Semiconductor Thermal Measurement and Management IEEE Twenty First Annual IEEE Symposium, 2005.
DOI: 10.1109/stherm.2005.1412198
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Thermal transient characterization methodology for single-chip and stacked structures

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Cited by 48 publications
(16 citation statements)
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“…After this point we see fast rise in the temperature for the NG boundary where the air gap represents an important obstacle in the heat-flow. Using the NID method, these transient responses can be easily turned into structure functions, which describe the heat-flow path in terms of thermal resistances and corresponding thermal capacitances [6,7,8]. The cumulative structure function gives information on the volume of the material in which the heat spreads, while its other view, the differential structure function is proportional to the area of the spreading cone.…”
Section: Sampleidmentioning
confidence: 99%
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“…After this point we see fast rise in the temperature for the NG boundary where the air gap represents an important obstacle in the heat-flow. Using the NID method, these transient responses can be easily turned into structure functions, which describe the heat-flow path in terms of thermal resistances and corresponding thermal capacitances [6,7,8]. The cumulative structure function gives information on the volume of the material in which the heat spreads, while its other view, the differential structure function is proportional to the area of the spreading cone.…”
Section: Sampleidmentioning
confidence: 99%
“…References [5] and [6] suggest an inflexion point approach to find an average Rth corresponding to an effective cooling capability. Now point 6 shows the simple numerical average between the two extreme volumes.…”
Section: Comparison Of the Test Samplesmentioning
confidence: 99%
“…Various features (areas of higher or lower gradient usually) of a structure function curve can be directly mapped to physical objects in a device [1] and as such structure function comparison analysis has been used to determine issues with manufacturing processes and to identify causes of thermal performance degradation and failure. [2,3,4,5] The concept of mapping structure function features to physical objects makes these curves a convenient format to compare simulation results to experimental data for simulation model calibration purposes. Any mismatch can be associated with a specific model object or objects, providing insight as to what aspects of the simulation model need to be corrected.…”
Section: Introductionmentioning
confidence: 99%
“…Comparison of an experimentally measured structure function (SF) to a verified reference example can be used to judge issues such as manufacturing process quality and operational degradation as a leading indicator of a catastrophic failure [1,2,3,4].…”
Section: Introductionmentioning
confidence: 99%