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    Optimal design of blade in pump as turbine based on multidisciplinary feasible method
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    Abstract:
    In order to make the pump as turbine (PAT) run efficiently and safely, a multidisciplinary optimization design method for PAT blade, which gives consideration to both the hydraulic and intensity performances, is proposed based on multidisciplinary feasibility (MDF) optimization strategy. This method includes blade parametric design, Latin Hypercube Sampling (LHS) experimental design, CFD technology, FEA technology, GA-BP neural network and NSGA-II algorithm. Specifically, a parameterized PAT blade with cubic non-uniform B-spline curve is adopted, and the control point of blade geometry is taken as the design variable. The LHS experimental design method obtains the sample points of training GA-BP neural network in the design space of variables. The hydraulic performance of each sample point (including the hydraulic pressure load on the blade surface) and the strength performance analysis of blades are completed by CFD and FEA technology respectively. In order to save calculation time of the whole optimization design, the multi-disciplinary performance analysis of each sample in the optimization process is completed by single-coupling method. Then, GA-BP neural network is trained. Finally, the multi-disciplinary optimization design problem of PAT blade is solved by the optimization technology combining GA-BP neural network and NSGA-II algorithm. Based on this optimization method, the PAT blade is optimized and improved. The efficiency of the optimized PAT is improved by 1.71% and the maximum static stress on the blade is reduced by 7.98%, which shows that this method is feasible.
    Keywords:
    Latin Hypercube Sampling
    Multidisciplinary design optimization
    This paper presents the ONE SHOT BLADE® technology introduced in the wind turbine blade manufacturing process in order to reduce the time, and hence the costs required to build the blade. A comparison with respect to the standard process is also highlighted. The aim of this study is to optimize the structural configuration of a 50m length blade, built with this innovative manufacturing technique, providing a feasible design according to the international standard requirements.
    Ship design is a complex endeavor requiring the successful coordination of many different disciplines. According to various disciplines requirements, how to get a balanced performance is imperative in ship design. Thus, a all-in-one Multidisciplinary Design Optimization (MDO) approach is proposed to get the optimum performance of the ship considering three disciplines, structure; cargo loads and power of propulsion. In this research a Latin Hypercube Sampling (LHS) is employed to explore the design space and to sample data for covering the design space. For the purpose of reducing the calculation and saving the develop time, a quadratic Response Surface Method (RSM) is adopted as an approximation model for solving the system design problems. Particle Swarm Optimization (PSO) is introduced to search the appropriate design result in MDO in ship design. Finally, the validity of the proposed approach is proven by a case study of a bulk carrier.
    Latin Hypercube Sampling
    Multidisciplinary design optimization
    Naval architecture
    Citations (4)
    Turbine blade vibration is the main problem in turbine blade operation.To guarantee safety operation of turbine unit,the static frequency of all orders of each newly manufactured moving blade should be measured and adjusted.Taking the 1 146 mm last stage long blade as an example,specific calculation method for every order of turbine blade static frequency is being presented,while its structure described and vibration characteristics analyzed.
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    In today's industrial scenario, Gas Turbine is one of the most important components of auxiliary power plant system.In order maximize the overall performance and efficiency of all modern turbines, which theoretically operate according to Brayton cycle, they are operated at a very high temperature.These temperatures are so high that, which may fall in the region of turbine blade material melting point temperatures.Due to such high temperatures there is a possibility that the turbine blades may get damaged due to produced thermal stresses and presents a possible threat to the turbine system as well as the operators.Hence to ensure safe and reliable working of the turbines an effective and reliable cooling system is necessary.Currently available methods for cooling of the turbine blades include film cooling with impingement cooling for the leading edge, rib turbulated cooling using serpentine passages for the middle portion of the blade and pin fin cooling for the trailing edge of the turbine blades.The cooling mechanism for turbine blades must include cooling for all possible regions which are exposed to hot gas flow.The turbine blade tip is one of the critical regions which are severely exposed to hot gas flow occurring due to the leakage of gases from the clearance gap between the turbine tip and the shroud.Hence the tip of the turbine blade must be cooled effectively to prevent thermal expansion of the turbine blade tip due to heating.This cooling will eventually help to avoid rubbing of blades to the shroud which may cause their wear.In this paper, we will be presenting the review of various efforts made by various authors towards the cooling of the turbine blade tip.The paper includes both, experimental methods developed as well as numerical efforts reported.Various experimental setups developed for turbine blade tip cooling includes the pioneer work of R. S. Bunker [1] to the recent efforts put by the Potdar et al.It has been noted that most of the authors had attempted this kind of problems experimentally only.They have found that the heat transfer can be improved by adding various types of protrusions on the flat plate surface.These added surface essentially help to produce vortex kind of structure and eventually increases the turbulence level near the tip surface.However it is also fact that to carry out the experimentations for various conditions is very costly due to the need of the today's sophisticated measuring devices required to understand and visualize the heat transfer phenomena.On the other hand numerical simulations will provide the detailed visualization and analysis of the heat transfer and flow characteristics for cooling of turbine blade tip.However producing the accurate and reliable results using available CFD software ANSYS-Fluent also need to be reviewedAn attempt here is to explore and present most of the recentcontributions presented by various authors.These reviews will help and provide the detailed guidelines for planned numerical and experimental investigations required for the cooling of turbine blade tip, which help to provide the feasible and practically usable solution for cooling turbine tip.
    In the process of wind turbine operation, the blade needs to withstand various kinds of loads. With wind turbine power kept getting bigger, the strength requirement of the blades become higher. In order to improve the strength of the blade, lots of new composite materials are use in blade material component parts. This paper studies the geometry laminated structure, external and structural characteristics of composite blade.
    The purpose of this study is to provide an efficient Multi-Objective Multidisciplinary Robust Design Optimization (MOMRDO) framework. To this end, Bi-Level Integrated System Synthesis (BLISS) framework is implemented as a fast Multi-disciplinary Design Optimization (MDO) framework. Progressive Latin Hypercube Sampling (PLHS) is developed as a Design of Experiment (DOE) of the Uncertainty Analysis (UA). This systematic approach leads to a fast, adaptive and efficient framework for Robust Design Optimization (RDO) of complex systems. The accuracy and performance of the proposed algorithm have been evaluated with various tests. Finally, the RDO of a hydrazine monopropellant thruster is defined as a case study. The results show that the proposed method is a fast and efficient method for the multi-objective optimization design of complex systems, and this approach can be used for other engineering applications as well.
    Latin Hypercube Sampling
    Multidisciplinary design optimization
    Robust Optimization
    Engineering optimization
    BLISS
    Ship design is a complex engineering effort required excellent coordination between the various disciplines and essentially applies iteration to satisfy the relevant requirements, such as stability, power, weight, and strengths. Through, all-in-one Multidisciplinary Design Optimization (MDO) approach is proposed to get the optimum performance of the ship considering three disciplines, power of propulsion, ship loads and structure. In this research a Latin Hypercube Sampling (LHS) is employed to improve the space filling property of the design and explore it to sample data for covering the design space. To avoid the problem of huge calculation time and saving the develop time, a quadratic Response Surface Method (RSM) is adopted as an approximation model to study the relation between a set of design variables and the system output for solving the system design problems. A genetic algorithm (GA) is adopted as search technique used in computing to find exact or approximate solutions to optimize and search problems and appropriate design result in MDO in ship design. Finally, the validity of the proposed approach is proven by a case study of a bulk carrier.
    Latin Hypercube Sampling
    Multidisciplinary design optimization
    Broyden–Fletcher–Goldfarb–Shanno algorithm
    Sample (material)