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Defect Detection in Additive Manufacturing Utilizing Long Pulse Thermography

机译:利用长脉冲热像仪检测增材制造中的缺陷

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摘要

Additive Manufacturing (AM), over the years, has seen a tremendous amount of research for improving the manufacturability of materials into final products. The main advantages of additive manufacturing are the minimizing of waste material as it is an additive process. As well as the ability to create custom low-volume products without the need for creation of expensive tooling or programming before manufacturing begins. Because of these advantages, however, AM is susceptible to unique challenges in the quality side of manufacturing. These challenges include minimizing and detecting defects during the build. The focus of this research looks at the capability of using Pulse Thermography (PT), a nondestructive testing method, with longer than typical pulse length on additively manufactured parts for surface and sub-surface defect detection as well as thermal property determination based on a known void depth.;The first and second part of this research will look at a range of pulse lengths greater than 100ms to determine if the previously defined assumption is necessary for accurate defect detection. The significance of increasing the pulse length is to have the ability to increase the overall energy input into the part without having to increase the power. Allowing for the capability of defect detection for both shallow and deeper defects with the same overall setup. One-dimensional simulations r using Forward Time Center Space (FTCS) approximation, show that the assumption of an instantaneous pulse is relative, and defects can be accurately calculated within a range of pulse lengths. Based on the simulations, experimentation was conducted to determine the capability of calculating sub-surface defect depths with a longer pulse on a FDM printed ABS part with 100% in fill. The defect depths will range from 0.3mm to 1.8mm and the widths of the defects used for depth calculation will be 8x8mm. Results of the experiments show that even with FDM printed parts defect depths were accurately calculated up to a depth of 1.2mm.;The third aspect of this research looks at the infrared reflections emitting off the surface during the longer pulse. With a longer pulse length, there is more time for the infrared camera to collect thermograms of the surface during the pulse. It was noticed during sub-surface defect detection that the infrared reflections paint a picture of the surface characteristics of the part. Characteristics that include surface imperfections not intended in the original build parameters such as under extrusions and cracks. Defects as small as 150mum with a thermal pixel resolution 75mum are detected.;The third and final aspect of this research looks at the ability to use PT with a longer pulse to determine thermal properties of a binder jetted additively manufactured part as well as packing factors that may be otherwise be unknown. When a product is binder jetted a chemical binder is added to the powder layer by layer until a product is formed.
机译:多年来,增材制造(AM)进行了大量的研究,以提高材料到最终产品的可制造性。增材制造的主要优点是将增材制造过程中的废料减至最少。能够创建定制的小批量产品,而无需在制造开始之前创建昂贵的工具或程序。但是,由于这些优点,AM在制造质量方面容易受到独特挑战。这些挑战包括在构建期间最小化和检测缺陷。这项研究的重点在于使用脉冲热成像(PT)(一种无损测试方法)的能力,该方法具有比典型脉冲长的长度,可以在增材制造的零件上进行表面和亚表面缺陷检测以及基于已知的热性能确定本研究的第一部分和第二部分将研究大于100ms的脉冲长度范围,以确定是否需要使用先前定义的假设进行准确的缺陷检测。增加脉冲长度的意义在于具有增加输入到零件的总能量的能力,而不必增加功率。允许使用相同的总体设置对浅层和深层缺陷进行缺陷检测。使用前向时间中心空间(FTCS)逼近的一维模拟r显示,瞬时脉冲的假设是相对的,并且可以在一定的脉冲长度范围内准确地计算出缺陷。基于模拟,进行了实验以确定在填充率为100%的FDM打印的ABS零件上使用更长的脉冲来计算表面缺陷深度的能力。缺陷深度范围为0.3mm至1.8mm,用于深度计算的缺陷宽度为8x8mm。实验结果表明,即使使用FDM打印的零件,缺陷深度也可以精确计算到1.2mm的深度。本研究的第三方面着眼于较长脉冲期间从表面发射的红外反射。脉冲长度较长时,红外摄像机有更多时间在脉冲过程中收集表面的热分析图。在次表面缺陷检测过程中注意到,红外反射描绘了零件的表面特征。包括表面缺陷的特征,这些缺陷不是原始构造参数所希望的,例如在挤压和裂缝下。检测到小至150mum的缺陷以及75mum的热像素分辨率。这项研究的第三和最后一个方面着眼于使用具有较长脉冲的PT来确定粘合剂喷射的增材制造零件的热性能以及填充系数的能力否则可能是未知的。当喷射产品粘合剂时,将化学粘合剂逐层添加到粉末中,直到形成产品。

著录项

  • 作者

    Pierce, James.;

  • 作者单位

    University of South Florida.;

  • 授予单位 University of South Florida.;
  • 学科 Mechanical engineering.
  • 学位 M.S.M.E.
  • 年度 2018
  • 页码 107 p.
  • 总页数 107
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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