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BESO Algorithm Sensitivity Weight Analysis And Application To Structural Design

Posted on:2019-08-27Degree:MasterType:Thesis
Country:ChinaCandidate:X N FanFull Text:PDF
GTID:2382330545450636Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
Topology optimization provides an effective method for the development and design of novel engineering structures.On the one hand,highly tedious engineering structures require highly efficient design and manufacture.On the other hand,engineering structures that meet specific performance requirements also urgen tly need to provide lightweight,short-cycle,and high-performance design and manufacturing solutions.However,there are some empirical calculations for the traditional topology optimization methods,which can not provide accurate and reasonable interpret ation and analysis of the optimization results,and then cause inevitable errors.Secondly,although topological optimization is frequently studied,most of them remain in the theoretical stage.The heterogeneity of the topology results in practical applic ations that are not appreciable,making the design and manufacture of topology optimization structures a hot and difficult research topic.In order to solve the effect of empirical calculations,this paper introduces the sensitivity weight segmentation ratio,and uses parameterized research to explore the weight values approaching accurate results.At the same time,based on specific optimization methods,new structural design strategies are proposed for complex three-dimensional structures and large thin plate structures.Strategy.The main research works are as follows:1.Based on the problem of instability solution caused by the historical iteration information in the traditional structure optimization method,the paper compares and verifies the numerical effect of the improved average processing of historical iteration information.After that,based on the sensitivity empirically averaged segmentation.The parametric study of the effects of different partitioning ratios on sensitivity and structu ral stiffness of the algorithm in the history iteration process is performed.Through the analysis,the sensitivity weight division ratio with more practical guidance is obtained.The results show that the golden ratio are better than historical iteration average.2.Aiming at the problems of long period and low efficiency in designing the engineering structure of traditional topology optimization methods,a new high efficiency 3D structural design strategy is proposed.The strategy adopts a simple and efficient optimization method to optimize the topology.Then,it uses the geometric inverse reverse design to reconstruct the model and conduct 3D printing manufacturing and mechanical performance test to redesign.A typical T structure is used as an example to verify the feasibility of the proposed strategy.The results show that the test agrees well with the simulation and meets the engineering stiffness requirements,which can greatly shorten the design and manufacturing cycle and guide the actual production.3.In order to simultaneously consider the structural design and manufacturing process,a new framework is proposed for thin-plate design and manufacture based on the origami and topology.The method includes topology design,unfolding,subtraction manufacturing and folding.Designing and manufacturing the horizontal origami and Miura origami cantilevers made of cardboard using the proposed framework.The results show that this method provides another large-scale structure design that is more suitable for thin metal materials.
Keywords/Search Tags:Topology optimization, Sensitivity weight, 3D printing, Origami technology
PDF Full Text Request
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