A pattern development from sino-portuguese architecture by quilting innovative for decorating on a blazer jacket

Abstract

The objectives of this research were to 1) design and develop patterns from Sino-Portuguese architecture 2) design a blazer-style sweater and decorate it with innovative tattoo stitching 3) to survey consumer satisfaction towards Developed patterns from Sino-Portuguese architecture with innovation of sewing tattoos for decorating blazer style jackets. This research is undertaken by Accidental Sampling to 120 students in Faculty of Home Economics Technology, Rajamangala University of Technology Phra Nakhon. The data were analyzed using percentage, mean and standard deviation statistics. The results of the study of A pattern development from Sino-Portuguese architecture by quilting innovative for decorating on a blazer jacket were found that the fabric is suitable for making pattern designs and sewing sweaters is a UV coated cloth as the outer body and choose to use Nylon cloth as the inner layer because both types of fabrics are thin. and use 1-inch polyester fiber as the middle layer. Moreover, the patterned plastic sheet makes sewing a tattoo nice and easy. Because the plastic sheeting time is shorter, not long, and the presser foot presses into the groove, preventing the fabric to be sewn to move. and beauty more accurate beautiful patterns are more accurate. The embossed pattern is more pronounced than using paper blocks. To create a pattern in a tattoo can be stored as a pattern for sewing many times. In terms of satisfaction with the development of patterns from Sino-Portuguese architecture with the quilting innovation of pattern for blazer style jackets, it was found that there is a high level of overall satisfaction with total mean of 4.45. When considering each design, all design is in high level while the most satisfaction is model 2 Square pattern, mean 4.48. There is satisfaction in model 3 natural pattern with mean 4.47, Model 1 circle pattern with mean 4.44 and model 4 mixed pattern with mean 4.43, respectively.