Journal of Mechanical Design最新文献_第10页

IF 3.3 3区工程技术

Journal of Mechanical Design Pub Date : 2023-07-11 DOI: 10.1115/1.4062943

M. S. Yousaf, D. Detwiler, F. Duddeck, S. Menzel, Satchit Ramnath, Nathan Zurbrugg, M. Bujny

{"title":"Similarity-driven Topology Optimization for Statics and Crash via Energy Scaling Method","authors":"M. S. Yousaf, D. Detwiler, F. Duddeck, S. Menzel, Satchit Ramnath, Nathan Zurbrugg, M. Bujny","doi":"10.1115/1.4062943","DOIUrl":"https://doi.org/10.1115/1.4062943","url":null,"abstract":"\u0000 Topology Optimization (TO) is used in the initial design phase to optimize certain objective functions under given boundary conditions by finding suitable material distributions in a specified design domain. Currently available methods in industry work very efficiently to get topologically-optimized design concepts under static and dynamic load cases. However, conventional methods do not address the designer's preferences about the final material layout in the optimized design. In practice, the final design might be required to have a certain degree of local or global structural similarity with an already present good reference design because of economic, manufacturing and assembly limitations or the desire to re-use parts in different systems. In this article, a heuristic Energy Scaling Method (ESM) for similarity-driven TO under static as well as dynamic loading conditions is presented and thoroughly evaluated. A 2D cantilever beam under static point load is used to show that the proposed method can be coupled with gradient-based and also heuristic, non-gradient methods to get designs of varying similarity w.r.t. a reference design. Further testing of the proposed method for similarity-driven TO on a 2D crash test case and a large-scale 3D hood model of a car body indicates the effectiveness of the method for a wide range of problems in the industry. Finally, the application of similarity-driven TO is further extended to show that ESM also has the potential for sensitivity analysis of performance w.r.t. the extension of design domain.","PeriodicalId":50137,"journal":{"name":"Journal of Mechanical Design","volume":"94 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90520044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Topology optimization design of resonant structures based on antiresonance eigenfrequency matching informed by harmonic analysis 基于谐波分析的反共振特征频率匹配的谐振结构拓扑优化设计

IF 3.3 3区工程技术

Journal of Mechanical Design Pub Date : 2023-07-03 DOI: 10.1115/1.4062882

Daniel Giraldo Guzman, C. Lissenden, P. Shokouhi, M. Frecker

{"title":"Topology optimization design of resonant structures based on antiresonance eigenfrequency matching informed by harmonic analysis","authors":"Daniel Giraldo Guzman, C. Lissenden, P. Shokouhi, M. Frecker","doi":"10.1115/1.4062882","DOIUrl":"https://doi.org/10.1115/1.4062882","url":null,"abstract":"\u0000 In this paper, we present a design methodology for resonant structures exhibiting particular dynamic responses by combining an eigenfrequency matching approach and a harmonic analysis-informed eigenmode identification strategy. This systematic design methodology, based on topology optimization, introduces a novel computationally efficient approach for 3D dynamic problems requiring antiresonances at specific target frequencies subject to specific harmonic loads. The optimization's objective function minimizes the error between target antiresonance frequencies and the actual structure's antiresonance eigenfrequencies, while the harmonic analysis-informed identification strategy compares harmonic displacement responses against eigenvectors using a modal assurance criterion, therefore ensuring an accurate recognition and selection of appropriate antiresonance eigenmodes used during the optimization process. At the same time, this method effectively prevents well-known problems in topology optimization of eigenfrequencies such as localized eigenmodes in low-density regions, eigenmodes switching order, and repeated eigenfrequencies. Additionally, our proposed localized eigenmode identification approach completely removes the spurious eigenmodes from the optimization problem by analyzing the eigenvectors' response in low-density regions compared to high-density regions. The topology optimization problem is formulated with a density-based parametrization and solved with a gradient-based sequential linear programming method, including material interpolation models and topological filters. Two case studies demonstrate that the proposed design methodology successfully generates antiresonances at the desired target frequency subject to different harmonic loads, design domain dimensions, mesh discretization, or material properties.","PeriodicalId":50137,"journal":{"name":"Journal of Mechanical Design","volume":"94 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73562772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A conformal design approach of TPMS-based porous microchannels with freeform boundaries 基于tpms的自由边界多孔微通道的保形设计方法

IF 3.3 3区工程技术

Journal of Mechanical Design Pub Date : 2023-07-03 DOI: 10.1115/1.4062881

ZiPeng Chi, Qinghui Wang, Jing-Rong Li, Hailong Xie

{"title":"A conformal design approach of TPMS-based porous microchannels with freeform boundaries","authors":"ZiPeng Chi, Qinghui Wang, Jing-Rong Li, Hailong Xie","doi":"10.1115/1.4062881","DOIUrl":"https://doi.org/10.1115/1.4062881","url":null,"abstract":"\u0000 Triply period minimal surface (TPMS) based porous microchannels with freeform surfaces are extensively used in various applications, e.g., bone scaffold design and thermal management. However, TPMS-based porous microchannels designed by most existing solutions are difficult to conform with the boundaries of freeform surfaces, and the integrity of the TPMS unit at the surface boundary is easily destroyed. Therefore, this work proposes a conformal design method for TPMS-based microchannels based on mesh surface conformal parameterization. A novel geometric structure, namely “quasi-quadrilateral”, is presented with this approach to control the size and shape of TPMS unit. Then, a design method of TPMS network topology in the 2D parametric domain of mesh surfaces is proposed to determine the positions of TPMS units. Based on this network topology, an algorithm to generate conformal TPMS units and TPMS-based microchannels is further presented. The result microchannels can automatically adapt to various freeform surfaces, and the quality of TPMS unit is greatly improved. Moreover, the effectiveness and practicability of the proposed approach are validated by comparative experiments studies with existing solutions.","PeriodicalId":50137,"journal":{"name":"Journal of Mechanical Design","volume":"45 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72534983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization method of design parameters of hypoid gears with low sliding ratio 低滑动比准双曲面齿轮设计参数的优化方法

IF 3.3 3区工程技术

Journal of Mechanical Design Pub Date : 2023-07-03 DOI: 10.1115/1.4062880

Y. Zhang, Zhiyong Wang, Hong-zhi Yan

引用次数: 0

A COMPUTATIONAL MODEL OF HUMAN PROFICIENCY IN ENGINEERING CONFIGURATION DESIGN 人在工程构型设计中的熟练程度计算模型

IF 3.3 3区工程技术

Journal of Mechanical Design Pub Date : 2023-06-28 DOI: 10.1115/1.4062861

Ethan Brownell, J. Cagan, K. Kotovsky

引用次数: 0

Adaptive First-Crossing Approach for Life-Cycle Reliability Analysis 生命周期可靠性分析的自适应首次交叉方法

IF 3.3 3区工程技术

Journal of Mechanical Design Pub Date : 2023-06-26 DOI: 10.1115/1.4062732

Shuijuan Yu, Peng Guo, X. Wu

{"title":"Adaptive First-Crossing Approach for Life-Cycle Reliability Analysis","authors":"Shuijuan Yu, Peng Guo, X. Wu","doi":"10.1115/1.4062732","DOIUrl":"https://doi.org/10.1115/1.4062732","url":null,"abstract":"\u0000 Life-cycle reliability analysis can effectively estimate and present the changes in the state of safety for structures under dynamic uncertainties during their lifecycle. The first-crossing approach is an efficient way to evaluate time-variant reliability-based on the probabilistic characteristics of the first-crossing time point (FCTP). However, the FCTP model has a number of critical challenges, such as computational accuracy. This paper proposes an adaptive first-crossing approach for the time-varying reliability of structures over their whole lifecycle, which can provide a tool for cycle-life reliability analysis and design. The response surface of FCTP regarding input variables is first estimated by performing support vector regression. Furthermore, the adaptive learning algorithm for training support vector regression is developed by integrating the uniform design and the central moments of the surrogate model. Then, the convergence condition, which combines the raw moments and entropy of the first-crossing probability distribution function (PDF), is constructed to build the optimal first-crossing surrogate model. Finally, the first-crossing PDF is solved using the adaptive kernel density estimation to obtain the time-variant reliability trend during the whole lifecycle. Examples are demonstrated to specify the proposed method in applications.","PeriodicalId":50137,"journal":{"name":"Journal of Mechanical Design","volume":"59 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73790953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

G-Puzzle: Infilling 3D Models with Reinforced G-Lattices G-Puzzle:用增强的g格填充3D模型

IF 3.3 3区工程技术

Journal of Mechanical Design Pub Date : 2023-06-26 DOI: 10.1115/1.4062832

Arash Armanfar, E. Ustundag, Erkan Gunpinar

{"title":"G-Puzzle: Infilling 3D Models with Reinforced G-Lattices","authors":"Arash Armanfar, E. Ustundag, Erkan Gunpinar","doi":"10.1115/1.4062832","DOIUrl":"https://doi.org/10.1115/1.4062832","url":null,"abstract":"\u0000 G-Lattices (proposed by Armanfar and Gunpinar) are a group of novel periodic and strut-based lattice structures for additive manufacturing. It has been demonstrated that these structures have superior mechanical properties under compression compared to conventional lattice structures. This paper introduces an extension of G-Lattices (i.e., reinforced G-Lattices) that also have better mechanical performance under inclined (compression) loading conditions. For different inclined loads, separate reinforced G-Lattices are first optimized, and a G-Lattice library is formed. For a part under loading, displacement vectors in each unit cell (cubic domains within inner region of the part) are then extracted. Based on these vectors, (pre-optimized) reinforced G-Lattices are selected from the G-Lattice library and utilized (as infills) in the unit cells. This process is called G-Puzzling. As a proof of concept, parts under three different inclined loading conditions are infilled using reinforced G-Lattices and investigated based on stiffness-over-volume ratios. According to these experiments, the resulting parts, on average, exhibit more than %30 better mechanical performance compared to FBCCZ (a conventional lattice structure).","PeriodicalId":50137,"journal":{"name":"Journal of Mechanical Design","volume":"7 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89765483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Concurrent Build Direction, Part Segmentation, and Topology Optimization for Additive Manufacturing Using Neural Networks 基于神经网络的增材制造并行构建方向、零件分割和拓扑优化

3区工程技术

Journal of Mechanical Design Pub Date : 2023-06-23 DOI: 10.1115/1.4062663

Hongrui Chen, Aditya Joglekar, Kate S. Whitefoot, Levent Burak Kara

{"title":"Concurrent Build Direction, Part Segmentation, and Topology Optimization for Additive Manufacturing Using Neural Networks","authors":"Hongrui Chen, Aditya Joglekar, Kate S. Whitefoot, Levent Burak Kara","doi":"10.1115/1.4062663","DOIUrl":"https://doi.org/10.1115/1.4062663","url":null,"abstract":"Abstract Without an explicit formulation to minimize support structures, topology optimization may create complex shapes that require an intensive use of support material when additively manufactured. We propose a neural network-based approach to topology optimization that aims to reduce the use of support structures in additive manufacturing. Our approach uses a network architecture that allows the simultaneous determination of an optimized: (1) part segmentation, (2) the topology of each part, and (3) the build direction of each part that collectively minimize the amount of support structure. Through training, the network learns a material density and segment classification in the continuous 3D space. Given a problem domain with prescribed load and displacement boundary conditions, the neural network takes as input 3D coordinates of the voxelized domain as training samples and outputs a continuous density field. Since the neural network for topology optimization learns the density distribution field, analytical solutions to the density gradient can be obtained from the input–output relationship of the neural network. We demonstrate our approach on several compliance minimization problems with volume fraction constraints, where support volume minimization is added as an additional criterion to the objective function. We show that simultaneous optimization of part segmentation along with the topology and print angle optimization further reduces the support structure, compared to a combined print angle and topology optimization without segmentation.","PeriodicalId":50137,"journal":{"name":"Journal of Mechanical Design","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135903221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Multi-objective Bayesian Optimization Supported by an Expected Pareto Distance Change 期望帕累托距离变化支持的多目标贝叶斯优化

IF 3.3 3区工程技术

Journal of Mechanical Design Pub Date : 2023-06-21 DOI: 10.1115/1.4062789

H. Valladares, A. Tovar

{"title":"Multi-objective Bayesian Optimization Supported by an Expected Pareto Distance Change","authors":"H. Valladares, A. Tovar","doi":"10.1115/1.4062789","DOIUrl":"https://doi.org/10.1115/1.4062789","url":null,"abstract":"\u0000 The solution to global (a posteriori) multi-objective optimization problems traditionally relies on population-based algorithms, which are very effective in generating a Pareto front. Unfortunately, due to the high number of function evaluations, these methods are of limited use in problems that involve expensive black-box functions. In recent years, multi-objective Bayesian optimization has emerged as a powerful alternative; however, in many applications, these methods fail to generate a diverse and well-spread Pareto front. To address this limitation, our work introduces a novel acquisition function (AF) for multi-objective Bayesian optimization that produces more informative acquisition landscapes. The proposed AF comprises two terms, namely, a distance-based metric and a diversity index. The distance-based metric, referred to as the expected Pareto distance change, promotes the evaluation of high-performing designs and repels low-performing design zones. The diversity term prevents the evaluation of designs that are similar to the ones contained in the current sampling plan. The proposed AF is studied using seven analytical problems and in the design optimization of sandwich composite armors for blast mitigation, which involves expensive finite element simulations. The results show that the proposed AF generates high-quality Pareto sets outperforming well-established methods such as the Euclidean-based expected improvement function. The proposed AF is also compared with respect to a recently proposed multi-objective approach. The difference in their performance is problem dependent.","PeriodicalId":50137,"journal":{"name":"Journal of Mechanical Design","volume":"91 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73907137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sequential Sampling Based Asymptotic Probability Estimation for High Dimensional Rare Events 基于序贯抽样的高维罕见事件渐近概率估计

IF 3.3 3区工程技术

Journal of Mechanical Design Pub Date : 2023-06-21 DOI: 10.1115/1.4062790

Yanwen Xu, Pingfeng Wang

{"title":"Sequential Sampling Based Asymptotic Probability Estimation for High Dimensional Rare Events","authors":"Yanwen Xu, Pingfeng Wang","doi":"10.1115/1.4062790","DOIUrl":"https://doi.org/10.1115/1.4062790","url":null,"abstract":"\u0000 Accurate analysis of rare failure events with an affordable computational cost is often challenging in many engineering applications, particularly for problems with high dimensional system inputs. The extremely low probabilities occurrences often lead to large probability estimation errors and low computational efficiency. Thus, it is vital to develop advanced probability analysis methods that are capable of providing robust estimations of rare event probabilities with narrow confidence bounds. The general method of determining confidence intervals of an estimator using the central limit theorem faces the critical obstacle of low computational efficiency. This is a side-effect of the widely used Monte Carlo method, which often requires a large number of simulation samples to derive a reasonably narrow confidence interval. In this paper a new probability analysis approach is developed which can be used to derive the estimates of rare event probabilities efficiently with narrow estimation bounds simultaneously for high dimensional problems and complex engineering systems. The asymptotic behavior of the developed estimator is proven theoretically without imposing strong assumptions. An asymptotic confidence interval is established for the developed estimator. The presented study offers important insights into the robust estimations of the probability of occurrences for rare events. The accuracy and computational efficiency of the developed technique is assessed with numerical and engineering case studies. Case study results have demonstrated that narrow bounds can be obtained efficiently using the developed approach with the true values consistently located within the estimation bounds.","PeriodicalId":50137,"journal":{"name":"Journal of Mechanical Design","volume":"79 7 1","pages":""},"PeriodicalIF":3.3,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85405386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0