Study on Connotation and Architecture of the Ecological Economic Booster Explosive Green Manufacturing Process

2006 ◽  
Vol 532-533 ◽  
pp. 576-579
Author(s):  
Gui Chun Ma ◽  
Shu Sheng Zhang ◽  
Jing Lin Zhang

The connotation of ecological economic booster explosive has been defined firstly in this paper. The ecological economic booster explosives green manufacturing process system architecture and a general framework are provided. They are consisted of an assessing method for manufacturing process, a modeling on rational proportioning for booster explosives, a modeling on optimum control parameters of the manufacturing process and the rapid prototyping method of the pellet used in the capability testing.

2013 ◽  
Vol 397-400 ◽  
pp. 57-61
Author(s):  
Dong Jie Zhong

Green manufacturing process is a key segment to guarantee green degree of products manufacturing course. In this paper, a kind of design system is presented by analyzing the function demand of the design system for green manufacturing process and then the modules which constituent the design system are analyzed in detail. Moreover, according to the design principle and the estimate indexes of green manufacturing process, the operation flow of the design system is introduced.


2013 ◽  
Vol 315 ◽  
pp. 63-67 ◽  
Author(s):  
Muhammad Fahad ◽  
Neil Hopkinson

Rapid prototyping refers to building three dimensional parts in a tool-less, layer by layer manner using the CAD geometry of the part. Additive Manufacturing (AM) is the name given to the application of rapid prototyping technologies to produce functional, end use items. Since AM is relatively new area of manufacturing processes, various processes are being developed and analyzed for their performance (mainly speed and accuracy). This paper deals with the design of a new benchmark part to analyze the flatness of parts produced on High Speed Sintering (HSS) which is a novel Additive Manufacturing process and is currently being developed at Loughborough University. The designed benchmark part comprised of various features such as cubes, holes, cylinders, spheres and cones on a flat base and the build material used for these parts was nylon 12 powder. Flatness and curvature of the base of these parts were measured using a coordinate measuring machine (CMM) and the results are discussed in relation to the operating parameters of the process.The result show changes in the flatness of part with the depth of part in the bed which is attributed to the thermal gradient within the build envelope during build.


2005 ◽  
Vol 24 (1) ◽  
pp. 44-50 ◽  
Author(s):  
Yi Zhang ◽  
Zuo-Hu Li ◽  
Tao Qi ◽  
Shi-Li Zheng ◽  
Hui-Quan Li ◽  
...  

Author(s):  
Ashish K. Nath ◽  
Sagar Sarkar ◽  
Gopinath Muvvala ◽  
Debapriya Patra Karmakar ◽  
Shitanshu S. Chakraborty ◽  
...  

2021 ◽  
Vol 10 (1) ◽  
pp. 308-318
Author(s):  
Achmad Komarudin ◽  
Novendra Setyawan ◽  
Leonardo Kamajaya ◽  
Mas Nurul Achmadiah ◽  
Zulfatman Zulfatman

Particle swarm optimization (PSO) is an optimization algorithm that is simple and reliable to complete optimization. The balance between exploration and exploitation of PSO searching characteristics is maintained by inertia weight. Since this parameter has been introduced, there have been several different strategies to determine the inertia weight during a train of the run. This paper describes the method of adjusting the inertia weights using fuzzy signatures called signature PSO. Some parameters were used as a fuzzy signature variable to represent the particle situation in a run. The implementation to solve the tuning problem of linear quadratic regulator (LQR) control parameters is also presented in this paper. Another weight adjustment strategy is also used as a comparison in performance evaluation using an integral time absolute error (ITAE). Experimental results show that signature PSO was able to give a good approximation to the optimum control parameters of LQR in this case.


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