Power and Thermal Modeling of In-3D-Memory Computing

Author(s):  
Jun-Han Han ◽  
Robert E. West ◽  
Karina Torres-Castro ◽  
Nathan Swami ◽  
Samira Khan ◽  
...  
Keyword(s):  
2018 ◽  
Author(s):  
Vedant Bhuyar ◽  
Shiv Ram Suthar ◽  
Mohit Vijay ◽  
Prodyut R. Chakraborty

2015 ◽  
Vol 2015 (6) ◽  
pp. 5907-5927
Author(s):  
Paul J Usinowicz ◽  
George Lecakes ◽  
Thomas C Spear ◽  
Zack Burger ◽  
Charles Oclassen ◽  
...  

2018 ◽  
Vol 129 ◽  
pp. 218-230 ◽  
Author(s):  
Mehrdad Mastali ◽  
Evan Foreman ◽  
Ali Modjtahedi ◽  
Ehsan Samadani ◽  
Amir Amirfazli ◽  
...  

Author(s):  
Vahid Shiravand ◽  
Jawad Faiz ◽  
Mohammad Hamed Samimi ◽  
Mohammad Djamali
Keyword(s):  

2021 ◽  
Vol 11 (3) ◽  
pp. 1020
Author(s):  
Mohamadreza Afrasiabi ◽  
Hagen Klippel ◽  
Matthias Roethlin ◽  
Konrad Wegener

Smoothed Particle Hydrodynamics (SPH) is a mesh-free numerical method that can simulate metal cutting problems efficiently. The thermal modeling of such processes with SPH, nevertheless, is not straightforward. The difficulty is rooted in the computationally demanding procedures regarding convergence properties and boundary treatments, both known as SPH Grand Challenges. This paper, therefore, intends to rectify these issues in SPH cutting models by proposing two improvements: (1) Implementing a higher-order Laplacian formulation to solve the heat equation more accurately. (2) Introducing a more realistic thermal boundary condition using a robust surface detection algorithm. We employ the proposed framework to simulate an orthogonal cutting process and validate the numerical results against the available experimental measurements.


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