Application of automatic fringe analysis techniques in the automotive industry

1993 ◽  
Author(s):  
Clive H. Buckberry ◽  
David P. Towers
Author(s):  
R.K. Jain ◽  
T. Malik ◽  
T.R. Lundquist ◽  
C.-C. Tsao ◽  
W.J. Walecki

Abstract Novel Fabry Perot [1] fringe analysis techniques for monitoring the etching process with a coaxial photon-ion column [2] in the Credence OptiFIB are reported. Presently the primary application of these techniques in circuit edit is in trenching either from the front side or from the backside of a device. Optical fringes are observed in reflection geometry through the imaging system when the trench floor is thin and semi-transparent. The observed fringes result from optical interference in the etalon formed between the trench floor (Si in the case of backside trenching) and the circuitry layer beyond the trench floor. In-situ real-time thickness measurements and slope correction techniques are proposed that improve endpoint detection and control planarity of the trench floor. For successful through silicon edits, reliable endpoint detection and co-planarity of a local trench is important. Reliable endpoint detection prevents milling through bulk silicon and damaging active circuitry. Uneven trench floor thickness results in premature endpoint detection with sufficient thickness remaining in only part of the trench area. Good co-planarity of the trench floor also minimizes variability in the aspect ratios of the edit holes, hence increasing success rates in circuit edit.


Optik ◽  
2020 ◽  
Vol 212 ◽  
pp. 164683
Author(s):  
T.Z.N. Sokkar ◽  
M.A. El-Bakary ◽  
M.I. Raslan ◽  
N.A. AL-kalali ◽  
E.Z. Omar

2019 ◽  
Vol 3 (1) ◽  
pp. 47-54
Author(s):  
Ridwan Jazai ◽  
Edi Subiyantoro ◽  
Harmono Harmono

This research aims to know the influence of EPS, ROI and EVA against the stock return company automotive in indonesia stock exchange (idx) period of 2014 – 2017. This type of research using quantitative (Eksplanatory Research). The population of the research was a manufacturing company in particular the automotive industry by using purposive sampling methods, where there are sample amounted to 12 companies. Research data is secondary data obtained from annual report of manufacturing companies in particular the automotive industry from the year 2014-2017. Data analysis techniques using multiple linear regression. The results of this study indicate that the variable EPS, ROI and EVA simultaneously has effect significantly to stock return. While partially EPS positive effect significantly to stock return, ROI positive effect significantly to stock return but EVA has not positive effect significant against stock return.


2021 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Syifa Maulida Fitria ◽  
Sri Suartini

This study aims to see the effect of the effect of turnover, transaction turnover and turnover on the inventory of automotive industry companies listed on the Indonesia Stock Exchange in 2014-2018 as measured by the return of assets either partially or simultaneously. The data analysis technique used in this research is multiple linear regression analysis techniques. The results showed that (1) partially the effect of cash turnover had no positive and insignificant effect on profitability (2) partially the effect of turnover had no positive and insignificant effect on profitability (3) partially the effect of inventory turnover had positive and positive effects significant to profitability.


Author(s):  
Jefferson Lopes La Falce ◽  
Sander Rosa de Laia Mesquita ◽  
Cristiana Fernandes De Muylder ◽  
Jersone Tasso Moreira Silva ◽  
Ernst Verwaal ◽  
...  

This research aims to compare the cultural dimensions of the automotive industry in three countries, Brazil, Argentina, Mexico and discuss Hofstede model. Were using two techniques of analysis, the first being described in the model of Hofstede and Minkov (2013) and the second using the statistical technique indicated by critics of the model (McSweeney, 2013). The results found in regions of Brazil and Mexico indicate that in the same country there may exist different values of cultural dimensions. Regarding the critics indicated in the literature on the model used, this study found evidence in line with the critics that the model, although pointing to cultural differences are not supported by statistically significant differences, to measure and compare cultures between countries. As a contribution, this study indicates the need for the proposed model to consider robust statistical techniques, probabilistic sampling and comparative statistical analysis techniques to prevent misdiagnosis.


2001 ◽  
Author(s):  
Zongtao Ge ◽  
Takayuki Saito ◽  
Shinichi Matsuda ◽  
Mitsuo Takeda

2013 ◽  
Vol 136 (1) ◽  
Author(s):  
Charles E. Andraka ◽  
Scott Sadlon ◽  
Brian Myer ◽  
Kirill Trapeznikov ◽  
Christina Liebner

Reflective mirror facets for concentrating solar power (CSP) systems have stringent requirements on the surface slope accuracy in order to provide adequate system performance. This paper presents a tool that can fully characterize facets quickly enough for 100% inspection on a production line. A facet for a CSP system, specifically a dish concentrator has a parabolic design shape. This shape will concentrate near-parallel rays from the sun to a point (or a line for trough systems). Deviations of surface slope from the design shape impact the performance of the system, either losing power that misses the target or increasing peak fluxes to undesirable levels. During development or production, accurate knowledge of facet defects can lead to improvements to lower cost or improve performance. The reported characterization system, SOFAST (Sandia Optical Fringe Analysis Slope Tool), has a computer-connected camera that images the reflective surface, which is positioned so that it reflects an active target, such as an LCD screen, to the camera. A series of fringe patterns are displayed on the screen while images are captured. Using the captured information, the reflected target location of each pixel of mirror viewed can be determined, and thus through a mathematical transformation, a surface normal map can be developed. This is then fitted to the selected model equation, and the errors from design are characterized. While similar approaches have been explored, several key developments are presented here. The combination of the display, capture, and data reduction in one system allows rapid characterization. An “electronic boresight” approach is utilized to accommodate physical equipment positioning deviations, making the system insensitive to setup errors. Up to 1.5 × 106 points are characterized on each facet. Finally, while prior automotive industry commercial systems resolve the data to shape determination, SOFAST concentrates on slope characterization and reporting, which is tailored to solar applications. SOFAST can be used for facet analysis during development. However, the real payoff is in production, where complete analysis is performed in about 10 s. With optimized coding, this could be further reduced.


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