Contemporary apparel design practice is such that the functional and ergonomic aspects can be readily rationalized and thus computerized, but this is not true for the aspects of affect or emotion. Design for emotion or affect remains an ad hoc exercise. In the apparel industry, affects or emotions of both wearers and audiences are very important. This paper presents a work with an overall objective to rationalize the affective property of apparel. To achieve this overall objective, the first step is to have a language (a set of words in this case) to describe the customer’s need in the affective attribute or property of apparel into a technical specification. In the work reported in this paper, this language (simply, a set of words) has been developed by the application of a proposed data mining procedure with a proprietary tool. A preliminary experiment was performed to validate this language – how to accurately capture the voice of customer in the aspect of affects in this case. There are two contributions out of this work: (1) finding a set of words that describe the affective property of apparel to capture the voice of customer in the aspect of affect, which is a foundation for the computer-based affective design of apparel; and (2) formulation of a new data mining process for searching affective words from the internet, which has a generalized implication to affective design in other domains of products, such as furniture.
The shape of apparel is one of the most important elements in fashion design, for example, the three-dimensional shape of apparel can be quite creative and fashionable. The current technologies for creating the three-dimensional shape of apparel are many, but have their limitations in dealing with various fabrics, particularly light and soft fabrics. This article presents a new method to rapidly create three-dimensional shape of apparel for avoiding the aforementioned disadvantages. The method combines thermal bonding of thermoplastic polyurethane film and vacuum forming. In this study, 12 kinds of commercial fabrics were selected and then tested. All these fabrics were first bonded to thermoplastic polyurethane film and then rapidly applied to the vacuum forming machine to form the three-dimensional mold-like shape. This research analyzed the factors of molding a fabric to a good three-dimensional shape of apparel and the relative tests to be carried out for validating its stability for the selected fabric samples. There are two main contributions of this study. The first is to propose a more effective method for three-dimensional shape of apparel in fashion design. The second is to provide useful information for fabric selection and determination of bonding temperature in molding.
The proper assessment of aesthetics and comfort is an important step before launching a new type of apparel. Most current works on this assessment are qualitative and hard to be applied in practical to improve apparel design. In this study, we proposed two quantitative mappings from pattern design parameters to degree of aesthetics and pattern design parameters to degree of comfort for assessing aesthetics and comfort of apparel, and particularly, women's pants have been investigated. Statistical analysis was employed in the mappings' development. An experiment was conducted as a validation for the mappings. Two major conclusions are drawn from this study. The first is that these mappings enable to extract a more advanced pattern for apparel design after the iterative pattern revision. The second is that these mappings are able to be digitalized and then the traditional method of observing feedbacks of aesthetics and comfort for an apparel product can be updated into a more efficient and low-cost one.
An apparel product has a unique feature other than other products in that apparel product design must consider three categories of design requirements, namely function (governed by natural sciences), comfort (governed by ergonomics), and pleasure (governed by aesthetics and psychology). This paper proposes a general design theory for apparel products. The theory is based on Axiomatic Design Theory (ADT), which is for the functional aspect of products, particularly by adapting ADT to apparel product design, to which all the aspects (function, comfort, pleasure) need to be considered. The proposed theory is thus called the Axiomatic Design Theory For Apparel (ADT-FA). The ADT-FA has two axioms. Axiom 1 (apparel) concerns coupling in the design requirement, and Axiom 2 (apparel) concerns redundancy in the design parameter. The proposed theory is preliminarily validated with the Zoot suit, which is well known in the community of apparel design. The work opens an avenue for more validations in future.
Silicone-modified epoxy coatings were prepared and treated under different plasma atmospheres in order to enhance their anticorrosion ability. The corrosion current density, corrosion potential and impedance of the modified coatings were measured by an electrochemical workstation. The results showed that the corrosion resistances of silicone-modified epoxy coatings were highly improved by surface-wave plasma treatment. Compared with the original coating, the corrosion current density of these coatings modified by plasma decreased from 0.5976 µA/cm 2 to the minimum of 0.0058 µA/cm 2 and the impedance increased from 1.925×10 3 Ω•cm 2 to the maximum of 2.938×10 6 Ω•cm 2 , in which Ar plasma showed the best significant effect.
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