| Abstract |
| A comfort evaluation of car seat clothing has been proposed for high comforts interior seat clothing. Car seat covers have received wide spread attention due to their man-machine interface working. And then, it will be necessary for measurements on delicate basic mechanical-properties, which closely relate with human touch feeling of its materials. In this research, we have utilized KES-FB(R)(Kawabata Evaluation System) series, ST300(R) analogue softness tester and friction tester for measurement a physical properties. In order to consider both kansei and physical properties on interior seat covers, we firstly have established subjective words of judgement for the seat covers. Secondly, related them to the objective measurement of physical properties. Each kansei-language has clearly defined as `Softness`, `Elasticity`, `Volume` and `Stickiness` for the adjectives of leather car seat covers. These technical terms have correlated to physical properties in other words, h (mm), bending moment (gf*cm/cm), To-Tm (mm) and μ. At this time, fuzzy logic has utilized to predict the value of kansei language through physical values. On the basis of this result, finally it is possible to predict quality index of car seat covers using neural networks technique. In short, we develop a quality evaluation system of car seat clothing combining four physical quantities with kansei engineering. |
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| Key Words |
| 감성 평가, 부드러움, 탱글탱글함, 푹신함, 끈끈한 정도, 퍼지 로직, 뉴럴 네트워크, Softness, Elasticity, Volume, Stickiness, Fuzzy Logic, neural network |
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