Article
Computer Science, Interdisciplinary Applications
P. Kumar, C. Schmidleithner, N. B. Larsen, O. Sigmund
Summary: This study presents a synthesis approach in density-based topology optimization to design compliant mechanisms inducing desired strains in biological tissues. By utilizing a strain-energy-based interpolation scheme and mechanical equilibrium, the objective is formulated and minimized to design and manufacture optimized tissue constructs.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Multidisciplinary
Baotong Li, Senmao Ding, Shuzhe Guo, Wenjie Su, Akang Cheng, Jun Hong
Summary: This article focuses on a design problem of planar compliant mechanisms using isogeometric topology optimization, developing an integrated model to identify optimal deformation transferring paths for precise motion output. The proposed method outperforms conventional topology optimization methods in terms of computational effectiveness and numerical robustness, demonstrating higher ability to search optimal topology with complex kinematic behavior. Design formulation of compliant mechanisms is constructed under the framework of the proposed method, optimizing Jacobian and stiffness matrices simultaneously to achieve kinematic and stiffness requirements.
APPLIED MATHEMATICAL MODELLING
(2021)
Article
Computer Science, Interdisciplinary Applications
Chaitanya Dev, Gabriel Stankiewicz, Paul Steinmann
Summary: We propose a sequential topology and shape optimization framework for designing compliant mechanisms with boundary stress constraints. Our approach utilizes a density-based topology optimization method to generate the configuration of the mechanisms and a node-based shape optimization method for obtaining an exact boundary representation. Stress constraints are imposed to avoid impractical hinges with point connections, either locally on the nodes of the boundary or globally using P-norm stress constraints in the domain. Moreover, our method incorporates an adaptive shape refinement strategy to increase the design space and capture fine-scale geometry details. Numerical experiments demonstrate the effectiveness of our approach in designing compliant mechanisms with stress constraints.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Automation & Control Systems
Chih-Hsing Liu, Fu-Ming Chung, Yuan-Ping Ho
Summary: This article introduces a new compliant constant-force mechanism and proposes a new composite objective function for optimizing its design. Experimental results show that the developed constant-force compliant finger can provide a nearly constant output force over a range of input displacements, leading to the design of a three-fingered constant-force compliant gripper for robotic grasping of fragile objects.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Engineering, Multidisciplinary
Gabriel Stankiewicz, Chaitanya Dev, Paul Steinmann
Summary: In this work, a sequential topology and shape optimization framework is used to design compliant mechanisms, focusing on the refined design of flexure hinges through shape optimization in a geometrically nonlinear setting. Enhanced adaptive shape and domain refinement strategies are proposed, along with local stress constraints and a curvature constraint for durability and manufacturability. The novelties of this work include improved adaptive strategies, geometrically nonlinear optimization, and an adapted traction method with curvature constraint.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Chemistry, Multidisciplinary
Wenjie Ge, Xin Kou
Summary: This study presents a design method for multi-material compliant mechanisms, utilizing material distribution with different elastic moduli to meet rigid and flexible requirements. The Solid Isotropic Material with Penalization (SIMP) model is used for parameterization, and the topology optimization design model is established with a solution for oversaturation in volume constraints. The proposed method demonstrates effectiveness through widely studied numerical examples.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Mechanical
Johannes Achleitner, Erich Wehrle
Summary: This paper fills the gap in the literature regarding selection of optimal materials for compliant mechanism design by using density-based, geometrically robust, stress constrained topology optimization methods. Large-scale optimization studies are conducted to identify the best suited material characteristics, while exploring the influence of critical optimization parameters on material choice. Guidelines for efficient selection of materials for compliant mechanism designers are developed based on the research findings.
MECHANISM AND MACHINE THEORY
(2022)
Article
Computer Science, Interdisciplinary Applications
Yifu Lu, Liyong Tong
Summary: The extended algorithm presented in this article utilizes the MIST method for topology optimization of compliant mechanisms and structures, modeling the fluid-structure interface using equivalent virtual strain energy and work, and directly applying design-dependent pressure loadings on the interface boundary. The algorithm is validated through multiple numerical examples, demonstrating its effectiveness in optimizing compliant mechanisms and structures.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Mechanical
Qi Chen, Qi Wen, Xianmin Zhang, Yong Yang, Suhua Xiao
Summary: This study analyzes the causes of buckling-induced instability and proposes methods to avoid this instability. By proposing a mechanism with three torsional springs and using topology optimization models with buckling constraints, stable compliant constant-force mechanisms can be designed.
MECHANISM AND MACHINE THEORY
(2024)
Article
Engineering, Multidisciplinary
Gunnar Granlund, Mathias Wallin, Olov Gunther-Hanssen, Daniel Tortorelli, Seth Watts
Summary: This work focuses on multi-material topology optimization of compliant mechanisms under transient thermal and quasi-static mechanical conditions. The goal is to optimize thermally actuated devices for different operating conditions. Finite strain thermo-hyperelasticity is used to model the materials, and a two-way coupling between the energy balance and equilibrium equations is investigated. Design updates are generated using the gradient-based method of moving asymptotes optimizer, and sensitivities are computed using the time dependent adjoint sensitivity analysis. Results demonstrate the impact of designing for short versus long actuation times.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Shuhao Xia, Nianfeng Wang, Bicheng Chen, Xianmin Zhang, Wei Chen
Summary: This paper proposes a novel topology optimization method that integrates the layout of supports, links and material distribution for designing partially compliant mechanisms. The method introduces new design variables to represent the states of supports and links, and incorporates a nonlinear spring model for unified modeling. Sensitivity analysis is conducted using the adjoint equation method to verify the versatility and flexibility of the proposed method. The accuracy of the nonlinear spring model is demonstrated through numerical examples.
COMPUTERS & STRUCTURES
(2024)
Article
Engineering, Multidisciplinary
Helio Emmendoerfer Jr, Kurt Maute, Eduardo Alberto Fancello, Emilio Carlos Nelli Silva
Summary: This work presents a level set-based approach for designing multi-material compliant mechanisms subject to local stress constraints. The approach utilizes the Multi-Material Level Set (MM-LS) model for topology description and incorporates stress constraints and volume constraints into the objective function through an augmented Lagrangian technique. The proposed approach is applicable to any number of materials and has been demonstrated to be effective through numerical results.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2022)
Article
Engineering, Mechanical
Stephanie Kirmse, Lucio Flavio Campanile, Alexander Hasse
Summary: By utilizing compliant mechanisms, controlled deformations can be achieved, but mechanisms with distributed compliance may deviate from desired behavior. Selective compliant mechanisms are advanced structures that can approximate ideal behavior. A new synthesis approach, which incrementally linearizes the optimization problem, is presented for the stable synthesis of mechanisms with multiple output degrees of freedom.
MECHANISM AND MACHINE THEORY
(2021)
Article
Computer Science, Interdisciplinary Applications
Senmao Ding, Baotong Li, Guimin Chen, Zhi Zhao, Jun Hong
Summary: This paper presents a unique solution to the problem of planar compliant mechanism design by utilizing geometric morphing technology and isogeometric analysis. By developing a new transformable triangular mesh (TTM) component based on geometric morphing technology and combining it with IGA, a two-layer computational model is established to identify the optimal compliant mechanism topology under given conditions.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Multidisciplinary
Kaixian Liang, Dachang Zhu, Fangyi Li
Summary: This paper proposes a macro-microscale topology optimization approach for constructing compliant mechanisms with deterministic mechanical characteristics. The approach utilizes the flexibility matrix factor as the constraint function in macro-scale optimization and employs the Augmented Lagrangian method to transform the constrained optimization problem into an unconstrained model. The method successfully designs compliant mechanisms with arbitrary mechanical properties and can be extended to other fields of compliant mechanisms using macro-microscale topology optimization.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
(2023)
Article
Construction & Building Technology
R. Borinaga-Trevino, A. Orbe, J. Norambuena-Contreras, J. Canales
CONSTRUCTION AND BUILDING MATERIALS
(2018)
Article
Computer Science, Interdisciplinary Applications
Ruben Ansola Loyola, Osvaldo M. Querin, Alain Garaigordobil Jimenez, Cristina Alonso Gordoa
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2018)
Article
Computer Science, Interdisciplinary Applications
Alain Garaigordobil, Ruben Ansola, Javier Santamaria, Igor Fernandez de Bustos
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2018)
Article
Computer Science, Software Engineering
Alain Garaigordobil, Ruben Ansola, Estrella Vegueria, Igor Fernandez
COMPUTER-AIDED DESIGN
(2019)
Article
Materials Science, Multidisciplinary
D. Martinez Krahmer, S. Hameed, A. J. Sanchez Egea, D. Perez, J. Canales, L. N. Lopez de Lacalle
Article
Engineering, Mechanical
I Fernandez de Bustos, G. Urkullu, V Garcia Marina, R. Ansola
MECHANISM AND MACHINE THEORY
(2019)
Article
Construction & Building Technology
R. Borinaga-Trevino, A. Orbe, J. Canales, J. Norambuena-Contreras
CONSTRUCTION AND BUILDING MATERIALS
(2020)
Article
Mechanics
V. Garcia-Marina, I. Fernandez de Bustos, G. Urkullu, R. Ansola
Article
Chemistry, Physical
Jone Retolaza, Ruben Ansola, Jose Luis Gomez, Gorka Diez
Summary: This paper introduces a methodology to study the anisotropic elastic constants of technical phenylene polysulfide thermoplastic printed using fused deposition modeling (FDM) with the aim of providing designers with guidance on achieving the desired mechanical properties in printed parts. The study found that PPS offers superior mechanical and thermal resistance, low moisture absorption, high dimensional stability, resistance to chemical attacks, and good fireproof performance. Experimental testing and analysis were conducted to determine an approximated transversally isotropic matrix of the material, with validation through flexural testing and finite element simulation.
Article
Computer Science, Interdisciplinary Applications
Alain Garaigordobil, Ruben Ansola, Igor Fernandez de Bustos
Summary: This article discusses the Dripping Effect in topology optimization for Additive Manufacturing and proposes an effective prevention strategy. Despite differing opinions on how to prevent it, the method introduced in this paper successfully avoids the phenomenon.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2021)
Article
Engineering, Multidisciplinary
Alain Garaigordobil, Ruben Ansola, Osvaldo M. Querin, Ander Olabarrieta
Summary: This article presents an infill topology optimization procedure for generating lightweight porous structures. The method utilizes discrete variables and extends previous work on topology optimization for infill structures by introducing local volume constraints and quadrangular subdomains with variable aspect ratios.
ENGINEERING OPTIMIZATION
(2023)
Article
Engineering, Manufacturing
Jone Retolaza, Koldo Gondra, Ruben Ansola, Alexandra Allue
Summary: Fused Material Deposition (FDM) is an additive manufacturing process that deposits fused material layer by layer, and has been used for prototype and functional parts. This research aims to study printing strategies and select optimal parameters to create a design guide for Polyphenylene Sulfide (PPS). The study shows that printing parameters significantly affect the properties and printing time of PPS parts.
MATERIALS AND MANUFACTURING PROCESSES
(2022)
Article
Computer Science, Interdisciplinary Applications
Alain Garaigordobil, Ruben Ansola, Javier Canales, Roque Borinaga
Summary: This paper investigates the topology optimization of structures subjected to self-weight loads with self-supporting constraints for additive manufacturing. The proposed method combines an effective numerical procedure for contour evaluation with a modified version of the power-law model for low densities to eliminate problems associated with self-weight loads. The proposed technique for overhang edge detection and a variable mask size technique contribute to the effectiveness and robustness of the method.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Multidisciplinary
Gorka Urkullu, Igor Fernandez-de-Bustos, Ander Olabarrieta, Ruben Ansola
Summary: The direct integration method by central differences (DIMCD) is an explicit method of order two for dynamic analysis of multibody systems. The paper showed that it not only provides optimal results, but is also computationally efficient, at least for systems with up to six bodies. The methodology is suitable for modeling in sparse matrices, although the implementation presented is based on dense matrices.
Article
Mathematics, Applied
Guo Zheng, Zengqiang Cao, Yuehaoxuan Wang, Reza Talemi
Summary: This study introduces two novel methods for predicting the fatigue response of Dynamic Cold Expansion (DCE) and Static Cold Expansion (SCE) open-hole plates. The accuracy of the prediction is enhanced by considering stress distributions and improving existing methods. The study also discusses the mechanisms behind fatigue life enhancement and fatigue crack propagation modes in cold expansion specimens.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Eric Heppner, Tomohiro Sasaki, Frank Trommer, Elmar Woschke
Summary: This paper presents a modeling approach for estimating the bonding strength of friction-welded lightweight structures. Through experiments and simulations, a method for evaluating the bonding strength of friction-welded lightweight structures is developed, and the plausibility and applicability of the model are discussed.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Piermario Vitullo, Alessio Colombo, Nicola Rares Franco, Andrea Manzoni, Paolo Zunino
Summary: Many applications in computational physics involve approximating problems with microstructure, characterized by multiple spatial scales in their data. However, these numerical solutions are often computationally expensive due to the need to capture fine details at small scales. Traditional projection based reduced order models (ROMs) fail to resolve these issues, even for second-order elliptic PDEs commonly found in engineering applications. To address this, we propose an alternative nonintrusive strategy to build a ROM, that combines classical proper orthogonal decomposition (POD) with a suitable neural network (NN) model to account for the small scales.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Chanh Dinh Vuong, Xiaofei Hu, Tinh Quoc Bui
Summary: In this paper, we present a dynamic description of the smoothing gradient-enhanced damage model for the simulation of quasi-brittle failure localization under time-dependent loading conditions. We introduce two efficient rate-dependent damage laws and various equivalent strain formulations to analyze the complicated stress states and inertia effects of the dynamic regime, enhancing the capability of the adopted approach in modeling dynamic fracture and branching.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Alexandre D. C. Amaro, A. Francisca Carvalho Alves, F. M. Andrade Pires
Summary: This study focuses on analyzing various deformation mechanisms that affect the behavior of PC/ABS blends using computational homogenization. By establishing a representative microstructural volume element, defining the constitutive description of the material phases, and modeling the interfaces and matrix damage, accurate predictions can be achieved. The findings have important implications for broader applications beyond PC/ABS blends.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
David Hoffmeyer, A. R. Damanpack
Summary: This paper introduces a method for determining all six stress components for a cantilever-type beam that is subjected to concentrated end loads. The method considers an inhomogeneous cross-section and employs cylindrically orthotropic material properties. The efficacy of the method is validated by numerical examples and a benchmark example, and the analysis on a real sawn timber cross-section reveals significant disparities in the maximum stresses compared to conventional engineering approaches.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Vladimir Stojanovic, Jian Deng, Dunja Milic, Marko D. Petkovic
Summary: The present paper investigates the dynamic analysis of a coupled Timoshenko beam-beam or beam-arch mechanical system with geometric nonlinearities. A modified p-version finite element method is developed for the vibrations of a shear deformable coupled beam system with a discontinuity in an elastic layer. The main contribution of this work is the discovery of coupled effects and phenomena in the simultaneous vibration analysis of varying discontinuity and varying curvature of the newly modelled coupled mechanical system. The analysis results are valuable and have broader applications in the field of solids and structures.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Gihwan Kim, Phill-Seung Lee
Summary: The phantom-node method is applied in the phase field model for mesh coarsening to improve computational efficiency. By recovering the fine mesh in the crack path domain into a coarse mesh, this method significantly reduces the number of degrees of freedom involved in the computation.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Souhail Chaouch, Julien Yvonnet
Summary: In this study, an unsupervised machine learning-based clustering approach is developed to reduce the computational cost of nonlinear multiscale methods. The approach clusters macro Gauss points based on their mechanical states, reducing the problem from macro scale to micro scale. A single micro nonlinear Representative Volume Element (RVE) calculation is performed for each cluster, using a linear approximation of the macro stress. Anelastic macro strains are used to handle internal variables. The technique is applied to nonlinear hyperelastic, viscoelastic and elastoplastic composites.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Hoang-Giang Bui, Jelena Ninic, Christian Koch, Klaus Hackl, Guenther Meschke
Summary: With the increasing demand for underground transport infrastructures, it is crucial to develop methods and tools that efficiently explore design options and minimize risks to the environment. This study proposes a BIM-based approach that connects user-friendly software with effective simulation tools to analyze complex tunnel structures. The results show that modeling efforts and computational time can be significantly reduced while maintaining high accuracy.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Aslan Nasirov, Xiaoyu Zhang, David Wagner, Saikumar R. Yeratapally, Caglar Oskay
Summary: This manuscript presents an efficient model construction strategy for the eigenstrain homogenization method (EHM) for the reduced order models of the nonlinear response of heterogeneous microstructures. The strategy relies on a parallel, element-by-element, conjugate gradient solver, achieving near linear scaling with respect to the number of degrees of freedom used to resolve the microstructure. The linear scaling in the number of pre-analyses required to construct the reduced order model (ROM) follows from the EHM formulation. The developed framework has been verified using an additively manufactured polycrystalline microstructure of Inconel 625.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Atticus Beachy, Harok Bae, Jose A. Camberos, Ramana V. Grandhi
Summary: Emulator embedded neural networks leverage multi-fidelity data sources for efficient design exploration of aerospace engineering systems. However, training the ensemble models can be costly and pose computational challenges. This work presents a new type of emulator embedded neural network using the rapid neural network paradigm, which trains near-instantaneously without loss of prediction accuracy.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Arash Hajisharifi, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza
Summary: This paper introduces three reduced order models for reducing computational time in atmospheric flow simulation while preserving accuracy. Among them, the PODI method, which uses interpolation with radial basis functions, maintains accuracy at any time interval.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
D. Munoz, S. Torregrosa, O. Allix, F. Chinesta
Summary: The Proper Generalized Decomposition (PGD) is a Model Order Reduction framework used for parametric analysis of physical problems. It allows for offline computation and real-time simulation in various situations. However, its efficiency may decrease when the domain itself is considered as a parameter. Optimal transport techniques have shown exceptional performance in interpolating fields over geometric domains with varying shapes. Therefore, combining these two techniques is a natural choice. PGD handles the parametric solution while the optimal transport-based methodology transports the solution for a family of domains defined by geometric parameters.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
Article
Mathematics, Applied
Jothi Mani Thondiraj, Akhshaya Paranikumar, Devesh Tiwari, Daniel Paquet, Pritam Chakraborty
Summary: This study develops a diffused interface CPFEM framework, which reduces computational cost by using biased mesh and provides accurate results using non-conformal elements in the mesh size transiting regions. The accuracy of the framework is confirmed through comparisons with sharp and stepped interface results.
FINITE ELEMENTS IN ANALYSIS AND DESIGN
(2024)
