Precise Detection of Pose and Assembly Error Based on Partial Scan Data for Fabrication of Tubular Joints

Abstract This paper describes the investigation of donut-shaped probe marker discolorations found on Al bondpads. Based on SEM/EDS, TEM/EELS, and Auger analysis, the corrosion product is a combination of aluminum, fluorine, and oxygen, implying that the discolorations are due to the presence of fluorine. Highly accelerated stress tests simulating one year of storage in air resulted in no new or worsening discolorations in the affected chips. In order to identify the exact cause of the fluorine-induced corrosion, the authors developed an automated inspection system that scans an entire wafer, recording and quantifying image contrast and brightness variations associated with discolorations. Dark field TEM images reveal thickness variations of up to 5 nm in the corrosion film, and EELS line scan data show the corresponding compositional distributions. The findings indicate that fluorine-containing gases used in upstream processes leave residues behind that are driven in to the Al bondpads by probe-tip forces and activated by the electric field generated during CP testing. The knowledge acquired has proven helpful in managing the problem.

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Automate Information Extraction from Scan Data

10.21236/ada362095 ◽

1998 ◽

Author(s):

Joseph H. Nurre

Keyword(s):

Information Extraction ◽

Scan Data ◽

Automate Information

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Fatigue Analysis of Welded Tubular Joints

Indian Welding Journal ◽

10.22486/iwj.v16i4.148471 ◽

1984 ◽

Vol 16 (4) ◽

pp. 127 ◽

Cited By ~ 1

Author(s):

V. M. Radhakrishnan

Keyword(s):

Fatigue Analysis ◽

Tubular Joints

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OLD BONES AND NEW TOOLS: ENGAGING FAMILY AUDIENCES IN THE DISCOVERY OF A NEW CRETACEOUS CROCODYLIAN THROUGH ORIGINAL FOSSILS AND TOUCH SCREEN ACCESS TO CT SCAN DATA

10.1130/abs/2018am-323869 ◽

2018 ◽

Author(s):

Rebecca Menlove ◽

◽

Randall B. Irmis ◽

Geoffrey Leonard ◽

Todd Green ◽

...

Keyword(s):

Ct Scan ◽

Touch Screen ◽

Scan Data

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Potential and limitations of finite element modelling in assessing structural integrity of coralline algae under future global change

Biogeosciences ◽

10.5194/bg-12-5871-2015 ◽

2015 ◽

Vol 12 (19) ◽

pp. 5871-5883 ◽

Cited By ~ 7

Author(s):

L. A. Melbourne ◽

J. Griffin ◽

D. N. Schmidt ◽

E. J. Rayfield

Keyword(s):

Climate Change ◽

Finite Element ◽

Structural Integrity ◽

Geometric Model ◽

Algal Growth ◽

Coralline Algae ◽

Rocky Shores ◽

Element Analysis ◽

Scan Data ◽

The Impact

Abstract. Coralline algae are important habitat formers found on all rocky shores. While the impact of future ocean acidification on the physiological performance of the species has been well studied, little research has focused on potential changes in structural integrity in response to climate change. A previous study using 2-D Finite Element Analysis (FEA) suggested increased vulnerability to fracture (by wave action or boring) in algae grown under high CO2 conditions. To assess how realistically 2-D simplified models represent structural performance, a series of increasingly biologically accurate 3-D FE models that represent different aspects of coralline algal growth were developed. Simplified geometric 3-D models of the genus Lithothamnion were compared to models created from computed tomography (CT) scan data of the same genus. The biologically accurate model and the simplified geometric model representing individual cells had similar average stresses and stress distributions, emphasising the importance of the cell walls in dissipating the stress throughout the structure. In contrast models without the accurate representation of the cell geometry resulted in larger stress and strain results. Our more complex 3-D model reiterated the potential of climate change to diminish the structural integrity of the organism. This suggests that under future environmental conditions the weakening of the coralline algal skeleton along with increased external pressures (wave and bioerosion) may negatively influence the ability for coralline algae to maintain a habitat able to sustain high levels of biodiversity.

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Development of a Prognostic Model to Predict Mortality after Traumatic Brain Injury in Intensive Care Setting in a Developing Country

Journal of Neurosciences in Rural Practice ◽

10.1055/s-0041-1726623 ◽

2021 ◽

Vol 12 (02) ◽

pp. 368-375

Author(s):

Mini Jayan ◽

Dhaval Shukla ◽

Bhagavatula Indira Devi ◽

Dhananjaya I. Bhat ◽

Subhas K. Konar

Keyword(s):

Traumatic Brain Injury ◽

Intensive Care ◽

Brain Injury ◽

Hospital Mortality ◽

Prognostic Model ◽

Third Ventricle ◽

The Third ◽

Scan Data ◽

Gcs Score ◽

Basal Cisterns

Abstract Objectives We aimed to develop a prognostic model for the prediction of in-hospital mortality in patients with traumatic brain injury (TBI) admitted to the neurosurgery intensive care unit (ICU) of our institute. Materials and Methods The clinical and computed tomography scan data of consecutive patients admitted after a diagnosis TBI in ICU were reviewed. Construction of the model was done by using all the variables of Corticosteroid Randomization after Significant Head Injury and International Mission on Prognosis and Analysis of Clinical Trials in TBI models. The endpoint was in-hospital mortality. Results A total of 243 patients with TBI were admitted to ICU during the study period. The in-hospital mortality was 15.3%. On multivariate analysis, the Glasgow coma scale (GCS) at admission, hypoxia, hypotension, and obliteration of the third ventricle/basal cisterns were significantly associated with mortality. Patients with hypoxia had eight times, with hypotensions 22 times, and with obliteration of the third ventricle/basal cisterns three times more chance of death. The TBI score was developed as a sum of individual points assigned as follows: GCS score 3 to 4 (+2 points), 5 to 12 (+1), hypoxia (+1), hypotension (+1), and obliteration third ventricle/basal cistern (+1). The mortality was 0% for a score of “0” and 85% for a score of “4.” Conclusion The outcome of patients treated in ICU was based on common admission variables. A simple clinical grading score allows risk stratification of patients with TBI admitted in ICU.

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