返回
Optimized adhesive application
DOI:10.1016/j.ijadhadh.2024.103620.png)
摘要
En 中文
In the manufacturing industry, the process of applying adhesive to join two substrates can be challenging. It requires precise placement of adhesive so that it is distributed in the desired pattern, ensuring a strong bond between the substrates. Overfilling is a common practice to ensure that the bond is not underfilled after the substrates are pressed together. However, this approach leads to unnecessary adhesive waste and can result in additional cleaning work. To address these issues, an optimization algorithm has been developed that can compute an initial adhesive pattern to flow into any desired geometry. The algorithm is based on a transient squeeze flow simulation, which iteratively removes fluid material as it flows out of the target bond domain. For example, to obtain a square bond geometry after a parallel squeezing process, the adhesive needs to be initially applied in a star shape. However, the algorithm is highly adaptable and can be used for many desired bond geometries as shown in this paper. The results are independent of the mesh resolution and fluid flow law, thus eliminating the need for complex rheological fluid characterization. The algorithm requires only two input parameters, namely the target bond geometry and the degree of compression. This highly simplifies the adaption of the proposed optimization method for manufacturers, and their design requirements can be considered with ease. The results are reliable and consistent despite the simulation's complexity. Overall, this new optimization methodology represents a significant advance in adhesive application technology, eliminating the need of overfilling and thus making the manufacturing process more efficient, sustainable and cost-effective.
Keyword:
Squeeze flow
Topology optimization
ESO
BESO
Fluid simulation
Adhesive bonding
Adhesive application
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.5
论文数:
3.9K
被引数:
9.6K
机构
引用论文
Convergent and mesh-independent solutions for the bi-directional evolutionary structural optimization method双向进化结构优化方法的收敛和网格无关解
SURF: A connectivity-based space filling curve construction algorithm in high genus 3D surface WSNsSURF: 一种基于连通性的高属三维曲面WSNs空间填充曲线构建算法
Bi-directional evolutionary topology optimization of continuum structures with one or multiple materials具有一种或多种材料的连续体结构的双向进化拓扑优化

