Advanced Modeling and Simulation in Engineering Sciences最新文献_第3页

A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings 基于机器学习增强型减阶模型的混合孪生系统，用于磁悬浮轴承的实时仿真

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2024-02-03 DOI: 10.1186/s40323-024-00258-2

Chady Ghnatios, Sebastian Rodriguez, Jerome Tomezyk, Yves Dupuis, Joel Mouterde, Joaquim Da Silva, Francisco Chinesta

{"title":"A hybrid twin based on machine learning enhanced reduced order model for real-time simulation of magnetic bearings","authors":"Chady Ghnatios, Sebastian Rodriguez, Jerome Tomezyk, Yves Dupuis, Joel Mouterde, Joaquim Da Silva, Francisco Chinesta","doi":"10.1186/s40323-024-00258-2","DOIUrl":"https://doi.org/10.1186/s40323-024-00258-2","url":null,"abstract":"The simulation of magnetic bearings involves highly non-linear physics, with high dependency on the input variation. Moreover, such a simulation is time consuming and can’t run, within realistic computation time for control purposes, when using classical computation methods. On the other hand, classical model reduction techniques fail to achieve the required precision within the allowed computation window. To address this complexity, this work proposes a combination of physics-based computing methods, model reduction techniques and machine learning algorithms, to tackle the requirements. The physical model used to represent the magnetic bearing is the classical Cauer Ladder Network method, while the model reduction technique is applied on the error of the physical model’s solution. Later on, in the latent space a machine learning algorithm is used to predict the evolution of the correction in the latent space. The results show an improvement of the solution without scarifying the computation time. The solution is computed in almost real-time (few milliseconds), and compared to the finite element reference solution.","PeriodicalId":37424,"journal":{"name":"Advanced Modeling and Simulation in Engineering Sciences","volume":"19 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139669158","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fast rapidly convergent penetrable scattering computations 快速收敛的可穿透散射计算

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2024-01-20 DOI: 10.1186/s40323-023-00255-x

Jagabandhu Paul, Ambuj Pandey, B. V. Rathish Kumar, Akash Anand

{"title":"Fast rapidly convergent penetrable scattering computations","authors":"Jagabandhu Paul, Ambuj Pandey, B. V. Rathish Kumar, Akash Anand","doi":"10.1186/s40323-023-00255-x","DOIUrl":"https://doi.org/10.1186/s40323-023-00255-x","url":null,"abstract":"We present a fast high-order scheme for the numerical solution of a volume-surface integro-differential equation. Such equations arise in problems of scattering of time-harmonic acoustic and electromagnetic waves by inhomogeneous media with variable density wherein the material properties jump across the medium interface. The method uses a partition of unity to segregate the interior and the boundary regions of the scattering obstacle, enabling us to make use of specially designed quadratures to deal with the material discontinuities in a high-order manner. In particular, the method uses suitable changes of variables to resolve the singularities present in the integrals in conjunction with a decomposition of Green’s function via the addition theorem. To achieve a reduced computational cost, the method employs a Fast Fourier Transform (FFT) based acceleration strategy to compute the integrals over the boundary region. Moreover, the necessary offgrid evaluation of the density and the inter-grid transfer of data is achieved by applying an FFT-based refined-grid interpolation strategy. We validate the performance of the method through multiple scattering simulations. In particular, the numerical experiments demonstrate that the proposed method can handle high-contrast material properties without any adverse effect on the number of GMRES iterations.","PeriodicalId":37424,"journal":{"name":"Advanced Modeling and Simulation in Engineering Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139509172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dimension independent data sets approximation and applications to classification 独立维度数据集近似及在分类中的应用

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2024-01-03 DOI: 10.1186/s40323-023-00256-w

Patrick Guidotti

引用次数: 0

An efficient PGD solver for structural dynamics applications. 结构动力学应用的高效 PGD 求解器

IF 2

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2024-01-01 Epub Date: 2024-07-23 DOI: 10.1186/s40323-024-00269-z

Clément Vella, Pierre Gosselet, Serge Prudhomme

引用次数: 0

Data-driven material modeling based on the Constitutive Relation Error. 基于本构关系误差的数据驱动材料建模。

IF 2

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2024-01-01 Epub Date: 2024-12-18 DOI: 10.1186/s40323-024-00279-x

Pierre Ladevèze, Ludovic Chamoin

引用次数: 0

Improved accuracy of continuum surface flux models for metal additive manufacturing melt pool simulations. 提高用于金属添加剂制造熔池模拟的连续表面通量模型的精度。

IF 4.1

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2024-01-01 Epub Date: 2024-08-22 DOI: 10.1186/s40323-024-00270-6

Nils Much, Magdalena Schreter-Fleischhacker, Peter Munch, Martin Kronbichler, Wolfgang A Wall, Christoph Meier

{"title":"Improved accuracy of continuum surface flux models for metal additive manufacturing melt pool simulations.","authors":"Nils Much, Magdalena Schreter-Fleischhacker, Peter Munch, Martin Kronbichler, Wolfgang A Wall, Christoph Meier","doi":"10.1186/s40323-024-00270-6","DOIUrl":"10.1186/s40323-024-00270-6","url":null,"abstract":"Computational modeling of the melt pool dynamics in laser-based powder bed fusion metal additive manufacturing (PBF-LB/M) promises to shed light on fundamental mechanisms of defect generation. These processes are accompanied by rapid evaporation so that the evaporation-induced recoil pressure and cooling arise as major driving forces for fluid dynamics and temperature evolution. The magnitude of these interface fluxes depends exponentially on the melt pool surface temperature, which, therefore, has to be predicted with high accuracy. The present work utilizes a diffuse interface finite element model based on a continuum surface flux (CSF) description of interface fluxes to study dimensionally reduced thermal two-phase problems representative for PBF-LB/M in a finite element framework. It is demonstrated that the extreme temperature gradients combined with the high ratios of material properties between metal and ambient gas lead to significant errors in the interface temperatures and fluxes when classical CSF approaches, along with typical interface thicknesses and discretizations, are applied. It is expected that this finding is also relevant for other types of diffuse interface PBF-LB/M melt pool models. A novel parameter-scaled CSF approach is proposed, which is constructed to yield a smoother temperature field in the diffuse interface region, significantly increasing the solution accuracy. The interface thickness required to predict the temperature field with a given level of accuracy is less restrictive by at least one order of magnitude for the proposed parameter-scaled approach compared to classical CSF, drastically reducing computational costs. Finally, we showcase the general applicability of the parameter-scaled CSF to a 3D simulation of stationary laser melting of PBF-LB/M considering the fully coupled thermo-hydrodynamic multi-phase problem, including phase change.","PeriodicalId":37424,"journal":{"name":"Advanced Modeling and Simulation in Engineering Sciences","volume":"11 1","pages":"16"},"PeriodicalIF":4.1,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11341609/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142056789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Physics-informed two-tier neural network for non-linear model order reduction. 用于减少非线性模型阶次的物理信息双层神经网络。

IF 2

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2024-01-01 Epub Date: 2024-11-14 DOI: 10.1186/s40323-024-00273-3

Yankun Hong, Harshit Bansal, Karen Veroy

{"title":"Physics-informed two-tier neural network for non-linear model order reduction.","authors":"Yankun Hong, Harshit Bansal, Karen Veroy","doi":"10.1186/s40323-024-00273-3","DOIUrl":"10.1186/s40323-024-00273-3","url":null,"abstract":"In recent years, machine learning (ML) has had a great impact in the area of non-intrusive, non-linear model order reduction (MOR). However, the offline training phase often still entails high computational costs since it requires numerous, expensive, full-order solutions as the training data. Furthermore, in state-of-the-art methods, neural networks trained by a small amount of training data cannot be expected to generalize sufficiently well, and the training phase often ignores the underlying physical information when it is applied with MOR. Moreover, state-of-the-art MOR techniques that ensure an efficient online stage, such as hyper reduction techniques, are either intrusive or entail high offline computational costs. To resolve these challenges, inspired by recent developments in physics-informed and physics-reinforced neural networks, we propose a non-intrusive, physics-informed, two-tier deep network (TTDN) method. The proposed network, in which the first tier achieves the regression of the unknown quantity of interest and the second tier rebuilds the physical constitutive law between the unknown quantities of interest and derived quantities, is trained using pretraining and semi-supervised learning strategies. To illustrate the efficiency of the proposed approach, we perform numerical experiments on challenging non-linear and non-affine problems, including multi-scale mechanics problems.","PeriodicalId":37424,"journal":{"name":"Advanced Modeling and Simulation in Engineering Sciences","volume":"11 1","pages":"20"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11564392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142649127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A consistent diffuse-interface model for two-phase flow problems with rapid evaporation. 快速蒸发两相流问题的一致扩散界面模型。

IF 2

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2024-01-01 Epub Date: 2024-11-13 DOI: 10.1186/s40323-024-00276-0

Magdalena Schreter-Fleischhacker, Peter Munch, Nils Much, Martin Kronbichler, Wolfgang A Wall, Christoph Meier

{"title":"A consistent diffuse-interface model for two-phase flow problems with rapid evaporation.","authors":"Magdalena Schreter-Fleischhacker, Peter Munch, Nils Much, Martin Kronbichler, Wolfgang A Wall, Christoph Meier","doi":"10.1186/s40323-024-00276-0","DOIUrl":"10.1186/s40323-024-00276-0","url":null,"abstract":"We present accurate and mathematically consistent formulations of a diffuse-interface model for two-phase flow problems involving rapid evaporation. The model addresses challenges including discontinuities in the density field by several orders of magnitude, leading to high velocity and pressure jumps across the liquid-vapor interface, along with dynamically changing interface topologies. To this end, we integrate an incompressible Navier-Stokes solver combined with a conservative level-set formulation and a regularized, i.e., diffuse, representation of discontinuities into a matrix-free adaptive finite element framework. The achievements are three-fold: First, we propose mathematically consistent definitions for the level-set transport velocity in the diffuse interface region by extrapolating the velocity from the liquid or gas phase. They exhibit superior prediction accuracy for the evaporated mass and the resulting interface dynamics compared to a local velocity evaluation, especially for strongly curved interfaces.Second, we show that accurate prediction of the evaporation-induced pressure jump requires a consistent, namely a reciprocal, density interpolation across the interface, which satisfies local mass conservation. Third, the combination of diffuse interface models for evaporation with standard Stokes-type constitutive relations for viscous flows leads to significant pressure artifacts in the diffuse interface region. To mitigate these, we propose to introduce a correction term for such constitutive model types. Through selected analytical and numerical examples, the aforementioned properties are validated. The presented model promises new insights in simulation-based prediction of melt-vapor interactions in thermal multiphase flows such as in laser-based powder bed fusion of metals.","PeriodicalId":37424,"journal":{"name":"Advanced Modeling and Simulation in Engineering Sciences","volume":"11 1","pages":"19"},"PeriodicalIF":2.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561015/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142649118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-world application of a discrete feedback control system for flexible biogas production 离散反馈控制系统在柔性沼气生产中的实际应用

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2023-11-27 DOI: 10.1186/s40323-023-00251-1

Lingga Aksara Putra, Bernhard Huber, Matthias Gaderer

{"title":"Real-world application of a discrete feedback control system for flexible biogas production","authors":"Lingga Aksara Putra, Bernhard Huber, Matthias Gaderer","doi":"10.1186/s40323-023-00251-1","DOIUrl":"https://doi.org/10.1186/s40323-023-00251-1","url":null,"abstract":"Using renewable energy is increasingly prevalent as part of a global effort to safeguard the environment, with a reduction in $${mathrm{CO}}_{2}$$ being one of the primary objectives. A biogas plant provides an opportunity to produce green energy, but its profitability prevents it from being utilized more frequently. A suitable response to this economic issue would be flexible biogas production to exploit fluctuating energy prices. Nevertheless, the complex nature of the anaerobic digestion process that proceeds within the biogas plant and the wide range of substrates that may be utilized as the plant’s feeds make it challenging to achieve flexible biogas production truly. Most plant operators will rely on their experience and intuition to run the plant without knowing exactly how much biogas they will produce with the feed substrate. This work combines a system model estimation and feedback controller to provide an intuitive yet precise feedback control system. The system model estimation represents the biogas plant mathematically, and a total of six distinct approaches have been compared and evaluated. A PT1 model most accurately approximated the step-down and the step-up by the time percentage method, with the Akaike Information Criterion as the primary evaluation criterion for selecting the best model. The downward model was controlled by a discrete PI controller modified with the Root Locus Method and an Anti-Windup scheme, and the upward model was controlled by a state space controller. The quality of the controller was evaluated in both simulation and at the actual biogas plant in Grub, and the controller was able to reduce the biogas production rate approaching the setpoint in the expected period. Furthermore, the developed feedback control system is effortless enough to be installed in many biogas plants.","PeriodicalId":37424,"journal":{"name":"Advanced Modeling and Simulation in Engineering Sciences","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138529347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes 金属增材制造过程局部热建模中常见简化方法的分类与分析

Advanced Modeling and Simulation in Engineering Sciences Pub Date : 2023-11-08 DOI: 10.1186/s40323-023-00253-z

Rajit Ranjan, Matthijs Langelaar, Fred Van Keulen, Can Ayas

{"title":"Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes","authors":"Rajit Ranjan, Matthijs Langelaar, Fred Van Keulen, Can Ayas","doi":"10.1186/s40323-023-00253-z","DOIUrl":"https://doi.org/10.1186/s40323-023-00253-z","url":null,"abstract":"Abstract Computational process modelling of metal additive manufacturing has gained significant research attention in recent past. The cornerstone of many process models is the transient thermal response during the AM process. Since deposition-scale modelling of the thermal conditions in AM is computationally expensive, spatial and temporal simplifications, such as simulating deposition of an entire layer or multiple layers, and extending the laser exposure times, are commonly employed in the literature. Although beneficial in reducing computational costs, the influence of these simplifications on the accuracy of temperature history is reported on a case-by-case basis. In this paper, the simplifications from the existing literature are first classified in a normalised simplification space based on assumptions made in spatial and temporal domains. Subsequently, all types of simplifications are investigated with numerical examples and compared with a high-fidelity reference model. The required numerical discretisation for each simplification is established, leading to a fair comparison of computational times. The holistic approach to the suitability of different modelling simplifications for capturing thermal history provides guidelines for the suitability of simplifications while setting up a thermal AM model.","PeriodicalId":37424,"journal":{"name":"Advanced Modeling and Simulation in Engineering Sciences","volume":"78 S344","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135342543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0