scholarly journals Analisis Fraksi Volume Serat Pelepah Batang Pisang Bermatriks Unsaturated Resin Polyester (UPR) Terhadap Kekuatan Tarik dan SEM

MECHANICAL ◽  
2015 ◽  
Vol 6 (1) ◽  
Author(s):  
Tumpal Ojahan ◽  
R. Hansen ◽  
Aditia M.S.
Keyword(s):  

Serat alam telah terbukti sebagai material yang kuat, mampu untuk menggantikan serat sintetik sebagai penguat. Serat batang pisang kepok salah satu serat yang memiliki potensi sebagai penguat untuk polyester material komposit. Pada material komposit berpenguat(fiber) serat batang pisang kepok dapat menahan beban yang diterima material komposit. Sedangkan unsaturated resin polyester (UPR) sebagai pengikat serat batang pisang, bekerja menahan beban dan melindungi serat dari kerusakan. Hasil pengujian kekuatan tarik yang paling optimal terdapat pada volume fraksi 28% fiber : 72% matriks dengan  gaya maksimum 2327,9 N, tegangan tarik 67,2065 N/mm2, regangan 2,7477% serta modulus elastisitas 3441,82 N/mm2. Pada pengamatan SEM fraksi volume 28% filler : 72% matriks paling optimal karena adanya ikatan matriks dan serat menyatu dengan sempurna. Dari penelitian ini dapat disimpulkan bahwa pengaruh fraksi volume serat batang pisang kepok sebagai penguat (fiber) dan unsaturated resin polyester (UPR) sebagai pengikat (matriks) pada material komposit akan mempengaruhi kekuatan material kompositlebih kuat dan ulet.Kata kunci : serat pisang kepok, komposit, fraksi volume, kekuatan tarik, SEM

2011 ◽  
Vol 43 (2) ◽  
pp. 97-153 ◽  
Author(s):  
Renzo Shamey ◽  
Woo Sub Shim

2019 ◽  
Vol 89 (21-22) ◽  
pp. 4756-4765
Author(s):  
Daoling Chen ◽  
Pengpeng Cheng

Seam slippage often occurs with some garments during the process of wearing or washing, which not only affects the appearance of the garment but also influences garment quality. The purpose of this study is to find out the factors that affect the seam slippage of garments. In order to make the test results closer to those of the garment itself, this study first proposed to make the fabric into a Japanese woman's prototype sample, in order to simulate the garments produced by a garment enterprise. Then, according to standards GB/T 13772.2-2008/ISO 13936-2: 2004 and GB/T 21294-2014, samples were made and seam slippage at the armhole and side seam was tested. Experimental results reveal that the factors that cause the seam slippage of garments are the fabric, seam type and sewing thread. According to the regression analysis, the seam type has a significant effect on the seam slippage of the armhole and side seam, with Pearson correlation coefficients of −0.715 and −0.650, respectively. Thickness, weight, weft density and weave type of the fabric are also important in terms of seam slippage. The weight of the fabric is more significant than other factors; the significant values at the armhole and side seam are 0.009 and 0.002, respectively. In the linear equation, it is shown that weft breaking strength of the fabric only impacts the seam slippage at the side seam. Sewing thread is another important factor for the seam slippage of garments, and its influence on the armhole is obvious; the larger the sewing thread linear density of polyester material is, the smaller the seam slippage is.


2010 ◽  
Vol 77 (12) ◽  
pp. 1451-1452 ◽  
Author(s):  
José Maria Pereira de Godoy ◽  
Lina M. O. Azoubel ◽  
Maria de Fátima Guerreiro de Godoy

1985 ◽  
Vol 13 (3-4) ◽  
pp. 115-131
Author(s):  
P. D. Nair ◽  
K. Sreenivasan ◽  
M. Jayabalan

Author(s):  
James Wei

A successful product must have the following elements: a market and customers with needs for a product that is available in quantity and at suitable prices, with a set of properties that are suitable for the application, containing appropriate material that can be produced by a suitable technology. The design of a successful product for the marketplace can be described as the creative synthesis of many elements together, with optimization and harmony. The product innovators usually start with some of the required elements, but other key elements are missing and have to be found: for example, when we needed a good refrigerant but did not know what material would have the right properties, or when we found an interesting nonstick polymer but did not know what products would benefit from it and what markets would appreciate it. At later stages, we need to find ways to optimize the elements to make a better product, such as by learning to make nylon from the raw materials adipic acid and hexamethylenediamine, and by increasing the solubility of taxol by emulsifying with castor oil. Thus, a successful design involves many searches for missing elements, as well as for ways to improve existing elements. The search from a material to its properties is called the forward search, since handbooks and tables of properties are organized and listed by the materials, so one looks up the boiling points and the flammability of the compounds by their names. The invention of nylon by Carothers and associates at DuPont in 1928 can be represented by the set of arrows from the left to the right in figure 3.1. Carothers discovered the science and technology of condensation polymerization, which has the capability to make polyester material in possession of properties that are promising but not entirely suitable, as well as the capability to make many other materials. They decided that the product should be a silken fiber, suitable for the market of ladies stockings. From this “lead compound,” they searched to find ways to modify the structure to obtain material with superior and desirable properties that were fine-tuned for the stocking market.


2013 ◽  
Vol 709 ◽  
pp. 547-550
Author(s):  
Zeng He ◽  
Zhong Wei Zhang ◽  
Han Feng ◽  
Long Wang

Change detection is widely used in various fields of the image processing, such as remote sensing image analysis for land resources. Change detection is to find out the differences between the images to get the information of the object changes by analysis the images of the different periods. In this paper, the wavelet method was conducted on the images of the polyester material before melting and melting and calculated the differences of wavelet coefficients. Then performed the wavelet inverse transform to get the wavelet difference image and conducted adaptive threshold segmentation. Finally the rate curve of melting process of polyester material was calculated by image change quantized value, which was concluded by the wavelet difference image binarization.


Sign in / Sign up

Export Citation Format

Share Document