Optimal design of shaft-lining drain pipeline based on system engineering

Author(s):  
Qiusheng Li ◽  
Meng Li ◽  
Guiying Yao ◽  
Haijun Ma
2020 ◽  
Author(s):  
I.N. Kabanov

The article presents the practice of using systems engineering methods in the development of a universal locomotive frame. The work is aimed at developing the optimal design of the locomotive frame, which will simplify the production process of the unit and save on design and technological preparation of production. The advantages of applying a systematic approach to working with requirements, identifying the required functions and forming the structural structure of the product are described. Keywords: locomotive, frame, life cycle, systems engineering, requirement, function, design.


2020 ◽  
Author(s):  
A.K. Friesen

The article presents the practice of using system methods in the development of a universal four-axle locomotive platform. The work is aimed at developing the optimal design of the frame and bodies of the locomotive, the choice of power and traction components to simplify the design process, reduce development time and reduce the cost of the product. The advantages of applying a systematic approach to working with requirements, determining the necessary functions and forming the structure of the product are described. Keywords: locomotive, frame, life cycle, system engineering, requirements, modularity, universal platform, shortening the development time.


2020 ◽  
Vol 13 (3) ◽  
pp. 115-129
Author(s):  
Shin’ichi Aratani

High speed photography using the Cranz-Schardin camera was performed to study the crack divergence and divergence angle in thermally tempered glass. A tempered 3.5 mm thick glass plate was used as a specimen. It was shown that two types of bifurcation and branching existed as the crack divergence. The divergence angle was smaller than the value calculated from the principle of optimal design and showed an acute angle.


Author(s):  
Muklas Rivai

Optimal design is a design which required in determining the points of variable factors that would be attempted to optimize the relevant information so that fulfilled the desired criteria. The optimal fulfillment criteria based on the information matrix of the selected model.


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