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The application of electromagnetic NDT method to the inspection of non-ferrous cast materials

机译:电磁无损检测方法在有色金属铸造材料检测中的应用

摘要

Inspection of non-ferrous cast material is routinely carried out looking for casting defects inherent for the manufacturing process. The NDT methods employed are Radiography and Ultrasonics, primarily for sub-surface or internal defects and Penetrants fo r surface breaking defects. Electromagnetic techniques have not been used on cast material except maybe for conductivity determination. This limitation resulting fi7om the surface roughness normally associated with cast surfaces and the fact the other techniques mention above have been very successful in finding and evaluating the discontinuities sought. The possible application of Electromagnetic techniques on surfaces in the as-cast condition of non-ferromagnetic material came about because of specific problems experienced by industry. Two major investigations were offered namely; 1) Investigation of CNC material - CuNiCr [1.6%Cr] castings exhibiting oxide entrapment in the form of networks. 2) Investigation of NAB - Nickel Aluminium Bronze exhibiting selective phase corrosion on immersion in seawater. The detection and measurement of both oxide entrapment and phase selective corrosion was difficult and in cases impossible with conventional NDT methods employed for quality control of these material/component types. Time of Flight DiMaction Ultrasonics did give some 50% detectability of phase selective corrosion, but the method was found to be expensive and very time consuming. The metallurgical properties of the material and morphology of the defects have been studied for both Cupro Nickel Chromium and Nickel Aluminium Bronze cast alloys. An investigation was then conducted to study the effects of eddy current signals and their potential in detecting, both linear and cluster type defects which were predominantly interdendritic with some reported as intergranular in nature. For inspecting Cupro Nickel Chromium castings two successful eddy current methods have been developed. Detection of surface flaws was achieved by high frequency [2MHzj examination and subsurface flaws by using low frequencies [1--'IKHz] but using specifically developed sensors that provided good penetration but maintained sensitivity to the fine defects. In the case of Nickel Aluminium Bronze material, the investigation was to look at electromagnetic techniques, which best utilizes the inherent feature of permeability/conductivity associated with this non- ferromagnetic material and any changes that phase selective corrosion may produce. Some meaningful results were obtained using a combination of edd'y current excitation with detection via magneto -re s istive sensors. Testing through 30-40mm of material to detect small magnetic variation produced by only 1-2 mm of corrosion penetration was difficult to quantify. Detection and assessment however appeared hopeful when examination was carried out from the corroded surface. With quantifiable samples a meaningful technique using eddy current excitation and magneto-resistive sensor for detection can be developed.
机译:通常对有色金属铸造材料进行检查,以查找制造过程中固有的铸造缺陷。所采用的无损检测方法是射线照相法和超声波法,主要用于表面下或内部缺陷以及表面破坏缺陷的渗透剂。除可能用于电导率测定外,尚未在铸造材料上使用电磁技术。这种限制导致通常​​与铸造表面有关的表面粗糙度以及上述其他技术在找到和评估所寻求的不连续性方面非常成功。在非铁磁材料的铸态条件下,电磁技术在表面上的可能应用是由于工业上遇到的特定问题而引起的。提供了两个主要的调查: 1)CNC材料的研究-CuNiCr [1.6%Cr]铸件表现出网状形式的氧化物夹带。 2)研究NAB-镍铝青铜在浸入海水中时表现出选择性的相腐蚀。氧化物截留和相选择腐蚀的检测和测量都是困难的,在使用常规NDT方法进行这些材料/组分类型的质量控制的情况下是不可能的。飞行时间DiMaction Ultrasonics确实提供了约50%的相选择性腐蚀可检测性,但发现该方法昂贵且非常耗时。对铜镍铬合金和镍铝青铜铸造合金都研究了材料的冶金性能和缺陷的形态。然后进行了一项研究,以研究涡流信号的影响及其在检测线性和簇状缺陷(主要是枝晶间缺陷,其中一些据称是晶间缺陷)方面的潜力。为了检查铜镍铬合金铸件,已经开发出两种成功的涡流方法。表面缺陷的检测是通过高频[2MHzj检查]进行的,而表面缺陷则是通过使用低频[1-'IKHz]进行的,但要使用专门开发的传感器,该传感器具有良好的穿透性,但对细小缺陷的敏感性仍然很高。对于镍铝青铜材料,研究将着眼于电磁技术,该技术最能充分利用与这种非铁磁材料相关的磁导率/电导率的固有特征以及相选择腐蚀可能产生的任何变化。涡流激励与磁阻传感器检测相结合,获得了一些有意义的结果。通过30-40mm的材料进行测试以检测仅1-2 mm的腐蚀渗透所产生的微小磁变化很难量化。但是,从腐蚀的表面进行检查时,检测和评估似乎很有希望。利用可量化的样本,可以开发出一种有意义的技术,该技术利用涡流激励和磁阻传感器进行检测。

著录项

  • 作者

    Lock M W B; Dulay Didar Singh;

  • 作者单位
  • 年度 2003
  • 总页数
  • 原文格式 PDF
  • 正文语种 English
  • 中图分类

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