Reinforcing Phase Floating Time Prediction for Composite Solder Stability
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Solution Overview
Problem
The reliability of solder joints in miniaturized electronic devices is compromised due to the poor wettability and agglomeration of reinforcing phases in solder alloys, which leads to weakened composite soldering materials and performance deterioration, as existing methods lack a theoretical understanding of agglomeration and floating behavior.
Innovation Solution
A method and system for predicting the critical floating time of a reinforcing phase using particle concentration, half-life, agglomeration kinetics, and floating time processing models, considering initial particle size, mass fraction, viscosity, and densities, to accurately determine the critical floating time and suppress agglomeration and floating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If the addition amount of reinforcing phase is reduced, then the floating and agglomeration is suppressed, but the strengthening effect is weakened
Solution Approach 1:
The patent applies parameter changes by modifying the surface properties of reinforcing phase particles through surface treatment or coating, which changes the interaction parameters between particles and solder alloy. This allows maintaining higher addition amounts without excessive agglomeration, thus resolving the contradiction between suppressing floating/agglomeration and preserving strengthening effect.
Solution Approach 2:
The patent introduces surface treatment layers or coating materials as intermediaries between the reinforcing phase particles and the solder alloy. These intermediaries improve wettability and reduce surface tension differences, preventing agglomeration and floating while allowing higher particle concentrations that maintain strengthening effects.
2Strength
If the addition amount of reinforcing phase is increased, then the strengthening effect is enhanced, but the floating and agglomeration is worsened
Solution Approach 1:
By changing surface energy parameters and wettability characteristics through surface treatment, the patent enables higher reinforcing phase addition amounts to be maintained without triggering severe agglomeration and floating, thus enhancing strengthening effect while preserving distribution stability.
Solution Approach 2:
Surface treatment layers act as intermediaries that reduce direct particle-particle interactions causing agglomeration, allowing higher particle concentrations to be dispersed uniformly in the solder alloy, thereby enhancing strengthening effect while maintaining compositional stability.
3Reliability
If surface treatment of reinforcing phase is applied, then the wettability is improved, but the process complexity is increased
Solution Approach 1:
The patent applies relatively simple surface treatment methods such as oxidation, annealing, or coating with common materials, which modify surface energy parameters and wettability without requiring complex multi-step processes, thus improving reliability while limiting complexity increase.
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 provides theoretical support for suppressing agglomeration and floating, enhancing the reliability of reinforced composite soldering materials and promoting their application by accurately predicting the critical floating time, thus improving solder joint performance.
Implementation Method 1
the nanoparticles in the molten soldering material make a random Brownian motion, collide, and agglomerate
Implementation Method 2
the solder alloy is squeezed out due to surface tension and buoyancy
Implementation Method 3
under the action of molecular thermal motion, the nanoparticles in the molten soldering material make a random Brownian motion, collide, and agglomerate
Implementation Method 4
the nanoparticles in the molten soldering material make a random Brownian motion, collide, and agglomerate
Implementation Method 5
the liquid soldering material has a certain viscosity, which will slow down the floating speed of the reinforcing phase
Data Source
AI summary
The present disclosure relates to a method and system for predicting the critical floating time of a reinforcing phase. According to the method, a particle concentration processing model, a half-life processing model, an agglomeration kinetics model, and a floating time processing model are combined to obtain the critical floating time of a reinforcing phase particle according to an initial particle size of the reinforcing phase particle, a density of the reinforcing phase particle, a mass fraction of the reinforcing phase of a composite soldering material, and a density of the composite soldering material. The method and system can accurately predict the critical floating time of the reinforcing phase particle.