共查询到16条相似文献，搜索用时 859 毫秒
1.
2.
《赣南师范学院学报》2015,(6):31-34
采用旋涂工艺,以K9玻璃为衬底,制备低表面粗糙度的惯性约束聚变(ICF)分解实验用的聚苯乙烯(CH)和聚氯乙烯(PVC)平面薄膜靶,对它们的厚度、宽度和表面光洁度等靶参数进行测量.结果表明,CH和PVC平面薄膜靶的厚度分别为18μm和6μm,对应的宽度分别为200μm和300μm.CH和PVC平面薄膜靶都具有较好的表面光洁度,它们平均粗糙度Ra的最大值分别3.7 nm和4.5 nm,TIR表面最高点与最低点差值TIR的最大值分别58.4 nm和56.8 nm. 相似文献
3.
使用模糊自适应BP算法建立影响表面粗糙度参数与工件表面粗糙度之间的关系模型,依据给定的数据样本对模型进行训练,将训练好的网络进行实际的表面粗糙度预测.采用VB和Matlab语言相结合的方法建立一种实验系统,实现了数据采集和神经网络预测功能.实验结果表明,基于模糊自适应BP算法的工件表面粗糙度预测有一定的准确度. 相似文献
4.
表面粗糙度是衡量产品表面质量的重要参数,随着表面加工精度的不断提高,产品的表面粗糙度也由微米级别向纳米级别发展。触针式表面轮廓仪是国家标准规定的测量表面粗糙度的方法,而原子力显微镜是测量表面粗糙度的新型仪器。通过对比原子力显微镜和表面轮廓仪的测量结果,分析了表面轮廓仪误差产生的主要原因,并提出了利用原子力显微镜测量薄膜纳米级表面粗糙度的方法。 相似文献
5.
前混合水射流喷丸强化表面粗糙度预测 总被引：1，自引：0，他引：1
选择对喷丸表面粗糙度起主要影响作用的喷丸压力、喷嘴扫描速度和靶距3个因素,各6个水平,选用直径为0.25 mm的玻璃弹丸,应用前混合水射流对2A11铝合金进行喷丸试验;采用针描法和SJ-201 Surface Roughness Tester测量喷丸表面粗糙度;基于表面粗糙度试验数据,应用多元线性回归和多项式回归分析方法建立喷丸表面粗糙度数学模型,并将模型应用于喷丸表面粗糙度预测,研究表明:多元线性回归预测模型,计算精度高、泛化能力强、预测效果好,平均相对误差为13.37％,能够满足工业生产对喷丸表面粗糙度预测精度的要求,具有较大的实用价值. 相似文献
6.
詹友基江宋然许永超左振周家骐 《福建工程学院学报》2020,(6):511-517
采用树脂结合剂金刚石砂轮对纳米晶粒硬质合金进行平面磨削试验,结合单因素和正交实验研究不同磨削要素即磨削深度ap、工件进给速度vw、砂轮线速度vs 对磨削纳米晶粒硬质合金表面粗糙度的影响。结果表明,磨削深度ap 和工件进给速度vw 增加,表面粗糙度增加?砂轮线速度vs 增加,表面粗糙度减小。磨削3 要素对纳米晶粒硬质合金表面粗糙度影响程度的大小依次是工件进给速度、砂轮线速度、磨削深度。因此,为了获得好的表面质量可以采取小进给、小切深、高砂轮线速度的组合方式进行磨削?同时建立了磨削纳米晶粒硬质合金的表面粗糙度数学模型并验证了模型的可靠性。 相似文献
7.
量块的研合能力随表面粗糙度值的增大而降低,采用JB-4C表面粗糙度测量仪对两年内使用过的实验室量块进行周期检测,得出量块表面粗糙度参数值在同等条件下随使用时间延长的变化规律,进而得出量块是否达到研合标准,以及时进行维护和修理,提高测量的准确性。 相似文献
8.
为提高熔融沉积成型(FDM)制件的表面质量,采用回归设计试验与响应曲面法相结合的方法研究打印速度、喷嘴温度、层高、走线宽度以及两两之间的交互作用对FDM制件表面粗糙度的影响.确定了影响表面粗糙度的显著性因素和使表面粗糙度达到最小的工艺参数组合,基于最优参数组分析了倾斜角度对于表面质量的影响.实验结果表明:工艺参数对表面... 相似文献
9.
EXCEL回归分析工具在切削参数优化中的应用 总被引：1，自引：0，他引：1
沈良翼 《南通职业大学学报》2009,23(3):98-101
在对车削表面粗糙度预测数学模型进行线性化后,利用Excel回归分析工具对车削表面粗糙度正交试验数据进行分析处理,建立了试验回归方程,并得到了参数优化解。 相似文献
10.
王建军 《洛阳工业高等专科学校学报》2008,18(1)
阐述了花岗石表面轮廓的特点,提出对原始轮廓曲线进行高斯滤波,然后进行粗糙度及分形计算的方法:并对花岗石表面光泽度和粗糙度、分形维数之间的关系进行了研究.通过分析认为高斯滤波适合花岗石表面轮廓的粗糙度及分形研究,计算方法可靠、简捷. 相似文献
11.
IDFT Numerical Simulation Method for Gaussian Rough Surface with Relatively Large Correlation Length
《天津大学学报(英文版)》2015,(3)
A numerical simulation method based on inverse discrete Fourier transform(IDFT)is presented for generating Gaussian rough surface with a desired autocorrelation function(ACF). The probability density function of the height distribution of the generated Gaussian surface and the root-mean-square height of the rough surface are also considered. It is found that the height distribution of the generated surface follows the Gaussian distribution, the deviation of the root-mean-square height of the modeled rough surface from the desired value is smaller than that of Patir's method, and the autocorrelation function of the modeled surface is also in good agreement with the desired autocorrelation function. Compared with Patir's method, the modeled surface generated by the IDFT method is in better agreement with the desired autocorrelation function, especially when the correlation length is relatively large. 相似文献
12.
提出利用数字散斑相关方法测量材料的电致伸缩性能的新方法.通过数字散斑相关方法得到面内位移,从而由几何三角关系得到离面位移,实现电致伸缩应变的测量.采用该方法对高电场作用下钛酸钡/聚氨酯复合高分子材料的电致伸缩性能进行了测量.在高电场作用下,对重复加电放电过程进行分析,得到电致伸缩应变,从而获取材料的电致伸缩系数.实验中采用双线性插值方法获取亚象素灰度值,以提高测量精度,并将结果与曲面拟合算法的计算结果进行了比较.结果表明:钛酸钡的加入提高了聚氨酯材料的电致伸缩性能;数字散斑相关方法可以有效地实现材料的电致伸缩系数的测量.该方法为电致伸缩性能的研究提供了一种有效的工具. 相似文献
13.
Objectives: Polymerization shrinkage of dental composites remains a major concern in restorative dentistry because it can lead to micro-cracking of the tooth and debonding at the tooth-restoration interface. The aim of this study was to measure the full-field polymerization shrinkage of dental composites using the optical digital image correlation (DIC) method and to evaluate how the measurement is influenced by the factors in experiment setup and image analysis. Methods: Four commercial dental composites, Premise Dentine, Z100, Z250 and Tetric EvoCeram, were tested. Composite was first placed into a slot mould to form a bar specimen with rectangular-section of 4 mm mm, followed by the surface painting to create irregular speckles. Curing was then applied at one end of the specimen while the other part were covered against curing light for simulating the clinical curing condition of composite in dental cavity. The painted surface was recorded by a charge-coupled device (CCD) camera before and after curing. Subsequently, the volumetric shrinkage of the specimen was calculated with specialist DIC software based on image cross correlation. In addition, a few factors that may influence the measuring accuracy, including the subset window size, speckle size, illumination light and specimen length, were also evaluated. Results: The volumetric shrinkage of the specimen generally decreases with increasing distance from the irradiated surface with a conspicuous exception being the composite Premise Dentine as its maximum shrinkage occurred at a subsurface distance of about 1 mm instead of the irradiated surface. Z100 had the greatest maximum shrinkage strain, followed by Z250, Tetric EvoCeram and then Premise Dentine. Larger subset window size made the shrinkage strain contour smoother. But the cost was that some details in the heterogeneity of the material were lost. Very small subset window size resulted in a lot of noise in the data, making it difficult to discern the general pattern in the strain distribution. Speckle size did not seem to have obvious effect on the volumetric shrinkage strain along specimen length; however, larger speckles resulted in higher level of noise or heterogeneity in the shrinkage distribution. Compared with bright illumination, dimmer lighting produced larger standard deviations in the measured shrinkage, indicating a higher level of noise. The longer the specimen, the greater was the rate of reduction with distance from the irradiated surface, especially for the longitudinal strain. Significance: The image correlation method is capable of producing full-field polymerization shrinkage of dental composites. The accuracy of the measurements relies on selection of optimal parameters in experimental setup and DIC analysis. 相似文献
14.
本文介绍一种自制的低真空与气体光谱实验仪,作为简单的低真空实验,可测气压、抽速、气压与放电点火电压的关系,作为光谱实验,可测谱线波长、光栅常数。 相似文献
15.
提出了基于图像微分和自相关函数的分层自动鉴别模糊长度方法。通过对水平运动模糊图像或任意角度旋转至水平方向的运动模糊图像先按大小分为不同的层次,再对各层图像计算水平方向的微分,计算水平方向的自相关函数值,得到的结果把各列相加,绘制相应的鉴别曲线,从鉴别曲线中寻找一对最小值的距离用于计算该层次图像的模糊长度估计值,最后选取一组相近的长度估计值求其平均值作为整幅图像的模糊长度。实验表明,自动鉴别方法执行效率更好,精度更高。 相似文献
16.
针对使用AutoCAD绘制机械图样时,表面粗糙度符号不能自动标注的问题,在Auto CAD2008中利用VBA二次开发环境,对AutoCAD2008平台上表面粗糙度标注进行了开发,创建了表面粗糙度的模块和属性。用户只需在标注系统界面上选择各项参数就能完成表面粗糙度的标注,其使用简便且界面友好。 相似文献