Tessellated Rod Heatsink Configuration Generation
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Solution Overview
Problem
Existing heatsink designs are constrained by assumed topologies, limiting their thermal efficiency and preventing full optimization, as they conform to standard shapes rather than identifying novel, non-standard geometries.
Innovation Solution
A method involving a computer-executed process that generates a heatsink configuration by iteratively removing and adding tessellated rods based on thermal evaluation parameters, allowing for the creation of non-parameterizable geometries that optimize thermal performance without relying on adjoint solutions or optimizers, using a combination of additive and subtractive techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If standard topology optimization methods are used, then heatsink designs conform to assumed topologies, but this limits the ability to identify novel, non-standard geometries that may achieve superior thermal performance
Solution Approach 1:
The heatsink base is divided into multiple discrete rod elements arranged in a grid pattern, allowing independent modification of each rod. This segmentation enables the formation of non-standard geometries by selectively adding or removing rods, thereby achieving geometric flexibility without being constrained by assumed topologies while maintaining manufacturability through modular construction
Solution Approach 2:
The invention transitions from traditional continuous topology optimization to a discrete, multi-scale rod-based representation. By organizing rods in a grid arrangement and allowing operations at multiple scales (adding/removing individual rods or groups of rods), the method enables exploration of novel geometries in configuration space that would be inaccessible to conventional single-scale topology optimization
2Reliability
If additive design techniques are used to allow fins to grow, then thermal performance can be optimized, but the process requires iterative design cycles until performance gains are achieved
Solution Approach 1:
The method performs preliminary thermal simulations on the initial heatsink configuration with rods arranged in a grid pattern to identify thermal bottlenecks and heat transfer characteristics before beginning the optimization process. This preliminary analysis guides subsequent rod addition or removal operations, reducing the number of iterative cycles needed by starting with an informed design rather than blind iteration
Solution Approach 2:
The optimization process incorporates feedback from thermal simulations at each iteration. After adding or removing rods, the modified configuration is simulated to assess thermal performance changes. This feedback loop allows the algorithm to adaptively adjust the heatsink geometry based on actual thermal behavior, efficiently converging on optimal designs while minimizing unnecessary iterative cycles
3Reliability
If subtractive design based on mass removal is used, then thermal property values can be optimized, but portions must be selected based on thermal contribution which requires complex evaluation
Solution Approach 1:
The method assigns different functional weights to rods based on their local thermal contribution and position in the heatsink structure. rods are evaluated and prioritized for removal or addition based on their specific thermal properties and geometric context, allowing targeted optimization of high-impact regions while maintaining overall thermal efficiency with simpler evaluation criteria
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables the identification of highly efficient, non-standard heatsink geometries that surpass traditional designs by continuously improving thermal performance until a predetermined constraint is met, offering globally optimal thermal efficiency and ease of fabrication.
Implementation Method 1
A heatsink is a passive heat exchanger that transfers heat generated by a device to a fluid medium where the heat is dissipated
Implementation Method 2
the heat sink has a base and plate fins, and each fin has specified dimensions
Data Source
AI summary
A method, executed by at least one processor of a computer, of generating a heatsink configuration meeting a predetermined performance constraint is disclosed. The method includes establishing an initial heatsink configuration having a heatsink base including at least one layer formed of a plurality of tessellated rods and setting a thermal evaluation parameter. An initial thermal simulation of a heat source positioned proximate the heatsink base is performed to determine the initial thermal performance of the heatsink. Based on the initial thermal simulation, three revised heatsink configurations are examined, and simulations are carried out to generate first, second, and third revised thermal performances. These are compared with an initial thermal performance, and the heatsink configuration showing the greatest improvement in thermal performance compared with the initial thermal performance is selected. This process is repeated until a heatsink configuration meeting the predetermined performance constraint is generated.