Solder Fatigue Modeling for Downhole Electronics Reliability
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Solution Overview
Problem
The existing design-build-test-fix process for oilfield electronic equipment is inefficient due to multiple iterations of prototyping and physical verification and validation tests, primarily caused by the failure of solder joints, which leads to increased development time and cost.
Innovation Solution
A method is developed to model and predict the damage accumulation of oilfield electronic equipment in simulated downhole environments, incorporating coupled random vibration and thermal cycling, followed by repeated shock at high temperatures, to quantify the operational lifetime of solder joints and reduce testing iterations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple iterations of prototyping and physical verification and validation tests are conducted, then reliability of solder joints is improved, but development time and cost increase
Solution Approach 1:
The patent applies preliminary action by conducting virtual verification and validation tests through computational modeling before physical prototyping. The solder joint reliability model predicts fatigue life and identifies potential failures in the design phase, allowing designers to make corrections before manufacturing physical prototypes, thereby reducing the need for multiple iterative tests
Solution Approach 2:
The patent uses copying by creating a virtual model of the solder joint system that replicates the physical system's behavior under thermal cycling conditions. This digital twin or computational model allows for virtual testing and validation, replacing or reducing the need for repeated physical prototyping and testing iterations
2Reliability
If multiple iterations of prototyping and physical verification and validation tests are conducted, then reliability of solder joints is improved, but development cost increases
Solution Approach 1:
The patent applies preliminary action by conducting virtual verification and validation tests through computational modeling before physical prototyping. The solder joint reliability model predicts fatigue life and identifies potential failures in the design phase, allowing designers to make corrections before manufacturing physical prototypes, thereby reducing the need for multiple iterative tests
Solution Approach 2:
The patent uses copying by creating a virtual model of the solder joint system that replicates the physical system's behavior under thermal cycling conditions. This digital twin or computational model allows for virtual testing and validation, replacing or reducing the need for repeated physical prototyping and testing iterations
3Loss of time
If physical verification and validation testing is reduced, then development time is shortened, but prediction accuracy of solder joint lifetime may be compromised
Solution Approach 1:
The patent applies parameter changes by incorporating multiple physical parameters into the computational model, including thermal cycling conditions, material properties, geometric characteristics, and loading conditions. The model uses these parameters to accurately predict solder joint fatigue life, maintaining prediction accuracy while reducing the need for physical testing
Solution Approach 2:
The patent replaces the mechanical physical testing system with a computational modeling system. The solder joint reliability model uses numerical methods and algorithms to simulate thermal cycling effects and predict fatigue life, substituting physical verification with virtual analysis that maintains accuracy while reducing time and cost
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 allows for the prediction of fatigue life and damage in oilfield electronic equipment, shortening development time and costs by identifying potential failures before prototyping and accelerating the time to market.
Implementation Method 1
The simulated downhole environment is complex including coupled random vibration and thermal cycling followed by repeated shock at high temperature
Implementation Method 2
Solder joints are the primary cause of failure in electronic equipment used in oilfield applications... quantify the damage to the electronic equipment over its expected operational lifetime
Data Source
AI summary
The present disclosure models the testing of oilfield electronic equipment that operate in high temperature downhole environments (possibly with large vibrational loading) in order to quantify the damage to the electronic equipment over its expected operational lifetime. The simulated downhole environment is complex and includes coupled random vibration and thermal cycling followed by repeated shock at high temperature. In embodiments, the proposed methods and system measure non-linear damage accumulation of the electronic equipment in this simulated downhole environment.