Advances in Engineering Software最新文献

{"title":"Optimal Tool Path Planning in Five-Axis Flank Milling for Cylindrical Cutters using Surrogate Models and Multi-Level Space Reduction Techniques","authors":"Jin Yi ,&nbsp;Chi-Lung Kuo ,&nbsp;Kai-Wen Tien ,&nbsp;Chih-Hsing Chu","doi":"10.1016/j.advengsoft.2024.103854","DOIUrl":"10.1016/j.advengsoft.2024.103854","url":null,"abstract":"<div><div>Precise error control in 5-axis flank milling of complex surfaces through optimal tool path planning is a challenging task. The solution process usually involves a large number of decision variables in a highly nonlinear search space. The performance of previous meta-heuristic algorithms on this problem has been unsatisfactory, largely due to the curse of dimensionality. This paper proposes a computational scheme for generating optimal tool paths based on multi-level space reduction techniques integrated with surrogate models. A global model is first constructed to offer an approximation to the actual solution landscape that facilitates quick identification of a potential global optimal area. Next, a local model is created around the optimal area to estimate more accurate solutions. This two-step process can repeat for multiple iterations until a satisfactory solution is achieved. We compare how different surrogate modeling methods and sampling techniques influence the optimization process based on the scheme. Test results on representative surfaces show that it outperforms other methods in terms of both solution quality and search efficiency. This work provides an effective approach for enhancing geometric accuracy in five-axis flank milling.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103854"},"PeriodicalIF":4.0,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fast parametric modeling of visualized simulation and design for tracked vehicle system","authors":"Pingxin Wang ,&nbsp;Xiaoting Rui ,&nbsp;Junjie Gu ,&nbsp;Kai Huang ,&nbsp;Lei Zhou ,&nbsp;Min Jiang","doi":"10.1016/j.advengsoft.2024.103852","DOIUrl":"10.1016/j.advengsoft.2024.103852","url":null,"abstract":"<div><div>The burgeoning demand for efficient and accurate design methodologies in the engineering domain has been accentuated by the complexities inherent in the development of tracked vehicle systems. Despite the advent of virtual prototyping and computer-aided design technologies, challenges persist in achieving rapid parametric modeling of these systems, particularly due to their intricate assembly requirements and dynamics simulations. This paper develops a novel fast parametric modeling plugin for the simulation and design of tracked vehicle systems. It integrates advanced visualization techniques and an automatic assembly algorithm. Utilizing the open-source Open CASCADE library, the developed plugin facilitates sophisticated manipulations of 3D models. Leveraging an integrated Python console editor, the Python scripts are seamlessly converted into Open Inventor scripts and are rendered via the Coin3D engine. Ultimately, the model is displayed within the Qt graphical user interface framework. The key finding is the creation of the automatic assembly algorithm, which starts from an individual track link and automatically constructs a continuous track assembly. The case studies illustrate the systematic application of the parametric modeling technology in the dynamic modeling and optimization of a representative tracked vehicle, highlighting the plugin's efficiency and the accuracy. By employing a Particle Swarm Optimization algorithm to optimize the geometric parameters of wheels and tracks, the vehicle vibration has been reduced. The unique value of this paper lies in its contribution to the field of vehicle engineering through the provision of a robust parametric modeling tool that enhances the efficiency of virtual simulation and design processes.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103852"},"PeriodicalIF":4.0,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182908","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A remedy to mitigate tensile instability in SPH for simulating large deformation and failure of geomaterials","authors":"Tapan Jana,&nbsp;Subhankar Pal,&nbsp;Amit Shaw,&nbsp;L.S. Ramachandra","doi":"10.1016/j.advengsoft.2024.103848","DOIUrl":"10.1016/j.advengsoft.2024.103848","url":null,"abstract":"<div><div>Large deformation analysis in geomechanics plays an important role in understanding the nature of post-failure flows and hazards associated with landslides under different natural calamities. In this study, a SPH framework is proposed for large deformation and failure analysis of geomaterials. An adaptive B-spline kernel function in combination with a pressure zone approach is proposed to counteract the numerical issues associated with tensile instability. The proposed algorithm is validated using a soil cylinder drop problem, and the results are compared with FEM. Finally, the effectiveness of the proposed algorithm in the successful removal of tensile instability and stress noise is demonstrated using the well-studied slope failure simulation of a cohesive soil vertical cut.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103848"},"PeriodicalIF":4.0,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182907","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A proposed innovative approach for predicting the torsional moment capacity of half-shaft based on static FEM","authors":"Junlou Li ,&nbsp;Yipo Kang ,&nbsp;Jianjiao Deng ,&nbsp;Xuandong Li ,&nbsp;Youlong Zhang ,&nbsp;Bo Yan","doi":"10.1016/j.advengsoft.2024.103851","DOIUrl":"10.1016/j.advengsoft.2024.103851","url":null,"abstract":"<div><div>The torsional moment capacity of the automotive half-shaft is a crucial design parameter, and the utilization of induction hardening can enhance this capability. This paper presents the development of a comprehensive static finite element simulation model and a three-layer gradient distribution model of material property for the half-shaft based on its actual heat treatment state. A torque prediction model was developed for the torsional moment capacity of the half-shaft based on the torque-angle curve derived from the static finite element analysis. This model accurately and quickly predicts the torque value at which the half-shaft will break during the torsional test. In contrast with the current continuum damage mechanics method, this approach requires a reduced number of material factors and has a lower computing cost. Furthermore, the accuracy of the prediction results in three distinct groups of half-shafts reaches 94 %, 97 %, and 99.6 %. This approach can provide guidance for the design and enhancement of half-shafts, potentially replacing or minimizing the need for torsion testing of automotive half-shafts. It has the potential to minimize the duration of the product development cycle and lower the associated costs. It can also be applied to different drive shafts, demonstrating excellent adaptability and extensive applicability.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103851"},"PeriodicalIF":4.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficient dual-level parallelism solutions for OpenFOAM-based discrete unified gas kinetic scheme","authors":"Feifei Zhang ,&nbsp;Yunlan Wang ,&nbsp;Rui Zhang ,&nbsp;Jie Guo ,&nbsp;Tianhai Zhao ,&nbsp;Sha Liu ,&nbsp;Congshan Zhuo ,&nbsp;Chengwen Zhong","doi":"10.1016/j.advengsoft.2024.103840","DOIUrl":"10.1016/j.advengsoft.2024.103840","url":null,"abstract":"<div><div>The Discrete Unified Gas Kinetic Scheme (DUGKS) is an efficient framework for solving gas kinetic equations, crucial in areas such as aerospace, microfluidics, and vacuum technologies. However, the existing dugksFoam solver (Zhu et al., 2017), developed on OpenFOAM, suffers from low parallel efficiency and high computational costs. This paper focuses on enhancing the efficiency of the dugksFoam solver through optimisations specific for memory access, communication, and computation. Two innovative process-thread hybrid parallel algorithms are proposed, combining dual-level parallelism tailored to the characteristics of the DUGKS algorithm and modern HPC cluster architectures. Algorithm 1 utilises process-level parallelism for physical space partitioning and thread-level parallelism for velocity-space partitioning, while Algorithm 2 swaps these parallel levels. Multiple validation cases were conducted to verify the accuracy of the algorithms. Both algorithms demonstrate significant performance improvements over the existing dugksFoam solver. Algorithm 1 is suitable for small-scale parallelism, and Algorithm 2 achieves linear speedup on 1024 cores, excelling in large-scale parallel scenarios.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103840"},"PeriodicalIF":4.0,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CFD analysis and design of bypass dual throat nozzle for high-performance fluidic thrust vectoring","authors":"Chanho Park ,&nbsp;Woochan Lee ,&nbsp;Seongim Choi","doi":"10.1016/j.advengsoft.2024.103827","DOIUrl":"10.1016/j.advengsoft.2024.103827","url":null,"abstract":"<div><div>The purpose of the study is to investigate detailed flow properties of the bypass dual throat nozzle (BDTN) for fluidic thrust vectoring, and to find an optimal geometry to maximize its performance. The performance metrics of the BDTN are defined as the thrust efficiency and flow deflection angle at the nozzle exit. Given the nozzle pressure ratio (NPR), secondary flows injected from the bypass duct of the nozzle create circulatory flows in the nozzle cavity, produce complex interactions of shock and expansion waves, and deflect the directions of the exit flows. To identify key parameters for the BDTN performance, a sensitivity study is carried out using the traditional finite difference method as well as the AI-assisted Shapley additive explanation methods with respect to geometric variables of the BDTN. For the design optimization, a total of eight geometric parameters were chosen including an upstream convergent angle (<span><math><msub><mrow><mi>θ</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>), a bypass injection angle (<span><math><msub><mrow><mi>θ</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>), cavity divergence and convergence angles (<span><math><msub><mrow><mi>θ</mi></mrow><mrow><mn>3</mn></mrow></msub></math></span> and <span><math><msub><mrow><mi>θ</mi></mrow><mrow><mn>4</mn></mrow></msub></math></span>), upstream and downstream throat diameters (<span><math><msub><mrow><mi>d</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span> and <span><math><msub><mrow><mi>d</mi></mrow><mrow><mn>3</mn></mrow></msub></math></span>), bypass channel diameter (<span><math><msub><mrow><mi>d</mi></mrow><mrow><mn>4</mn></mrow></msub></math></span>), and cavity divergence length (<span><math><msub><mrow><mi>l</mi></mrow><mrow><mn>1</mn></mrow></msub></math></span>). Those parameters were varied by 10<span><math><mo>∼</mo></math></span>20 % of the baseline values to create more than 100 random BDTN geometries which were solved by the full CFD analysis. The multi-variate Gaussian process regression (GPR) model was developed by training the data as a surrogate model to the CFD analysis of arbitrary BDTN shape during the design iteration. Multi-objective optimization was conducted to generate the Pareto optimal front of multiple design candidates for maximum deflection angle and thrust values. The optimum BDTN geometry produced a deflection angle increased up to 13 %, while thrust value was slightly increased from that of the baseline by less than 1%. The approach provides a foundation for future research into adaptive nozzle designs responsive to real-time flow conditions, potentially expanding the applications of fluidic thrust vectoring.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103827"},"PeriodicalIF":4.0,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182903","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robustness of hybrid light gradient boosting for concrete creep compliance prediction","authors":"Viet-Linh Tran ,&nbsp;Duc-Kien Thai ,&nbsp;Jin-Kook Kim","doi":"10.1016/j.advengsoft.2024.103831","DOIUrl":"10.1016/j.advengsoft.2024.103831","url":null,"abstract":"<div><div>Concrete creep is one of the most crucial factors in concrete. A reliable prediction of concrete creep is vital for safe concrete structure design and maintenance. However, the theoretical and empirical models are convoluted and unreliable due to the complex time-dependent behavior of concrete creep. This study collects a comprehensive experimental database from the literature to develop a hybrid machine learning model that combines grey wolf optimizer (GWO) and light gradient boosting (LGB), namely GWO-LGB, for predicting precisely concrete creep compliance (<em>J_creep</em>). Three widely used empirical models and six baseline ensemble machine learning models are adopted to evaluate the efficacy of the developed hybrid GWO-LGB mode. The comparative results reveal that the hybrid GWO-LGB model produces more accuracy in predicting the <em>J_creep</em> than other models. In addition, the Shapley Additive exPlanations (SHAP) method is used to investigate the influence of input parameters on the <em>J_creep</em>. Finally, a web tool is created to apply the hybrid GWO-LGB model readily to predict the <em>J_creep</em> with new input data without cumbersome programming.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103831"},"PeriodicalIF":4.0,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stochastic analysis of FG-CNTRC conical shell panels based on a perturbation stochastic meshless method without partial derivative","authors":"Ping Xiang ,&nbsp;Yufei Chen ,&nbsp;Zhanjun Shao ,&nbsp;Xuan Peng ,&nbsp;Zefeng Liu ,&nbsp;Wei Chen ,&nbsp;Qingshan Wang","doi":"10.1016/j.advengsoft.2024.103832","DOIUrl":"10.1016/j.advengsoft.2024.103832","url":null,"abstract":"<div><div>This study introduces the spatial variability of material parameters into the free vibration analysis of functionally graded carbon nanotube reinforced composite (FG-CNTRC) conical shell panels, using the modified perturbation stochastic method (MPSM) to handle low uncertainty. Based on the first-order shear deformation shell theory, the approximate displacement field is represented by the shape function of the kernel particle. The Young's moduli of carbon nanotubes (CNTs) and the matrix are regarded as one-dimensional (1D) and two-dimensional (2D) random fields, respectively, which are discretized by the Karhunen-Loève (K-L) expansion. The random fields in the rectangular area are extended to the conical area, establishing the random fields for the conical shell panel, and plotting the first six eigenvalue drop point line graphs and eigenfunction diagrams for the conical shell panel. The obtained random variables are substituted into the modified perturbation stochastic method and the Reproducing Kernel Particle Method (RKPM) to calculate the first two-order estimates of the stochastic dimensionless natural frequencies <span><math><mover><mi>ω</mi><mi>‾</mi></mover></math></span>. The sensitivity of the first to fourth <span><math><mover><mi>ω</mi><mi>‾</mi></mover></math></span> to the random fields, the impact of multiple random variables, and multiple random fields on <span><math><mover><mi>ω</mi><mi>‾</mi></mover></math></span> are analyzed, and the corresponding stochastic bands are plotted. The results indicate that <span><math><mover><mi>ω</mi><mi>‾</mi></mover></math></span> is mainly influenced by the random fields <span><math><msubsup><mi>E</mi><mrow><mn>11</mn></mrow><mtext>CNT</mtext></msubsup></math></span>​ and <span><math><msubsup><mi>E</mi><mrow><mn>22</mn></mrow><mtext>CNT</mtext></msubsup></math></span>, and the distribution pattern of carbon nanotubes affects the sensitivity.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103832"},"PeriodicalIF":4.0,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143182902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Structural topology optimization method with adaptive support design","authors":"Jia-Qi Rong ,&nbsp;Yi Rong ,&nbsp;Hua Liu ,&nbsp;Xi-Qiao Feng ,&nbsp;Zi-Long Zhao","doi":"10.1016/j.advengsoft.2024.103830","DOIUrl":"10.1016/j.advengsoft.2024.103830","url":null,"abstract":"<div><div>Topology optimization has undergone rapid development in the past three decades. Conventional optimization techniques usually optimize the material distribution with predefined boundary constraints, where the material usage, type, and layout of the support are not accounted for. In this study, we propose a new method that performs topology optimization with adaptive support design (ASD). This method allows us to prescribe the constraint direction, optimize the support layout, and control the layout complexity during the structural form-finding process. In the ASD method, the structural boundary is constrained using truss elements, and the support layout is iteratively updated according to their efficiency. Five typical numerical examples are given to demonstrate the effectiveness of our method. The results show that, compared with the conventional optimization techniques, the presented method is capable of generating highly efficient structural designs with significantly reduced support material. By changing, e.g., the material usage, type, and layout of the support, structurally optimized and topologically different designs could be generated. The ASD method can be used to produce high-performance structure–support forms, as well as diverse and competitive designs. This work holds a potential in, e.g., engineering practice and transdisciplinary computational morphogenesis.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"201 ","pages":"Article 103830"},"PeriodicalIF":4.0,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Folded graphene reinforced metal matrix nanocomposites with comprehensively enhanced tensile mechanical properties","authors":"Pan Shi ,&nbsp;Yao Chen ,&nbsp;Tong Guo ,&nbsp;Yongming Tu ,&nbsp;Jian Feng","doi":"10.1016/j.advengsoft.2024.103829","DOIUrl":"10.1016/j.advengsoft.2024.103829","url":null,"abstract":"<div><div>It is urgent to develop advanced materials with high strength, high toughness and good ductility for modern engineering structures. Graphene reinforced metal matrix nanocomposites exhibit significantly enhanced strength and toughness, but their ductility remains relatively low due to the inherent tensile brittleness of graphene. Inspired by the origami concept, we utilize the surface hydrogenation method to develop an armchair-like folded graphene (AFG) structure as reinforcement for metal matrix composites. Molecular dynamics simulations show that the AFG structure can simultaneously enhance the tensile strength, stiffness, ductility, and toughness of copper (Cu) matrix composites. Compared with pristine graphene/Cu nanocomposites, AFG/Cu nanocomposites exhibit better ductility and toughness, while maintaining comparable strength and stiffness. Furthermore, the mechanical properties of AFG/Cu nanocomposites can be tuned by altering the degree of AFG folding and the distances between adjacent hydrogenated zones. The strengthening and toughening mechanism is that mechanically strong AFG can effectively block dislocation propagation across the metal-graphene interface before it unfolds to fracture. Such mechanism can be extended to other 2D nanomaterials reinforced metal matrix nanocomposites, opening up an avenue for developing high-performance nanocomposites.</div></div>","PeriodicalId":50866,"journal":{"name":"Advances in Engineering Software","volume":"200 ","pages":"Article 103829"},"PeriodicalIF":4.0,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}