Relevant bibliographies by topics / Mechanical Properties Optimization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mechanical Properties Optimization'

Author: Grafiati
Published: 7 June 2025
Last updated: 26 June 2025

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Journal articles on the topic "Mechanical Properties Optimization"

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Dzhonov, Ts, I. Angelov, and S. Stoyanov. "Optimization of mechanical properties for steel 23G2SAF." Strength of Materials 19, no. 5 (1987): 657–61. http://dx.doi.org/10.1007/bf01524300.

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Mo, Yu Zhen, and Jia Chu Xu. "Studies on Mechanical Properties and Optimization Model of PI/SiO2 Nanocomposite Based on Materials Studio." Advanced Materials Research 1049-1050 (October 2014): 54–57. http://dx.doi.org/10.4028/www.scientific.net/amr.1049-1050.54.

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The unit cell models of PI/SiO2 nanocomposite was built by Materials Studio. The stiffness matrix and mechanical properties parameters such as Young modulus, shear modulus, bulk modulus and Poisson ratio of the unit cells were achieved after molecular dynamic (MD) optimizations and calculations. The influence factors on the mechanical properties of nanocomposite were analyzed. Finally, the optimization model was achieved.
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Venu, Borigorla, L. Suvarna Raju, and K. Venkata Rao. "Multiobjective optimization of friction stir weldments of AA2014-T651 by teaching–learning-based optimization." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 6 (2019): 1146–55. http://dx.doi.org/10.1177/0954406219891755.

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This study focuses on optimization of process parameters, which may result in improved mechanical properties of the friction stir weldments of AA2014-T651. Plain taper and threaded taper cylindrical tool pin profiles were used for the study. A set of experiments was conducted at different levels of tool rotational and weld speeds using two tool pin profiles. Mechanical properties such as tensile strength, yield strength, impact strength, percentage of elongation, and hardness were measured. Objective functions are developed for the five mechanical properties in terms of input parameters. The input parameters were optimized using teaching–learning-based optimization algorithm technique to improve mechanical properties. The teaching–learning-based optimization algorithm suggested three best combinations such as combination-I (940 r/min and 32 mm/min), combination-II (1100 r/min and 40 mm/min), and combination-III (1205 r/min and 45 mm/min). The optimization is also validated with experimental results.
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Kuś, Wacław, Mohammed Javeed Akhter, and Tadeusz Burczyński. "Optimization of Monolayer MoS2 with Prescribed Mechanical Properties." Materials 15, no. 8 (2022): 2812. http://dx.doi.org/10.3390/ma15082812.

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Various technological challenges are essentially material problems in our times. New functional and functional graded nanomaterials are constructed of components with predefined properties. The design of nanostructures with predefined mechanical properties was considered in this paper. This study applies the evolutionary algorithm (EA) to the optimization problem in the design of nanomaterials. The optimal design combined EA with molecular dynamics to identify the size of the void for the prescribed elastic properties in monolayer 2D MoS2 nanostructures. The numerical results show that the proposed EA and the use of optimization method allowed accurately obtaining nanostructures with predefined mechanical material properties by introducing elliptical voids in the 2D MoS2 nanosheets.
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Jawahar, P., V. Payak, J. Chandradass, and P. Prabhu. "Optimization of mechanical properties of CNT-rubber nanocomposites." Materials Today: Proceedings 45 (2021): 7183–89. http://dx.doi.org/10.1016/j.matpr.2021.02.413.

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Yu, Lei, and Zhaolei Liu. "Mechanical Properties Optimization of Fiber Reinforced Foam Concrete." MATEC Web of Conferences 67 (2016): 03022. http://dx.doi.org/10.1051/matecconf/20166703022.

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Zhang, Hengliang, Danmei Xie, Chu Nie, and Zongjie Zhang. "Optimization of Quench History for Superior Mechanical Properties." Procedia Engineering 16 (2011): 506–10. http://dx.doi.org/10.1016/j.proeng.2011.08.1117.

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Anil Singh, Dr. Rupinder Singh Johal, and Sulekha. "Optimization of Mechanical Properties of Aluminium Hybrid Metal Matrix Composite and Its Major Applications." International Journal of Scientific Research in Science, Engineering and Technology 11, no. 3 (2024): 444–50. https://doi.org/10.32628/ijsrset241474.

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This article describes how to optimize the mechanical properties of aluminium hybrid metal matrix composite (Al-HMMC) in order to reduce weight and cost while increasing the material's strength, stiffness, toughness, and durability. “Some optimization techniques and applications are presented in this article; Matrix alloy optimization, processing parameter optimization, and surface treatment optimization are examples of hybrid reinforcement optimization that display different elements that influence the optimizations and their methods. The influence of different factors and the need for large experimental data sets are also covered in this article, with reference to earlier research. The major applications of Al-HMMC, including the automotive, sports, marine, and aerospace industries, as well as industrial automation for components and its future directions, are also covered in this article. This essay came to the conclusion that the most crucial aspect of engineering for resolving complicated problems is feature modeling, estimate, and optimization. When designing and optimizing the process variables to be employed throughout the manufacturing phase, significant benefits of the calculating methodologies are identified. Optimal parameter selection, system placement, result analysis, production digitization, power consumption reduction, and real-world issue resolution are all made possible by these techniques.” Therefore, additional study is required in the future to optimize the structure and composition of hybrid reinforcement in order to attain better mechanical characteristics.
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Lawal, S. L., and S. A. Afolalu. "Effect of Welding Process Parameters on the Mechanical Properties of TIG and MIG Welds in HSS X65 Pipe-A Review." IOP Conference Series: Earth and Environmental Science 1322, no. 1 (2024): 012009. http://dx.doi.org/10.1088/1755-1315/1322/1/012009.

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Abstract The study focused on the importance of the different welding parameters on the mechanical behavior of High Strength Steel (HSS) X65 steel pipes by reviewing the advantages of parameter optimization for the Tungsten Inert Gas (TIG) - Metal Inert Gas (MIG) welding processes. The parameters considered in the study include welding speed, welding current, welding voltage and gas flowrate of the welding. The effects of improper selection and parameter optimizations were highlighted and illustrated using different metallurgical and mechanical instances. The outcome of the study indicates that adequate parameter optimization aids in obtaining good weld quality with adequate mechanical and microstructural properties. Furthermore, it helps in the determination of variation in hardness in the heat affected zone as well as the base metal. Thus, this study provides insight to welding engineers on the importance of parameter optimization in the welding of steel pipe.
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Kumar, Ravinder, and Dr Dinesh Kumar. "Optimization of Process Parameters on Tig Welding to Enhance Mechanical Properties of AA-6351 T6 Alloy." International Journal of Trend in Scientific Research and Development Volume-3, Issue-4 (2019): 505–9. http://dx.doi.org/10.31142/ijtsrd23831.

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Dissertations / Theses on the topic "Mechanical Properties Optimization"

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Olliges, Sven. "Mechanical properties & microstructure optimization of gold nanowires /." Zürich : ETH, 2007. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=17555.

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Pontefisso, Alessandro. "MODELLING AND OPTIMIZATION OF THE MECHANICAL PROPERTIES OF POLYMER NANOCOMPOSITES." Doctoral thesis, Università degli studi di Padova, 2015. http://hdl.handle.net/11577/3423896.

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The research activity here reported spans different areas of the nanocomposite material science, giving a contribution toward the advancement in its state of the art. The study of the effects of the filler distribution on the mechanical properties of nanomodified polymers is a major research topic which is carried out. Different computational and theoretical approaches have been developed, considering statistics, finite element analyses and micromechanics. Several nanomodified epoxy resins have been manufactured along with glass fibre reinforced laminates with nanomodified matrix. The effects of the nanomodification on the mechanical properties of these composites have been studied, in order to validate predictive models and supply technical data to material designers. The results obtained so far highlight the importance, in this class of materials, of the study of interactions at the nanoscale between the nanoreinforcement and the matrix. The thesis is articulated in an introduction, followed by two sections, dedicated to the experimental activity and the modelling one, and by an appendix. The introduction presents a brief overview on nanocomposites giving a primer to a reader devoid of prior experience with this class of materials. The experimental activity section is constituted by four chapters. The first one contains the results of mechanical tests performed on a nanoparticle reinforced epoxy, alongside an analysis on the processing parameters employed in the composite preparation. The enhancement in the nanocomposite fracture toughness is compared with a theoretical model, showing a satisfactory agreement. The second chapter reports the study of the effect of the testing temperature on the fracture toughness of the same material. The analysis highlights the fundamental importance of the processing parameters and of the testing temperature on the nanomodification effects. The third chapter considers a different aspect of the nanomodification: a nanoplatelet reinforced epoxy is used to prepare notched specimens and the strength analysis of the notched component is carried out. The fourth chapter reports the research activity performed on the study of the matrix nanomodification of glass fibre reinforced laminates. The effects on the matrix dominated mechanical properties and the feasibility in the production of a laminate with antibacterial bulk properties are analysed. The modelling section is constituted by three chapters. The first one contains a comparison between two approaches for the estimation of the elastic properties of a nanocomposite material, considering explicitly the presence of an interphase surrounding the nanoreinforcements. The first approach implements a two-step micromechanical model, while the second one is based on a finite element analysis. The second chapter reports the research activity carried out on the generation of representative volume elements of nanoparticle reinforced materials. A statistically based algorithm is implemented to minimize the volume element size while retaining its representativeness. The study of the interphase extent and of the overall elastic modulus, through finite element analyses, is reported. The third chapter extends these considerations to the generation of volume elements for nanoplatelet reinforced materials. The random sequential absorption approach is implemented and its hidden effects on the filler distribution highlighted. A new version of the algorithm is proposed to remove these unwanted behaviours. The appendix section is dedicated to the implementation activity of approaches which have not been completed yet. The results obtained on the use of molecular dynamics in the simulation of polymers and nanomodified polymers are reported. While a detailed procedure for the simulation of epoxy resins is listed, the approach for the study of nanoplatelet-epoxy interactions is still in progress.<br>L'attività di ricerca riportata nella presente tesi riguarda diverse aree della scienza dei materiali nanocompositi e mira a dare un contributo nell'avanzamento del suo stato dell'arte. Uno degli ambiti principali di indagine è stato inerente allo studio degli effetti della distribuzione dei rinforzi sulle proprietà meccaniche esibite dai polimeri nanomodificati. Diversi approcci, computazionali e teorici, sono stati sviluppati, sfruttando considerazioni statistiche, l'analisi agli elementi finiti e la modellazione micromeccanica. E' stata eseguita la nanomodificazione di diverse resine epossidiche e la produzione di laminati in fibra di vetro con matrici nanomodificate. Sono quindi stati studiati gli effetti della nanomodificazione sulle proprietà meccaniche di questi compositi, al fine di validare modelli previsionali e fornire dati ai progettisti di materiali. I risultati finora conseguiti evidenziano l'importanza che, in questa classe di materiali, ricopre lo studio delle interazioni alla nanoscala che si sviluppano tra i nanorinforzi e la matrice. La tesi è articolata in una introduzione, seguita da due sezioni dedicate all'attività sperimentale e alla modellazione, e da una appendice a concludere. La sezione inerente l'attività sperimentale è costituita da quattro capitoli. Il primo contiene i risultati dei test sperimentali eseguiti su resine epossidiche nanomodificate, volti ad indagarne le proprietà meccaniche includendo l'effetto dei parametri di processo. E' inoltre riportato il confronto tra l'incremento della tenacità a frattura misurato sperimentalmente e le previsioni di un modello teorico, evidenziando una soddisfacente congruenza dei risultati. Il secondo capitolo riporta lo studio degli effetti della temperatura sulla tenacità a frattura dello stesso materiale. Tale analisi rimarca la fondamentale importanza dei parametri di processo e della temperatura di prova sugli effetti della nanomodificazione. Il terzo capitolo considera un diverso aspetto della nanomodificazione, ovvero la resistenza di campioni intagliati, prodotti con resine epossidiche rinforzate con nanoplatelets. Il quarto capitolo riporta l'attività di ricerca portata avanti sull'impiego di matrici nanomodificate in laminati rinforzati in fibra di vetro. Oggetto di analisi sono le proprietà meccaniche dipendenti dalla matrice e la possibilità di produrre laminati con proprietà antibatteriche. La sezione inerente l'attività di modellazione è invece costituita da tre capitoli. Il primo contiene un confronto tra due approcci volti alla stima delle proprietà elastiche di un materiale nanocomposito, considerando in modo esplicito la presenza di una interfase che circonda i nanorinforzi. Il primo degli approcci implementati è un modello micromeccanico in due passi, mentre il secondo è basato su una analisi agli elementi finiti. Il secondo capitolo riporta l'attività di ricerca inerente la creazione di volumi rappresentativi di materiali rinforzati da nanoparticelle. Tale studio si basa sull'impiego di un algoritmo in grado di considerare aspetti statistici volti alla riduzione della dimensione del volume di controllo, pur mantenendone la rappresentatività. Sono quindi riportate le analisi sull'estensione dell'interfase e sulle proprietà elastiche globali del composito, valutate tramite analisi agli elementi finiti. Il terzo capitolo estende i concetti esposti nel precedente per la generazione di volumi rappresentativi di materiali rinforzati con nanoplatelets. Un approccio basato sull'algoritmo di random sequential absorption è stato implementato, evidenziando gli effetti che questo comporta sulla distribuzione dei rinforzi. E' stata quindi proposta una nuova versione di questo algoritmo, capace di rimuovere queste conseguenze indesiderate. L'appendice è dedicata all'esposizione dell'attività svolta nell'implementazione di approcci che però non sono ancora stati completati. In essa sono riportati i risultati finora conseguiti sull'uso della dinamica molecolare nella simulazione di polimeri e nanocompositi. In particolare è elencata una procedura dettagliata per la simulazione di resine epossidiche, e la prima parte di un approccio per lo studio di resine epossidiche rinforzate con nanoclay.
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Voit, Walter Everett. "Optimization of mechanical properties and manufacturing techniques to enable shape-memory polymer processing." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/37136.

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This research investigates the synthesis and manufacture of shape-memory polymer (SMP) systems for use in biomedical and commodity applications. The research centers on improving the mechanical properties of thermoset acrylate copolymers with memory properties at reasonable cost through various design and manufacturing techniques: high-strain polymer synthesis and radiation crosslinking. The research assesses combinations of linear monomers and a low density of crosslinker to characterize new functional materials and optimize emerging mechanical properties such as the glass transition temperature (Tg) and rubbery modulus (ER). Exploring materials with large recoverable strains, a model copolymer of photo-polymerized methyl acrylate (MA), isobornyl acrylate and crosslinker bisphenol A ethoxylate dimethacrylate was shown to strain above 800%, twice the previously published value for SMPs, and recover fully. In the quest to maximize fully recoverable strains, a new hybrid molecule nicknamed Xini, which serves as both an initiator and a crosslinker, was also theorized, synthesized, polymerized into SMP networks and characterized. In the past, thermoset SMPs were made into complex shapes using expensive top-down techniques. A block of polymer was made and custom machining was required to craft complex parts. This prohibited devices in cost-competitive commodity application spaces. This research has proposed and validated a new method for accurately tuning the thermomechanical properties of network acrylates with shape-memory properties: Mnemosynation, eponymously named for the Greek goddess of memory. This novel manufacturing process imparts long term 'memory' on an otherwise amorphous thermoplastic material utilizing radiation-induced covalent crosslinking, and can be likened to Vulcanization, which imparts strength on natural rubber utilizing sulfur crosslinks. Adjustment of ER in the range from below 1 MPa to above 13 MPa has been demonstrated. ER was tailored by varying both radiation dose between 5 and 300 kGy and crosslinker concentration between 1.00 and 25.0 wt%. Tg manipulation was demonstrated between 23 ˚C and 70 ˚C. Mnemosynation combines advances in radiation grafting and acrylic SMP synthesis to enable both traditional plastics processing (blow molding, injection molding, etc.) and control of thermoset shape-memory properties. Combining advances in both high strain polymer synthesis and radiation crosslinking, a new paradigm in SMP composites manufacture-namely, that materials can be designed to enhance strain capacity at moderate stress, rather than maximum strength-was established. Various fibers with very different mechanical properties were impregnated with SMPs and thermo-mechanically assessed to develop an understanding of the technical parameters necessary to craft self-adjusting, multi-actuated, SMP-fiber composite orthopedic casts. This exploration syncs with the overarching aim of the research, which is to understand the fundamental scientific drivers necessary to enable new devices mass-manufactured from acrylate copolymers and optimize their emerging mechanical properties.
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Hornig, Klaus H. Flowers George T. "Heuristic optimization methods for the characterization of dynamic mechanical properties of composite materials." Auburn, Ala., 2007. http://repo.lib.auburn.edu/2006%20Fall/Dissertations/HORNIG_KLAUS_7.pdf.

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Chen, Chia-Jung. "OPTIMIZATION OF MECHANICAL PROPERTIES IN A356 VIA SIMULATION AND PERMANENT MOLD TEST-BARS." Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1386184784.

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Lawson, Benjamin James. "Compositional Optimization, Mechanical Properties, and Tempering Response in Type 410 Stainless Steel Welds." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1557201840078564.

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Streitenberger, Dirk. "Analysis and optimization of a new design of a bicycle frame." Thesis, Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/19595.

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Cobb, Ted Quincy Jr. "Optimization of hybrid titanium composite laminates." Thesis, Georgia Institute of Technology, 1998. http://hdl.handle.net/1853/19965.

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McClure, Michael. "Optimization of a Tri-layered Vascular Graft: The Influence of Cellular and Mechanical Properties." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/2553.

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Electrospinning is a polymer processing technique which allows for the production of nano to micro size fibers and scaffolds which can be composed of numerous synthetic biodegradable materials and natural biopolymers. Natively, elastin and collagen are the main components of vascular tissue. Arranged in a tri-layered structure, they create a specific mechanical environment that can withstand the rigors of circulation. The goal of this study was to develop a mechanically ‘biomimicking’ vascular graft composed of three distinct layers through the process of electrospinning. We hypothesize that the use of bioactive agents such as elastin, collagen, and silk to supplement poly(caprolactone) at specified ratios for each layer would provide a finely tuned vascular replacement. This was accomplished by establishing cross-linking parameters for the biopolymer materials and then assessing the mechanical properties of individual materials and eventually a whole tri-layered graft. Additionally, while mechanical testing can lead to a good graft, a replacement graft requires excellent cellular properties as well to promote cell infiltration, proliferation, and migration. Therefore, the conclusion of this study examines the integrin binding characteristics of the electrospun biopolymers. First, the results from the preliminary cross-linking study examined the dissipation of soluble elastin when uncross-linked v. cross-linked. It was determined through this initial study that synthetic scaffolds blended with soluble proteins such as elastin require a fixation in order to retain their protein mass within the scaffold. Retaining this mass, incrementally changed the material properties of the blended scaffolds. This initial study was then carried further to establish optimal cross-linking parameters using two different types of reagents: carbodiimide and genipin. It was found that lower cross-linking molarities produced excellent results based on assays performed to assess cross-linking percentages and rate of reaction. Some differences in mechanical properties were seen, but they did not constitute a choice of one cross-linker over the other. The next portion of this study aimed to design a tri-layered graft. This was performed with the aid of mathematical analysis to observe circumferential wall stresses based on simple tensile properties. A series of tri-layered grafts were electrospun using poly(caprolactone), elastin, and collagen. The medial layers of these grafts were changed while the intima and adventitia remained constant. Differences were demonstrated as the elastin content of the medial layer decreased, proving that each layer had an affect on the overall graft properties and that it was possible to tune graft mechanics. A larger tri-layered study looked to evaluate changes in the adventitial and medial layers while keeping the intimal layer constant using poly(caprolactone), elastin, collagen, and silk fibroin. In this study, differences were exhibited under compliance and burst strength testing, narrowing the scope of material choices. Results from a 4 week degradation study with the best tri-layered grafts revealed no evidence of degradation, but did generate some positive compliance results for two of the grafts. Finally, integrin binding and protein analysis portrayed results that were indicative of the existence of ligand binding sites for collagen scaffolds and the possibility of a small amount of ligand sites on silk. Elastin, however, displayed low to non-existent adhesion. These studies produced results that allowed us to continuously narrow the scope of materials as the experiment progressed towards an optimized tri-layered vascular graft.
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Brent, Kevin M. "Optimization of Fire Blanket Performance by Varying Radiative Properties." Case Western Reserve University School of Graduate Studies / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=case1313767793.

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Books on the topic "Mechanical Properties Optimization"

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Kalamkarov, Alexander L. Analysis, design, and optimization of composite structures. J. Wiley & Sons, 1997.

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Mattheck, C. Wood: The internal optimization of trees. Springer, 1995.

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Marek, Brandt Andrzej, ed. Optimization methods for material design of cement-based composites. E&FN Spon, 1998.

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IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects (2000 Kiruna, Sweden). IUTAM Symposium on Field Analyses for Determination of Material Parameters-- Experimental and Numerical Aspects. Kluwer Academic Publishers, 2003.

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Ann, Meador Mary, University of Akron, and United States. National Aeronautics and Space Administration., eds. "Organometallic polymeric conductors": Final report for cooperative agreement NCC3-225, NASA-Lewis Research Center. National Aeronautics and Space Administration, 1997.

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Nev.) International Conference on Scientific Computing and Applications (8th 2012 Las Vegas. Recent advances in scientific computing and applications: Eigth International Conference on Scientific Computing and Applications, April 1-4, 2012, University of Nevada, Las Vegas, Nevada. Edited by Li, Jichun, editor of compilation, Yang, Hongtao, 1962- editor of compilation, and Machorro, Eric A. (Eric Alexander), 1969- editor of compilation. American Mathematical Society, 2013.

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Fonseca, Carlos M. da. A panorama of mathematics: Pure and applied : Conference on Mathematics and Its Applications, November 14-17, 2014, Kuwait University, Safat, Kuwait. American Mathematical Society, 2016.

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Kalamkarov, Alexander L., and Alexander G. Kolpakov. Analysis, Design and Optimization of Composite Structures. Wiley & Sons, Incorporated, John, 2000.

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Brandt, A. M. Optimization Methods for Material Design of Cement-Based Composites. Taylor & Francis Group, 1998.

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Kubler, Hans, and C. Mattheck. Wood: The Internal Optimization of Trees. Springer, 1997.

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Book chapters on the topic "Mechanical Properties Optimization"

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Hale, Christopher, Zhigang Xu, HongLin Zhang, Sergey Yarmolenko, and Jagannathan Sankar. "Optimization of Mechanical Properties in Magnesium Zinc Alloys." In Magnesium Technology 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65528-0_25.

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Ackermann, Robert, Günter Fleischer, Silke Hermanns, Natalie Ibald, and Stefan Roth. "Environmental and Economic Plant Optimization." In Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling. Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527606157.ch61.

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Gurunagendra, G. R., B. R. Raju, C. Ravi Keerthi, Vijayakumar Pujar, D. P. Girish, and H. S. Siddesha. "Optimization of Tribological Properties of Microparticulate-Reinforced ZA-27 Composites." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1388-4_14.

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Bendsøe, Martin P., José M. Guedes, Sheldon Plaxton, and John E. Taylor. "Optimization of Structure & Material Properties for Solids Composed of Softening Material." In IUTAM Symposium on Optimization of Mechanical Systems. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0153-7_3.

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Borkar, Vivek, and Dilip Mishra. "A Review on Mechanical Properties of Coir Reinforced Polymer Composites." In Computational Optimization, Modeling, and Simulation for Engineering Applications. Apple Academic Press, 2024. http://dx.doi.org/10.1201/9781003454021-14.

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Kraft, Torsten, Hermann Riedel, Ottmar Rosenfelder, and Peter Stingl. "Computational Optimization of Parts Produced from Ceramic Powders." In Microstructures, Mechanical Properties and Processes - Computer Simulation and Modelling. Wiley-VCH Verlag GmbH & Co. KGaA, 2005. http://dx.doi.org/10.1002/3527606157.ch53.

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Singh, Sakshi, and Nathi Ram Chauhan. "Optimization of Hardness Properties of Magnesium-Based Composites by Using Taguchi Method." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-8704-7_30.

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Zaichuk, Natalia, Sergii Shymchuk, Anatolii Tkachuk, Yurii Shymchuk, and Karim Kashash Badir. "Improvement of Operating Properties of Heat-Resistant Alloys by the Structure Optimization." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91327-4_38.

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Lebedev, Vladimir, Oleksii Shestopalov, Serhii Vyrovets, Andrij Masikevych, and Antonina Baranova. "Electromagnetic Radiation Absorption Polymer Ceramic-Inorganic Composites Mechanical Properties Optimization." In Smart Technologies in Urban Engineering. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46877-3_36.

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Mohring, Richard O., and Ferdinand Rodriguez. "The Optimization of the Mechanical Properties of Reinforced Collagen Films." In Renewable-Resource Materials. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2205-4_17.

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Conference papers on the topic "Mechanical Properties Optimization"

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Wang, Suyang, Qingqi Zhu, Jiangshan Haol, et al. "Predicting Mechanical Properties of Steel Based on Ensemble Learning and Bayesian Optimization." In 2024 Twelfth International Conference on Advanced Cloud and Big Data (CBD). IEEE, 2024. https://doi.org/10.1109/cbd65573.2024.00013.

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Selvambikai, M., R. Kannan, V. Divya, and P. S. Premkumar. "NiFeWP Thin Film Optimization for Aerospace Applications-Annealing Effect on Mechanical and Magnetic Properties." In 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA). IEEE, 2025. https://doi.org/10.1109/icaeca63854.2025.11012527.

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Jia, Xinghao, Ruoyu Wu, Mingqi Wang, Yuan Cao, and Kai Li. "Research on the Mechanical Properties of Axles Based on Neural Networks and Particle Swarm Optimization Algorithm." In 2024 IEEE 2nd International Conference on Image Processing and Computer Applications (ICIPCA). IEEE, 2024. http://dx.doi.org/10.1109/icipca61593.2024.10709070.

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Ladwein, Thomas L., Matthias Sorg, and Sebastian Schilling. "Characterization and Optimization of the Functional Properties of Stainless Steel Surfaces." In CORROSION 2009. NACE International, 2009. https://doi.org/10.5006/c2009-09382.

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Abstract Parts from stainless steels owe their chemical resistance to the functional properties of their surfaces. They are responsible for the corrosion resistance and also for other properties like adhesion of substrates or ease to clean. The passive layer forms the phase boundary between metal and environment. It is formed either spontaneously during the fabrication or can be produced in an accelerated way by specific chemical treatments. The quality of the passive film is dependant of the alloying content of the metal, but also largely influenced by other factors like fabrication processes, surface topography and type of mechanical and chemical surface treatment. The passive layer is also a kind of living system whose properties and stability is largely influenced by the environment where it is used in. So far, there are no methods to characterize these functional surface properties in a generally applicable way. Combination of special electrochemical techniques in combination with measurements of the surface energy have shown to be useful tools. This permits to characterize and to classify the functional properties of surfaces which have been produced by mechanical and special chemical and electrochemical treatments.
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Campanelli, Sabina Luisa, Antonio Domenico Ludovico, and Caterina Casavola. "Mechanical properties optimization in stereolithographic process." In ICALEO® 2005: 24th International Congress on Laser Materials Processing and Laser Microfabrication. Laser Institute of America, 2005. http://dx.doi.org/10.2351/1.5060602.

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Smith, C. Frederic, Braden Lapp, and Michael Glavicic. "Uncertainty Quantification of Material Mechanical Properties Using Surrogate Models." In 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-3998.

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Srinivasan, G. V., S. K. Lau, R. S. Storm, M. K. Ferber, and M. G. Jenkins. "Process Optimization of Hexoloy SX-SiC Towards Improved Mechanical Properties." In ASME 1993 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/93-gt-415.

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Hexoloy SX SiC materials, sintered with the addition of yttrium and aluminum containing compounds, have been demonstrated to possess higher toughness and strength than the boron and carbon doped Hexoloy SA [1]. Under a Department of Energy/Oak Ridge National Laboratory (DOE/ORNL) contract, a complete characterization was conducted on an SX composition selected for high temperature application. The particular composition selected for that study was Generation 1 SX-SiC (SX-G1), which contained about 2 wt% total additives.
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Okamoto, Ruth J., Julius M. Guccione, Michael J. Moulton, and Michael K. Pasque. "Optimization of Material Properties of Passive Myocardium Using Epicardial Suction." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-1290.

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Abstract Non-homogeneous changes in cardiac mechanical function occur in regional pathological disorders such as ischemic heart disease. Mathematical models provide a sound basis for the interpretation of these changes and their relation to local myocardial tissue properties. Existing models incorporate three-dimensional ventricular geometry, internal fibrous architecture of the ventricular walls and information about ventricular pressures. The ability of these models to predict mechanical function, however, depends on the incorporation of an accurate description of the intrinsic material properties of myocardial tissue. These material properties were estimated by Novak et al (1994) using biaxial test results from excised ventricular myocardium. Guccione et al (1991) used two-dimensional strains measured at one location with implanted beads to determine material properties in an intact heart. Taking advantage of recent developments in magnetic resonance imaging (MRI) for measuring cardiac deformation, we developed epicardial suction as a new test method for determining the material parameters in a three-dimensional constitutive relation describing ventricular myocardium (Okamoto et al, 1995). In this abstract, we describe a method for optimizing material properties that compares experimental measurements of in-plane displacements caused by epicardial suction with predicted displacement results from a finite element (FE) model simulating the experiment. A diagram of the method is shown in Fig. 1. We also discuss preliminary results from two experiments.
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Ambedkar, Bula Ratna Kumar, and Velugula Mani Kumar. "Comparative studies on mechanical properties of ferrochrome slag reinforced 1100 aluminium alloy composites." In 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT). IEEE, 2016. http://dx.doi.org/10.1109/iceeot.2016.7755430.

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Smith, Frank C., Fabrizio L. Scarpa, and G. Burriesci. "Simultaneous optimization of the electromagnetic and mechanical properties of honeycomb materials." In SPIE's 9th Annual International Symposium on Smart Structures and Materials, edited by L. Porter Davis. SPIE, 2002. http://dx.doi.org/10.1117/12.474693.

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Reports on the topic "Mechanical Properties Optimization"

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DuPont, John N., Jeffrey D. Farren, Andrew W. Stockdale, and Brett M. Leister. Energy Saving Melting and Revert Reduction (E-SMARRT): Optimization of Heat Treatments on Stainless Steel Castings for Improved Corrosion Resistance and Mechanical Properties. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1045448.

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Naseem, Sajid, Sandra Heckel, Martin Zahel, and Andreas Leuteritz. Optimization of dosing methodof hybrid filler (Cellulose/MgAl LDH) in biopolymers using micro-compounder for preparation of bio-composites. Universidad de los Andes, 2024. https://doi.org/10.51573/andes.pps39.ss.bbb.1.

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With growing environmental concerns about using conventional plastics in daily life, the demand for bio-based polymer products is increasing. Natural and biodegradable raw materials are alternatives for making plastic products more sustainable. Cellulose-based fibers have gained attention in preparing biodegradable polymer composites because of their biodegradable nature, bio-based origin, low cost and low weight compared to synthetic fibers (glass and carbon). In this research, hybrid fillers based on cellulose and hydrotalcite were used in biodegradable polymers such as in PLA and blend of PBAT/PLA to prepare bio composites. The loading of hybrid filler (cellulose/LDH) was done using a small-scale compounding machine. Hybrid fillers were used in compounding machines in different forms (paste, freeze dried, PLA dissolved, PEG mixed, and sheet based) with PBAT/PLA. The dosing method of hybrid filler in polymer was optimized in this work. Morphological analysis of hybrid filler and the mechanical properties of bio composites were also done. The tensile modulus of PLA was increased by about 33% when sheet-based hybrid filler was added to the PLA composite.
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Engel, Bernard, Yael Edan, James Simon, Hanoch Pasternak, and Shimon Edelman. Neural Networks for Quality Sorting of Agricultural Produce. United States Department of Agriculture, 1996. http://dx.doi.org/10.32747/1996.7613033.bard.

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The objectives of this project were to develop procedures and models, based on neural networks, for quality sorting of agricultural produce. Two research teams, one in Purdue University and the other in Israel, coordinated their research efforts on different aspects of each objective utilizing both melons and tomatoes as case studies. At Purdue: An expert system was developed to measure variances in human grading. Data were acquired from eight sensors: vision, two firmness sensors (destructive and nondestructive), chlorophyll from fluorescence, color sensor, electronic sniffer for odor detection, refractometer and a scale (mass). Data were analyzed and provided input for five classification models. Chlorophyll from fluorescence was found to give the best estimation for ripeness stage while the combination of machine vision and firmness from impact performed best for quality sorting. A new algorithm was developed to estimate and minimize training size for supervised classification. A new criteria was established to choose a training set such that a recurrent auto-associative memory neural network is stabilized. Moreover, this method provides for rapid and accurate updating of the classifier over growing seasons, production environments and cultivars. Different classification approaches (parametric and non-parametric) for grading were examined. Statistical methods were found to be as accurate as neural networks in grading. Classification models by voting did not enhance the classification significantly. A hybrid model that incorporated heuristic rules and either a numerical classifier or neural network was found to be superior in classification accuracy with half the required processing of solely the numerical classifier or neural network. In Israel: A multi-sensing approach utilizing non-destructive sensors was developed. Shape, color, stem identification, surface defects and bruises were measured using a color image processing system. Flavor parameters (sugar, acidity, volatiles) and ripeness were measured using a near-infrared system and an electronic sniffer. Mechanical properties were measured using three sensors: drop impact, resonance frequency and cyclic deformation. Classification algorithms for quality sorting of fruit based on multi-sensory data were developed and implemented. The algorithms included a dynamic artificial neural network, a back propagation neural network and multiple linear regression. Results indicated that classification based on multiple sensors may be applied in real-time sorting and can improve overall classification. Advanced image processing algorithms were developed for shape determination, bruise and stem identification and general color and color homogeneity. An unsupervised method was developed to extract necessary vision features. The primary advantage of the algorithms developed is their ability to learn to determine the visual quality of almost any fruit or vegetable with no need for specific modification and no a-priori knowledge. Moreover, since there is no assumption as to the type of blemish to be characterized, the algorithm is capable of distinguishing between stems and bruises. This enables sorting of fruit without knowing the fruits' orientation. A new algorithm for on-line clustering of data was developed. The algorithm's adaptability is designed to overcome some of the difficulties encountered when incrementally clustering sparse data and preserves information even with memory constraints. Large quantities of data (many images) of high dimensionality (due to multiple sensors) and new information arriving incrementally (a function of the temporal dynamics of any natural process) can now be processed. Furhermore, since the learning is done on-line, it can be implemented in real-time. The methodology developed was tested to determine external quality of tomatoes based on visual information. An improved model for color sorting which is stable and does not require recalibration for each season was developed for color determination. Excellent classification results were obtained for both color and firmness classification. Results indicted that maturity classification can be obtained using a drop-impact and a vision sensor in order to predict the storability and marketing of harvested fruits. In conclusion: We have been able to define quantitatively the critical parameters in the quality sorting and grading of both fresh market cantaloupes and tomatoes. We have been able to accomplish this using nondestructive measurements and in a manner consistent with expert human grading and in accordance with market acceptance. This research constructed and used large databases of both commodities, for comparative evaluation and optimization of expert system, statistical and/or neural network models. The models developed in this research were successfully tested, and should be applicable to a wide range of other fruits and vegetables. These findings are valuable for the development of on-line grading and sorting of agricultural produce through the incorporation of multiple measurement inputs that rapidly define quality in an automated manner, and in a manner consistent with the human graders and inspectors.
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EXPERIMENTAL STUDY ON MECHANICAL PROPERTIES AND OPTIMIZATION OF CHOPPED BASALT FIBER REINFORCED CONCRETE. The Hong Kong Institute of Steel Construction, 2022. http://dx.doi.org/10.18057/icass2020.p.251.

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This paper investigated the influence of CBF damage mode of matrix concrete and the strength of matrix concrete under different stress states. The length of basalt fiber is 6 mm. Three basic mechanical properties tests were conducted with five fiber volume admixtures of 0.00%, 0.05%, 0.10%, 0.15% and 0.20% used as the variables. A total of 90 specimens of different sizes were prepared to study the variation rules of compressive strength, splitting tensile strength and flexural strength at different ages of 7d and 28d, the strengthening mechanism of the reinforcing effect of CBF was also analyzed, and the optimal volume fraction of CBFs was obtained. The results can be concluded that (1) the disordered distribution and uniform dispersion of CBF improve the damage morphology of concrete matrix, reflecting a good effect in the enhancing and crack-resisting; (2)The compressive strength and flexural strength increase first and then decrease with increasing of the fiber incorporation amount, and the BFRC reach their strength peak points when the fiber volume ratio is equal to 0.10%; (3) The dispersion of tensile strengths are relatively high, but they still show a trend of slow increasing trend.
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