Academic literature on the topic 'FGM Algorithm'

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Journal articles on the topic "FGM Algorithm"

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Janane Allah, M., Y. Belaasilia, A. Timesli, and A. El Haouzi. "TSDT theory for free vibration of functionally graded plates with various material properties." Mathematical Modeling and Computing 8, no. 4 (2021): 691–704. http://dx.doi.org/10.23939/mmc2021.04.691.

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In this work, an implicit algorithm is used for analyzing the free dynamic behavior of Functionally Graded Material (FGM) plates. The Third order Shear Deformation Theory (TSDT) is used to develop the proposed model. In this contribution, the formulation is written without any homogenization technique as the rule of mixture. The Hamilton principle is used to establish the resulting equations of motion. For spatial discretization based on Finite Element Method (FEM), a quadratic element with four and eight nodes is adopted using seven degrees of freedom per node. An implicit algorithm is used f
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Dreval', A. V., T. P. Shestakova, A. A. Manukyan, and O. G. Brezhneva. "The individualized statistical analysis of the continuous glucose monitoring data." Almanac of Clinical Medicine 48, no. 7 (2020): 459–68. http://dx.doi.org/10.18786/2072-0505-2020-48-068.

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Background: Continuous glucose monitoring (CGM) has shown its benefits in pregnant women with diabetes. Flash glucose monitoring (FGM), as one of the CGM types, has not been well assessed in this patient group. The interpretation of a big volume of information on glycaemia obtained with various CGM devices is possible with statistical analysis according to the algorithms proposed by manufacturers. While these algorithms cannot be comprehensive, evaluation of alternative approaches to the CGM data statistical analysis and comparison of the results obtained with different devices seem reasonable
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Franco Correia, Victor, José S. Moita, Filipa Moleiro, and Cristóvão M. Mota Soares. "Optimization of Metal–Ceramic Functionally Graded Plates Using the Simulated Annealing Algorithm." Applied Sciences 11, no. 2 (2021): 729. http://dx.doi.org/10.3390/app11020729.

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This work involves the design optimization of metal–ceramic through the thickness of functionally graded material (FGM) plates subjected to thermomechanical loadings. Constrained optimization was performed for minimum mass and minimum material cost of the FGM plates. The design process of FGM plate structures requires a good choice of metal and ceramic materials and the adequate definition of the components volume fractions through the thickness direction in order to accomplish a certain structural behavior, while optimizing the material costs and/or the plate mass. Here, the optimization prob
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Han, Ean-Gyu, Dong-Min Seo, Jun-Seo Lee, et al. "Asymmetry Elliptical Likelihood Potential Field for Real-Time Three-Dimensional Collision Avoidance in Industrial Robots." Electronics 14, no. 6 (2025): 1102. https://doi.org/10.3390/electronics14061102.

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Industrial robots play a crucial role in modern manufacturing, but ensuring safe human–robot collaboration remains a challenge. Traditional collision avoidance methods, such as physical barriers and emergency stops, are limited in efficiency and flexibility. This study proposes the Asymmetry Elliptical Likelihood Potential Field (AELPF) algorithm, a novel real-time collision avoidance system inspired by autonomous driving technologies. The AELPF method leverages LiDAR sensors to dynamically compute an asymmetric elliptical repulsive field, enabling precise obstacle detection and avoidance in 3
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Cherkez, R. G., О. М. Porubanyi, A. S. Zhukova, M. O. Dubinin, and N. V. Panasiuk. "Computer design of permeable functionally graded materials for thermoelements in electric energy generation mode." Journal of Thermoelectricity, no. 3 (September 25, 2023): 27–36. https://doi.org/10.63527/1607-8829-2023-3-27-36.

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Based on the Pontryagin maximum principle of optimal control theory, a methodology for designing optimal functionally graded materials (FGM) for permeable thermoelectric elements is presented. An algorithm and a computer program have been created, which have been tested for finding the optimal FGM for n- and p-type legs based on Bi-Te-Se-Sb. It has been shown that under optimal conditions, 1.3-1.7 fold efficiency increase is achieved when using permeable generator thermoelements with FGM compared to traditional thermoelements with homogeneous legs.
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Khalil, Sihame, Oussama Elmhaia, Abdellah Hamdaoui, et al. "Modeling of Functionally Graded Material Shells." E3S Web of Conferences 601 (2025): 00090. https://doi.org/10.1051/e3sconf/202560100090.

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In this research, we propose an algorithm to study the buckling of thin Functionally Graded Material (FGM) shells, utilizing a novel implementation of the asymptotic numerical method (ANM). Our approach integrates a three-step process: representation of variables and loading conditions through a truncated Taylor series, discretization using the finite element method (FEM), and advancement via a continuation method. This method is particularly effective for tracking the solution curve through systematic matrix inversion and tolerance adjustments. By applying this robust algorithm within the fra
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Yang, Juan, Zhi Jun Zhang, and Jian Lu Luo. "A Hierarchical Algorithm for Mobile Ad-Hoc Networks." Applied Mechanics and Materials 602-605 (August 2014): 3135–39. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.3135.

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For mobile ad hoc networks, hierarchical algorithm can reduce communication relay and enhance the QoS of MANETs. In this paper, A hierarchical algorithm-FGM algorithm is proposed. This algorithm based on dynamic node’s Multi-feature fusion and Gibbs Random Field—Maximum a Posterior. The simulation results verify the effectiveness of the algorithm.
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Pei, Lingling, and Jun Liu. "A Predictive Analysis of the Business Environment of Economies along the Belt and Road Using the Fractional-Order Grey Model." Journal of Mathematics 2021 (August 3, 2021): 1–13. http://dx.doi.org/10.1155/2021/3153731.

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This paper determined the optimal order of FGM (1, 1) model through particle swarm optimization algorithm and combined with the World Bank business environment data to predict and analyze the business environment of economies along the Belt and Road. The empirical results show that the FGM (1, 1) model has a good predicting effect on the business environment. In terms of prediction accuracy, the FGM (1, 1) model based on particle swarm optimization algorithm to determine the optimal order is significantly better than the traditional GM (1, 1) model. The predict results show that the business e
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Alshabatat, Nabeel, Adnan I. O. Zaid, and Safwan M. Al-Qawabah. "Design of Zirconia-Aluminum Functionally Graded Material for Buckling and Vibration Characteristics Enhancement of Beam/Column Structure." Key Engineering Materials 735 (May 2017): 100–107. http://dx.doi.org/10.4028/www.scientific.net/kem.735.100.

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This paper presents a design method to optimize the material distribution of zirconia/aluminum-functionally graded material with respect to some buckling and vibration properties. The distribution of volume fractions of the FGM constituents is defined through the beam or column length by a trigonometric law. The finite element method is used for the buckling and vibration analysis, and a genetic algorithm is utilized for optimization of the chosen objective function. The efficiency of the method is demonstrated by two design problems. In the first design problem, FGM is used to maximize the bu
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Li, Q., and X. Y. Xu. "Self-adaptive slicing algorithm for 3D printing of FGM components." Materials Research Innovations 19, sup5 (2015): S5–635—S5–641. http://dx.doi.org/10.1179/1432891714z.0000000001167.

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Dissertations / Theses on the topic "FGM Algorithm"

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Dunkelberg, Jr John S. "FEM Mesh Mapping to a SIMD Machine Using Genetic Algorithms." Digital WPI, 2001. https://digitalcommons.wpi.edu/etd-theses/1154.

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The Finite Element Method is a computationally expensive method used to perform engineering analyses. By performing such computations on a parallel machine using a SIMD paradigm, these analyses' run time can be drastically reduced. However, the mapping of the FEM mesh elements to the SIMD machine processing elements is an NP-complete problem. This thesis examines the use of Genetic Algorithms as a search technique to find quality solutions to the mapping problem. A hill climbing algorithm is compared to a traditional genetic algorithm, as well as a "messy" genetic algorithm. The results and co
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Banihashemi, Seyed Parsa. "Parallel explicit FEM algorithms using GPU's." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54391.

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The Explicit Finite Element Method is a powerful tool in nonlinear dynamic finite element analysis. Recent major developments in computational devices, in particular, General Purpose Graphical Processing Units (GPGPU's) now make it possible to increase the performance of the explicit FEM. This dissertation investigates existing explicit finite element method algorithms which are then redesigned for GPU's and implemented. The performance of these algorithms is assessed and a new asynchronous variational integrator spatial decomposition (AVISD) algorithm is developed which is flexible and enco
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Nie, Sixiang. "Solving the photon diffusion equation by FEM with Lanczos Algorithm." Thesis, University of Hawaii at Manoa, 2003. http://hdl.handle.net/10125/6985.

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In this thesis, finite element method (FEM) with Lanczos algorithm under uniform-grid and multi-grid meshes, denoted as FEML-U and FEML-M algorithms respectively, are introduced to solve the photon diffusion equation. In FEML-U and FEML-M algorithms, an n-dimensional state-space system is established by FEM, and the output of this system is approximated by that of an m-dimensional reduced system, which is generated by Lanczos algorithm. The implementations of FEML-U and FEML-M algorithms simulate the output at detectors of two given organ-size phantoms, and the corresponding simulators are val
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Bucher, Anke, Arnd Meyer, Uwe-Jens Görke, and Reiner Kreißig. "Entwicklung von adaptiven Algorithmen für nichtlineare FEM." Universitätsbibliothek Chemnitz, 2006. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200601424.

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The development of adaptive finite element procedures for the solution of geometrically and physically nonlinear problems in structural mechanics is very important for the augmentation of the efficiency of FE-codes. In this contribution methods of mesh refinement as well as mesh coarsening are presented for a material model considering finite elasto-plastic deformations. For newly generated elements stresses, strains and internal variables have to be calculated. This implies the determination of the nodal values as well as the Gaussian point values of the new elements based on the
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Mach, Thomas. "Eigenvalue Algorithms for Symmetric Hierarchical Matrices." Doctoral thesis, Universitätsbibliothek Chemnitz, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-85308.

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This thesis is on the numerical computation of eigenvalues of symmetric hierarchical matrices. The numerical algorithms used for this computation are derivations of the LR Cholesky algorithm, the preconditioned inverse iteration, and a bisection method based on LDLT factorizations. The investigation of QR decompositions for H-matrices leads to a new QR decomposition. It has some properties that are superior to the existing ones, which is shown by experiments using the HQR decompositions to build a QR (eigenvalue) algorithm for H-matrices does not progress to a more efficient algorithm than th
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Dunkelberg, John S. "FEM mesh mapping to a SIMD machine using genetic algorithms." Link to electronic version, 2001. http://www.wpi.edu/Pubs/ETD/Available/etd-0104101-102839/.

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Zhou, Dajun. "Development and testing of a new algorithm for FEM of sheet forming /." The Ohio State University, 1993. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487847309051811.

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Mach, Thomas. "Eigenvalue Algorithms for Symmetric Hierarchical Matrices." Doctoral thesis, Max Planck Institute for Dynamics of Complex Technical Systems, 2011. https://monarch.qucosa.de/id/qucosa%3A19684.

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This thesis is on the numerical computation of eigenvalues of symmetric hierarchical matrices. The numerical algorithms used for this computation are derivations of the LR Cholesky algorithm, the preconditioned inverse iteration, and a bisection method based on LDLT factorizations. The investigation of QR decompositions for H-matrices leads to a new QR decomposition. It has some properties that are superior to the existing ones, which is shown by experiments using the HQR decompositions to build a QR (eigenvalue) algorithm for H-matrices does not progress to a more efficient algorithm than th
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Chalmers, Stewart John. "A study of design methodologies for fault tolerant state machine controllers." Thesis, Robert Gordon University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313452.

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Eibner, Tino, and Jens Markus Melenk. "Fast algorithms for setting up the stiffness matrix in hp-FEM: a comparison." Universitätsbibliothek Chemnitz, 2006. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200601623.

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We analyze and compare different techniques to set up the stiffness matrix in the hp-version of the finite element method. The emphasis is on methods for second order elliptic problems posed on meshes including triangular and tetrahedral elements. The polynomial degree may be variable. We present a generalization of the Spectral Galerkin Algorithm of [7], where the shape functions are adapted to the quadrature formula, to the case of triangles/tetrahedra. Additionally, we study on-the-fly matrix-vector multiplications, where merely the matrix-vector multiplication is realized with
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Books on the topic "FGM Algorithm"

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Inverse synthetic aperture radar imaging: Principles, algorithms, and applications. Scitech Publishing, an imprint of the IET, 2014.

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Souza, Pedro H. G. Ferreira de, Solange L. Gonçalves, Alysson Portella, Rafael G. Osorio, and Sergio Firpo. Texto para Discussão 3029. Instituto de Pesquisa Econômica Aplicada (Ipea), 2024. http://dx.doi.org/10.38116/td3029-port.

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O objetivo deste artigo é investigar a dinâmica da pobreza no Brasil, pois a frequência e o padrão dos movimentos de entrada e saída da pobreza têm consequências tanto para nosso entendimento dos processos de estratificação e mobilidade social quanto para o desenho de políticas públicas. Nossa análise usa microdados da Pesquisa Nacional por Amostra de Domicílios Contínua (PNAD Contínua) para o período entre 2015 e 2020. Uma de nossas contribuições é o desenvolvimento e a implementação de um algoritmo (Pynad) de pareamento de indivíduos e famílias para a construção de painéis. Comparamos os res
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Book chapters on the topic "FGM Algorithm"

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Prabhu, P., and N. Anbazhagan. "FI-FCM Algorithm for Business Intelligence." In Mining Intelligence and Knowledge Exploration. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-03844-5_52.

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García, Sergio López, Luis Magdalena, and Juan R. Velasco. "Non-Euclidean Genetic FCM Clustering Algorithm." In Technologies for Constructing Intelligent Systems 1. Physica-Verlag HD, 2002. http://dx.doi.org/10.1007/978-3-7908-1797-3_24.

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Fu, Junwei, Shaoyu Chu, Zhenwei Han, Xiufang Zhao, and Xiaohong Zhai. "Improved Genetic Algorithm Based on Variable Weighting FCM Clustering Algorithm." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40630-0_85.

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Diekmann, Ralf, Derk Meyer, and Burkhard Monien. "Parallel decomposition of unstructured FEM-meshes." In Parallel Algorithms for Irregularly Structured Problems. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60321-2_17.

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Li, Kunlun, Zheng Cao, Liping Cao, and Ming Liu. "An Improved FCM Algorithm for Image Segmentation." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16248-0_75.

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Möller, Matthias, Dmitri Kuzmin, and Stefan Turek. "Implicit FEM-FCT algorithm for compressible flows." In Numerical Mathematics and Advanced Applications. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-642-18775-9_62.

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Eschbach, Robert. "A termination detection algorithm: specification and verification." In FM’99 — Formal Methods. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48118-4_41.

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Spasić, Mirko, and Filip Marić. "Formalization of Incremental Simplex Algorithm by Stepwise Refinement." In FM 2012: Formal Methods. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-32759-9_35.

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Paszyński, Maciej, Rafał Grzeszczuk, David Pardo, and Leszek Demkowicz. "Deep Learning Driven Self-adaptive Hp Finite Element Method." In Computational Science – ICCS 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77961-0_11.

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AbstractThe finite element method (FEM) is a popular tool for solving engineering problems governed by Partial Differential Equations (PDEs). The accuracy of the numerical solution depends on the quality of the computational mesh. We consider the self-adaptive hp-FEM, which generates optimal mesh refinements and delivers exponential convergence of the numerical error with respect to the mesh size. Thus, it enables solving difficult engineering problems with the highest possible numerical accuracy. We replace the computationally expensive kernel of the refinement algorithm with a deep neural ne
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Banda, Latha, and K. K. Bharadwaj. "E-FCM Algorithms for Collaborative Tagging System." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11933-5_11.

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Conference papers on the topic "FGM Algorithm"

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Akter, Mst Shapna, Hossain Shahriar, Alfredo Cuzzocrea, and Fan Wu. "Quantum Adversarial Attacks: Developing Quantum FGSM Algorithm." In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE, 2024. http://dx.doi.org/10.1109/compsac61105.2024.00145.

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Wei, Jinyu, and Jing Sun. "Adaptive Algorithm Design of FGR Low Nitrogen Combustion Based on Genetic Algorithm." In 2024 3rd International Conference on Artificial Intelligence and Autonomous Robot Systems (AIARS). IEEE, 2024. http://dx.doi.org/10.1109/aiars63200.2024.00069.

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Akram, Nawab, Suman Dahiya, Hemanand Chittapragada, V. M. Periyasamy, P. Vidhya, and Amit Chauhan. "The Influence of Mobile Commerce on Consumer Behavior: A FCM-RF-DNN Analysis." In 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS). IEEE, 2024. http://dx.doi.org/10.1109/iacis61494.2024.10721778.

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Leung, Yuen-Shan, Huachao Mao, and Yong Chen. "Approximate Functionally Graded Materials for Multi-Material Additive Manufacturing." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86391.

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Functionally graded materials (FGM) possess superior properties of multiple materials due to the continuous transitions of these materials. Recent progresses in multi-material additive manufacturing (AM) processes enable the creation of arbitrary material composition, which significantly enlarges the manufacturing capability of FGMs. At the same time, the fabrication capability also introduces new challenges for the design of FGMs. A critical issue is to create the continuous material distribution under the fabrication constraints of multi-material AM processes. Using voxels to approximate gra
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Duranti, Stefano, Dominic Jones, Yongzhe Zhang, and Graham Goldin. "Verification of an Adjoint Code for FGM Combustion." In ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2024. http://dx.doi.org/10.1115/gt2024-126700.

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Abstract The adjoint method efficiently computes the sensitivity of a global output objective function, such as a combustor outlet temperature uniformity or NOx emission, with respect to a large number of input design variables, such as the centroids of the wall boundary faces. This sensitivity gradient can be used in an optimization algorithm, in particular for shape or topology design to extremize the objective function. In this work, the adjoint model in Simcenter STAR-CCM+ is extended to the Flamelet Generated Manifold (FGM) combustion model. The discrete adjoint is solved by differentiati
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Liu, Hongye, Wonjoon Cho, Todd R. Jackson, Nicholas M. Patrikalakis, and Emanuel M. Sachs. "Algorithms for Design and Interrogation of Functionally Gradient Material Objects." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dac-14278.

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Abstract Solid Freeform Fabrication (SFF) processes have demonstrated the ability to produce parts with locally controlled composition. In the limit, processes such as Three-Dimensional Printing(3DP) can create parts with composition to the length scale of 100 μm. To exploit this potential, new methods for automatic design of Functionally Gradient Material (FGM) parts need to be developed. This paper presents an efficient method for design and composition interrogation of FGM solids. The design tool based on the distance function from the surface of the part requires enhanced efficiency, and s
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Yeilaghi-Tamijani, A., R. Mirzaeifar, A. R. Ohadi, and M. R. Eslami. "Vibration Control of FGM Plate With Piezoelectric Sensors and Actuators Using Higher Order Shear Deformation Theory." In ASME 8th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2006. http://dx.doi.org/10.1115/esda2006-95710.

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In this paper, finite element formulation for the active control of functionally graded material (FGM) plates containing piezoelectric sensor/actuator patches by using higher order shear deformation theory is carried out. The major difference to previous studies is the new feedback control algorithm for active control of FGM plate which is presented in this paper. The effects of the configuration of the S/A pairs and the velocity and displacement feedback control gains on the static and dynamic response of the structure are studied. Numerical results are presented for the static deflection, na
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Chidlow, Stewart, and Mircea Teodorescu. "A Semi-Analytical Solution Method for the Adhesive Contact Between a Rigid Punch and Multi-Layered Functionally Graded Material." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87683.

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The current paper proposes a semi-analytical solution method which predicts both the sub-surface stress fields and pressures that result from adhesive contact between a multi-layered functionally graded material (FGM) and a rigid punch. The FGM is deemed to consist of a homogeneously elastic coating and substrate joined together by a transition layer whose shear modulus depends on the depth coordinate in some predetermined way. It is further assumed that the FGM is in a state of plane strain so that we may perform a two-dimensional analysis. We present analytical solutions for the horizontal a
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Singha, Tripuresh Deb, Apurba Das, Gopal Agarwal, Tanmoy Bandyopadhyay, and Amit Karmakar. "Free Vibration Characteristics of Sandwich Conical Shells With FGM Face Sheets: A Finite Element Approach." In ASME 2019 Gas Turbine India Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/gtindia2019-2545.

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Abstract This paper presents an analytical investigation on the free vibration characteristics of symmetric sandwich conical shell with functionally graded material (FGM) face sheets using finite element method. Sandwich-type structures offer higher stiffness to weight ratio with excellent thermal barrier in high temperature application extending the operational life of the component. The sandwich-type conical structure used in the advanced supersonic and hypersonic space vehicles. The material properties of FGM face sheets are considered to be varied in thickness direction as per simple power
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Zisis, Iason, Bas van der Linden, and Christina Giannopapa. "Towards a Smoothed Particle Hydrodynamics Algorithm for Shocks Through Layered Materials." In ASME 2013 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/pvp2013-97345.

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Hypervelocity impacts (HVIs) are collisions at velocities greater than the target object’s speed of sound. Such impacts produce pressure waves that generate sharp and sudden changes in the density of the materials. These are propagated as shock waves. Previous computational research has given insight into this shock loading for the case of homogeneous materials. Shock-wave propagation through materials with discontinuous density distribution has not been considered in depth yet. Smoothed Particle Hydrodynamics (SPH) is a numerical technique, which has been extensively used for the simulation o
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Reports on the topic "FGM Algorithm"

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Nagahi, Morteza, Raed Jaradat, Mohammad Nagahisarchoghaei, Ghodsieh Ghanbari, Sujan Poudyal, and Simon Goerger. Effect of individual differences in predicting engineering students' performance : a case of education for sustainable development. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40700.

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The academic performance of engineering students continues to receive attention in the literature. Despite that, there is a lack of studies in the literature investigating the simultaneous relationship between students' systems thinking (ST) skills, Five-Factor Model (FFM) personality traits, proactive personality scale, academic, demographic, family background factors, and their potential impact on academic performance. Three established instruments, namely, ST skills instrument with seven dimensions, FFM traits with five dimensions, and proactive personality with one dimension, along with a
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