Features of the Ti-40Nb alloy prototype formation by 3D additive method

2016 ◽  
Author(s):  
Yu. P. Sharkeev ◽  
Zh. G. Kovalevskaya ◽  
M. A. Khimich ◽  
A. Yu. Eroshenko ◽  
A. A. Saprykin ◽  
...  
Author(s):  
Tri Pratiwi Handayani

Tujuan penelitian ini adalah menerapkan algoritma Simple Additive Method (SAW) dalam kasus penentuan perubahan calon penerima Rastra (Beras Sejahtera) di Desa Huidu Kabupaten Gorontalo. Algorima SAW (Penambahan bobot sederhana) adalah salah satu algoritma sistem pendukung keputusan yang mampu mendukung proses pengambilan keputusan yang dikategorikan sebagai multi kriteria decision making (MADM) atau pengambilan keputusan yang melibatkan banyak kriteria. Metode ini terdiri dari beberapa tahap. Pertama Matriks alternatif dibuat terlebih dahulu. Matriks alternatif merupakan matriks yang berisi alternatif alternatif yang akan dirangking pada akhir proses. Dalam kasus ini alternatif adalah nama – nama calon penerima Rastra yang akan dievaluasi pada rapat musyawarah desa. Kedua Matriks kriteria dibuat untuk menjadi indikator prioritas dalam mendukung keputusan. Tahap ketiga adalah penentuan atribut biaya dan atribut keuntungan dari kriteria yang telah ditetapkan. Tujuannya adalah membedakan kriteria yang bersifat keuntungan dan kriteria yang bersifat biaya. Keempat adalah penentuan bobot dari kriteria yang telah ditetapkan. Pada kasus ini diambil bobot bernilai 4 sebagai bobot yanng tetinggi dan bobot bernilai 1 sebagai bobot yang terendah. Penentuan nilai bobot pada kasus ini berdasarkan hasil wawancara dengan aparat desa. Kelima, melakukan normalisasi bobot dengan menggunakan persamaan. Keenam, menentukan preferensi alternatif terbobot. Sehingga didapatkanlah matriks keputusan.Dari hasil penelitian menunjukkan algoritma ini mampu memberikan ranking kelayakan calon Rastra. 


Author(s):  
Saber Azami-Aghdash ◽  
Fatemeh Pournaghi-Azar ◽  
Ahmad Moosavi ◽  
Mohammad Mohseni ◽  
Naser Derakhshani ◽  
...  

Background: Of the most important implications and complaints in the elderly group of the population, is oral and dental health problems. This study aimed to assess oral health- related quality of life in older people. Methods: To data collection, databases were searched including PubMed, EMBASE, Scopus, SID, MagIran, Cochrane Central Register of Controlled Trials and scholar google The keywords were “older adults", “Geriatric” Elderly", "Older", “Aged”, "Ageing", "Oral health", "Oral hygiene" and "Quality of life", "QOL. For manual searching, several specialized journals of related scope as well as the finalized articles' reference list were searched. Studies from 1st Jan 2000 to 30th Jan 2017 were included. Studies were subjected to meta-analysis to calculate indexes, using CMA:2 (Comprehensive Meta-Analysis) software. Results: Totally, 3707 articles were searched that 48 of them were subjected to the oral and dental health-related quality of life in 59 groups of the elderly population with the mean age of 73.57+6.62 in the 26 countries. The obtained percentage values of dental and oral health were 80.2% (0-60), 14.8% (0-12), 16.4% (0-70), 22% (0-14 or 0-59) and 19.2% (0-196) for GOHAI with the additive method, GOHAI with Simple Count Method, OHIP14 with the additive method, OHIP-14 with Simple Count method and OHIP-49 with additive method indexes, respectively. Conclusion: The elderly group of the population had no proper oral health-related quality of life. Regarding the importance and necessity of oral and dental health and its effect on general health care in the target group, it is recommended to improve dental hygiene in the mentioned group of population.


Author(s):  
Stepan S. Batsanov

Radii of Cu+, Ag+, Au+ and Tl+ cations are determined by the additive method from interatomic distances in molecular and/or crystalline halides, oxides, chalcogenides and cyanides with different coordinations of atoms, and then recalculated for the 6-coordination number. The averaged (from 74 structures) values of revised radii are equal to r(Cu+) = 0.74 Å, r(Ag+) = 0.99 Å, r(Au+) = 0.92 Å, r(Tl+) = 1.22 Å, which are consistent with radii calculated from direct cation–cation contacts in ultimately compressed metals.


Circuit World ◽  
2017 ◽  
Vol 43 (3) ◽  
pp. 131-138 ◽  
Author(s):  
Huirong He ◽  
Jida Chen ◽  
Shengtao Zhang ◽  
Minhui Liao ◽  
Lingxing Li ◽  
...  

Purpose This paper aims to propose a modified full-additive method (MFAM) to fabricate fine copper lines for high density interconnection (HDI) printed circuit boards (PCBs). In addition, the surface of the fine copper lines is treated with a brown oxidation process to obtain good adhesion between the copper and the dielectric resin. Design/methodology/approach Fine copper lines fabricated by MFAM were observed to evaluate the undercut quality, in comparison to undercut quality of copper lines fabricated by the semi-additive method and the subtractive method. The effect of the thickness of the dry film on the quality of the copper plating was investigated to obtain the regular shape of fine lines. The fine copper lines treated with the brown oxidation process were also examined to generate a coarse surface microstructure to improve the adhesion between the copper and the dielectric resin. The cross section and surface of as-fabricated fine copper lines were characterized using an optical microscope, a scanning electron microscope and an atomic force microscope. Findings MFAM has the potential to fabricate high-performance fine copper lines for HDI PCBs. Undercut of as-fabricated fine copper lines could be prevented to meet the design requirement of impedance. In addition, fine copper lines exhibit enough adhesive force to laminate with dielectric resin after the brown oxidation process. Originality/value MFAM, with the advantages of high efficiency and being a facile process, is developed to fabricate high-quality fine copper lines for industrial HDI PCB manufacture.


Author(s):  
J.H.-G. Ng ◽  
D.E.G. Watson ◽  
J. Sigwarth ◽  
A. McCarthy ◽  
H. Suyal ◽  
...  

Mechanik ◽  
2015 ◽  
pp. 972/030-972/034
Author(s):  
Maciej Cader ◽  
Jakub Sieczak ◽  
Grzegorz Budzik

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