A Graph-Based Model of Micro-Transfer Printing for Cost-Optimized Heterogeneous 2.5D Systems
| Autor: | Tilman Horst, Jens Lienig, Robert Fischbach |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Flexibility (engineering)
021103 operations research Computer science business.industry 0211 other engineering and technologies 02 engineering and technology Cost reduction Transfer printing micro-transfer printing dies wafers high throughput stamp cost reduction heterogeneous systems Independent set Transfer (computing) Hardware_INTEGRATEDCIRCUITS 0202 electrical engineering electronic engineering information engineering Key (cryptography) 020201 artificial intelligence & image processing Wafer business Throughput (business) Computer hardware |
| Zdroj: | 2019 International 3D Systems Integration Conference (3DIC) 3DIC |
| DOI: | 10.1109/3DIC48104.2019.9058886 |
| Popis: | Micro-transfer printing (μTP) is a promising assembly technology that enables heterogeneous integration of dies originating from different wafers. It combines the advantages of pick-and-place in terms of flexibility with the advantages of wafer-level processing in terms of high throughput. μTP applies an elastomer stamp to transfer multiple dies from source to target wafers in parallel. Increasing the stamp size allows for the transfer of more dies at once and reciprocally shortens the manufacturing time, enabling extensive cost reductions. On the other hand, larger stamps result in a lower wafer utilization, thereby causing increases in costs. Finding the cost-optimal stamp layout is one of the key tasks when designing heterogeneous systems for μTP. There is no trivial solution to calculate the wafer utilization needed to evaluate the quality of a stamp layout. Based on a graph problem known as maximum independent set, we propose a model to determine the wafer utilization subject to the stamp and wafer layout. We demonstrate the application of our model within an economic cost function to optimize a μTP design with regard to manufacturing costs. |
| Databáze: | OpenAIRE |
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