The air curtain dust control device (ACDCD) utilizes the air curtain formed by high-speed gas ejected from an injection cavity to separate the driver working area from the roadheader pollution area, so as to achieve the purpose of dust control. The existing ACDCDs are customized for various roadheaders and various production conditions, which are not flexible enough and are difficult to industrialize. Meanwhile, the existing ACDCD has drawbacks such as its costly maintenance, difficulty in replacement of the core parts, and costly iterative design of products. Due to the growing resource demand and sustainable development needs, the ACDCD should be designed considering the full life cycle technology of the product. In this paper, we proposed a modular method of the ACDCD based on improved spectral cluster module division and proposed an improved air curtain dust control device (IACDCD). Specifically, a similarity matrix construction method considering the functional and structural correlation matrix of components was proposed to strengthen the connection relationship of components. Two existing ACDCDs and the IACDCD were modularized using the improved spectral cluster module division method. The results showed that the improved spectral clustering module division method could effectively improve the clustering effect. The results of the module division of the three ACDCDs proved that the IACDCD could effectively increase the replaceability and maintenance of the injection cavity, and then reduce the maintenance cost and iterative design cost of the ACDCD.
Based on Kansei engineering methods and performed user testing, this work analyzes small-sized liquor bottle of the Chinese liquor market. Firstly, perform the cluster analysis and multidimensional scaling (MDS) analysis to obtain 26 representative sample bottles. Secondly, According to the analysis results of an expert group, the shape of the bottle is divided into six feature categories and 36 morphological unit categories. And then, the factor analysis table is built according to sample bottles. After that, the level of user preferences on bottle shape is evaluated by the image scale method over a number of consumers. By investigating associations between the user preference values and the form elements table from the values of the statistics table, researchers have found a preliminary result that some elemental characteristics indeed have a greater impact on consumer preferences. Finally, Pearson product-moment correlation coefficient inspection method is used to verify the conclusion mentioned above. Based on the correlation some elements are the key factors that affect consumer preferences in Chinese liquor market, while some are not preferable elements by customers. Those non-preferable elements should be considered to avoid in design. This study provides important reference and theoretical support for Chinese liquor bottle design and brand development.
Abstract. With the rapid development of robot technology, home robot is becoming more and more popular in daily life. Facial expression of robots is important to improve the interaction between human beings and robots. Kansei Engineering is used to explore users' feelings with the design of facial expression of home robot. Pearson Correlation Coefficient is one of the most popular similarity measures to evaluate the elements of home robot's face. In this paper we proposed a novel approach to evaluate the design of face and facial expression of home robot and help the designer improving user experience of the product.
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