Laser-Bonded Composite Strength Prediction Through Layered Modeling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Accurately predicting the strength of composite materials combining metal and non-metal is challenging, leading to potential design flaws in machine tools, such as increased susceptibility to damage or excessive sturdiness, which hinders energy efficiency improvements.
Innovation Solution
A strength prediction method involving the establishment of an initial geometric model, setting material properties, generating layer models, and performing tensile test simulations to determine the bonding strength of laser-bonded composite materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional strength prediction methods are used for composite materials, then design process is simple, but simulation accuracy of bonding strength is insufficient leading to under-design or over-design
Solution Approach 1:
The patent segments the composite material model into distinct metal and non-metal components with separate geometric models. Each material type receives specialized material property parameters, allowing accurate simulation of their different mechanical behaviors under laser bonding and tensile loads, thereby improving bonding strength prediction accuracy.
Solution Approach 2:
The patent implements parameter changes by assigning different material property parameters to metal and non-metal components based on their respective material information. The layer formation parameters (thickness, quantity) are also varied to reflect actual composite structure, enabling accurate simulation of bonding strength without excessive complexity.
2Use of energy by moving object
If composite materials are used to reduce weight and energy consumption, then energy efficiency improves, but accurate strength prediction becomes challenging
Solution Approach 1:
The patent explicitly models composite materials combining metal and non-metal components with distinct material properties. By creating separate geometric models for each material type and assigning appropriate material parameters, the system accurately predicts bonding strength of composite structures, enabling weight reduction while maintaining structural integrity.
Solution Approach 2:
The patent applies local quality by assigning different material property parameters to different regions (metal vs. non-metal components) within the composite structure. This localized parameter assignment allows accurate prediction of bonding strength at metal-non-metal interfaces, ensuring reliable strength prediction for energy-efficient composite machine tools.
Data Source
AI summary
A strength prediction method for laser bonded composite materials includes the following steps: establishing an initial geometric model that includes an initial solid geometric model and an initial surface geometric model in contact with each other; receiving metal material information, non-metal material information and layer formation parameters; setting material property parameters of the initial solid geometric model according to the metal material information to generate a solid model; generating a layer model according to the non-metal material information and a layer thickness and a layer quantity that are included in the layer formation parameters; setting material property parameters of the initial surface geometric model according to the layer model to generate a surface model; setting connection between the solid model and the surface model as laser bonding to generate a composite structural model; and performing a tensile test simulation to the composite structural model to obtain a simulation result.