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  4. Analysis of stress in spherically bent thinned image sensors
 
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2022
Conference Paper
Title

Analysis of stress in spherically bent thinned image sensors

Abstract
Thinning of silicon ship allows bending of the chip during assembly. A curved surface of an imager chip allows reducing the complexity of an objective, i.e., the number of lenses, and by that further miniaturization of optic modules is possible. This paper reports the results of investigations to analyze the process induced stress within thinned image sensors using 50 μm thick silicon chips. At first, the stress generated in the bending process of the chip is evaluated by finite element (FE) simulations. Mechanical simulations show that compressive stress is concentrated in the center and on the edges of the chip. These results are validated by experimental investigation: the thinned silicon chips, are bonded on a spherically curved glass substrate, of radius 60 mm using an adhesive interconnect. The resulting stress is measured by micro-Raman spectroscopy (μRaman). The stress distribution on the chip obtained by the FE simulation is qualitatively equal to the distribution measured by the μ-Raman. However, a difference in the measured value of stress generated on the surface of the chip from the simulative approach are observed, which reveals that the process sequence and the bonding parameter in the adhesive bonding play an important role.
Author(s)
Pandey, Amit
Technische Hochschule Ingolstadt
Bhogaraju, Sri Krishna
Technische Hochschule Ingolstadt
Lux, Kerstin
Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI  
Elger, Gordon  
Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI  
Mainwork
23rd International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE 2022)  
Project(s)
Hochauflösende sphärische Umfeldwahrnehmung in 3 Dimensionen für Lastdrohnen im Bereich Transport und Urban Air Mobility
Funder
Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie  
Conference
International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems 2022  
DOI
10.1109/EuroSimE54907.2022.9758847
Language
English
Fraunhofer-Institut für Verkehrs- und Infrastruktursysteme IVI  
Keyword(s)
  • image sensor

  • silicon chip

  • finite element simulation

  • micro-Raman spectroscopy

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