Application and Analysis of the New Functional Materials of Foam Aluminum

As a typical metal foams materials, aluminum foam which is a new type of functional materials has excellent properties of sound absorption and damping. In view of its complex internal micro-structure, on the basis of microcosmic cell theory, the paper set a BCC model of sound absorption of aluminum foam that can control its structure and size parameters such as porosity and aperture in micro-structural. The paper gets parameter factors of aluminum foam structure and size and studies its effect to sound absorption of aluminum foam though micro-modeling and proceeds experiment verification. Its turn out that this BCC model can apply to the research of aluminum foam sound absorption, and it can control the sound absorption of aluminum foam through controlling the microcosmic size of aluminum foam cell

Application and Analysis of the New Functional Materials of Foam Aluminum

As a typical metal foams materials, aluminum foam which is a new type of functional materials has excellent properties of sound absorption and damping. In view of its complex internal micro-structure, on the basis of microcosmic cell theory, the paper set a BCC model of sound absorption of aluminum foam that can control its structure and size parameters such as porosity and aperture in micro-structural. The paper gets parameter factors of aluminum foam structure and size and studies its effect to sound absorption of aluminum foam though micro-modeling and proceeds experiment verification. Its turn out that this BCC model can apply to the research of aluminum foam sound absorption, and it can control the sound absorption of aluminum foam through controlling the microcosmic size of aluminum foam cell

The analysis of vibration response of air-cooled refrigerator excited by reciprocating compressor

The features of large-capacity and multi temperature zones of air-cooled refrigerators are favored by consumers. However, the vibration of different components caused by the vibrations of different components in the operation process brings certain troubles to people's lives. In order to achieve better vibration and noise reduction of the refrigerator, the vibration characteristics of the air-cooled refrigerator are analyzed under the excitation of compressor, selects four detection points, and uses simulation methods to obtain the excitation of the compressor. In addition to the impact of the vibration source on the refrigerator, the assembly of refrigerator door is also an important factor of the refrigerator vibration. The experimental process has also found that the air-cooled system also has an impact on the vibration and noise generation of the refrigerator

Deep Adaptive Adversarial Network-Based Method for Mechanical Fault Diagnosis under Different Working Conditions

The demand for transfer learning methods for mechanical fault diagnosis has considerably progressed in recent years. However, the existing methods always depend on the maximum mean discrepancy (MMD) in measuring the domain discrepancy. But MMD can not guarantee the different domain features to be similar enough. Inspired by generative adversarial networks (GAN) and domain adversarial training of neural networks (DANN), this study presents a novel deep adaptive adversarial network (DAAN). The DAAN comprises a condition recognition module and domain adversarial learning module. The condition recognition module is constructed with a generator to extract features and classify the health condition of machinery automatically. The domain adversarial learning module is achieved with a discriminator based on Wasserstein distance to learn domain-invariant features. Then spectral normalization (SN) is employed to accelerate convergence. The effectiveness of DAAN is demonstrated through three transfer fault diagnosis experiments, and the results show that the DAAN can converge to zero after approximately 15 training epochs, and all the average testing accuracies in each case can achieve over 92%. It is expected that the proposed DAAN can effectively learn domain-invariant features to bridge the discrepancy between the data from different working conditions

The analysis of vibration response of air-cooled refrigerator excited by reciprocating compressor

The features of large-capacity and multi temperature zones of air-cooled refrigerators are favored by consumers. However, the vibration of different components caused by the vibrations of different components in the operation process brings certain troubles to people's lives. In order to achieve better vibration and noise reduction of the refrigerator, the vibration characteristics of the air-cooled refrigerator are analyzed under the excitation of compressor, selects four detection points, and uses simulation methods to obtain the excitation of the compressor. In addition to the impact of the vibration source on the refrigerator, the assembly of refrigerator door is also an important factor of the refrigerator vibration. The experimental process has also found that the air-cooled system also has an impact on the vibration and noise generation of the refrigerator