Relevant bibliographies by topics / Material Property Identification

Academic literature on the topic 'Material Property Identification'

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Published: 6 September 2023
Last updated: 7 September 2023

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Journal articles on the topic "Material Property Identification"

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Wilkie, Jack, Paul D. Docherty, and Knut Möller. "Model-based bone material property identification." at - Automatisierungstechnik 68, no. 11 (November 26, 2020): 913–21. http://dx.doi.org/10.1515/auto-2020-0083.

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AbstractCorrect torqueing of bone screws is important for orthopaedic surgery. Surgeons mainly tighten screws ad hoc, risking inappropriate torqueing. An adaptive torque-limiting screwdriver may be able to measure the torque-rotation response and use parameter identification of key material properties to recommend optimal torques. This paper analyses the identifiability and sensitivity of a model of the bone screwing process. The accuracy with which values of the Young modulus (E) of the bone were identified depended on the value of E, with larger values being less accurately identified. The error in identified {\sigma _{uts}} (Tensile strength) values was less than 0.5 % over all the cases tested, with no discernible dependence on the co-identified values of E. Experimental validation is still required for the model and identification process, but this approach is feasible and promising from a theoretical perspective.
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Kottner, Radek, Richard Hynek, Tomáš Mandys, and Jan Bartošek. "Material property determination of the lining layers of a versatile helmet." MATEC Web of Conferences 157 (2018): 06005. http://dx.doi.org/10.1051/matecconf/201815706005.

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This paper deals with material property identification of a helmet lining consisting of an outer layer of an expanded polystyrene (EPS) and inner layer of an open-closed cell foam (OCCF). A combined numerical simulation and experimental testing was used for the material property identification. Compression and drop tests were performed. The ABAQUS finite element commercial code was used for numerical simulations in which the OOCF was modelled as a rate dependent viscoelastic material, while the EPS as a crushable foam. The reaction force time histories coming from the numerical simulation and the experiment have been used as a criterion for material parameter determination. After the identification of the material properties, numerical drop-tests were used to study the behaviour of a plate and a conical composite OOCF and EPS liners to decide which of them suits more for the helmet.
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TAKEKOSHI, Kunio. "Study on the Identification Method for the Non-linear Material Property." Proceedings of the Materials and Mechanics Conference 2019 (2019): OS1512. http://dx.doi.org/10.1299/jsmemm.2019.os1512.

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O'Callaghan, Tim. "Intellectual property in the petroleum production and exploration sector—the other hidden asset." APPEA Journal 55, no. 2 (2015): 447. http://dx.doi.org/10.1071/aj14082.

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According to IBISWorld (2013), 7.7% of Australia’s A$11 trillion assets are natural resources and 5.4% is intellectual property. Despite this intellectual property is overlooked as a valuable asset in the oil and gas industry. As the means of extraction become more complex, the methods and tools needed for the purpose can give one company an edge over another. Intellectual property rights help to protect that competitive advantage. Companies need to have a strategy for the early identification, management and protection of this asset. Customers, contractors and joint venture partners can create intellectual property ownership issues that must also be identified and properly managed. This extended abstract provides: a framework for establishing a robust intellectual property management strategy for companies in the exploration and production sector; identification of key intellectual property assets of businesses in the sector; a review of industry specific challenges, such as the requirement under WA’s Petroleum and Geothermal Energy Resources (Environment) Regulations 2012 to disclose trade secrets and commercially sensitive material about downhole substances; and, consideration of model agreements used in the sector, such as the AMPLA Model Petroleum Exploration Joint Operating Agreement.
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Sung, Byung Joon, Jin Woo Park, and Yong Hyup Kim. "Material Property Identification of Composite Plates Using Neural Network and Evolution Algorithm." AIAA Journal 40, no. 9 (September 2002): 1914–16. http://dx.doi.org/10.2514/2.1873.

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Sung, B. J., J. W. Park, and Y. H. Kim. "Material property identification of composite plates using neural network and evolution algorithm." AIAA Journal 40 (January 2002): 1914–16. http://dx.doi.org/10.2514/3.15278.

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Lißner, Julian, and Felix Fritzen. "Data-Driven Microstructure Property Relations." Mathematical and Computational Applications 24, no. 2 (May 31, 2019): 57. http://dx.doi.org/10.3390/mca24020057.

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An image based prediction of the effective heat conductivity for highly heterogeneous microstructured materials is presented. The synthetic materials under consideration show different inclusion morphology, orientation, volume fraction and topology. The prediction of the effective property is made exclusively based on image data with the main emphasis being put on the 2-point spatial correlation function. This task is implemented using both unsupervised and supervised machine learning methods. First, a snapshot proper orthogonal decomposition (POD) is used to analyze big sets of random microstructures and, thereafter, to compress significant characteristics of the microstructure into a low-dimensional feature vector. In order to manage the related amount of data and computations, three different incremental snapshot POD methods are proposed. In the second step, the obtained feature vector is used to predict the effective material property by using feed forward neural networks. Numerical examples regarding the incremental basis identification and the prediction accuracy of the approach are presented. A Python code illustrating the application of the surrogate is freely available.
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Feng, Xiang Sai, and Kai Shu Guan. "Identification of Creep Property by Small Punch Creep Test and Neural Networks." Applied Mechanics and Materials 711 (December 2014): 227–30. http://dx.doi.org/10.4028/www.scientific.net/amm.711.227.

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Present work describes an approach to identify creep properties of P91 with finite element simulations and neural networks. The small punch test was used to determine the material property under high temperature. Results showed that, the neural networks could be used to evaluate the creep property together with the small punch creep test and finite element simulations.
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Gaillard, Claire, Agnieszka Mech, Wendel Wohlleben, Frank Babick, Vasile-Dan Hodoroaba, Antoine Ghanem, Stefan Weigel, and Hubert Rauscher. "A technique-driven materials categorisation scheme to support regulatory identification of nanomaterials." Nanoscale Advances 1, no. 2 (2019): 781–91. http://dx.doi.org/10.1039/c8na00175h.

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Savvas, Dimitrios, Iason Papaioannou, and George Stefanou. "Bayesian identification and model comparison for random property fields derived from material microstructure." Computer Methods in Applied Mechanics and Engineering 365 (June 2020): 113026. http://dx.doi.org/10.1016/j.cma.2020.113026.

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Dissertations / Theses on the topic "Material Property Identification"

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Hill, Jeremy Lee. "Mechanical property determination for flexible material systems." Diss., Georgia Institute of Technology, 2016. http://hdl.handle.net/1853/54993.

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Inflatable Aerodynamic Decelerators (IADs) are a candidate technology NASA began investigating in the late 1960’s. Compared to supersonic parachutes, IADs represent a decelerator option capable of operating at higher Mach numbers and dynamic pressures. IADs have seen a resurgence in interest from the Entry, Descent, and Landing (EDL) community in recent years. The NASA Space Technology Roadmap (STR) highlights EDL systems, as well as, Materials, Structures, Mechanical Systems, and Manufacturing (MSMM) as key Technology Areas for development in the future; recognizing deployable decelerators, flexible material systems, and computational design of materials as essential disciplines for development. This investigation develops a multi-scale flexible material modeling approach that enables efficient high-fidelity IAD design and a critical understanding of the new materials required for robust and cost effective qualification methods. The approach combines understanding of the fabric architecture, analytical modeling, numerical simulations, and experimental data. This work identifies an efficient method that is as simple and as fast as possible for determining IAD material characteristics while not utilizing complicated or expensive research equipment. This investigation also recontextualizes an existing mesomechanical model through validation for structures pertaining to the analysis of IADs. In addition, corroboration and elaboration of this model is carried out by evaluating the effects of varying input parameters. Finally, the present investigation presents a novel method for numerically determining mechanical properties. A sub-scale section that captures the periodic pattern in the material (unit cell) is built. With the unit cell, various numerical tests are performed. The effective nonlinear mechanical stiffness matrix is obtained as a function of elemental strains through correlating the unit cell force-displacement results with a four node membrane element of the same size. Numerically determined properties are validated for relevant structures. Optical microscopy is used to capture the undeformed geometry of the individual yarns.
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Phillips, Peter Louis. "Study of 2.5D Microstructural Modeling Techniques Used for Material Property Identification." University of Dayton / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1259944273.

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Wang, Jianjun. "Material property identification of polymer thin films under the indentation test." 2001. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-94/index.html.

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Lin, Ren-Jeng, and 林仁正. "Multiple Cracks Identification of Free-Free Beam with Uniform Material Property Variation and Noised Frequency Measurement." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/96279169909450831632.

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博士
國立交通大學
土木工程系所
97
It is common to apply damage-sensitive features from vibration response for structural damage assessment. Fewer damage identification algorithms have been taken into account the material variation. The material variation could be caused by many reasons in engineering practice, also there may exists certain level noise in measurement, these variations may affect the features used for structure monitoring and lead to an inaccurate damage assessment. In this research the authors proposed a model to assess statistical structural damage of free-free beam structure. The modal curvature-base feature was used to identify crack location. The statistical database for damage severity assessment was build by applying the Monte Carlo simulation with Latin hypercube sampling. By mapping vibration-sensitive features with noised modal frequency to statistical damage database, the damage probability among various crack depths were then estimated; its statistical significance of damage level were examined by the t-test. Data from simulated beams and experimental modal analysis were used to demonstrate the assessment procedures. From the results, the authors concluded that the proposed algorithm was robust and able to identify the damage of free-free beam under uniform mass density and stiffness variations incorporated with noise in measured frequency.
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chang, sandy, and 張瓅心. "Synthesis, Identification, and Opto-electronic Property of Pyrene Derivative Isomers for Organic Light Emitting Diode Material." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/11521271929238805601.

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碩士
中原大學
化學研究所
98
In this study, pyrene was used to manufacture the blue light guest emitter for organic light emitting diode (OLED) elements. Bromine was first reacted with pyrene to form its 1,6- and 1,8-isomer. Then, different aromatic groups to increase its molecular volume, molecular weight, and molecular steric hindrance that can reduce the accumulation of molecules and decrease the interaction between molecules in a heavily doped material substituted bromine in the pyrene molecule. The blue OLEDs synthesized in this study are N1,N1,N6,N6-tetrakis(3,4-dimethylphenyl) pyrene-1,6- diamine (symboled as D1-1,6),N1,N1,N6,N6-tetrakis(3,4-dimethylphenyl)pyrene-1,8- diamine (symboled as D1-1,8), (N1,N6-di(naphthalenelyl)-N1,N6-diphenyl 1,6-diamine (symboled as D2-1,6), and N1,N8-di(naphthalenelyl)-N1,N8- diphenyl pyrene-1,8- diamine (symboled as D2-1,8). The 1,6- and 1,8-pyrene derivative isomers can be separated by their different properties of solubility and sublimation. High-performance liquid chromatography (HPLC), nuclear magnetic resonance (NMR), and mass spectrometry (MS) were used for monitoring the synthesis and identifying the structure of pyrene derivative isomers. The fluorescence property and the thermal stability with the melting point (Tm) and the degradation point (Td) of these blue light emitting materials were also studied in this work. Isomers of D1-1,6 and D1-1,8 and isomers of D2-1,6 and D2-1,8 were fabricated individually to make different types of blue light emitting thin film elements by the process of thermal evaporation and deposition, then, they were tested at the luminance of 5000 cd cm-2. With the same guest light emitting material and the same volume percentage of dopant (4%), the current efficiency of the four blue light emitting materials D1-1,6, D1-1,8, D2-1,6, and D2-1,8 is 7.5 cd A-1, 7.7 cd A-1, 8.1 cd A-1and 8.5 cd A-1, respectively. Because the molecular structures of 1,8-isomers are asymmetry and their steric hindrance is stronger, the light emitting efficiency of 1,8-isomers is better than that of the 1,6-isomers. In addition, the steric hindramce between the molecules of D2 compounds is stronger than that of D1 compounds so that the light emitting efficiency of D2 compounds is better than that of D1 compounds. Although the luminescent color of the fabricated elements from the four pyrene derivative isomers cannot reach a deep blue color, they are still valuable in the production of mono-chromatic OLED products.
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Rautela, Mahindra Singh. "Hybrid Physics-Data Driven Models for the Solution of Mechanics Based Inverse Problems." Thesis, 2023. https://etd.iisc.ac.in/handle/2005/6123.

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Inverse problems pose a significant challenge as they aim to estimate the causal factors that result in a measured response. However, the responses are often truncated, partially available, and corrupted by measurement noise, rendering the problems ill-posed, and may have multiple or no solutions. Solving such problems using regularization transforms them into a family of well-posed functions. While physics-based models are interpretable, they operate under approximations and assumptions. Data-driven models such as machine learning and deep learning have shown promise in solving mechanics-based inverse problems, but they lack robustness, convergence, and generalization when operating under partial information, compromising the interpretability and explainability of their predictions. To overcome these challenges, hybrid physics-data-driven models can be formulated by integrating prior knowledge of physical laws, expert knowledge, spatial invariances, empirically validated rules, etc., acting as a regularizing agent to select a more feasible solution space. This approach improves prediction accuracy, robustness, generalization, interpretability, and explainability of the data-driven models. In this dissertation, we propose various physics-data-driven models to solve inverse problems related to engineering mechanics by integrating prior knowledge and its representation into a data-driven pipeline at different stages. We have used these hybrid models to solve six different inverse problems, such as leakage estimation of a pressurized habitat, estimating dispersion relations of a waveguide, structural damage identification, filtering temperature effects in guided waves, material property prediction, and guided wave generation and material design. The dissertation presents a detailed overview of inverse problems, definitions of the six inverse problems, and the motivation behind using hybrid models for their solution. Six different hybrid models, such as adaptive model calibration, physics-informed neural networks, inverse deep surrogate, deep latent variable, and unsupervised representation learning models, are formulated, and arranged on different levels of a pyramid, showing the trade-off between autonomy and explainability. All these new methods are designed with practical implementation in mind. The first model uses an adaptive real-time calibration framework to estimate the severity of leaks in a pressurized deep space habitat before they become a threat to the crew and habitat. The second model utilizes a physics-informed neural network to estimate the speed of wave propagation in a waveguide from limited experimental observations. The third model uses deep surrogate models to solve structural damage identification and material property prediction problems. The fourth model proposes a domain knowledge-based data augmentation scheme for ultrasonic guided waves-based damage identification. The fifth model uses unsupervised feature learning to solve guided waves-based structural anomaly detection and filtering the temperature effects on guided waves. The final model employs a deep latent variable model for structural anomaly detection, guided wave generation, and material design problems. Overall, the thesis demonstrates the effectiveness of hybrid models that combine prior knowledge with machine learning techniques to address a wide range of inverse problems. These models offer faster, more accurate, and more automated solutions to these problems than traditional methods.
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Kulkarni, Raghavendra B. "Inverse problems solution using spectral finite element methods." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5471.

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Inverse problems are very challenging as these problems involve, finding the cause by analyzing the effects. In structural dynamics problems, the effects are normally measured in terms of dynamic responses in structures. These responses which are used to find the cause generally have partial data, embedded with measurement noise, and are truncated. Due to these problems, inverse problems are generally ill-posed in most cases as against forward problems. In this dissertation, we solve five different types of inverse problems involving high-frequency transient loads. All these problems are solved using the time-domain spectral element method (TSFEM) along with experimental or numerically simulated responses. The dissertation starts with the formulation of the forward problem, which is obtaining the responses from known input forces. The general formulation of TSFEM of composite Timoshenko beam is derived. The isotropic beam formulation is shown as a special case in this formulation. Five different inverse problems solved in the thesis are: 1. Force identification problem: A new algorithm is developed using a 1-D waveguide, involving an eight noded spectral finite element. The force identification is carried out, using a few measured responses on the structure, and using TSFEM we reconstruct the input force. This is followed by a portal frame example to demonstrate the wave reflection complexities. New procedures are developed to use various types of response data like displacement, velocity, acceleration, and strain to identify the force. 2. Material identification problem: A new procedure making use of the developed TSFEM, few responses, and nonlinear least square techniques are used to determine the material properties. Also, we show the case, in which we derive the material properties without force input consideration. 3. Crack location detection problem: A new procedure is developed using TSFEM and mechanics of crack. Three methods are described, in which the first method uses only responses and wave speeds to determine the location of the crack. In the second method, force reconstruction using the measured responses is carried out and this, in turn, is used to determine the location of the crack. The third method uses the residues of the actual force and the reconstructed forces using the healthy beam matrices and cracked beam responses. A new procedure to identify the crack location using a general force input pulse having many frequency components is also developed. 4. Material defect identification: Material defects like voids or density changes are identified using TSFEM. Location and magnitude of defect are identified using response computation and using the method of residues. 5. Porous location and identification in a composite material: TSFEM is used to construct a porous element and this is used along with a healthy beam to generate the responses. A force reconstruction algorithm is used to identify the location of the porous element. The Force residue method to identify the location of the defect is also demonstrated. Further, we make use of the material identification algorithm with a few modifications to evaluate all the parameters for the porous element.
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Слізков, А. М. "Розвиток наукових основ прогнозування фізико-механічних властивостей текстильних матеріалів побутового призначення." Thesis, 2010. https://er.knutd.edu.ua/handle/123456789/17075.

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Дисертацію присвячено вирішенню актуального науково-прикладного завдання для підприємств легкої та текстильної промисловості – прогнозуванню фізико-механічних властивостей текстильних матеріалів та розробці нових методів та засобів визначення структури та властивостей текстильних матеріалів. Розвинуто положення теорії систем, за допомогою яких розроблено метод прогнозування властивостей текстильних матеріалів. Отримано математичні моделі властивостей текстильних матеріалів від особливостей структури та властивостей похідних матеріалів на кожному етапі їх виробничого перетворення. Побудовано загальну математичну модель системи прогнозування властивостей текстильних матеріалів (СПВТМ) у процесі їх виробництва. Розроблено науковий підхід до прогнозування властивостей текстильних матеріалів з використанням методів ідентифікації. Розроблено програмний комплекс прогнозування властивостей текстильних матеріалів залежно від структури та властивостей похідних матеріалів У роботі розроблено класифікацію методів визначення структури волокнистих продуктів. Теоретично обґрунтовано застосування електрохвильового методу оцінки структури волокнистих матеріалів та розроблено новий резонансний метод і пристрій для її оцінки. Отримано емпіричні залежності зміни резонансної частоти резонатора від особливостей структури текстильних матеріалів. Розроблено метод оцінки здатності текстильних ниток до переробки; метод та пристрій для оцінки незминальності текстильних полотен; запропоновано експресний термогравікалориметричний (ТГК) метод оцінки мікро- та макропористої структури текстильних полотен. Результати роботи свідчать про можливість широкого застосування методології побудови СПВТМ для прогнозування властивостей текстильних матеріалів різного призначення.
Диссертация посвящена решению актуальной научно-прикладной задачи для предприятий легкой и текстильной промышленности – прогнозированию физико-механических свойств текстильных материалов и разработке новых методов и средств определения структуры и свойств текстильных материалов. Разработан усовершенствованный метод и устройство оценки несминаемости текстильных полотен после неориентированного смятия, который больше соответствует эксплуатационным воздействиям. Разработанный метод и устройство позволяют определять несминаемость текстильных полотен разной структуры и более точно прогнозировать их формоустойчивость в условиях эксплуатации. На базе этого метода в сотрудничестве с АТ УкрНИИПВ был разработан ДСТУ 2994-95 «Метод определения несминаемости. Полотна трикотажные». Предложен комплексный экспрессный метод оценки микро- и макропористой структуры текстильных материалов, что позволяет достаточно точно прогнозировать гигиенические свойства текстильных материалов, проводить сравнительные исследования и оперативно разрабатывать новый ассортимент текстильных полотен. Результаты работы свидетельствуют о возможности применения методологии построения СПСТМ для прогнозирования свойств текстильных материалов различного назначения.
The dissertation is devoted to the decision of a urgent scientific – applied task for the enterprises of an easy and textile industry – forecasting of properties of textile materials both development of new methods and means of definition of structure and properties of textile materials. The rules(situation) of the theory of systems in forecasting properties of textile materials are advanced and the empirical dependences of properties of textile materials on features of structure and properties of derivative materials are received. The theoretical approach to forecasting properties of textile materials with use of methods of identification is developed. The software of system of forecasting of properties of textile materials is developed and the mathematical models of dependences of fibrous products from structure and properties of derivative materials are received. In work is theoretically proved and the resonant method of an estimation of structure and properties of textile materials is developed and the empirical dependences of change of resonant frequency of the resonator on features of structure of textile materials are received. The method of an estimation of ability to textile processing of strings is developed; a method and device of an estimation bend of textile cloths; the express method of an estimation mikro and makro of structure of textile cloths is offered.
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Book chapters on the topic "Material Property Identification"

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Bruce Hunter, R. "Science Based Identification Plant Genetic Material." In Intellectual Property Rights: Protection of Plant Materials, 93–99. Madison, WI, USA: Crop Science Society of America, Inc. American Society of Agronomy, Inc. Soil Science Society of America, Inc., 2015. http://dx.doi.org/10.2135/cssaspecpub21.c9.

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Ndambi, J. M., J. De Visscher, G. Van Vinckeroy, W. P. Dewilde, J. Vantomme, B. Peeters, M. A. Wahab, and G. De Roeck. "Material Property Assessment in Cracked Reinforced Concrete by Dynamic System Identification." In Material Identification Using Mixed Numerical Experimental Methods, 223–32. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1471-1_23.

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Considine, John M., and X. Tang. "Use of Bulge Test Geometry for Material Property Identification." In Conference Proceedings of the Society for Experimental Mechanics Series, 43–46. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62899-8_7.

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Vantomme, J., J. M. Ndambi, J. De Visscher, H. Sol, and W. P. De Wilde. "Complex Material Property Identification for Cement Matrix Composites by a Mixed Numerical-Experimental Method." In Material Identification Using Mixed Numerical Experimental Methods, 143–52. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-1471-1_15.

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Ma, Yunpeng. "Xixia Longcheng Special Materials Co., Ltd. v. Yulin Intellectual Property Bureau, Shenmu Tianyuan Chemical Co., Ltd. of Shaanxi Coal and Chemical Industry (Dispute over Administrative Resolution of Patent Rights): Identification and Resolution on Procedure Violations in Administrative Enforcement of Patent Law." In Library of Selected Cases from the Chinese Court, 337–45. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9136-5_35.

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"Inverse Identification of Material Property of Functionally Graded Materials." In Computational Inverse Techniques in Nondestructive Evaluation, 291–330. CRC Press, 2003. http://dx.doi.org/10.1201/9780203494486-12.

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"Inverse Identification of Material Property of Functionally Graded Materials." In Computational Inverse Techniques in Nondestructive Evaluation. CRC Press, 2003. http://dx.doi.org/10.1201/9780203494486.ch9.

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Dutta, Rajiv, and Pragati Sahai. "Nanoparticles for Bioremediation of Heavy Metal Polluted Water." In Research Anthology on Synthesis, Characterization, and Applications of Nanomaterials, 1241–63. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8591-7.ch052.

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The process of bioremediation can be intrinsic or natural attenuation, where the process of remediation happens on its own, or it can be extrinsic or bio-stimulated when it is incited with help of some growth productive conditions like addition of fertilizers or nanoparticles, the smallest active particles on the earth. Nanoparticles are charged entities with low activation energy and exhibiting quantum effects making the chemical reaction between the nanoparticle and surrounding feasible in lesser time, and they also exhibit surface plasmon resonance that helps in identification of toxic material in surrounding. Apart from these properties, their different shapes and sizes help in designing the environmental cleanup process as per the suitable conditions and requirements. Polluted water treatment is being done with the help of nanoparticles due to their property of being highly profitable as adsorbents and for filtration purposes.
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Dutta, Rajiv, and Pragati Sahai. "Nanoparticles for Bioremediation of Heavy Metal Polluted Water." In Biostimulation Remediation Technologies for Groundwater Contaminants, 220–48. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4162-2.ch013.

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The process of bioremediation can be intrinsic or natural attenuation, where the process of remediation happens on its own, or it can be extrinsic or bio-stimulated when it is incited with help of some growth productive conditions like addition of fertilizers or nanoparticles, the smallest active particles on the earth. Nanoparticles are charged entities with low activation energy and exhibiting quantum effects making the chemical reaction between the nanoparticle and surrounding feasible in lesser time, and they also exhibit surface plasmon resonance that helps in identification of toxic material in surrounding. Apart from these properties, their different shapes and sizes help in designing the environmental cleanup process as per the suitable conditions and requirements. Polluted water treatment is being done with the help of nanoparticles due to their property of being highly profitable as adsorbents and for filtration purposes.
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Bodnár, László, Péter Debreceni, and Ágoston Restás. "Fires at Wildland-urban interface in an observation plot in Hungary." In Advances in Forest Fire Research 2022, 512–16. Imprensa da Universidade de Coimbra, 2022. http://dx.doi.org/10.14195/978-989-26-2298-9_80.

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The Wildland- urban interface (WUI) is an area, where houses meet or intermingle with undeveloped wildland vegetation. The identification of these areas is not yet present in all countries. Although scientific research on this topic is still incomplete in Hungary, there are already initiatives and some results to identify WUI areas and analyse their risks. Authors examine the risk of WUI fires from two directions. On the one hand, wildland is a flammable fuel, so wildfires pose a direct threat to the built environment. The reason for this threat is that the residential buildings are located along the forest, which, as a combustible material, provides an opportunity for the spread of fire. This allows the fire to spread from the wildland vegetation to the populated area, endangering human life and property. Authors examine the characteristics of WUI fires in Hungary through analysis of observation plots. In the paper, authors present the direct and indirect interface WUI and analyse the risk of WUI fires by using GIS spatial analyses. Authors also analyse the combustible fuel, the number of fires, and the integrating housing density in the observation plot. Finally, they are preparing a legislative proposal to prevent WUI fires.
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Conference papers on the topic "Material Property Identification"

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Morris, Isabel, and Branko Glisic. "GPR attribute analysis for material property identification." In 2017 9th International Workshop on Advanced Ground Penetrating Radar (IWAGPR). IEEE, 2017. http://dx.doi.org/10.1109/iwagpr.2017.7996070.

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Tripathy, Sakya, Edward Berger, and Kumar Vemaganti. "AFM Indentation and Material Property Identification of Soft Hydrogels." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35451.

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There is growing evidence of the importance of mechanical deformations on various facets of cell functioning. This asks for a proper understanding of the cell’s characteristics as a mechanical system in different physiological and mechanical loading conditions. Many researchers use atomic force microscopy (AFM) indentation and the Hertz contact model for elastic material property identification under shallow indentation. For larger indentations, many of the Hertz assumptions are not inherently satisfied and the Hertz model is not directly useful for characterizing nonlinear elastic or inelastic material properties. We have used exponential hyperelastic material in FE simulations of the AFM indentation tests. A parameter identification approach is developed for hyperelastic material property determination from the simulated data. We collected AFM indentation data on agarose gel and developed a simple algorithm for contact point detection. The contact point correction improves the prediction of elastic modulus over the case of visual contact point identification. The modulus of 1% agarose gel was found to be about 15 kPa using the proposed correction, with mild but non-trival hardening with deeper indentation. The experimental data is compared with the results from the FE simulations and shows that over the hardening portion of the indentation response, our proposed parameter identification approach successfully captures the experimental data.
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Ge, Long, Nam Ho Kim, Gerald R. Bourne, and W. Gregory Sawyer. "Material Property Identification and Sensitivity Analysis Using Indentation and FEM." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99329.

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Mechanical properties of materials in small-scale applications, such as thin coatings, are often different from those of bulk materials due to the difference in the manufacturing process. Indentation has been a convenient tool to study the mechanical properties in such applications. In this paper, a numerical technique is proposed that can identify the mechanical properties by minimizing the difference between the results from indentation experiments and those from finite element analysis. First, two response surfaces are constructed for loading and unloading curves from the indentation experiment of a gold film on the silicon substrate. Unessential coefficients of the response surface are then removed based on the test statistics. Different from the traditional methods of identification, the tip geometry of the indenter is included because its uncertainty significantly affects the results. In order to validate the accuracy and stability of the method, the sensitivity of the identified material properties with respect to each coefficient is analyzed.
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Jin, Xiaoliang. "Identification of Process Damping Coefficient Based on Material Constitutive Property." In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-4204.

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The contact between the tool flank wear land and wavy surface of workpiece causes energy dissipation which influences the tool vibration and chatter stability during a dynamic machining process. The process damping coefficient is affected by cutting conditions and constitutive property of workpiece material. This paper presents a finite element model of dynamic orthogonal cutting process with tool round edge and flank wear land. The process damping coefficient is identified based on the energy dissipation principle. The simulated results are experimentally validated.
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Khulbe, Pramod K., and Terril Hurst. "In-situ identification of material property values for phase-change optical recording." In International Symposium on Optical Memory and Optical Data Storage. SPIE, 1999. http://dx.doi.org/10.1117/12.997625.

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Lee, SamLai. "Identification of Material Property Changes Due to Impact Testing by Ultrasonic Harmonic Measurement." In REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION. AIP, 2005. http://dx.doi.org/10.1063/1.1916837.

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Qiao, Pizhong, Wei Fan, and Fangliang Chen. "Material property assessment and crack identification of recycled concrete with embedded smart cement modules." In SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, edited by Masayoshi Tomizuka. SPIE, 2011. http://dx.doi.org/10.1117/12.882145.

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Ren, Weiju, David Cebon, and Steven M. Arnold. "Effective Materials Property Information Management for the 21st Century." In ASME 2009 Pressure Vessels and Piping Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/pvp2009-77314.

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This paper discusses key principles for the development of materials property information management software systems. There are growing needs for automated materials information management in various organizations. In part these are fuelled by the demands for higher efficiency in material testing, product design and engineering analysis. But equally important, organizations are being driven by the need for consistency, quality and traceability of data, as well as control of access to sensitive information such as proprietary data. Further, the use of increasingly sophisticated nonlinear, anisotropic and multi-scale engineering analyses requires both processing of large volumes of test data for development of constitutive models and complex materials data input for Computer-Aided Engineering (CAE) software. And finally, the globalization of economy often generates great needs for sharing a single “gold source” of materials information between members of global engineering teams in extended supply-chains. Fortunately, material property management systems have kept pace with the growing user demands and evolved to versatile data management systems that can be customized to specific user needs. The more sophisticated of these provide facilities for: (i) data management functions such as access, version, and quality controls; (ii) a wide range of data import, export and analysis capabilities; (iii) data “pedigree” traceability mechanisms; (iv) data searching, reporting and viewing tools; and (v) access to the information via a wide range of interfaces. In this paper the important requirements for advanced material data management systems, future challenges and opportunities such as automated error checking, data quality characterization, identification of gaps in datasets, as well as functionalities and business models to fuel database growth and maintenance are discussed.
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Serebrinsky, Santiago, Fábio Arroyo, Martín Valdez, and Ronaldo Silva. "Effect of Forming on Behavior of UOE Pipe Material." In ASME 2013 32nd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/omae2013-11395.

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The worldwide share of oil&gas produced from offshore sources is constantly increasing. Accordingly, deep and ultra-deep water projects go to ever increasing depths. Large diameter pipes for this type of projects are often manufactured by the UOE process. After the cold work associated with UOE forming, mechanical properties of pipe material are different from those of the original plate. In particular, the circumferential compression behavior is markedly affected by the Baushcinger effect which develops after the last expansion step, and this is a key property for the resistance to collapse under external pressurization. Standard formulas for the assessment of the collapse pressure pc variedly account for this effect. For instance, DNV OS-F101 penalizes the SMYS of the pipe with a fabrication factor αfab that reduces the pc rating of UOE pipes. Understanding the effect of deformation history on final material properties becomes desirable for a proper identification of processing strategies. A testing program was developed aimed at evaluating the effect of UOE forming on final transverse compression behavior, as it is relevant for collapse resistance. Work softening (i.e., the Bauschinger effect) and hardening were quantified under a variety of deformation operations.
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Rosen, David W. "A Set-Based Design Method for Material-Geometry Structures by Design Space Mapping." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46760.

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The objective of this work is a multiscale, set-based design method for mechanical components and their manufacturing processes and materials with interactive identification of feasible design regions. A unique aspect of the proposed method is the ability to adjust both material properties, through process planning, and part geometry, through exploration of various cellular structures (e.g., lattices, honeycombs), in order to achieve design goals. More specifically, the proposed design method can effectively explore the achievement of desired mechanical properties by controlling process conditions, material properties, and/or selecting appropriate feature configurations. Material process-property relationships and cellular structure structure-property relationships are modeled to create a comprehensive multiscale design space mapping database. Bayesian network classifiers enable real-time “inverse mapping” that identify feasible regions of the unit cell, feature, and process spaces, thus providing immediate feedback to the designer regarding the feasibility of the current component design. The design method is demonstrated on a class of mechanical components that are manufactured by electron-beam melting (EBM) in Ti-6Al-4V.
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Reports on the topic "Material Property Identification"

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Groeneveld, Andrew, and C. Crane. Advanced cementitious materials for blast protection. Engineer Research and Development Center (U.S.), April 2023. http://dx.doi.org/10.21079/11681/46893.

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Advanced cementitious materials, commonly referred to as ultra-high performance concretes (UHPCs), are developing rapidly and show promise for civil infrastructure and protective construction applications. Structures exposed to blasts experience strain rates on the order of 102 s-1 or more. While a great deal of research has been published on the durability and the static properties of UHPC, there is less information on its dynamic properties. The purpose of this report is to (1) compile existing dynamic property data—including compressive strength, tensile strength, elastic modulus, and energy absorption—for six proprietary and research UHPCs and (2) implement a single-degree-of-freedom (SDOF) model for axisymmetric UHPC panels under blast loading as a means of comparing the UHPCs. Although simplified, the model allows identification of key material properties and promising materials for physical testing. Model results indicate that tensile strength has the greatest effect on panel deflection, with unit weight and elastic modulus having a moderate effect. CEMTECmultiscale® deflected least in the simulation. Lafarge Ductal®, a commonly available UHPC in North America, performed in the middle of the five UHPCs considered.
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Gipson and Trahan. PR-369-08609-R01 Online Gas Meter Cleaning. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2010. http://dx.doi.org/10.55274/r0010711.

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To ensure proper operation and accuracy of Natural Gas meters, it is important that the meters and associated piping be maintained in a clean condition consistent with both manufacturer production and AGA report provisions. This can best be assured through a comprehensive diagnostic and in section program complete with efficient internal cleaning as required. The objective of this project was to provide a comparison between continuous chemical injection cleaning with the system remaining online and conventional manual disassembly and cleaning techniques with the system offline. Representative samples of fouling materials were collected from two designated meter locations for complete identification analysis and cleaning product screening. The results from these tests are intended to assist in selecting the most effective product for the online cleaning method.
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