Non-Destructive Failure Analysis and Measurement for Molded Devices and Complex Assemblies with X-ray CT and 3D Image Processing Techniques

نویسندگان

  • Xiaoming YIN
  • Jia LIEW
  • Ting Ying JIANG
  • Jian XU
چکیده

In both automotive and healthcare sectors, reliable failure analysis and accurate measurement of molded devices and complex assemblies are important. Current methods of failure analysis and measurement require these molded parts to be cross-sectioned so that internal features or dimensions can be accessible. As a result, the parts are deemed unusable and additional failure introduced by sectioning may cause misinterpretation of the results. X-ray CT and 3D image processing techniques provide a new nondestructive solution for failure analysis and measurement of molded devices and complex assemblies. These techniques simplify failure analysis and measurement of molded devices and assemblies, and improve the productivity of molding manufacturing significantly.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Empirical correlation for porosity deduction from X-ray computed tomography (CT)

For obtaining reservoir petrophysical properties, for example porosity, non-destructive methods such as X-ray computed tomography, CT, seems to be precise and accurate. Porosity is deducted from the CT image with a single scan via different techniques, such as pore space detection by image segmentation techniques then correlation with porosity. More than one hundred samples with carbonate li...

متن کامل

Diagnosis of COVID-19 Disease Using Lung CT-scan Image Processing Techniques

Introduction: Today, several methods are used for detecting COVID-19 such as disease-related clinical symptoms, and more accurate diagnostic methods like lung CT-scan imaging. This study aimed to achieve an accurate diagnostic method for intelligent and automatic diagnosis of COVID-19 using lung CT-scan image processing techniques and utilize the results of this method as an accurate diagnostic...

متن کامل

Extraction and 3D Segmentation of Tumors-Based Unsupervised Clustering Techniques in Medical Images

Introduction The diagnosis and separation of cancerous tumors in medical images require accuracy, experience, and time, and it has always posed itself as a major challenge to the radiologists and physicians. Materials and Methods We Received 290 medical images composed of 120 mammographic images, LJPEG format, scanned in gray-scale with 50 microns size, 110 MRI images including of T1-Wighted, T...

متن کامل

Non Destructive Failure Analysis Technique With a Laboratory Based 3D X-ray Nanotomography System

X-ray computed tomography (CT) is a powerful nondestructive 3D imaging technique, which enables the visualization of the three dimensional internal structure of opaque materials such as semiconductor devices. Reports of high resolution CT research on life science, materials and semiconductor has mainly been confined to synchrotron radiation centers. This severely limits the availability and acc...

متن کامل

Shearlet-Based Adaptive Noise Reduction in CT Images

The noise in reconstructed slices of X-ray Computed Tomography (CT) is of unknown distribution, non-stationary, oriented and difficult to distinguish from main structural information. This requires the development of special post-processing methods based on the local statistical evaluation of the noise component. This paper presents an adaptive method of reducing noise in CT images employing th...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013