Cooling Control Using Time-Based Temperature Variation
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Solution Overview
Problem
Existing cooling systems for electronic devices face challenges in effectively managing temperature variations, leading to potential thermal runaway and reduced device reliability, especially in high-power CMOS circuits where traditional air-cooling methods are insufficient.
Innovation Solution
A method is introduced that monitors operational variables over time and adjusts cooling system control to limit temperature variations, using a modular refrigeration unit with controllable expansion valves and PID control loops to maintain optimal temperatures, and performs predictive failure analysis to schedule maintenance or replacement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional air-cooling methods are used for electronic devices, then the cooling system is simple and easy to implement, but the cooling effectiveness is insufficient for high-power CMOS circuits leading to thermal runaway
Solution Approach 1:
The patent transitions from air-cooling to liquid-cooling systems, using refrigerants in vapor-compression cycles and liquid coolant loops with evaporators and condensers. This hydraulic approach provides superior heat transfer coefficients and cooling effectiveness for high-power electronic devices while maintaining manageable system complexity through modular design
Solution Approach 2:
The patent utilizes phase transitions of refrigerants (evaporation and condensation) in vapor-compression cooling cycles to achieve efficient heat removal. The refrigerant absorbs heat during evaporation and releases heat during condensation, providing high cooling capacity that overcomes the limitations of air-cooling for high-power CMOS circuits
2Duration of action of stationary object
If cooling systems operate without monitoring, then the system operation is simple, but temperature variations can lead to thermal degradation and reduced device longevity
Solution Approach 1:
The patent implements feedback control systems with temperature sensors that continuously monitor component temperatures and adjust cooling system operation accordingly. The controller receives temperature signals and modulates refrigerant flow, compressor operation, or coolant pump speed to maintain optimal temperatures, thereby extending device longevity through active thermal management
Solution Approach 2:
The patent employs predictive failure analysis that monitors operational variables over time to detect early signs of cooling system degradation. By analyzing trends in temperature variations and system performance, the system schedules maintenance or replacement before actual failures occur, extending the operational life of both cooling systems and electronic components
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 enhances the reliability and longevity of electronic components by dynamically adjusting cooling systems to prevent thermal degradation, reducing the risk of failures and extending the lifespan of cooling systems.
Implementation Method 1
the cooling liquid may be in direct or indirect contact with the electronic component to be cooled
Implementation Method 2
performance of the liquid cooling system can be a significant factor in the performance of the electronic component (e.g., processor, multichip module, or server) being cooled
Data Source
AI summary
Automated control of a cooling system cooling at least one electronic component is provided. The control includes monitoring over a period of time variation of an operational variable of the cooling system or of the at least one electronic component, and based, at least in part, on variation of the operational variable over the period of time, automatically determining whether to adjust control of the cooling system to limit variation of the operational variable. In one implementation, depending on the variation of the operational variable, and whether control of the cooling system has been previously adjusted, the method may further include automatically determining a probability of fail or an expected residual life of the cooling system, and responsive to the predicted probability of fail exceeding a first acceptable threshold or the expected residual life being below a second acceptable threshold, automatically scheduling for a cooling system repair or replacement.