• Transactions of the Korean Society of Automotive Engineers
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• v.19 no.5
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• pp.125-133
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• 2011

The wear of rubber track being in contact with the road surface is an important subject because it decreases the traction performance and the operating efficiency of tracked vehicle. For the above reasons, many attempts have been made to quantitatively calculate the rubber track. However, it depends on the experimental methods which are highly time- and cost-consuming. Therefore, the numerical simulation approach is highly desirable, but it needs to model the complex geometry and the material behavior in details as well as the interaction with the road surface. In this study, the rubber track and its material behavior are elaborately modeled since these factors are very important in the prediction of the wear rate of the rubber track. Accordingly to the studies on the rubber wear by previous investigations, it has been found that the wear is greatly influenced by the frictional energy. The frictional energy of rubber track is computed by utilizing the 3D finite element analysis of the rubber track, and the wear rate is evaluated making use of the frictional energy and a wear model.

• Korean Journal of Human Ecology
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• v.22 no.4
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• pp.637-650
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• 2013

The purpose of this study was to examine the consumers' image and factors of wear comfort, expectation and satisfaction levels of wear comfort of hiking gear in order to investigate the consumer perception of wear comfort of hiking gear. The questionnaires were distributed to 400 people in their 40s and 50s and, 260 of which were used to data analysis. The questionnaires were comprised of questions about the image, factors, expectation and satisfaction levels of wear comfort of hiking gear, and demographic characteristics. Data were analyzed by frequency analysis, factor analysis, reliability analysis, correlation analysis, ANOVA, Duncan test, T-test with SPSS 19.0 IBM for Windows. In demographic characteristics, 43.5% of respondents were male and people under 45 years of age were at 17.7%, those between 46 and 50 with 46.5%, those between 51 and 55 with 28.9%, those between 56 and 60 with 6.9%. The results of this study are as follows. Responses of male and female consumers to image of wear comfort were similar and ten or more mentioned reponses by men were well-being and freedom from pain, stretchability, light weight, absorption of sweat, softness. Wear comfort of hiking gear was shown to include mobility/pressure factors, moisture factor, psychological factor, tactile/keeping body temperature factors. It was shown that the expectation and satisfaction levels of wear comfort of hiking gear were relatively high and were not influenced by consumer's sex and age, but were affected by the objective of mountaineering.

• Geomechanics and Engineering
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• v.35 no.6
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• pp.647-663
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• 2023

The investigation of the disc cutter wear prediction has an important guiding role in TBM equipment selection, project planning, and cost forecasting, especially when tunneling in a long-distance rock formations with high strength and high abrasivity. In this study, a comprehensive database of disc cutter wear data, geological properties, and tunneling parameters is obtained from a 1326 m excavated metro tunnel project in leptynite in Shenzhen, China. The failure forms and wear consumption of disc cutters on site are analyzed with emphasis. The results showed that 81% of disc cutters fail due to uniform wear, and other cutters are replaced owing to abnormal wear, especially flat wear of the cutter rings. In addition, it is found that there is a reasonable direct proportional relationship between the uniform wear rate (WR) and the installation radius (R), and the coefficient depends on geological characteristics and tunneling parameters. Thus, a preliminary prediction formula of the uniform wear rate, based on the installation radius of the cutterhead, was established. The correlation between some important geological properties (K_V and UCS) along with some tunneling parameters (F_n and p) and wear rate was discussed using regression analysis methods, and several prediction models for uniform wear rate were developed. Compared with a single variable, the multivariable model shows better prediction ability, and 89% of WR can be accurately estimated. The prediction model has reliability and provides a practical tool for wear prediction of disc cutter under similar hard rock projects with similar geological conditions.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 1998.10a
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• pp.115-123
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• 1998

The morphological analysis of wear particle is a very effective means for machine condition monitoring and fault diagnosis. In order to describe morphology of various wear particle, the wear test was carried out under different experimental conditions. And fractal descriptors was applied to boundary and surface of wear particle with image processing system. These descriptors to analyze shape and surface wear particle are shape fractal dimension and surface fractal dimension. The shape fractal dimension can be derived from the boundary profile and surface fractal dimension can be determined by sum of intensity difference of surface pixel. The morphology of wear particles can be effectively obtained by two fractal dimensions.

• Tribology and Lubricants
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• v.18 no.2
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• pp.147-152
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• 2002

The morphological analysis of wear particle is a very effective means fur machine condition monitoring and fault diagnosis. In order to describe morphology of various wear particle, the wear test was carried out under friction experimental conditions. And fractal descriptors was applied to boundary and surface of wear particle with image processing. These descriptors to analyze shape and surface of wear particle are shape fractal dimension and surface fractal dimension. The boundary fractal dimension can be derived from the boundary profile and surface fractal dimension can be determined by sum of intensity difference of surface pixel. The morphology of wear particles can be effectively obtained by two fractal parameter.

• Transactions of the Korean Society of Machine Tool Engineers
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• v.12 no.5
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• pp.53-58
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• 2003

Wear debris can be collected from the lubricants of operating machinery and its morphology is directly related to the fiction condition of the interacting materials from which the wear particles originated in lubricated machinery. But in order to predict and estimate working conditions, it is need to analyze the shape characteristics of wear debris and to identify. Therefore, if the shape characteristics of wear debris is identified by computer image analysis and the neural network, The four parameter (50% volumetric diameter, aspect, roundness and reflectivity) of wear debris are used as inputs to the network and learned the friction. It is shown that identification results depend on the ranges of these shape parameters learned. The three kinds of the wear debris had a different pattern characteristic and recognized the friction condition and materials very well by neural network. We resented how the neural network recognize wear debris on driving condition.

• Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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• 2001.06a
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• pp.30-35
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• 2001

The morphological analysis of wear particle is a very effective means for machine condition monitoring and fault diagnosis. In order to describe morphology of various wear particle, the wear test was carried oui under friction experimental conditions. And fractal descriptors was applied to boundary and surface of wear particle with image processing system. These descriptors to analyze shape and surface wear particle are share fractal dimension and surface fractal dimension. The boundry fractal dimension can be derived from the boundary profile and surface fractal dimension can be determined b)r sum of intensity difference of surface pixel. The morphology of wear particles can be effectively obtained by two fractal dimensions.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.16 no.9 s.114
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• pp.904-911
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• 2006

A modified energy method for the fretting wear of the steam generator tube is proposed to calculate the wear-out depth between the nuclear steam generator tube and its support. Estimation of fretting-wear damage typically requires a non-linear dynamic analysis with the information of the gap velocity and the flow density around the tube. This analysis is very complex and time consuming. The basic concept of the energy method is that the volume wear rate due to the fretting-wear phenomena Is related to work rate which is time rate of the product of normal contact force and sliding distance. The wearing motion is due to dynamic interaction between vibrating tube and its support structure, such as tube support plate and anti-vibration bar. It can be assumed that the absorbed work rate would come from turbulent flow energy around the vibrating tube. This study also numerically obtains the wear-out depth with various wear topologies. A new dissection method is applied to the multi-span tubes to represent the vibrational mode. It turns out that both the secondary side density and the normal gap velocity are important parameters for the fretting-wear phenomena of the steam generator tube.

• Transactions of the Korean Society of Mechanical Engineers
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• v.17 no.6
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• pp.1441-1455
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• 1993

Under unlubricated condition, the friction and wear tests of silicon nitride and zirconia manufactured by HIP were carried out at room temperature. The wear resistance of silicon nitride was superior to that of zirconia under low load, whereas the wear resistance of zirconia was superior to that of silicon nitride under high load. Wear model of ceramic was suggested by the microscopic SEM observation of worn surfaces and debris. Theoretical analysis and discussions based on linear fracture mechanics were made out about this ceramic wear model. From the theoretical analysis, a new nondimensional parameter, Scf, was introduced to estimate wear rate of ceramics. This new nondimentional parameter consists of contact pressure, surface defect of contact material, frictional coefficient and fracture toughness.

• The Research Journal of the Costume Culture
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• v.27 no.3
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• pp.251-263
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• 2019

As the spread of the health and wellness trend continues worldwide, many consumers are spending much time on sports activities and expressing their individuality through sportswear. This study analyzes the trade networks of major exporters and importers of athleisure wear to provide an exporting policy for Korean apparel companies. As a result, The USA was found to import the most athleisure wear. On the other hand, China had the largest number of athleisure wear exports, and India's exports, which are becoming increasingly important as apparel producers were notable. Next, using the concept of the centrality of social network analysis, it was found that the USA was the largest importer and the center of athleisure wear's export network, but its influence has decreased gradually since 2010. China has the highest out-degree and betweenness centrality and center in the export of athleisure wear. The centrality of Asian countries such as India and Vietnam has increased. In Korea, the import of athleisure wear has increased greatly, but the export of athleisure wear has continuously decreased. Korea has less price competitiveness than other developing countries in Asia, but many Korean athleisure wear clothing brands are now attracting popularity not only in Korea but also in other countries with their excellent technology and design. In the future, the exporting policy of Korea's athleisure wear should focus on high value-added and differentiated products.