Topology Optimization for Convective Cooling Channel Design
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Solution Overview
Problem
Designing effective convective cooling systems is challenging due to the need for in-depth understanding of fluid dynamics and thermal transfer, often resulting in a time-consuming trial-and-error process, especially when using traditional CAD design software for applications like injection molding and automotive manufacturing.
Innovation Solution
An automated method using topology optimization techniques to generate efficient convective cooling channel designs, considering multiple objectives such as channel flow pressure drop, heat removal, temperature range, temperature uniformity, fluid volume, and manufacturability, which includes data input, iterative numerical simulation, and sensitivity analysis to optimize channel geometry.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional trial-and-error design procedure is used, then design understanding of fluid dynamics and thermal transfer is improved, but design time is significantly increased
Solution Approach 1:
The patent replaces the manual trial-and-error design process with an automated computer-based optimization system. The system uses numerical simulations and algorithms to automatically generate and evaluate cooling channel designs, substituting human iterative testing with computational automation that simultaneously improves design quality and reduces time consumption.
Solution Approach 2:
The optimization system performs self-evaluation of design candidates through automated numerical simulations. The computer automatically assesses multiple design options based on predefined criteria (pressure drop, heat removal, temperature uniformity) without requiring manual intervention, enabling the system to self-optimize designs efficiently.
2Adaptability or versatility
If manual cooling channel design is performed using existing CAD software, then design flexibility is maintained, but design efficiency is significantly reduced
Solution Approach 1:
The patent replaces manual CAD operations with an automated optimization system that integrates with CAD software. The system automatically generates 3D cooling channel models based on numerical optimization results, maintaining design flexibility while dramatically improving efficiency by eliminating manual design steps.
Solution Approach 2:
The optimization system provides multi-functionality by simultaneously performing numerical simulation, optimization calculation, and 3D model generation. This integrated approach allows the system to handle multiple design tasks automatically, improving productivity while maintaining the ability to adapt to different design requirements.
3Temperature
If complex cooling channel geometry is designed to optimize heat removal, then heat transfer performance is improved, but manufacturing complexity is increased
Solution Approach 1:
The optimization system adjusts geometric parameters of cooling channels to find the optimal balance between heat transfer performance and manufacturability. By systematically varying parameters such as channel diameter, curvature radius, and spacing, the system identifies designs that achieve effective cooling while remaining feasible for manufacturing.
Solution Approach 2:
The system applies different geometric characteristics to different regions of the cooling channel based on local thermal requirements. Areas with higher heat flux receive optimized channel configurations for maximum heat removal, while other regions use simpler geometries that are easier to manufacture, achieving local optimization throughout the system.
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 significantly reduces the design time by automatically generating multiple efficient cooling channel designs, optimizing heat removal, and ensuring manufacturability, while providing editable geometry models for further design processes.
Implementation Method 1
Convective cooling is an efficient way of removing heat from a source by flowing fluids such as air, water and special coolants through a channel
Data Source
AI summary
A method, apparatus, and system provide the ability to design a convective cooling channel in a computer. Input data is acquired and includes a geometry of an object to be cooled, a design objective, and boundary conditions. Channel designs corresponding to the input data are generated using an iterative topology optimization. One of the channel designs is selected and output.