Vibration Proof Rubber Evaluation Using Finite Element Matrices
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Solution Overview
Problem
The existing methods for evaluating vibration-proof rubbers are time-consuming and require significant expertise, especially in selecting designs that meet multiple performance standards, as they involve lengthy endurance tests and require knowledge of specific design parameters like shape and material.
Innovation Solution
A performance evaluation apparatus that uses finite element method analysis data to generate matrices for different design parameters, allowing for weighting processing to prioritize design options based on threshold values, thereby simplifying the selection of suitable vibration-proof rubber designs that meet specific standards.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If endurance tests are conducted to evaluate vibration proof rubber performance, then reliability of performance evaluation is improved, but time required for evaluation increases significantly
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing analysis data for multiple vibration proof rubber designs with different shapes, sizes, and materials through finite element method simulations. This preparation is done before actual selection needs to occur, so that when evaluation is needed, the pre-computed data can be quickly retrieved and compared against endurance targets without conducting time-consuming physical tests.
Solution Approach 2:
The patent uses copying by creating virtual models and simulation data that replicate the behavior of physical vibration proof rubbers. Instead of testing physical prototypes, the system creates digital copies through finite element analysis, generating analysis data that mirrors real-world performance. This allows multiple designs to be evaluated virtually and simultaneously, dramatically reducing evaluation time while maintaining reliability.
2Measurement precision
If multiple analysis data are collected for different design information, then selection accuracy is improved, but complexity of the selection process increases
Solution Approach 1:
The patent merges multiple analysis data sets for different design variations into a unified selection system. The storage portion consolidates analysis data from various finite element simulations, and the evaluation portion integrates these data with endurance targets to produce a coordinated selection outcome. This merging allows comprehensive evaluation of multiple designs without requiring separate complex processes for each.
Solution Approach 2:
The patent applies parameter changes by systematically varying design parameters such as shape, size, and material properties in the finite element simulations. The system generates analysis data for multiple parameter combinations and stores them with associated metadata. This structured parameter variation allows the evaluation portion to efficiently compare how different parameter settings affect performance against endurance targets, improving selection accuracy while maintaining organized complexity.
3Productivity
If finite element method analysis is performed for multiple designs, then productivity in the initial concept stage is improved, but computational resources and time investment increase
Solution Approach 1:
The patent applies preliminary action by performing and storing finite element method analyses for multiple design variations in advance. The storage portion maintains this pre-computed analysis data, so that during the initial concept stage, designers can quickly retrieve and evaluate multiple designs without repeating computationally intensive simulations. This preliminary computation dramatically improves productivity when design selection is needed.
Solution Approach 2:
The patent uses copying by creating and storing virtual simulation results that replicate the computational outcomes of finite element analyses. Instead of re-running simulations for each evaluation query, the system retrieves copies of previously computed analysis data. This allows rapid assessment of multiple designs during the concept stage, improving productivity while avoiding repeated computational investments.
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 reduces the time required in the initial development stage by enabling easy selection of vibration-proof rubber designs that meet multiple performance criteria, even for users with limited knowledge or experience, by providing a systematic method for evaluating and prioritizing design options based on endurance targets.
Implementation Method 1
uses the finite element method (FEM) to analyze the rubber products to obtain output data
Data Source
AI summary
A performance evaluation apparatus includes: a storage portion that stores multiple analysis data, an evaluation portion, and an acquisition portion. The analysis data includes: first analysis data obtained by analyzing first input data, acquired by obtaining a load in first direction acting on the vibration proof rubber over a preset time, using finite element method; and second analysis data obtained by analyzing second input data, acquired by obtaining a load in second direction acting on the vibration proof rubber over the preset time, using the finite element method. The evaluation portion generates: a first matrix in which multiple first coordinate data acquired by performing coordinate transformation on the first analysis data are used as a coordinate plane; and a second matrix in which multiple second coordinate data acquired by performing coordinate transformation on the second analysis data are used as a coordinate plane. The evaluation portion sets a priority order.