scholarly journals Modeling and Optimization of Cement Raw Materials Blending Process

2012 ◽  
Vol 2012 ◽  
pp. 1-30 ◽  
Author(s):  
Xianhong Li ◽  
Haibin Yu ◽  
Mingzhe Yuan
Keyword(s):  
Interior Point Method ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Raw Materials ◽  
Raw Material ◽  
Constraint Optimization ◽  
Nonlinear Constraint ◽  
Blending Process ◽  
Ratio Optimization ◽  
Cement Raw Material

This paper focuses on modelling and solving the ingredient ratio optimization problem in cement raw material blending process. A general nonlinear time-varying (G-NLTV) model is established for cement raw material blending process via considering chemical composition, feed flow fluctuation, and various craft and production constraints. Different objective functions are presented to acquire optimal ingredient ratios under various production requirements. The ingredient ratio optimization problem is transformed into discrete-time single objective or multiple objectives rolling nonlinear constraint optimization problem. A framework of grid interior point method is presented to solve the rolling nonlinear constraint optimization problem. Based on MATLAB-GUI platform, the corresponding ingredient ratio software is devised to obtain optimal ingredient ratio. Finally, several numerical examples are presented to study and solve ingredient ratio optimization problems.

A Two-Phase Complete Algorithm for Multi-Objective Distributed Constraint Optimization

2014 ◽  
Vol 18 (4) ◽  
pp. 573-580
Author(s):  
Alexandre Medi ◽  
◽  
Tenda Okimoto ◽  
Katsumi Inoue ◽  
◽  
...  
Keyword(s):  
Branch And Bound ◽  
Pareto Front ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Branch And Bound Algorithm ◽  
Constraint Optimization ◽  
Distributed Constraint Optimization ◽  
Multi Objective ◽  
Multi Agent ◽  
Distributed Constraint Optimization Problem

A Distributed Constraint Optimization Problem (DCOP) is a fundamental problem that can formalize various applications related to multi-agent cooperation. Many application problems in multi-agent systems can be formalized as DCOPs. However, many real world optimization problems involve multiple criteria that should be considered separately and optimized simultaneously. A Multi-Objective Distributed Constraint Optimization Problem (MO-DCOP) is an extension of a mono-objective DCOP. Compared to DCOPs, there exists few works on MO-DCOPs. In this paper, we develop a novel complete algorithm for solving an MO-DCOP. This algorithm utilizes a widely used method called Pareto Local Search (PLS) to generate an approximation of the Pareto front. Then, the obtained information is used to guide the search thresholds in a Branch and Bound algorithm. In the evaluations, we evaluate the runtime of our algorithm and show empirically that using a Pareto front approximation obtained by a PLS algorithm allows to significantly speed-up the search in a Branch and Bound algorithm.

Parametric Optimization for Structural Design Problems

2019 ◽  
Author(s):  
Krupakaran Ravichandran ◽  
Nafiseh Masoudi ◽  
Georges M. Fadel ◽  
Margaret M. Wiecek
Keyword(s):  
Structural Design ◽  
Optimization Problem ◽  
Parametric Optimization ◽  
Optimization Problems ◽  
Nonlinear Constraint ◽  
Computational Performance ◽  
Design Variables ◽  
Input Parameters ◽  
Parametric Optimization Problem ◽  
Objective Function Values

Abstract Parametric Optimization is used to solve problems that have certain design variables as implicit functions of some independent input parameters. The optimal solutions and optimal objective function values are provided as functions of the input parameters for the entire parameter space of interest. Since exact solutions are available merely for parametric optimization problems that are linear or convex-quadratic, general non-convex non-linear problems require approximations. In the present work, we apply three parametric optimization algorithms to solve a case study of a benchmark structural design problem. The algorithms first approximate the nonlinear constraint(s) and then solve the optimization problem. The accuracy of their results and their computational performance are then compared to identify a suitable algorithm for structural design applications. Using the identified method, sizing optimization of a truss structure for varying load conditions such as a varying load direction is considered and solved as a parametric optimization problem to evaluate the performance of the identified algorithm. The results are also compared with non-parametric optimization to assess the accuracy of the solution and computational performance of the two methods.

Effect of Cement Raw Material and Oxygen Concentration on SNCR Reaction

2018 ◽  
Vol 913 ◽  
pp. 969-975
Author(s):  
Ya Li Wang ◽  
Li Nan ◽  
Si Yu Peng ◽  
Yun Ning Zhang ◽  
Mei Na Chen ◽  
...  
Keyword(s):  
Oxygen Concentration ◽  
Flue Gas ◽  
Catalytic Reduction ◽  
Raw Materials ◽  
Raw Material ◽  
Cement Kiln ◽  
Gas Composition ◽  
High Concentration ◽  
Denitration Rate ◽  
Cement Raw Material

As the selective non-catalytic reduction denitration(SNCR denitration) was used in cement decomposition furnaces under the high concentration cement raw materials and complex flue gas composition , the denitration efficiency is poor and the reducing agent is largely consumed.In order to meet the more stricter requirements of environmental protection, there is an urgent need to improve the denitration efficiency of SNCR and reduce the escape of reducing agentsin order to prevent the unnecessary waste caused by excessive use of reducing agents and secondary atmospheric pollution.Therefore, studying the effect of cement raw materials and O2 concentration on SNCR process is very important. In this paper, the initial concentration of NO and the ammonium to nitrogen ration (CNH3/CNO) was 800ppm and 1.5, respectively. The effects of cement raw material and oxygen concentration on the reaction process of NH3+NO+O2 in the temperature range of 750°C -1100°C were investigated by means of denitration rate, in Situ DRIFTS analysis.The results demonstrate when O2 concentration was 5% and denitration temperature was 950°C, the deNOx rate reached a maximum of 89.64%, which due to O2 promoted NH3 and NO to react with O2 to produce N2 and H2O. However,under the effect of cement raw material, O2 can promote NH3 which was adsorbed on the surface of cement raw material to react with O2 and produce NO and H2O, and the reaction of oxidation of NH3 is dominant, therefore, the denitration reaction is inhibited. .When O2 concentration was 5% and temperature was 850°C, the deNOx rate reached a minimum value of -109.09%. the high concentration cement raw material and flue gas composition reduce the denitration efficiency of cement kiln.

scholarly journals Mathematical modeling of a cement raw-material blending process using a neural network

2016 ◽  
Vol 50 (4) ◽  
pp. 485-490 ◽  
Author(s):  
Aysun Egrisogut Tiryaki ◽  
Recep Kozan ◽  
Nurettin Gokhan Adar
Keyword(s):  
Neural Network ◽  
Mathematical Modeling ◽  
Raw Material ◽  
Blending Process ◽  
Cement Raw Material

Constraint Solving and Optimization Using Evolutionary Techniques

2019 ◽  
Author(s):  
Mahdi Bidar ◽  
Malek Mouhoub
Keyword(s):  
Optimization Algorithm ◽  
Optimization Problem ◽  
Optimization Problems ◽  
Constraint Solving ◽  
High Dimensional ◽  
Constraint Optimization ◽  
Objective Functions ◽  
Search Spaces ◽  
Real World Applications ◽  
Constraint Optimization Problems

Constraint Solving and Optimization is very relevant in many real world applications including scheduling, planning, configuration, resource allocation and timetabling. Solving a constraint optimization problem consists of finding an assignment of values to variables that optimizes some defined objective functions, subject to a set of constraints imposed on the problem variables. Due to their high dimensional and exponential search spaces, classical methods are unpractical to tackle these problems. An appropriate alternative is to rely on metaheuristics. My thesis is concerned with investigating the applicability of the evolutionary algorithms when dealing with constraint optimization problems. In this regard, we propose two new optimization algorithms namely Mushroom Reproduction Optimization algorithm (MRO) and Focus Group Optimization algorithm (FGO) for solving such problems.

Integrated Automation System for Weighing and Blending Process Based on DCS

2009 ◽  
Author(s):  
Xiangchen Ku ◽  
Wei Ma ◽  
Ling Ling ◽  
Jishun Li
Keyword(s):  
Control System ◽  
Process Control ◽  
Production Management ◽  
Production Efficiency ◽  
Raw Materials ◽  
Computer Control ◽  
Integrated System ◽  
Raw Material ◽  
Automation System ◽  
Blending Process

Weighing and blending process is an important step of industrial and agricultural production. Traditionally, the simplest way of weighing and blending is to weigh the variety of raw materials manually and mix them together. There are some disadvantages of this method, such as measuring inaccurate, low productivity and labor-intensive. The comparatively advanced method is making use of the computer control technology to realize automatic weighing and blending according to predetermined formula. According to the production characteristics and technological requirements of a certain chemical product, an integrated control system of weighing and blending for liquid raw material based on DCS (Distributed Control System) is developed in this paper. The system is composed of IPC (Industrial Personal Computer), ADAM data acquisition modules, weighing sensor and execution unit. The 485 bus is adopted to transmit data between the different equipments. With the support of SQL Server 2000, the process control and production management of weighing and blending are realized with C++ builder 6.0. The integrated system can be divided into three subsystems, namely, the process control subsystem, the production monitoring subsystem and the production information management subsystem. The application result indicates that this system improves the production efficiency and stabilizes the production process.

scholarly journals Minimization of the Settling Time of Variable Area Flowmeters

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 530 ◽  
Author(s):  
Mateusz Turkowski ◽  
Artur Szczecki ◽  
Maciej Szudarek
Keyword(s):  
Optimization Problems ◽  
Dynamic Performance ◽  
Transient Behavior ◽  
Simplex Algorithm ◽  
Settling Time ◽  
Constraint Optimization ◽  
Nonlinear Constraint ◽  
First Case ◽  
Constraint Optimization Problems ◽  
Tube Geometry

In the article a differential equation describing transient behavior of variable area (VA) meters has been developed and validated experimentally for air as a measured fluid and for two float shapes—plumb bob and sphere. A modified version of simplex algorithm adapted for nonlinear constraint optimization problems was applied to minimize the settling time of VA meters in two cases. In the first case both the float and tube geometry were altered. In the second case only the float geometry was modified. The second case has been validated experimentally. The theory and experiment is in reasonable agreement (under 5% of full scale), which is satisfactory for the purposes of optimization of VA flowmeters dynamic performance. Analytical model of VA flowmeter has been proven to be a proper tool for optimization. Settling times obtained during the optimization process were several times shorter than these of commercially manufactured instruments. Overshoot has not exceeded the assumed value of 3%.

scholarly journals Optimum design of plates structures under random loadings

2013 ◽  
Vol 66 (1) ◽  
pp. 41-47 ◽  
Author(s):  
Elcio Cassimiro Alves ◽  
Luiz Eloy Vaz
Keyword(s):  
Dynamic Loading ◽  
Interior Point Method ◽  
Optimization Problem ◽  
Isotropic Plate ◽  
Optimization Problems ◽  
Computational Cost ◽  
Mass Reduction ◽  
Dynamic Mass ◽  
Improved Design ◽  
Optimum Design Of Plates

Structural optimization problems involving static loading have been studied for some time and in a way these kinds of problems are widely encountered in literature, but problems involving dynamic loading still have few studies not to mention problems involving nondeterministic dynamic loading. This paper presents a formulation of the optimization problem of plates subjected to random loadings. For the modeling of the structure, it used the bending plate element AST6 that explicitly provides these matrices, and dynamic mass reduction and rigidity matrices were used to reduce the computational cost of the problem. . The solution was achieved using the Interior Point Method and the sensitivity analysis of mass, and for the structure's stiffness matrixes the semi-analytical method was used. Three examples are presented to demonstrate the reliability of the process. The first example is an isotropic plate and the other two are problems involving sandwich plates. In all examples, an improved design in respect to the initially proposed geometry was obtained.

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