Optimization Design Of System Research Articles

Study on multi-frequency characteristics of a longitudinal ultrasonic transducer with stepped horn

In power ultrasonic and underwater acoustic fields, the ultrasonic treatment efficiency of vibration system can be improved significantly when vibration system is driven by the multi-frequency longitudinal transducer, and the performance of vibration system is determined by the multi-frequency characteristics of transducer. In this paper, using electromechanical equivalent circuit method, the multi-frequency characteristics of a longitudinal ultrasonic transducer with a stepped horn are studied for the ultrasonic vibration system optimal design. The expressions of the input impedance and the velocity amplification ratio of the transducer are obtained. The relationships between the electromechanical coupling coefficients, the velocity amplification of the multi-frequency transducer and the excitation position of the piezoelectric stack, the size of the stepped horn are analyzed. Combined with the finite element analysis of the transducer's key performance, the optimal design parameters of the multi-frequency transducer are given. Finally, the electromechanical properties of the multi-frequency transducer are tested experimentally, the theoretical analysis and finite element results are verified well.

Optimum design of a composite floor system considering environmental and economic impacts

Abstract The composite floor system, composed of steel deck and concrete slab, generates more efficient and economical structures. On the other hand, the design of this type of structure has a high complexity level due to the consideration of several variables. In this respect, the objective of this paper is to present the formulation of the optimization problem for a composite floor system (steel and concrete) considering such environmental as economic impacts. To formulate the optimization problem, the reduction of environmental impact was adopted as an objective function - assuming the CO2 emission and the finance cost as parameters. The restrictions were taken by the limiting states imposed in standard NBR 8800:2008. The computer program was developed via Matlab R2016a and the optimization process was carried out using the Genetic Algorithm toolbox existing in this platform. Two application examples of the formulation at hand are presented: the first from the literature and the second from an existing building - in both situations the influences of different concrete compressive characteristic strengths were analyzed. The results of the optimization problem show a reduction in geometry and, consequently, in its weight. The solution found by the program reduces by up to 17.70% of CO2 emissions and 17.47% of the finance cost. When was applying different concrete compressive strengths, the optimal solution for environmental impact did not get the lowest cost. In general, the steel deck formwork obtained the highest percentage of environmental impact, while the beams and girders, with the same shape configuration, had the highest finance cost. Therefore, it is shown that the optimal design solution to CO2 emissions is not always the better solution for the finance cost.

Optimization design of the ignition system for Wankel rotary engine considering ignition environment, flow, and combustion

To improve the poor in-cylinder combustion condition of the spark ignition (SI) Wankel rotary engine (WRE) and improve its efficiency, this paper optimized the traditional SI system into an in-cylinder spark ignition (ICSI) system. The ICSI system achieves direct ignition inside the combustion chamber rather than inside the ignition chamber by optimizing the structure and installation position of the spark plug. The cathode was arranged on the moving rotor, and the anode was located on the modified spark plug on the cylinder surface. To maintain a constant spark gap between the cathode and the anode during the rotor motion, a constant distance profile for the rotor was proposed for the first time in this paper. For in-depth analysis of changes in in-cylinder flow, ignition environment, flame propagation, and combustion parameters, a three-dimensional computational fluid dynamic (CFD) model of the WRE based on the reasonable turbulent model and the reduced chemical kinetic mechanism for gasoline was established, and its reliability was validated by comparing to experimental results. The calculation results indicated that the introduction of the ICSI system increased the peak pressure up to 24%, which greatly improved the engine performance. The turbulence intensity was increased during intake and decreased during ignition and combustion. In addition, it was proved that the structure of the cathode and the spark timing of the ICSI system had effects on combustion, emissions, and engine performance, which is of great design and research value. The ICSI system proposed in this paper greatly optimized the in-cylinder flow and combustion, providing a new direction for the performance optimization of the WRE. • A novel in-cylinder spark ignition system for WRE was proposed and analyzed. • The ICSI system achieves direct ignition inside the combustion chamber. • A constant distance profile was proposed to ensure constant spark gaps. • An all-around performance improvement was realized by the ICSI system. • The spark timing and cathode shape determine the potential of the ICSI system.

Joint Optimization Design of Insulation and Electric Heat Tracing System of Molten Salt Pipelines in Csp Plants

Joint Optimization Design of Insulation and Electric Heat Tracing System of Molten Salt Pipelines in Csp Plants

Research on Optimization Design of Hierarchical Medical System in Post-epidemic Era Based on Sociological Perspective

In the post-epidemic era, which is undoubtedly a long-term and complex era, the development of hierarchical medical system is widely concerned as an effective solution to the "difficulty in accessing medical care" in China. Based on the perspective of sociological structural functionalism, this paper analyzes the organizational relationships of various stakeholders in the hierarchical medical system, and discusses the operating mechanism of each organization. Taking the optimization of the organizational relationship between patients and primary medical institutions as the starting point, it advocates that the community-level hospitals’ service platform should be the main body, innovate and expand the service model of primary medical institutions, and increase the "community embeddedness" of primary medical institutions. In addition, we will establish a close two-way referral system between primary medical hospitals and higher-level hospitals based on Internet technology, so that each organizational structure can form a benign and friendly interaction.

Optimization Design of Ferry Material Performance Test System Based on Artificial Intelligence

Lead titanate in titanium‐titanium mine and lead (solid solution optimized ferroelectric) is one of the most widely used multifunctional material systems, and they are outside the field (such as light, electricity, and heat) Structure, domain, and phase evolution characteristics are important for ferroelectric, piezoelectric, photoelectric, and memory applications. Functional materials are those high‐tech materials with excellent electrical, magnetic, optical, and thermal functions, special physical, and chemical and biological effects, capable of completing functional interconversion, mainly used to manufacture various functional components and are widely used in various high‐tech fields. This paper mainly analyzes iron and electrical materials and artificial intelligence technology by studying the characteristics of ferroelectric materials and research status at home and abroad and using artificial intelligence technology and the calculation of ferroelectric materials for artificial intelligence technology and Dexie optimization model. Artificial intelligence is a new technical science that studies and develops theories, methods, technologies, and application systems for simulating, extending, and expanding human intelligence. For artificial intelligence before the optimization of the hardware and software of the ferroelectric material performance test system, the optimized system is performed; the optimized system is subjected to safety testing; all test results show that the performance test of the ferroelectric material after optimization. The system data is well operating, and the artificial intelligence technology is suitable for optimization of the performance test system of ferroelectric material.

Integrated optimization design of mirror semi-active support system based on Warping Harness

The predecessor of China Optics was China Optics and Applied Optics Digest, which was founded in 1985. At that time, it was the only retrieval journal in the field of optics in China. At the end of 2008, China Optics and Applied Optics Digest was renamed

Optimization design of distance education resource recommendation system based on hierarchical linear model

Optimization design of distance education resource recommendation system based on hierarchical linear model

Study on Dynamic Model and Dynamic Characteristics of Solar Field of 50 Mw Trough Solar Thermal Power Generation Plant

Solar thermal power generation solves the problem of fluctuation and intermittency through energy storage system, and can bear the basic power load and peak load regulation. It is an important technical way for China's energy structure transformation. As a complex thermal system with multivariable disturbance, large inertia and large delay, the operation control of the solar field is a difficult issue. In this paper, the solar field of the first 50 MW trough solar thermal demonstration power plant in China is taken as the research object. Based on the topological structure and working principle of the solar field and the basic laws of optics and thermodynamics, the hydrodynamic calculation model and the heat transfer dynamic model are developed. The correctness of the model is verified by comparing the simulation results with the actual operation data. On this basis, the disturbance simulations are carried out. In addition, the dynamic response curves of step disturbance and the inertia time constant of the heat collecting loops are obtained. The conclusions of this paper have important guiding significance for the operation control strategy formulation and system optimization design of trough solar thermal power generation system.

A novel improved version of hunger games search algorithm for function optimization and efficient controller design of buck converter system

There is a continuous effort to develop efficient control mechanisms for power converters as it is a challenging task due to nonlinear nature of such systems. As part of the ongoing effort in the related field, a novel control method is presented in this paper. The proposed method with this study involves a fractional order proportional-integral-derivative (FOPID) controller and the development of a novel metaheuristic algorithm for tuning in order to achieve optimum performance of a buck converter system. In terms of the metaheuristic algorithm, an improved version of the hunger games search (IHGS) algorithm is developed by enhancing the intensification and the diversification abilities of the hunger games search (HGS) algorithm with the aid of Nelder-Mead simplex method and the random learning mechanism, respectively. Several classical unimodal, multimodal, and fixed dimensional benchmark functions along with CEC2019 test suite are used to confirm the improved structure of the developed IHGS algorithm. A novel objective function is also constructed in this study by modifying the structure of the performance index known as integral of squared error. The novel IHGS algorithm together with the novel objective function are proposed as an efficient tool to design a FOPID controller employed in a buck converter system. The proposed method's superiority for the operation of a buck converter system is confirmed comparatively with transient and frequency responses along with robustness analysis in terms of parametric uncertainties and measurement noise along with input and load voltage fluctuations using the best performing methods of artificial ecosystem optimization algorithm based PID, Lévy flight distribution algorithm based PIDA and Harris hawks optimization algorithm based FOPID controllers. The other capable approaches reported in the literature are also used to further confirm the excellent ability of the proposed method for controlling a buck converter system.

Data Driven Strategy for Linear Parameter Varying Control Design

In this paper, we propose a novel data driven strategy framework for linear parameter varying closed loop system which consists of linear parameter varying system and linear parameter varying controller simultaneously. Firstly, we consider the model based control framework whose controller design is dependent of the considered system. In particular, due to the unknown system and unknown controller, data driven strategy is applied to obtain the system and controller respectively in their nonparametric and parametric forms. Such two different forms are related with system identification, power spectral and numerical optimization ,etc. with a choice of the optimal input signal design. Secondly, to avoid the identification process of that system, data driven strategy is modified to design the controller directly from the observed input-output data sequence without providing any priori information on the considered system. We show that various techniques for data driven strategy to identify system or design controller, such as system identification, numerical optimization, power spectral and optimal input design etc within the proposed general framework.

Developing a multi-objective multi-layer model for optimal design of residential complex energy systems

Optimal planning of residential complex energy systems requires thorough mathematical modelling to address the interconnections between all the energy installations from the largest ones, shared by all the residents, to the smallest ones in each distinct unit. Besides, conflicting desires of investors and residents in various aspects such as reliability index make this problem more challenging. In response, this paper presents a thorough framework to obtain the optimum design and operation of a residential complex energy system from scratch. To address the appropriate interconnection between various components of such an energy system, a multi-layer energy hub structure is proposed. Besides, the proposed optimization problem consists of a multi-objective function to consider several criteria such as reliability, operational costs, and investment costs to address both investors’ and residents’ desires appropriately. A Multi-objective Particle Swarm Optimization (MOPSO) algorithm is implemented to obtain the optimum solutions for the developed optimization problem, and a set of Pareto optimal solutions are introduced. By doing so, investors can accurately analyse the interrelation among different objectives such as reliability, investment costs, and operational costs of the residential complex and choose an optimum solution based on their priorities. To demonstrate the effectiveness of the proposed method, it is applied to a case study consisting of a residential energy system with 300 units. The numerical results indicate that such a framework not only reduces total operation and investments costs by 24% but also increases reliability, continuity of energy supply, significantly in comparison to other common methods such as single-layer EH and single-objective EH planning frameworks.

Concurrent topology optimization of shells with self-supporting infills for additive manufacturing

This paper presents a systematic design optimization approach for shells with self-supporting infills for Additive Manufacturing (AM). The design workflow includes a concurrent Topology Optimization (TO) of the shells and the infills using a density based TO approach, followed by a model reconstruction that is tailored to guarantee a precise overhang control on the output Boundary-represented (B-rep) geometry. In the TO model, a new overhang constraint is developed to ensure that the TO result satisfying an overhang angle is defined on a basis of the discrete mesh elements. The TO process is stabilized by utilizing an adaptive parameter updating strategy and a two-field based formulation is proposed to control the minimum length scale. The topology optimized result is re-constructed into a B-rep model afterwards, in which the maximum overhang span of the explicit geometry is strictly controlled to satisfy the manufacturability requirement of an actual AM process. By applying the proposed TO and the associated geometry reconstruction together, the optimized infills are not only self-supporting but also can support the optimized shells from the structural inside. Truly manufacturable shell–infill structures with desirable mechanical properties can be obtained regardless of the voxel granularity of TO. Numerical examples and AM prototypes are given to demonstrate the effectiveness and the applicability of the proposed approach.

Optimization and Information System Design of Undergraduate Primary Education Major Curriculum System Based on Big Data

Optimization and Information System Design of Undergraduate Primary Education Major Curriculum System Based on Big Data

Conduction Transformation-Based Coordination Method for Conflict in Product Adaptive Design Driven by Functional Requirements

A conduction transformation-based coordination method for product structure optimization design was proposed for the conflict between satisfying product functional requirements and realizing adaptive modification. Customer functional requirements were analyzed hierarchically, the extension domains that indicated the matching degree between customer requirement and product function were delimited; and then a multi-layer function-behavior-structure (FBS) mapping model was established. Product function-structure correlation analysis was carried out in two dimensions, i.e., “structure-structure”, and “structure-function”; a product structure behavior function (SBF) reverse conduction model was constructed based on FBS decomposition model; thus, to realize reverse conduction from structure layer to function layer. For conflict coordination in structure modification, extension transformation operations were created, the conduction transformation trigger unit was extracted, and the trigger condition was also clarified; thus, the coordination strategy for the contradiction in adaptive design could be generated by conducting active and conduction transformations. Finally, the effectiveness and feasibility of this method were verified with the structure optimization design of a delivery system of cutting machine as an example; and the discussion section emphasized that this proposed method used conduction transformation to address design conflict, instead of generating the optimal change propagation path, and how to obtain innovation inspiration.

Device performance matching and optimization of photovoltaic-thermoelectric hybrid system

• The effects of various factors on the device selection of the hybrid system are studied. • A device selection method of the hybrid system with broad suitability is established. • A multi-objective genetic algorithm is adopted to optimize the coupling efficiency and efficiency difference. • The two optimization objectives are proved to be negatively correlated. This paper focuses on the two critical issues of device selection and performance optimization for the photovoltaic-thermoelectric hybrid system. Theoretical models of concentrating photovoltaic-thermoelectric hybrid system and concentrating photovoltaic system are established. The impacts of varying factors on system device selection are investigated. The device performance matching mechanism of the coupling system is revealed, and a device selection method of broad suitability is proposed. The optimization of the hybrid system is conducted by adopting a multi-objective genetic algorithm with the highest coupling efficiency and the maximum efficiency difference relative to a single photovoltaic system as the optimization objectives. The results show that the minimum thermoelectric figure of merit of the hybrid system is determined only by the concentration ratio and the photovoltaic device capability when the cooling condition is fine, the thermal contact resistance is low, and the thermoelectric structure is appropriate. The proposed device selection method on the basis of these results can be well employed to select coupling devices and evaluate the system feasibility. The multi-objective optimization results reveal that the two optimization objectives are negatively correlated. Further consideration of the system economy is required to determine the compromise between the highest coupling efficiency and the maximum efficiency difference for the optimum design of the coupling system.

Analysis on Technical Points of Energy-saving Optimization Design of Building Electrical Lighting System

Analysis on Technical Points of Energy-saving Optimization Design of Building Electrical Lighting System

Thermodynamic performance analyses and optimization design method of a novel distributed energy system coupled with hybrid-energy storage

Several studies have novel distributed energy systems combining solar energy utilization and hybrid energy storage technology. However, the research on thermodynamic performance and optimization design of the novel system is still insufficient. Therefore, a novel distributed energy system uses a jacket water heat exchanger and a waste heat boiler to recover the waste heat of the internal combustion engine in turn and shares a water tank with the solar thermal collector in parallel. Then, the influence of different parameters on the thermodynamic performance of the system under variable working conditions is analyzed by the parametric analysis method. On this basis, an optimization design method considering the thermodynamic and economic performance of the novel system is proposed. The novel system is applied to a nearly zero-energy community with an electric vehicle charge load. The results show that the exergy efficiency, primary energy rate, and cost per unit supply area of the novel system in a typical year are 19.2%, 70.1%, and 5.4 $/m2, respectively. Therefore, the novel system is reliable and feasible in providing all kinds of energy to users.

Human body model with blood flow properties for non-invasive blood glucose measurement

In this paper, the authors propose a human body model with the final goal of developing non-invasive blood glucose measurement. Most wearable devices today include antennas and signal processing circuitry capable of non-invasive measurements. Authors plan to extend this circuitry for non-invasive blood glucose measurement with microwave technique. An optimum design of a proposed system needs a human body model. The authors have studied and compared various proposed methods in the published literature for non-invasive blood glucose measurement. Comparative study has concluded that the published human body models have dielectric-based tissue modelling and it is difficult to change the blood glucose concentration in it. Hence, a new human body model is derived and implemented in this work. The proposed model has provision to imitate the human blood flow and can vary blood glucose concentration for simulation purposes. Its accuracy has been defined and the proposed model was compared with standard dataset. It is established in simulation that with changes in blood glucose concentration the dielectric constant, electrical conductivity and other electrical parameters of blood also vary. Based on this, the parameters of the antenna mounted on body are affected. An antenna is fabricated to compare the simulation results with the actual test. It is found that blood glucose variation on extreme ends of the glucose concentration has return loss variation in range of 4–6 dB, while in 170 mg/dL–450 mg/dL range the variation is in between 1 and 3 dB values.

Research on computer interactive optimization design of power system based on genetic algorithm

With the rapid development of network, network technology has been applied to all aspects of real life and has been widely used in power system. There are many network resources in power system, which can strengthen the safe operation of power system and protect system data. However, in real life, there are still some problems in power system security, which have a great impact on power enterprises and people’s lives. In the long-term research and practice, genetic algorithm has shown positive significance in promoting the optimization design of computer interaction network in power system. Based on this, this paper analyzes the application of genetic algorithm in the optimization design of computer interaction network in power system, expounds the basic characteristics of genetic algorithm, and then constructs the optimization model of computer interaction in power system.