The Stability Analysis of FOAM-X Software in Porous Fiber Absorption Material

机译：多孔纤维吸收材料泡沫-X软件的稳定性分析

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

Five parameters are often used in acoustic modeling of porous absorption material, which are air flow resistivity σ, porosity Φ, tortuosity α∞, viscous and thermal characteristic lengths Λ and Λ′. These parameters are not easy to be directly tested, especially the latter three parameters. One software capable of identifying inversely these parameters from impedance tube test results becomes increasingly popular. However, its detail stability analysis is rarely reported till now. This paper studies its stability on those porous fiber materials generally applied in vehicle interior trim, such as PET fiber, shoddy, PP/PET mixed fiber. Some conclusions are obtained. (1) The identification of α∞, Λ and Λ′ is always stable when σ and Φ are assumed in advance. Furthermore, high correlation coefficient is obtained if σ and Φ are assumed reasonably, which means high precision of identification. (2) The identification of Φ, α∞, Λ and Λ′ is stable in most cases when σ is assumed in advance. However, the identified porosity is often 1.0 for high porosity material. In this case, it might as well assume Φ to be 0.99. (3) Given Φ only in advance, the identification of other parameters is sensitive to the fluctuation of frequency span, but insensitive to the fluctuation of vacuum bulk density. (4) Assumed that all parameters are unknown in advance, the identification becomes more sensitive. In the latter two cases, the identified parameters should be carefully checked combining with a prior knowledge about fibrous material, so as to meet high correlation coefficient.

机译：五个参数通常用于多孔吸收材料的声学建模，其是空气流动电阻率σ，孔隙率φ，曲折感αν，粘性和热特性长度λ和λ'。这些参数不易直接测试，尤其是后三个参数。一种能够从阻抗管测试结果识别这些参数的一个软件变得越来越受欢迎。然而，它的细节稳定性分析很少报告到目前为止。本文研究其稳定性对通常施用于车辆内部装饰的多孔纤维材料，例如PET纤维，脱晶，PP / PET混合纤维。获得了一些结论。（1）当预先假定Σ和φ时，αν，λ和λ'的识别始终是稳定的。此外，如果合理地假设σ和φ，则获得高相关系数，这意味着高精度的识别。（2）在大多数情况下，φ，αν，λ和λ'的识别是稳定的，当预先假定σ时。然而，对于高孔隙率材料，所识别的孔隙率通常为1.0。在这种情况下，它可能认为φ为0.99。（3）仅给出φ只是预先，识别其他参数对频率跨度的波动敏感，但对真空堆积密度的波动不敏感。（4）假设所有参数预先未知，识别变得更加敏感。在后两种情况下，应仔细检查所识别的参数与关于纤维材料的先验知识，以满足高相关系数。

著录项

来源
《SAE Noise and Vibration Conference and Exhibition》|2015年|1 Electronic text data|共11页
会议地点
作者
Quan Wan;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类 U464-53;
关键词

相似文献

外文文献
中文文献
专利

1. Analysis on the influence factors of the acoustic absorption performance of porous fiber materials [J] . Lijun Li, Fuxiang Dong, Xianyue Gang, International journal of modeling, simulation and scientific computing . 2021,第1期

机译：多孔纤维材料声吸收性能影响因素分析
2. Numerical study on the influence of fiber cross-sectional shapes on the sound absorption efficiency of fibrous porous materials [J] . Applied Acoustics . 2020,第Jula期

机译：纤维截面形状对多孔纤维材料吸声效率影响的数值研究
3. Sound absorption performance of porous metal fiber materials with different structures [J] . Wang Jianzhong, Ao Qingbo, Ma Jun, Applied Acoustics . 2019,第FEBa期

机译：不同结构的多孔金属纤维材料的吸声性能
4. The Stability Analysis of FOAM-X Software in Porous Fiber Absorption Material [C] . Quan Wan SAE Noise and Vibration Conference and Exhibition . 2015

机译：多孔纤维吸收材料泡沫-X软件的稳定性分析
5. Analysis of acoustic damping in duct terminated by porous absorption materials based on analytical models and finite element simulations. [D] . Guan Qiming. 2015

机译：基于分析模型和有限元模拟，对多孔吸收材料终止的管道中的声阻尼进行分析。
6. Parameter identification of sound absorption model of porous materials based on modified particle swarm optimization algorithm [O] . Xiaomei Xu, Ping Lin 2021

机译：基于修饰粒子群优化算法的多孔材料吸声模型参数识别
7. ABSTRACTudThe purpose of this research is to obtain an optimal formulations of Black mulberry leaves dried noodle product by using Design Expert Application with Design Mixture D-optimal method.udThis research was done with two phases. The preliminary procedures research is to determine levels of antioxidant activity, chlorophyll content, and the levels of tannin that was contained in black mulberry leaves, the black mulberry leaf flour, a pare fruits, and pare flour. Primary research is to determine the best formulation by using a Mixture Design Expert Design D-optimal method, for a purpose is to optimized the Black mulberry leaf dry noodle. Responses in this studies are a chemical analysis response by using a crude fiber analysis and protein analysis. Physical response is water absorption. Sensory response are color, flavor, and odor.udBlack mulberry leaves dried noodles was made from wheat flour, black mulberry leaf flour, and pare flour, other materials such as an eggs, water, salt, and sodium bicarbonate, of the 16 formulations that has offered to produce an optimal formulation based on desirability which contains 39.69 Flour,14.25 Black Mulberry Leaves flour, 3.06 Pare fruit and flour amounted, and other materials are 30 water, 10 eggs, 2 salt, and 1 sodium bicarbonate. The formulation has been result by program 11,05 crude fiber content, 12.93 protein, 274.31 water absorption, 4,31 for color attribute, 3,87 for taste attribute, and 3,71 for aroma attribute.ududKeyword: Black mulberry leaf dried noodles, optimization. [O] . Leti Nurlatifah Alumni, Yudi Garnida DS, Tantan Widiantara DS 2017

机译：抽象 ud本研究的目的是通过使用带有Design Mixture D-最优方法的Design Expert Application获得黑桑叶干面条产品的最佳配方。 ud这项研究分两个阶段进行。初步程序研究是确定抗氧化剂活性，叶绿素含量以及黑桑叶，黑桑叶粉，果皮和果皮中所含单宁的含量。首要研究是通过使用Mixture Design Expert Design D-optimal方法确定最佳配方，目的是优化黑桑叶干面条。本研究中的反应是通过使用粗纤维分析和蛋白质分析进行的化学分析反应。物理反应是吸水。感官反应是颜色，味道和气味。黑桑叶干面条由小麦粉，黑桑叶粉和削皮粉，鸡蛋，水，盐和碳酸氢钠等其他材料制成，这16种配方可根据需要提供最佳配方其中包含39.69％的面粉，14.25％的黑桑叶面粉，3.06％的去皮水果和面粉，其他材料是30％的水，10％的鸡蛋，2％的盐和1％的碳酸氢钠。该配方是通过程序11,05％的粗纤维含量，12.93％的蛋白质，274.31％的吸水率，4.31的颜色属性，3,87的味道属性和3,71的芳香属性得出的。 ud关键字：黑桑叶干面条，优化。
8. Characterization of porous carbon fibers and related materials [R] . Fuller, E. L. 1996

机译：多孔碳纤维及相关材料的表征

The Stability Analysis of FOAM-X Software in Porous Fiber Absorption Material

摘要

著录项

相似文献

相关主题

期刊订阅