<?xml version="1.0" encoding="gb2312"?><rss version="2.0"><channel><title>特殊应用's rss</title><link>http://www.ndt168.com/teshuyingyong/</link><description><![CDATA[特殊应用]]></description><language>zh-cn</language><generator>rss generator by eucms</generator><item><title>盘式制动衬片的粘接和裂纹缺陷的检测</title><link>http://www.ndt168.com/teshuyingyong/185.html</link><description><![CDATA[<p>Detection of cracks and bonding defects <br />in disk brake linings.<br />盘式制动衬片的粘接和裂纹缺陷的检测</p><p>In our Application Reports 06/97 and 07/97, we reported on ultrasonic testing of brake linings and of bonded joints in brake bodies.<br />在应用报告06/97 和07/97中，我们讲述了在制动体中粘接接头和制动衬片的超声检测<br />The present case deals with testing of brake bodies, consisting of a steel base plate, a welded-on grid mat as bonding agent and the sinter-fused braking substance (friction lining),<br />下图展示一个焊接上的网格垫作为粘接剂，钢基体和烧结熔融的制动物质组成的制动体检测。</p><p align="center"><img alt="" src="/upfile/image/201701/0911133758.jpg" /></p><p>SOLUTION:方案&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <br />The present brake lining structure with its extremely high sound absorption and scattering calls for the through-transmission technique using a test frequency of 100 kHz. We recommend the use of the probes type B 0,1 NN for this application case. This probe type enables a dry and point-to-point coupling. <br />由于制动衬片结构具有很高的声吸收和散射，因此需要频率为100khz的穿透法技术，推荐使用B0型1 NN 探头，这种探头类型能够实现干式和点对点耦合。<br />In order to ensure uniform coupling conditions, it is necessary to have a device enabling to reach a pressure force of ~100 N.</p><p>为了确保耦合的均匀，需要一个能够达到100N压力的设备</p><p>In the case of cracks and bonding defects, a low through-transmission amplitude is obtained due to the reduced acoustic transmittance. On the other hand, a high sound amplitude indicates a flaw-free area.<br />有裂纹和粘接缺陷的存在情况下，由于降低了声能的穿透性能，穿透技术得到的波幅会很低，另一方面，在没有缺陷的区域穿透技术得到的声波波幅会很高。</p><p>The following figure is an example of the distribution of the through-transmission amplitude (in % screen height) over the lining surface, obtained by point scanning. <br />下图是通过点扫，在衬面上获得穿透法波幅高度（示波屏高度百分比）分布的举例</p><p align="center"><img alt="" src="/upfile/image/201701/0911139992.jpg" /></p><p>SUITABLE EQUIPMENT: <br />设备</p><p>Ultrasonic flaw detectors:&nbsp;USM 22L&nbsp;&nbsp;USD 10NF<br />超声仪器<br />Probe:&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;B 0,1 NN&nbsp; (transmitter and receiver)<br />探头</p>]]></description><pubdate><![CDATA[2017-1-9 11:10:55]]></pubdate><category><![CDATA[特殊应用]]></category><author><![CDATA[Teampower（译）]]></author></item><item><title>铝材连接接头的压力缺陷检测</title><link>http://www.ndt168.com/teshuyingyong/184.html</link><description><![CDATA[<p>Safety parts within the automotive industry, such as the treated transmission element of the steering mechanism, are subject to the most severe conditions and controls within the production process.<br />汽车工业中的安全部件，例如转向装置中经处理的传动元件，在生产过程中经受最剧烈的条件和严格的控制<br />To meet these conditions, the nondestructive ultrasonic inspection for the detection of flaws due to the die-forming has been envisaged among other methods.<br />为了满足这些条件，因模具成型在众多无损检测方法中超声波无损检测已经在考虑当中<br />Typical flaws include overfoldings and cracks which are only seldom visually recognizable on the surface.<br />像典型的折叠和裂纹缺陷在表面上目视检测很难检测到。<br />SOLUTION:方案<br />The recommended immersion test arrangement is outlined in the figure:<br />下图推荐的水浸法检测示意图</p><p align="center"><img alt="" src="/upfile/image/201701/0911103249.jpg" /></p><p>Because of the defined flaw area, scanning in a fixed probe position is sufficient for the flaw detection using the H5K probe's large sound beam which is additionally expanded by being reflected from the curved backwall.<br />对于限定区域的缺陷检测，H5K探具有较大的声束宽度，被曲面反射后有更进一步的声束扩散，所以用H5K探头在一个固定的位置足够对缺陷进行检测。<br />The component analysis is carried out by evaluating the flaw indications between the interface echo at sound entry and the indications from the geometry, such as edges – openings – holes.<br />通过对界面回波和几何回形状回波之间的回波信号评估来分析产品部件，例如工件边缘回波，开孔之类的回波是来自几何形状回波。<br />Typical CRT screen displays<br />CRT屏幕显示</p><p align="center"><img alt="" src="/upfile/image/201701/0911109153.jpg" /></p><p>SUITABLE EQUIPMENT: <br />适用的设备</p><p>Ultrasonic flaw detector:设备&nbsp;USD 15X<br />USD 15X double-rack (for dual-trace testing due to component geometry)</p><p>Probe:探头&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;H 5 K</p>]]></description><pubdate><![CDATA[2017-1-9 11:07:53]]></pubdate><category><![CDATA[特殊应用]]></category><author><![CDATA[Teampower（译）]]></author></item><item><title>相控阵检测法兰腐蚀</title><link>http://www.ndt168.com/teshuyingyong/178.html</link><description><![CDATA[<p>相控阵检测法兰腐蚀</p><p>应用</p><p>石化炼油厂和分流中心的管道系统包含成千上万个腐蚀环境下的螺栓连接，这些设施的持续安全运行需要定期检查，以确保完整无损，当前检验草案主要依赖于物理拆卸对接头进行目视检查或使用高端笨重复杂的数据采集系统的费用。</p><p align="center"><img alt="" src="/upfile/image/201612/2402053138.jpg" /><br />图1典型的管线系统</p><p>方案</p><p>GE欧洲解决方案中心提出了使用相空阵phasor XS的解决方案，通过使用标准的或者定制的相控阵探头，此解决方案提供了一个便携式、重量轻人工相控阵操作系统，可以轻松地适应任何检验草案，根据客户的要求，检测演员可以从螺栓面或者锥形面任一面进行检测，显示的扇形图来自于腐蚀扩展的评估和在基于风险分析检验计划中使用。这有助于用最小的成本对未来检测提供一种规划方案。</p><p align="center"><img alt="" src="/upfile/image/201612/2402054393.jpg" /><br />图2螺栓和垫片法兰的检测</p><p align="center"><img alt="" src="/upfile/image/201612/2402057060.jpg" /></p><p>此示例从螺栓的表面展示了螺栓和法兰垫片配置检查。探头位于螺栓孔之间且声束穿透密封面和管子的内径。左边的图像展示了预想的扇形扫描结果和并呈现了腐蚀面从内径开始向密封垫圈延伸。第三张图片上的圆圈显示了检测到的表面腐蚀。一旦密封垫圈接触到密封面则被认为已经损坏，需要更换。</p><p>一般解决方案条件:</p><p>1 PHASOR-XS</p><p>2相控阵探头（5MHZ间隔1mm的16个晶片探头）</p><p>3斜楔块35度-75度</p><p>4节律软件平台</p><p>5标准的/定制的斜楔块</p><p><a></a><a>优点：</a> </p><p>1便携设备</p><p>2单人操作</p><p>3数据报告和存档便捷</p><p>4确保高质量的检测等级</p><p>5改善工艺节约成本。</p><p>&nbsp;</p><p>&nbsp;</p>]]></description><pubdate><![CDATA[2016-12-24 2:04:27]]></pubdate><category><![CDATA[特殊应用]]></category><author><![CDATA[Teampower（译）]]></author></item><item><title>螺栓的裂纹和腐蚀检测</title><link>http://www.ndt168.com/teshuyingyong/177.html</link><description><![CDATA[<p>螺栓的裂纹和腐蚀检测</p><p>应用</p><p>螺栓是大型建造物的重要组成部分，例如桥梁，海上平台甚至建筑物，为了确保这种大型结构的完整性，须在不移除螺栓的情况下定期检查螺栓的螺纹有无任何损坏，该检测探测腐蚀和裂纹，并且帮助决定是否继续使用或更换螺栓。</p><p align="center"><img alt="" src="/upfile/image/201612/2402034179.jpg" /><br />图1螺栓损坏</p><p><a></a><a>方案</a> </p><p>用相空阵直探头的扇形扫描方式（例如+ 35度-35度）对螺栓缺陷区域进行检测，推荐使用操作频率4MHZ的探头可以得到最佳的分辨率，为了确保稳定和均匀的耦合，也为了得打较好的检测结果，探头的直径应该和螺栓的直径相匹配，这样可以提高检测的可靠性和准确性。</p><p align="center"><img alt="" src="/upfile/image/201612/2402037080.jpg" /><br />图2 B.SPA16&amp; MB.SPA16</p><p><br /></p><p align="center"><img alt="" src="/upfile/image/201612/2402038015.jpg" /><br />图3 S-扫描</p><p>探针在螺栓上旋转360°以致扇形扫描完全覆盖螺纹。 左侧图显示采用扇形扫查可以探测单个螺纹， 带有缺陷区域的反射信号会显著增加（红色区域）</p><p align="center"><img alt="" src="/upfile/image/201612/2402033377.jpg" /><br />图4非磨损性保护膜</p><p>为了确保稳定和均匀的耦合，带非磨损性保护膜的探头允许在粗糙表面上使用并能增加探头的使用寿命，并且保护膜应与设计的圆形探头相匹配。</p><p>一般解决方案条件:</p><p>1接触式相控阵直探头B4SPA16或M4SPA16</p><p>2设备：PHASORXS</p><p>3其他商业用途的相控阵设备也可以使用</p><p><a></a><a>优点：</a> </p><p>1确保高质量的检测等级和检测几率</p><p>2减少现场故障和潜在的风险</p><p>3改善工艺节约成本</p><p><br /></p><p><br /></p>]]></description><pubdate><![CDATA[2016-12-24 2:01:57]]></pubdate><category><![CDATA[特殊应用]]></category><author><![CDATA[Teampower（译）]]></author></item><item><title>表面波涡轮叶片表面腐蚀检测</title><link>http://www.ndt168.com/teshuyingyong/176.html</link><description><![CDATA[<p>涡轮叶片表面裂纹和腐蚀性损伤的检测</p><p>应用</p><p>在涡轮机维护期间，其他技术和超声波检测技术用来检测由叶片边缘和叶片表面腐蚀引起的损坏。因此，GE欧洲解决方案中心开发了一个用户优化的检查系统，可靠地发现可能存在的缺陷。</p><p align="center"><img width="318" height="204" src="/upfile/image/201612/2402017141.jpg" /><br />图1检测设备</p><p>方案</p><p align="center"><img width="554" height="175" src="data:image/png;base64,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" /><br />图2声透射位置</p><p>测试的先决条件是能够接触到涡轮叶片。 通过产生表面波来进行检测。通过把探头耦合到叶片根部区域并沿叶片末端方向扫查能够达到最好的效果。进行扫查沿着压力面或吸力面（I）还是沿着叶片边缘（前-后边缘II和III）进行取决于将被探测的缺陷方向。</p><p>设备要求:USD 15X, USM 36 &amp; Probe: MWB 90-4</p><p align="center"><img width="553" height="185" src="data:image/png;base64,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" /><br />典型的显示指示</p><p>通过扫查II和III,对叶片末端没有缺陷的边缘显示和槽深度为0.5的参考缺陷进行比较。</p><p>超声波表面波检测的特殊特征</p><p>1对从表面（边缘）开始的裂纹和其他损伤部位检测，可以获得较高的灵敏度。</p><p>2处于以上的检测目的，所以表面（边缘）在声波的传播方向上不应该有阻挡反射回波显示的任何残留耦合剂或者其他的残留物。</p><p>3经现场检验证明将探头耦合在固定的位置进行检测，不需要沿着纵轴移动探头，只需要绕着垂直轴旋转探头就可以对缺陷进行定位</p><p>4在探头耦合面的切割一个导向槽（纵向槽），可以使对叶片边缘的检测更容易。</p><p>优点：</p><p>1确保高质量的检测等级</p><p>2免除破坏性试验改善工艺节约成本</p>]]></description><pubdate><![CDATA[2016-12-24 2:00:44]]></pubdate><category><![CDATA[特殊应用]]></category><author><![CDATA[Teampower（译）]]></author></item><item><title>重型设备的齿轮齿检测</title><link>http://www.ndt168.com/teshuyingyong/170.html</link><description><![CDATA[<p style="text-indent:2em;">重型设备的齿轮齿检测</p><p align="center"><img src="/upfile/image/201612/0814395969.jpg" /><br />图1：齿轮齿检测</p><p style="text-indent:2em;"><strong>应用：</strong>齿轮是重型设备日常操作和运转中的重要构件。在拉铲挖土机、卡车，挖土机及如矿石破碎机和输送系统的加工设备中有不同的齿轮。经常检查其工况以检测裂缝或者其他造成意外停机的缺陷是非常重要的。</p><p style="text-indent:2em;"><strong>解决方案：</strong>通过从斜面或者齿轮齿根部增长的裂缝通过采用接触相控阵列探头扇形扫描进行检测。推荐采用4MHz工作频率以获得缺陷的高分辨率图像。为获得高检测覆盖范围，将探头耦合每个齿的顶部及斜面。低断面指尖探头可以接近该斜面，且耐磨连接面在与金属齿进行接触时防止探头磨损，且不需要延迟块</p><p align="center"><img width="307" height="221" src="data:image/png;base64,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" /><br />图2：MB4FPA16</p><p align="center"><img width="306" height="195" src="data:image/png;base64,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" /><br />图3：扇形扫描显示齿轮齿根部的缺陷</p><p style="text-indent:2em;">如图3，当从齿斜面检测，你能发现一个缺陷起源于齿轮齿根部。当你上下移动探头，检测到缺陷在扇形扫描的角位置移动。</p><p align="center"><img width="301" height="190" src="data:image/png;base64,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" /><br />图4：扇形扫描显示斜面上的缺陷</p><p style="text-indent:2em;">如图4，当从齿轮齿顶部检测时，能够发现一个处于齿轮齿斜面上的缺陷。由于这个缺陷位于声束击打到齿轮的边沿位置，所以它被显示在大的折射角度。在0°位置大的反射信号，是来自于齿轮底面反射。</p><p style="text-indent:2em;"><strong>解决方案基本信息：</strong></p><p style="text-indent:2em;">直射波接触式相控阵探头MB4FPA16</p><p style="text-indent:2em;">超声波相控阵探伤仪：Phsor XS</p><p style="text-indent:2em;"><strong>特点：</strong></p><p style="text-indent:2em;">高质量检测及探测的能力</p><p style="text-indent:2em;">不需要延迟块的直接接触防磨损探头</p>]]></description><pubdate><![CDATA[2016-12-8 14:37:37]]></pubdate><category><![CDATA[特殊应用]]></category><author><![CDATA[Teampower（译）]]></author></item><item><title>烧结金属分类</title><link>http://www.ndt168.com/teshuyingyong/169.html</link><description><![CDATA[<p style="text-indent:2em;"><strong>应用：</strong>在过去几年中，粉末冶金属部件在工业中变得越来越流行，粉末金属具有铸造，锻造机加工等不具备的优势，粉末金属部件更具成本效益，具有较少的原料废料，需要较少的能量生产，并且具有可容易地为每个客户定制的冶金特性。</p><p align="center"><img alt="" src="/upfile/image/201612/0814368723.jpg" /></p><p style="text-indent:2em;">制造粉末金属部件的关键因素之一是烧结，不正确烧结的部件将不具有适当的材料特性，导致可能的部件故障，在过去，工件需要经过破坏性试验以验证正确的烧结，但是只能在在每个批次的小样本上进行。涡流检测通常用于检测每一个没有损坏的构件并且非常及时。</p><p style="text-indent:2em;"><strong>方案：</strong>使用Phasec工业2200和一个50型号平表面探头就可以区分适当的和不适当的粉末金属材料，由于绿色部分的晶粒结构是不同于烧结部分的，材料的电阻率也发生了变化，当用涡流检测时，由于工件电阻率的变化，会导致输出的信号变化，从而进行分类。</p><p style="text-indent:2em;"><strong>检测技术：</strong>仪器首先要经过校准才能区分好的和不好的工件，利用自动或半自动检测根据相位角的变化区别烧结和非烧结的材料，在空气中零点被设置并在屏幕的左边显示，当探头放置于合理的烧结部分，信号会以较低的幅度移动到屏幕的右下角，当探头放置在不合理的烧结部分，信号会移动到较高屏幕较高部位的右上角。</p><p align="center"><img alt="" src="/upfile/image/201612/0814362465.jpg" /><br /><img alt="" src="/upfile/image/201612/0814368638.jpg" /></p><p style="text-indent:2em;"><strong>一般解决方案条件：</strong></p><p style="text-indent:2em;">1、涡流设备</p><p style="text-indent:2em;">Phasec 2200i(PRN:072-100-072)</p><p style="text-indent:2em;">定位器2s(PRN:39I004)</p><p style="text-indent:2em;">Phasec2s(PRN:40I001</p><p style="text-indent:2em;">2、50＂表面探头(PRN:632-763-002)</p><p style="text-indent:2em;"><strong>优点：</strong></p><p style="text-indent:2em;">1、不完全烧结或仍绿色成分的检测</p><p style="text-indent:2em;">2、防止错误生产的工件被进一步加工或安装</p><p style="text-indent:2em;">3、储存和检索数据对检测样品进行比较</p><p style="text-indent:2em;">4、对工间进行实时检测</p>]]></description><pubdate><![CDATA[2016-12-8 14:32:52]]></pubdate><category><![CDATA[特殊应用]]></category><author><![CDATA[Teampower（译）]]></author></item></channel></rss>