材料有各种色料，成釉、金属釉、干粒、印油、渗花液、喷墨印刷用耗材等；装饰机械装备包括各种装饰机械和工模具。     

5000t/d熟料生产线的调试与生产

1概况天瑞集团汝州水泥有限公司5000t/d新型干法水泥熟料生产线,是规划两条线中的第二条生产线,年产熟料160万吨,包括从原料进厂破碎至水泥熟料出厂的一条完整的5000t/d水泥熟料生产线。工程总投资2.85亿元,从生料均化库桩基开始到生产线一次点火投产仅用了10个月另2天。无论从     

New software developments for quality mesh generation and optimization from biomedical imaging data

In this paper we present a new software toolkit for generating and optimizing surface and volumetric meshes from three-dimensional (3D) biomedical imaging data, targeted at image-based finite element analysis of some biomedical activities in a single material domain. Our toolkit includes a series of geometric processing algorithms including surface re-meshing and quality-guaranteed tetrahedral mesh generation and optimization. All methods described have been encapsulated into a user-friendly graphical interface for easy manipulation and informative visualization of biomedical images and mesh models. Numerous examples are presented to demonstrate the effectiveness and efficiency of the described methods and toolkit.     

Automatic moment segmentation and peak detection analysis of heart sound pattern via short-time modified Hilbert transform

This paper proposes a novel automatic method for the moment segmentation and peak detection analysis of heart sound (HS) pattern, with special attention to the characteristics of the envelopes of HS and considering the properties of the Hilbert transform (HT). The moment segmentation and peak location are accomplished in two steps. First, by applying the Viola integral waveform method in the time domain, the envelope (E_T) of the HS signal is obtained with an emphasis on the first heart sound (S1) and the second heart sound (S2). Then, based on the characteristics of the E_T and the properties of the HT of the convex and concave functions, a novel method, the short-time modified Hilbert transform (STMHT), is proposed to automatically locate the moment segmentation and peak points for the HS by the zero crossing points of the STMHT. A fast algorithm for calculating the STMHT of E_T can be expressed by multiplying the E_T by an equivalent window (W_E). According to the range of heart beats and based on the numerical experiments and the important parameters of the STMHT, a moving window width of N = 1 s is validated for locating the moment segmentation and peak points for HS. The proposed moment segmentation and peak location procedure method is validated by sounds from Michigan HS database and sounds from clinical heart diseases, such as a ventricular septal defect (VSD), an aortic septal defect (ASD), Tetralogy of Fallot (TOF), rheumatic heart disease (RHD), and so on. As a result, for the sounds where S2 can be separated from S1, the average accuracies achieved for the peak of S1 (AP₁), the peak of S2 (AP₂), the moment segmentation points from S1 to S2 (AT₁₂) and the cardiac cycle (ACC) are 98.53%, 98.31% and 98.36% and 97.37%, respectively. For the sounds where S1 cannot be separated from S2, the average accuracies achieved for the peak of S1 and S2 (AP₁₂) and the cardiac cycle ACC are 100% and 96.69%.