Test Method for Sieve Analysis of Raw Materials for Glass Manufacture

2001 ◽  
Author(s):  
Keyword(s):  
Raw Materials ◽  
Test Method ◽  
Sieve Analysis ◽  
Glass Manufacture

scholarly journals Utilization of the Django Framework as a Dashboard Model Information System for Raw Material Inventory on PT Bimasakti Karyaprima

2019 ◽  
Vol 1 (2) ◽  
pp. 192-202
Author(s):  
Sandro Alfeno ◽  
Danang Rifai ◽  
Muhammad Saepudin
Keyword(s):  
Web Application ◽  
Swot Analysis ◽  
Raw Materials ◽  
Design Method ◽  
Test Method ◽  
Production Performance ◽  
Raw Material ◽  
Production Section ◽  
Equipment Production ◽  
Office Equipment

The aim of the research is to analyze the raw material inventory and design a dashboard system that can help achieve company goals. The research method used is the method of analysis of stash, software design methods, and methods of software testing. The design analysis method used is the SWOT analysis, the design method used is the design concept using UML diagrams, the soft test method uses the Black Box concept. The results achieved are a dashboard system used by the Warehouse Section and Production Section to monitor raw material inventories and production performance. The conclusion of this study is that the dashboard application that has been made can help the Warehouse and Production Section to monitor raw material inventory and production performance in real time. This web application provides information easily, quickly, concisely and interactively which includes raw materials for shoe components, office equipment, production tools and general equipment, inventory planning, recommendations and reports on transactions and raw material requests. Keywords : Dashboard, Material

scholarly journals ECC Design Based on Uniform Design Test Method and Alternating Conditional Expectation

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Xiaoqin Li ◽  
Xiao Yang ◽  
Zude Ding ◽  
Xi Du ◽  
Jincheng Wen
Keyword(s):  
Regression Analysis ◽  
Conditional Expectation ◽  
Raw Materials ◽  
Uniform Design ◽  
Test Method ◽  
High Fracture ◽  
Four Point Bending ◽  
Alternating Conditional Expectation ◽  
Mix Proportion ◽  
Tensile Strains

Engineered cementitious composites (ECC) have higher ultimate tensile strains than normal concrete. The mechanical properties of ECC strongly depend on raw materials and the mix proportions. The uniform design test method and alternating conditional expectation, which is a nonparametric regression analysis method, were used to design the ECC mix proportion. According to the regression analysis, the optimized W/B, S/B, and F/B ranges could be obtained as 0.35–0.42, 0.25–0.3, and 0.02, respectively. The tested proportions for validation were randomly adopted within the range of W/B, S/B, and F/B. The uniaxial compression, tension, and four-point bending tests were conducted to verify the material behaviour of the designed ECC. Results showed that all the specimens had large ultimate tensile strains and high fracture energy capacities, and strain hardening was also observed. The fibers were found to be uniformly distributed in the specimens by using a scanning electron microscope. This paper may provide theoretical and practical guidance for the ECC and other cement-based material mix proportion design.

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