The falling ball rebound data is a key index to evaluate the elasticity of foam, which provides an important direction for the optimization of foam formula. Through in-depth analysis of falling ball rebound test data, the internal relationship between foam performance and formula composition can be grasped, and then the formula can be adjusted to improve the quality of foam products.

Firstly, it is necessary to accurately interpret the rebound data of the falling ball. High rebound rate indicates good elasticity of foam; Low rebound rate means that the elasticity of foam is insufficient. If the rebound rate does not meet the expected standard, it is necessary to analyze the reasons from the perspective of formula composition. For example, the amount of foaming agent may affect the pore structure of foam, and too much or too little will change the density and elasticity of foam. The type and molecular weight of polymer matrix are also key. Different polymer matrix endows foam with different mechanical properties, and the molecular weight will also affect the intermolecular force, thus affecting the resilience of foam. In addition, the type and content of additives such as plasticizer and stabilizer will also affect the elasticity of foam.

Based on the rebound data of the falling ball, a formula adjustment strategy can be formulated. If the rebound rate is low, the amount of foaming agent can be appropriately reduced to reduce the porosity of foam and increase the density of foam, thus improving the elasticity. Choosing a polymer matrix with better elasticity or adjusting its molecular weight distribution to enhance intermolecular cohesion can also help improve rebound performance. Adding an appropriate amount of plasticizer can improve the flexibility of the polymer molecular chain, making foam easier to recover after being stressed; The addition of stabilizer can stabilize the pore structure of foam and reduce the elastic loss caused by structural instability.

Formula optimization is not achieved overnight and requires multiple experimental validations. After each adjustment of the formula, a new drop ball rebound test must be conducted to collect new data. Compare rebound data under different formulations, analyze performance trends, and summarize adjustment effects. Through multiple rounds of testing, constantly fine-tuning the formula, gradually finding the optimal formula combination that meets performance requirements. Optimizing the foam formula based on the falling ball rebound data can realize the regulation of product performance and improve the competitiveness of enterprises in the market.