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姜立永 《中国石油和化工标准与质量》2018,(5):48-49
经济与科技的高速发展,推动了我国电力事业的快速发展,电力设备、电力技术的研发与应用得到进步。在提倡信息化、数字化、智能化建设的背景下,智能数字化煤场管理系统在火电厂燃料管理中得到广泛应用,有效提升了燃料管理质量与科学水平。基于此,本文从智能数字化煤场管理系统相关概述出发,就智能数字化煤场管理系统在火电厂燃料管理中的实践应用进行了分析,以供参考。 相似文献
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《佛山陶瓷》1994,(2)
祝《佛山陶瓷》杂志乘改革开放之东风,不断进步,越办越好,为陶瓷科学技术腾飞、经济作出新的贡献。同贺单位(排名不分先后)广东省陶瓷公司 《新型建筑材料》杂志社石湾日用陶瓷一厂 《陶瓷研究》杂志社石湾日用陶瓷二厂 《材料研究学报》编辑部石湾日用陶瓷三厂 《纤维素科学与技术》杂志社石湾建国陶瓷厂 《CHINA’S REFRACTORIES》杂志社石湾建华陶瓷厂 华南理工大学无机系石湾建筑陶瓷厂 浙江大学材料科学与工程学系石湾美术陶瓷厂 广东省陶瓷学校石湾化工陶瓷厂 中科院广州化学研究所石湾耐酸陶瓷厂 四川省轻工业研究设计院石湾工业陶瓷厂 山东省硅酸盐研究设计院 相似文献
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本文根据陶瓷厂生产工艺特点,运用FHA法即频率层次分析法,对陶瓷厂工艺控制提出了一种新的分析方法。 相似文献
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本文介绍了建筑陶瓷厂工艺现场管理的重要内容,包括设计规划、品质管理、现场管理和统计统筹管理等方面,揭示建筑陶瓷厂工艺过程的管理重点和难点。 相似文献
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陶瓷抛光废料对多孔陶瓷砖气孔形成过程影响的研究 总被引:2,自引:1,他引:1
本文以陶瓷抛光废料为主要原料,研制了以石英和莫来石为主晶相的多孔陶瓷轻质砖,采用XRD、显微镜分析了陶瓷抛光砖废料对其气孔形成过程的影响,探讨了影响其气孔形成的主要因素。研究结果表明,陶瓷抛光砖废料由于含有机物和无机盐,可作为成孔剂,在400-700℃温度范围,有机物分解形成小气孔,随着温度的升高,以钙镁碳酸盐为主的无机盐在900℃左右分解,所形成的气孔由小变大;影响多孔陶瓷轻质砖气孔形成的主要因素是原料配方和烧成制度。 相似文献
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介绍一种瓷砖生产线自动拣砖系统以替代人工分拣作业。解决了国内现有瓷砖生产线拣砖工序由人工完成、生产效率低下、存在安全隐患等问题。系统以自主技术为核心,由输送机、光电传感器、PLC控制器、气动驱动器、电控柜协同工作,光机电气一体化,多机联动,实现瓷砖生产的全自动分拣。 相似文献
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提高陶瓷砖釉面硬度的途径 总被引:1,自引:1,他引:0
有釉砖具有良好的装饰效果,但是釉面硬度较低,容易出现划痕。本文概述了有釉砖的釉面硬度、耐磨性的检测方法。并通过分析影响有釉砖釉面硬度的因素.提出了通过调整配方组成、引入微晶玻璃、改进工艺制度、进行表面处理等途径可提高有釉砖的釉面硬度。 相似文献
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《Ceramics International》2023,49(7):10481-10498
A numerical approach combining finite element modeling and machine learning is used to inform the material performance of an alumina ceramic tile undergoing high-velocity impact. In this study, the alumina ceramic tile is simulated by incorporating a user-defined Johnson–Holmquist–Beissel (JHB) material model within the framework of smoothed particle hydrodynamics (SPH) in LS-DYNA finite element software. The implementation of the JHB model is verified by comparing equivalent stress–pressure responses through a single element simulation test. After implementation, the computational framework is simulated across our chosen range of conditions by matching the results from both plate impact experiments and ballistic testing from the literature. The computational model is then used to generate training data sets for an artificial neural network (ANN) to predict the residual velocity and projectile erosion for an alumina ceramic tile undergoing high-velocity impact in the SPH framework. The ANN is then used to perform a sensitivity analysis involving exploring the effect of mechanical properties (e.g., strength and shear modulus) and impact simulation geometries (e.g., thickness of ceramic tile) on material performance (i.e., residual projectile velocity and erosion). Overall, this study shows the capability of the FEM-ANN approach in studying the high-velocity impact on ceramic tiles and is applicable to guide the structural-scale design of ceramic-based protection systems. 相似文献
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《Ceramics International》2022,48(11):15462-15469
Due to its unique artistic value, mosaic ceramics are widely used in construction-related fields. To meet the artist's demand for high-quality mosaic ceramic to create artistic works, it is necessary to meet the needs for efficient screening of mosaic ceramic tiles. Different from the ordinary large-target ceramics, mosaic ceramics exhibit characteristics of small tile sizes, a variety of colors, large demand for quantities, and easy reflection on the surface. Common manual detection methods show problems of low efficiency or accuracy, easy to fatigue, and many others. To solve these problems, this paper proposes a new detection method to identify surface defects of mosaic ceramic tiles and designs a detection system platform to achieve rapid detection. The experiment proves that the detection system has a detection rate of 93.99% for small defects on the surface of mosaic ceramic tiles, and the detection time of a single mosaic ceramic tile is less than 0.06 s. The detection method can quickly and accurately screen out high-quality, defect-free mosaic ceramic tiles, which can effectively improve the quality and artistic value of mosaic ceramic art creation. 相似文献
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