Sensitivity analysis of byproduct gas distribution optimization problem in the iron and steel-making process

2016 ◽  
Author(s):  
Joao G. C. Pena ◽  
Valter B. de Oliveira ◽  
Jose L. F. Salles
Keyword(s):  
Sensitivity Analysis ◽  
Optimization Problem ◽  
Gas Distribution ◽  
Iron And Steel ◽  
Steel Making ◽  
Byproduct Gas

Byproduct Gas Optimal Distribution Model and its Application for Iron and Steel Enterprises

2011 ◽  
Vol 58-60 ◽  
pp. 816-821
Author(s):  
Tao Du ◽  
Xiang Bin Liu ◽  
Xing Lu Pang
Keyword(s):  
Energy Resource ◽  
Distribution Model ◽  
Optimal Distribution ◽  
Oil Consumption ◽  
Normal Range ◽  
Gas Emission ◽  
Iron And Steel ◽  
Steel Making ◽  
Byproduct Gas ◽  
Gas Supply

A MILP model for optimization of byproduct gas supply in the iron and steel making process is proposed. This model can make the holder fluctuate keep in the normal range, prevent unfavorable byproduct gas emission or shortage, minimize oil consumption and switch the burners in the boil, and it can simultaneously maximize the efficiency of energy resource usage in the iron and steel making process.

Optimal tuned direct adaptive controller for seismic protecting of structures

2021 ◽  
pp. 1045389X2098878
Author(s):  
Amin Hosseini ◽  
Touraj Taghikhany ◽  
Milad Jahangiri
Keyword(s):  
Sensitivity Analysis ◽  
Adaptive Control ◽  
Optimization Problem ◽  
Adaptive Controller ◽  
Sensitivity Analyses ◽  
Building Structures ◽  
Building Structure ◽  
The Past ◽  
Innovative Method ◽  
Story Building

In the past few years, many studies have proved the efficiency of Simple Adaptive Control (SAC) in mitigating earthquakes’ damages to building structures. Nevertheless, the weighting matrices of this controller should be selected after a large number of sensitivity analyses. This step is time-consuming and it will not necessarily yield a controller with optimum performance. In the current study, an innovative method is introduced to tuning the SAC’s weighting matrices, which dispenses with excessive sensitivity analysis. In this regard, we try to define an optimization problem using intelligent evolutionary algorithm and utilized control indices in an objective function. The efficiency of the introduced method is investigated in 6-story building structure equipped with magnetorheological dampers under different seismic actions with and without uncertainty in the model of the proposed structure. The results indicate that the controller designed by the introduced method has a desirable performance under different conditions of uncertainty in the model. Furthermore, it improves the seismic performance of structure as compared to controllers designed through sensitivity analysis.

Efficient Sensitivity Analysis for Multibody Dynamics Systems Using an Iterative Steps Method With Application in Topology Optimization

2011 ◽  
Author(s):  
Guang Dong ◽  
Zheng-Dong Ma ◽  
Gregory Hulbert ◽  
Noboru Kikuchi ◽  
Sudhakar Arepally ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Topology Optimization ◽  
Multibody Dynamics ◽  
Optimization Problem ◽  
Finite Difference Methods ◽  
Analysis Method ◽  
Topology Optimization Problem ◽  
Design Variables ◽  
Sensitivity Analysis Method ◽  
Rotational Motions

Efficient and reliable sensitivity analyses are critical for topology optimization, especially for multibody dynamics systems, because of the large number of design variables and the complexities and expense in solving the state equations. This research addresses a general and efficient sensitivity analysis method for topology optimization with design objectives associated with time dependent dynamics responses of multibody dynamics systems that include nonlinear geometric effects associated with large translational and rotational motions. An iterative sensitivity analysis relation is proposed, based on typical finite difference methods for the differential algebraic equations (DAEs). These iterative equations can be simplified for specific cases to obtain more efficient sensitivity analysis methods. Since finite difference methods are general and widely used, the iterative sensitivity analysis is also applicable to various numerical solution approaches. The proposed sensitivity analysis method is demonstrated using a truss structure topology optimization problem with consideration of the dynamic response including large translational and rotational motions. The topology optimization problem of the general truss structure is formulated using the SIMP (Simply Isotropic Material with Penalization) assumption for the design variables associated with each truss member. It is shown that the proposed iterative steps sensitivity analysis method is both reliable and efficient.

scholarly journals Mathematical Modeling of Iron and Steel Making Processes. Modeling of a DC Electric Arc Furnace. Mixing in the Bath.

2001 ◽  
Vol 41 (10) ◽  
pp. 1146-1155 ◽  
Author(s):  
Marco Ramírez ◽  
Jonas Alexis ◽  
Gerardo Trapaga ◽  
Par Jönsson ◽  
John Mckelliget
Keyword(s):  
Mathematical Modeling ◽  
Electric Arc Furnace ◽  
Electric Arc ◽  
Arc Furnace ◽  
Iron And Steel ◽  
Steel Making
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