Shape optimization of hotspot targeted micro pin fins for heterogeneous integration applications

•Demonstrated a novel energy-efficient design for hotspot mitigation employing 3D printed pin fins.•Studied the effect of fin geometry in background and hotspot region simultaneously.•Performed detailed parametric study to reduce the number of variables for optimization.•Demonstrated physics informe...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of heat and mass transfer 2022-08, Vol.192, p.122897, Article 122897
Hauptverfasser: Fallahtafti, Najmeh, Rangarajan, Srikanth, Hadad, Yaser, Arvin, Charles, Sikka, Kamal, Hoang, Cong Hiep, Mohsenian, Ghazal, Radmard, Vahideh, Schiffres, Scott, Sammakia, Bahgat
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:•Demonstrated a novel energy-efficient design for hotspot mitigation employing 3D printed pin fins.•Studied the effect of fin geometry in background and hotspot region simultaneously.•Performed detailed parametric study to reduce the number of variables for optimization.•Demonstrated physics informed machine learning coupled with NSGA-II and determined the global optimal solution.•Determined the optimal (minimum) chip to coolant thermal resistance 0f 0.2 K-cm2/W under constrained pressure drop conditions. In the field of high-performance computing (HPC), growing power demands makes Heterogeneous Integration (HI) the future of next-generation computing systems to sustain Moore's law. HI refers to the assembly of different separately-manufactured components onto a single electronic module to enhance functionality and operating characteristics. As a consequence of HI, the next generation of electronic chips have regions of localized hotspots or cores, translating to a region of extremely high temperature if not adequately cooled. The mitigation of hotspots demands advanced thermal management cooling schemes compared to the conventional ones. This study investigates the combination of impingement jet array of liquid water and non-uniform hotspot targeted micro pin fins, printed on chips, as a potential heat transfer augmentation technique. The configuration comprises four 2cm×2cm chips (Total chip area is 16 cm2) with eight hotspots on each. Liquid water is employed as the coolant in the present study. A detailed numerical parametric study and optimization were carried out using a supervised machine learning algorithm. The multi-objective optimization is performed to optimize both the thermal and flow resistances simultaneously. The results from the detailed optimization reveal that optimal fin parameters for the regions of hotspot and background could be significantly different. The optimal pin fin configuration resulted in a minimum thermal resistance of 0.208 K.cm2/W (0.013K/W) at a constrained pressure drop of about 10 kPa.
ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2022.122897