共查询到19条相似文献,搜索用时 218 毫秒
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球栅阵列(Ball Grid Array,BGA)封装具有体积小、引脚密度高、信号完整性和散热性能佳等优点,因而广泛应用于大规模集成电路的封装领域。植球工艺作为BGA封装(连接器)生产中的关键工艺会直接影响器件与电路的性能及可靠性,现从植球工艺路线、BGA连接器设计要求、植球工艺参数及关键技术、试验及检测要求等几个方面,阐述了影响BGA连接器植球工艺实现的各种因素,借以提高BGA连接器产品的可靠性及稳定性。 相似文献
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针对现有基于深度学习的图像分割算法在球栅阵列(BGA)焊点气泡检测中检测效率较低,无法满足工业生产中实时性的检测需求,提出了一种基于改进U-Net的球栅阵列缺陷识别方法。该方法在现有的U-Net经典网络的基础上提出用深度可分离卷积与密集连接结合的轻量密集连接单元替换常规的卷积单元,同时添加多尺度跳跃连接减少编解码特征之间的差异,实现针对BGA焊点气泡的精确分割和提取。采用自建数据集对该方法的有效性进行实验,结果表明,改进的U-Net模型网络在减少U-Net网络计算复杂度的同时提升了网络性能,能够增加BGA焊点气泡的检测效率。 相似文献
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针对BGA芯片的特点,本文介绍一种基于计算机视觉技术的单摄像头双目成像焊接定位系统,本文介绍了单CCD视觉系统的构成及原理,并采用经典算子和利用灰色系统理论对BGA芯片图像进行处理。实验结果证明灰色系统理论是一种有效的、具有可调功能的边缘检测新算法,能够较为准确地检测出有用的边缘信息,具有一定的抗噪声能力,进而有效的提高BGA芯片定位精度。 相似文献
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H.-N. Yen D.-M. Tsai 《The International Journal of Advanced Manufacturing Technology》2004,24(1-2):132-139
Ball-Grid-Array (BGA) has become one of the most popular packaging techniques in the electronics industry. Coplanarity inspection of BGA solder balls is critical for process and quality control in BGA manufacturing. Currently, the 3D measurement systems for BGA coplanarity inspection are mainly based on laser scanning techniques. However, they suffer from low inspection speed due to the physical line-scanning process. In this paper, a fast and cost-effective 3D measurement system for coplanarity inspection of BGA solder balls is proposed. The proposed system uses an LCD-based phase measuring technique to perform full-field 3D measurement of BGA solder balls with high accuracy. Experiments have shown that the coplanarity measurement of BGA solder balls is very efficient and effective with the proposed system. The measurement repeatability is in the micrometer range. The processing time of the proposed 3D measurement system for an image of 640×480 pixels is less than 2 s on a typical personal computer. 相似文献
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为了实现对BGA焊球的自动检测,建立了自动视觉检测系统。对系统所采用的焊球特征进行提取及缺陷识别,基于高斯混合模型的分类器对检测算法进行研究。根据焊球的形状和尺寸特征设计了焊球缺陷识别和分类算法,并以锡多、锡少和毛刺缺陷为例,分析典型缺陷的识别算法。以焊球形状的圆度和特征区域的面积等特征参数为评价标准,构建二维特征空间。在二维特征空间线性组合的基础上,构建基于高斯混合模型的分类器。构建了训练样本集,并对该分类器进行训练,根据训练结果并结合应用实际修正了模型,并采用测试集对该分类器进行测试验证。实验结果表明,焊球缺陷检测算法的准确度为97.06%,漏判率为0%,检测可靠度为100%。该视觉检测系统满足了工程运用中对识别准确度、稳定性、可靠性等方面的要求。 相似文献
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钢球作为广泛应用的轴承组件,其表面质量直接影响轴承性能.在钢球表面缺陷自动检测中,钢球表面展开技术是核心,球表面能否充分展开直接决定了表面质量检测的准确性.目前发展的钢球表面展开技术仍存在机械结构复杂、展开不充分及随机性强的问题.基于计算机视觉技术研究了基于双图像传感器的球表面展开方法.首先,介绍基于双图像传感器的展开原理及装置.其次,建立数学分析模型,解算出完全展开整个球面所需要满足的参数条件;最后,设计实验完成全覆盖球表面的图像采集,验证理论模型结果.实验结果表明,在比例系数k为0.97,2个相机45.倾斜拍摄图像时至少需要拍摄4幅图像实现全覆盖展开,与理论模型分析结果一致.此方法在精确有效展开的同时,机械结构从复杂的二维运动简化为一维运动,提高了球表面展开的可靠性,具有广泛的应用前景. 相似文献
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全自动平衡机系统组成与控制 总被引:1,自引:0,他引:1
介绍了一种全自动平衡机系统的组成及体系结构,并结合这种体系结构给出了系统的控制过程,分析了控制过程中的关键技术及实现方法,提供了去重模型和高层串行通信协议,在此基础上研制了样机并给出了试验结果及结果分析。试验及实践结果表明,研制的全自动平衡机系统能较好地实现对不平衡转子的动平衡修正。 相似文献
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A Rotation-Invariant and Non-Referential Approach for Ball Grid Array (BGA) Substrate Conducting Path Inspection 总被引:2,自引:2,他引:0
C.-H. Yeh D.-M. Tsai 《The International Journal of Advanced Manufacturing Technology》2001,17(6):412-424
The aim of this paper is to locate and classify boundary defects such as open and short circuits, mousebites, and spurs on
ball grid array (BGA) substrate conducting paths using machine vision. Boundary defects are detected by a boundary-based corner
detection method using covariance matrix eigen-values. Detected defects are then classified by discrimination rules derived
from variation patterns of eigenvalues and the geometrical shape of each defect type. Real BGA substrates with both synthetic
and real boundary defects are used as test samples to evaluate the performance of the proposed method. Experimental results
show that the proposed method achieves 100% correct identification for BGA substrate boundary defects under a sufficient image
resolution. The proposed method is invariant with respect to the orientation of the BGA substrates, and it does not require
prestored templates for matching. This method is suitable for various types of BGA substrate in small-batch production because
precise positioning of BGA substrates and the prestored templates are not necessary. 相似文献
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The distances between the balls of a ball array used in machine geometry calibration have to be very accurate. These distances can be calibrated using a laser measurement system, which requires specially designed optical devices and measuring probes. In this paper, a new and economical alternative method for calibrating the ball array is described. A single gage block is used for measuring the standard distance at the starting position. Then, the exact distances between the balls can be obtained by using the coordinate measuring machine (CMM) probe motion. This method does not depend on the accuracy of the CMM. Also, this method does not require expensive instruments or devices, but a CMM and a gage block. A simple “parallel-plane” bracket, mounted on to the measuring end of a CMM probe, is used to determine the centers of the balls automatically and accurately. 相似文献
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针对小浆果种植领域中蓝莓收获难的问题,基于计算机软件和可编程序控制器,设计了一种新型自动化蓝莓采摘机。介绍了这一蓝莓采摘机的结构与工作原理,分析了控制方案,制作了样机,并进行了采摘试验。应用这一新型自动化蓝莓采摘机,可以满足蓝莓收获效率高、破损率低等要求。 相似文献
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In this paper, a method is proposed that uses an artefact assembled in situ and exploiting the on-machine probing capability to perform a rapid volumetric distortion assessment of a five-axis machine. The 3D reconfigurable uncalibrated master ball artefact (RUMBA) is an assembly of the machine pallet and an adjustable number of master balls located within the machine working and probing envelop. The artefact design philosophy allows flexibility in the number and positions of the balls thus conferring the reconfigurability attribute. Reconfigurability allows adaptation of the artefact to the machine topology and geometry and its construction around a fixture and workpiece to reduce disruption to machine production. On the down side, the artefact is uncalibrated as its construction concept hinders precise knowledge of its geometry. During a test, combinations of all the machine axes are used to move and probe the master balls. A mathematical model is developed in order to identify the setup errors of each master ball and the probe. Simultaneous identification of the rotary axes’ linear offset with the setup errors is proposed to improve the parameter estimation and volumetric distortion prediction. The machine contribution to the volumetric distortion is then computed from the ball centre data excluding the setup errors. Tests are conducted in a laboratory on a horizontal machining centre. The results show that the proposed mathematical procedure is capable of removing the influence of the uncalibrated artefact geometry, excluding scale, and that the proposed design is suited to the machine environment. 相似文献