Multi-scale thermal modeling of glass interposer for mobile electronics application

被引:9
|
作者
Cho, Sangbeom [1 ]
Sundaram, Venky [2 ]
Tummala, Rao [2 ]
Joshi, Yogendra [1 ]
机构
[1] Georgia Inst Technol, Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Syst Packaging Res Ctr 3 D, Atlanta, GA 30332 USA
关键词
Multi-scale; Thermal modelling; Interposer; Vapour chamber; 2.5D; OPTIMIZATION; VALIDATION; PACKAGES; DIE;
D O I
10.1108/HFF-09-2015-0378
中图分类号
O414.1 [热力学];
学科分类号
摘要
Purpose - The functionality of personal mobile electronics continues to increase, in turn driving the demand for higher logic-to-memory bandwidth. However, the number of inputs/outputs supported by the current packaging technology is limited by the smallest achievable electrical line spacing, and the associated noise performance. Also, a growing trend in mobile systems is for the memory chips to be stacked to address the growing demand for memory bandwidth, which in turn gives rise to heat removal challenges. The glass interposer substrate is a promising packaging technology to address these emerging demands, because of its many advantages over the traditional organic substrate technology. However, glass has a fundamental limitation, namely low thermal conductivity (similar to 1W/mK). The purpose of this paper is to quantify the thermal performance of glass interposer-based electronic packages by solving a multi-scale heat transfer problem for an interposer structure. Also, this paper studies the possible improvement in thermal performance by integrating a fluidic heat spreader or vapor chamber within the interposer. Design/methodology/approach - This paper illustrates the multi-scale modeling approach applied for different components of the interposer, including Through Package Vias (TPVs) and copper traces. For geometrically intricate and repeating structures, such as interconnects and TPVs, the unit cell effective thermal conductivity approach was used. For non-repeating patterns, such as copper traces in redistribution layer, CAD drawing-based thermal resistance network analysis was used. At the end, the thermal performance of vapor chamber integrated within a glass interposer was estimated by using an enhanced effective thermal conductivity, calculated from the published thermal resistance data, in conjunction with the analytical expression for thermal resistance for a given geometry of the vapor chamber. Findings - The limitations arising from the low thermal conductivity of glass can be addressed by using copper structures and vapor chamber technology. Originality/value - A few reports can be found on thermal performance of glass interposers. However thermal characteristics of glass interposer with advanced cooling technology have not been reported.
引用
收藏
页码:1157 / 1171
页数:15
相关论文
共 50 条
  • [41] Multi-scale modeling of dislocation processes
    Hartley, CS
    MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2001, 319 : 133 - 138
  • [42] MULTI-SCALE MODELING FOR GRANULAR FLOWS
    Zhao, Xiang
    Zhang, Sijun
    PROCEEDINGS OF THE ASME FLUIDS ENGINEERING DIVISION SUMMER CONFERENCE -2008, VOL 1, PT A AND B, 2009, : 181 - 191
  • [43] Multi-scale computational modeling and simulation
    Kwon, Y. W.
    PROGRESS IN ENGINEERING COMPUTATIONAL TECHNOLOGY, 2004, : 127 - 152
  • [44] Multi-scale modeling and thermal transfer properties of electric heating fabrics system
    Yang, Yunchu
    Qian, Jiangrui
    Chen, Yang
    INTERNATIONAL JOURNAL OF CLOTHING SCIENCE AND TECHNOLOGY, 2019, 31 (06) : 825 - 838
  • [45] Modeling thermal conductivity of aerogel-incorporated concrete: A multi-scale approach
    Han, Fenglei
    Lv, Yang
    Liang, Te
    Zhang, Xuefu
    Yu, Wenbing
    Fu, Xintao
    Deng, Kaiyu
    CONSTRUCTION AND BUILDING MATERIALS, 2024, 450
  • [46] Modeling thermal conductivity of hemp insulation material: A multi-scale homogenization approach
    Nguyen, S. T.
    Tran-Le, A. D.
    Vu, M. N.
    To, Q. D.
    Douzane, O.
    Langlet, T.
    BUILDING AND ENVIRONMENT, 2016, 107 : 127 - 134
  • [47] Multi-scale thermal modeling, experimental validation, and thermal characterization of a high-power lithium-ion cell for automobile application
    Tahir, M. Wasim
    Merten, Clemens
    ENERGY CONVERSION AND MANAGEMENT, 2022, 258
  • [48] Multi-scale analysis of solder interconnects in micro-electronics
    Geers, M. G. D.
    Erinc, M.
    Matin, M. A.
    EUROSIME 2009: THERMAL, MECHANICAL AND MULTI-PHYSICS SIMULATION AND EXPERIMENTS IN MICRO-ELECTRONICS AND MICRO-SYSTEMS, 2009, : 551 - 556
  • [49] Multi-scale modeling method based on EMD-LSSVM and its application
    He, X. (trees241@163.com), 1737, Chinese Society of Astronautics (42):
  • [50] MST-Gait: Application of Multi-scale Temporal Modeling to Gait Recognition
    Shen, Yuzhuo
    Yan, Fei
    Liu, Lan
    Li, Siyu
    Liu, Yunqing
    PATTERN RECOGNITION AND COMPUTER VISION, PRCV 2024, PT XV, 2025, 15045 : 334 - 348