Relevant bibliographies by topics / Multiphase material optimization

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Multiphase material optimization'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Multiphase material optimization"

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Cai, Kun, Jing Cao, Jiao Shi, and Qing H. Qin. "Layout Optimization of Ill-Loaded Multiphase Bi-Modulus Materials." International Journal of Applied Mechanics 08, no. 03 (April 2016): 1650038. http://dx.doi.org/10.1142/s1758825116500381.

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The optimal layouts of multiple bi-modulus materials in a continuum under ill-loaded cases are found using the scheme of fractional-norm ([Formula: see text]-norm and [Formula: see text] is in (0, 1)) weighting objective function. The major ideas of the present study are as follows. First, the bi-modulus material topology optimization is solved using material replacement approach. Second, the power-law scheme is adopted to express the equivalent stiffness of multiple materials. Third, the ill-loaded topology optimization is solved by changing the value of [Formula: see text]. Combining the three techniques, a feasible solution for the ill-loaded structural optimization can be found even when there are many bi-modulus materials. Numerical tests are presented to show the characters of the materials layout in the structure.
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Catania, Rick, Abdalla Diraz, Dominic Maier, Armani Tagle, and Pınar Acar. "Mathematical Strategies for Design Optimization of Multiphase Materials." Mathematical Problems in Engineering 2019 (March 12, 2019): 1–10. http://dx.doi.org/10.1155/2019/4024637.

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This work addresses various mathematical solution strategies adapted for design optimization of multiphase materials. The goal is to improve the structural performance by optimizing the distribution of multiple phases that constitute the material. Examples include the optimization of multiphase materials and composites with spatially varying fiber paths using a finite element analysis scheme. In the first application, the phase distribution of a two-phase material is optimized to improve the structural performance. A radial basis function (RBF) based machine learning algorithm is utilized to perform a computationally efficient design optimization and it is found to provide equivalent results with the physical model. The second application concentrates on the optimization of spatially varying fiber paths of a composite material. The fiber paths are described by the Non-Uniform Rational Bezier (B)-Spline Surface (NURBS) using a bidirectional control point representation including 25 parameters. The optimum fiber path is obtained for various loading configurations by optimizing the NURBS parameters that control the overall distribution of fibers. Next, a direct sensitivity analysis is conducted to choose the critical set of parameters from the design point to improve the computational time efficiency. The optimized fiber path obtained with the reduced number of NURBS parameters is found to provide similar structural properties compared to the optimized fiber path that is modeled with a full NURBS representation with 25 parameters.
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Qiu, Ke Peng, Wei Hong Zhang, and T. Gao. "Microstructure Design with Multiphase Materials under Mass Constraints." Materials Science Forum 697-698 (September 2011): 596–99. http://dx.doi.org/10.4028/www.scientific.net/msf.697-698.596.

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The microstructure design satisfying the mass constraint can reduce the structure weight more directly and effectively in comparison with the volume constraint. This paper is devoted to the topology optimization of microstructures with multiphase materials under the mass upper limitation constraint for maximizing the equivalent elastic tensors and their combinations. Firstly, the strain energy method is applied to compute the effective elastic properties of microstructures. In order to make sure that the formulation of mass constraint is linear with separable design variables, DMO (Discrete Material Optimization) model is adopted for the element density interpolation. Therefore, this optimization problem can be solved efficiently by means of mathematical programming approaches, especially the convex programming methods. Besides, the filtering technique is adopted to avoid the checkerboard pattern. There are two categories of numerical examples. In the first category, the modulus and the stiffness ratio of the solid material phase 1 are smaller than the solid material phase 2. In the second category, the modulus of the solid material phase 1 is still smaller than the solid material phase 2, but its stiffness ratio is bigger than the solid material phase 2.
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Zhu, Ji-Hong, and Wei-Hong Zhang. "Structural optimization in ESAC: annals 2011." International Journal for Simulation and Multidisciplinary Design Optimization 5 (2014): A09. http://dx.doi.org/10.1051/smdo/2013013.

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The purpose of this paper is to give an overall introduction of the structural optimization research works in ESAC group in 2011. Four main topics are involved, i.e. 1) topology optimization with multiphase materials, 2) integrated layout and topology optimization, 3) prediction of effective material properties and 4) composite design. More detailed techniques and some numerical results are also presented and discussed here.
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KATO, Junji, Ekkehard RAMM, Kenjiro TERADA, and Takashi KYOYA. "MULTIPHASE MATERIAL OPTIMIZATION FOR FIBER REINFORCED COMPOSITES CONSIDERING STRAIN SOFTENING." Journal of Japan Society of Civil Engineers, Ser. A2 (Applied Mechanics (AM)) 67, no. 1 (2011): 39–53. http://dx.doi.org/10.2208/jscejam.67.39.

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Kato, Junji, Andreas Lipka, and Ekkehard Ramm. "Multiphase material optimization for fiber reinforced composites with strain softening." Structural and Multidisciplinary Optimization 39, no. 1 (October 15, 2008): 63–81. http://dx.doi.org/10.1007/s00158-008-0315-7.

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Majdi, Behzad, and Arash Reza. "Multi-material topology optimization of compliant mechanisms via solid isotropic material with penalization approach and alternating active phase algorithm." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 13 (February 27, 2020): 2631–42. http://dx.doi.org/10.1177/0954406220908627.

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The present study aims at providing a topology optimization of multi-material compliant mechanisms using solid isotropic material with penalization (SIMP) approach. In this respect, three multi-material gripper, invertor, and cruncher compliant mechanisms are considered that consist of three solid phases, including polyamide, polyethylene terephthalate, and polypropylene. The alternating active-phase algorithm is employed to find the distribution of the materials in the mechanism. In this case, the multiphase topology optimization problem is divided into a series of binary phase topology optimization sub-problems to be solved partially in a sequential manner. Finally, the maximum displacement of the multi-material compliant mechanisms was validated against the results obtained from the finite element simulations by the ANSYS Workbench software, and a close agreement between the results was observed. The results reveal the capability of the SIMP method to accurately conduct the topology optimization of multi-material compliant mechanisms.
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Gao, Tong, and Wei-hong Zhang. "Topology optimization of multiphase material structures under design dependent pressure loads." International Journal for Simulation and Multidisciplinary Design Optimization 3, no. 1 (January 2009): 297–306. http://dx.doi.org/10.1051/ijsmdo/2009002.

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Gao, Tong, and Wei-hong Zhang. "Topology optimization of multiphase material structures under design dependent pressure loads." International Journal for Simulation and Multidisciplinary Design Optimization 3, no. 1 (January 2009): 297–306. http://dx.doi.org/10.1051/ijsmdo:2009002.

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Doan, Quoc Hoan, Dongkyu Lee, Jaehong Lee, and Joowon Kang. "Design of buckling constrained multiphase material structures using continuum topology optimization." Meccanica 54, no. 8 (June 2019): 1179–201. http://dx.doi.org/10.1007/s11012-019-01009-z.

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Dissertations / Theses on the topic "Multiphase material optimization"

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Kato, Junji, and Ekkehard Ramm. "Multiphase Layout Optimization for Fiber Reinforced Composites applying a Damage Formulation." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1244047693853-06457.

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The present study addresses an optimization strategy for maximizing the structural ductility of Fiber Reinforced Concrete (FRC) with long textile fibers. Due to material brittleness of both concrete and fiber in addition to complex interfacial behavior between above constituents the structural response of FRC is highly nonlinear. Consideration of this material nonlinearity including interface is mandatory to deal with this kind of composite. In the present contribution three kinds of optimization strategies based on a damage formulation are described. The performance of the proposed method is demonstrated by a series of numerical examples; it is verified that the ductility can be substantially improved.
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Book chapters on the topic "Multiphase material optimization"

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Bäumer, Annette, and Eva Zimmermann. "Optimization of Material Properties of High Strength Multiphase Steels via Microstructure and Phase Transformation Adjustment." In Characterization of Minerals, Metals, and Materials 2016, 209–16. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119263722.ch25.

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Bäumer, Annette, and Eva Zimmermann. "Optimization of Material Properties of High Strength Multiphase Steels via Microstructure and Phase Transformation Adjustment." In Characterization of Minerals, Metals, and Materials 2016, 209–16. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48210-1_25.

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Conference papers on the topic "Multiphase material optimization"

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Wu, Tong, Kai Liu, and Andres Tovar. "Multiphase Thermomechanical Topology Optimization of Functionally Graded Lattice Injection Molds." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60538.

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This work presents a design methodology of lightweight, thermally efficient injection molds with functionally graded lattice structure using multiphase thermomechanical topology optimization. The aim of this methodology is to increase or maintain thermal and mechanical performance as well as to lower the cost of thermomechanical components such as injection molds when these are fabricated using additive manufacturing technologies. The proposed design approach makes use of thermal and mechanical finite element analyses to evaluate the components stiffness and heat conduction in two length scales: mesoscale and macroscale. The mesoscale contains the structural features of the lattice unit cell. Mesoscale homogenized properties are implemented in the macroscale model, which contains the components boundary conditions including the external mechanical loads as well as the heat sources and heat sinks. The macroscale design problem addressed in this work is to find the optimal distribution of given number of lattice unit cell phases within the component so its mass is minimized, while satisfying stiffness and heat conduction constraints of the overall component and the specific regions. This problem is solved through two steps: conceptual design generation and multiphase material distribution. In the first step, the mass is minimized subject to constraints of mechanical compliance and thermal cost function. In the second step, a given number of lattice material are optimally distributed subjected to nonlinear thermal and mechanical constraints, e.g., maximum nodal temperature, maximum nodal displacement. The proposed design approach is demonstrated through 2D and 3D examples including the optimal design of the core of an injection mold. The results demonstrate that a small reduction in mechanical and thermal performance allows for significant mass savings: the second example shows that 3.5% heat conduction reduction and 8.7% stiffness reduction results in 30.3% mass reduction.
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Zhou, Shiwei, and Michael Yu Wang. "The Generalized Cahn-Hilliard Equations of Multiphase Transition for Structural Topology Optimization." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84751.

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This paper describes a generalized Cahn-Hilliard model for the topology optimization of multi-material structure. Unlike the traditional Cahn-Hilliard model applied to spinodal separation which only has bulk energy and interface energy, the generalized model couples the elastic energy into the total free energy. As a result, the morphology of the small phase domain during phase separation and grain coarsening process is not random islands and zigzag web-like objects but regular truss structure. Although disturbed by elastic energy, the Cahn-Hilliard system still keeps its two most important properties: energy dissipation and mass conservation. Therefore, it is unnecessary to compute the Lagrange multipliers for the volume constraints and make great effort to minimize the elastic energy for the optimization of structural topology. Furthermore, this model also makes the simple interpolation of stiffness tensors reasonable for multi-material structure in real simulation. To resolve these fourth-order nonlinear parabolic Cahn-Hilliard equations coupled with elastic energy, we developed a powerful mutigrid algorithm. Finally, we demonstrate that this new method is effective in optimizing the topology of multi-material structure through several 2-D examples.
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Khadke, Kunal R., Weigang An, and Andrés Tovar. "Ceramic Matrix Composite Materials by Design Using Robust Variable Fidelity Optimization." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13348.

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Ceramic matrix composites (CMC) have been widely studied to tailor desired properties at high temperatures. However, research applications involving design tool development for multi-phase material design are at an early stage of development. While numerical CMC modeling provides significant insight on the material performance, the computational cost of the numerical simulations and the type of variables involved in these models are a hindrance for the effective application of design methods. This technical challenge heightens with the need of considering the uncertainty of material processing and service. For this reason, few design researchers have addressed the design paradox that accompanies the rapid design space expansion in CMC material design. The objective of this research is to establish a tractable approach for CMC design considering uncertainty. Traditionally, surrogate models of statistical data are incorporated in the design strategy. An alternative to surrogate modeling is the use of lower fidelity models, which captures some of the physics of the problem and avoids the generation of uncertainty quantification. A variable fidelity optimization (VFO) management framework is incorporated in this research. In the proposed VFO method, a high-fidelity, cohesive, finely meshed finite-element model guides the coarsely meshed, low-fidelity model towards the optimal material design. Uncertainty in CMC material processing (multiphase nucleation and growth) is quantified using a stochastic material microstructural lattice model. The lattice model is verified with laboratory processed microstructures. Dimension reduction for reduction of the number of random variables under consideration. Linear data transformation and principal component analysis (PCA) is traditionally used in dimension reduction. However, nonlinear dimension reduction techniques are better handle complex nonlinear data. This work incorporates Maximum Variance Unfolding (MVU) that preserves global properties of the original data in the low-dimensional representation. The proposed methodology is applied to the optimal distribution of the matrix and the disperse phases in the composite structure. Results are demonstrated in the design of silicon carbide (SiC) fibers in a silicon-nitride (Si3N4) matrix for maximum fracture energy. The results provide a reference for SiC-Si3N4 nanocomposite.
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Meji´a Rodri´guez, Gilberto, John E. Renaud, and Vikas Tomar. "A Variable Fidelity Model Management Framework for Multiscale Computational Design of Continuous Fiber SiC-Si3N4 Ceramic Composites." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35913.

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Research applications involving design tool development for multiple phase material design are at an early stage of development. The computational requirements of advanced numerical tools for simulating material behavior such as the finite element method (FEM) and the molecular dynamics method (MD) can prohibit direct integration of these tools in a design optimization procedure where multiple iterations are required. The complexity of multiphase material behavior at multiple scales restricts the development of a comprehensive meta-model that can be used to replace the multiscale analysis. One, therefore, requires a design approach that can incorporate multiple simulations (multi-physics) of varying fidelity such as FEM and MD in an iterative model management framework that can significantly reduce design cycle times. In this research a material design tool based on a variable fidelity model management framework is presented. In the variable fidelity material design tool, complex “high fidelity” FEM analyses are performed only to guide the analytic “low-fidelity” model toward the optimal material design. The tool is applied to obtain the optimal distribution of a second phase, consisting of silicon carbide (SiC) fibers, in a silicon-nitride (Si3N4) matrix to obtain continuous fiber SiC-Si3N4 ceramic composites (CFCCs) with optimal fracture toughness. Using the variable fidelity material design tool in application to one test problem, a reduction in design cycle time around 80 percent is achieved as compared to using a conventional design optimization approach that exclusively calls the high fidelity FEM.
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Ku, Jieun, Vitali Volovoi, and Dewey Hodges. "Multilevel-Multiphase Optimization of Composite Rotor Blade with Surrogate Model." In 48th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-1900.

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Cristea, Eugen-Dan, and Pierangelo Conti. "CFD Modeling of Multi-Fuel Suspension Co-Combustion and Calcination Processes Within a DDF Precalciner of Cement Kiln." In ASME 2020 Fluids Engineering Division Summer Meeting collocated with the ASME 2020 Heat Transfer Summer Conference and the ASME 2020 18th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/fedsm2020-20111.

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Abstract The paper reports a CFD engineering application for modeling the thermal-fluid dynamics and thermochemical conversion processes, which govern the conventional air-fossil fuel firing or multi-fuel co-processing, responsible for thermal sustain of raw material calcination process, within a dry process cement kiln. We simulate a Dual-Combustion and Denitration Furnace (DDF) precalciner, which co-combusts in suspension the petroleum coke (primary fuel) with alternative fuels (e.g., the pre-dried sewage sludge and/or the animal meat and bonemeal). CFD software package ANSYS Fluent R18.2 is used to build CFD reactive model and to perform the numerical simulations. The Eulerian–Lagrangian approach is usually employed for modeling turbulent multiphase reacting flows. Few turbulence and radiation heat transfer models are compared, to identify pros and cons of each model applicability and to determine which model is most suitable. The Discrete Phase Model (DPM), in Lagrangian framework, is employed for tracking petcoke/alternative fuels and limestone particle clouds. CFD analysis provides valuable insights into the DDF precalciner performance e.g., combustion and calcination characteristics, in-furnace NOx control strategy by combustion aerodynamics optimization (particularly the effect of Tertiary Air tangential inlet, which creates swirl and induces several local flow recirculation zones). The major predicted results e.g., exit degree of calcination, fuel burnout, gas species concentration fields etc., are quite well captured and validated against control system continuously logged operation data and the measurements collected by newly installed instrumentation.
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Ilangovan, Karthik, Mazlan Dindi, Alexander Fuglesang, and Bastiaen Van Der Rest. "Qualification and Application of All Electric and Topside Less Subsea Multiphase Pump Technology in Subsea Factory Mission to Minimise the Life Cycle Cost." In International Petroleum Technology Conference. IPTC, 2021. http://dx.doi.org/10.2523/iptc-21803-ms.

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Abstract In recent years, various operating companies have been working on the processes of "Simplification, Standardization, Automation, Digitalization, and Optimization in several elements". To achieve this, there are tremendous subsea technology developments going on all over the world in many areas such as; design in terms of size and weight, improvement in reliability, advanced materials, flow assurance, digital tools, real time condition monitoring and control, installation and operation. The development of Subsea technology continues to be an important part of subsea field development projects to reduce the life cycle costs, increase recovery, provide solution to long tieback problems and challenges. PETRONAS ("the Company") is pursuing an Upstream Life Cycle Cost (CAPEX/OPEX) reduction approach under the Facilities of Future (FOF) program and mission called "Subsea Factory". The FOF target is to reduce Upstream life cycle cost by 40% starting from 2025 and Subsea Factory is one of the enablers to contribute to the reduction. There are four primary technologies focused on Subsea Factory: Subsea Separation, Subsea Multiphase Pump, Water Injection and Subsea Storage. The Subsea Multiphase Pump is one of the prioritized technologies for Subsea Factory to contribute to a 40% reduction. Subsea multiphase pump technology has great potential to reduce the CAPEX/OPEX and increase oil recovery, but due to the high equipment cost, huge topside space requirement, reliability and operating issues become very challenging and limit its application to operating companies. The Company collaborates with FASTsubsea AS on a Joint Industry Project to develop and qualify "the World first All Electric & Topside-less Subsea Multiphase Pump Technology". The uniqueness about this technology compared to commonly installed subsea pump is that it requires much less topside space as there is no need for variable speed drives or barrier fluid hydraulic power units. This paper describes the qualification and application of All-electric & Topside-less subsea multiphase pump technology in the Company - Subsea Factory mission, including: pain point with conventional subsea multiphase pumpthe Joint Industrial Project initiative with respect to technology development to pilot test to maturityimplementation of this technology and value creation in upcoming field development projectthe case study and potential of this technology for the Company future field development project
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Yoshimura, Masataka, and Atsushi Takeuchi. "Integrated Optimization in Computer-Aided Design and Manufacturing of Machine Products Based on Shape Descriptions of Contact Surfaces." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0138.

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Abstract This paper proposes a method for integrating CAD and CAM in which both maximization of the product performance and minimization of the product manufacturing cost are sought. In order to obtain effectively and efficiently the optimum decision variables for the integrated product design and process design, a method for describing machine-parts shapes is first developed with main consideration being given to the description of the contact surfaces. Then, a multiphase decision making method using those data is constructed in which the decision making process is divided into three phases. The shapes, materials, and manufacturing methods of machine parts are then determined in steps according to multi-phase processes. Finally, the proposed methods are applied to the design of an industrial robot for demonstrating the effectiveness of the methods.
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Staroselsky, Alexander, Igor I. Fedchenia, and Wenlong Li. "Acoustically Induced Mass Flow in Partially Saturated Porous Media: Applications to Fuel Cells." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79781.

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In this work we aim to develop a theoretical framework for evaluating the feasibility of attaining significant improvement of fuel cells performance and stability by enhancing the transport processes in porous partially-fluid-filled cathode compartments through applying acoustic and structural excitations. A generic unified model has been derived of the structural/acoustic wave propagation in the porous media with consideration of its coupling with mass transfer. It has been demonstrated that the phase saturation has a strong impact on the wave dynamics in porous media. Explicit expressions have been obtained for the generalized multiphase Biot-type coefficients. A generalized filtration equation has been derived that takes into account the effects on mass transfer of dynamic loading, varying saturation, and solid structure distortion in this complex system. For model calibration a series of tests has been conducted to measure water flows through porous media with and without acoustic excitations. It has been demonstrated that the excitations may result in a net change of the saturation inside the porous medium and the applied structural/acoustic loading can intensify the transportation process. Based on the numerical and experimental results, certain recommendations have been made in regards to the selection of materials and the optimization of performance regime.
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