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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Zheng, Hanyu Liu, Quan Zhou, You Kravchenko, Ivan I. Huo, Yuankai Valentine, Jason Department of Electrical and Computer Engineering Vanderbilt University NashvilleTN37212 United States Department of Computer Science Vanderbilt University NashvilleTN37212 United States Department of Mechanical Engineering Vanderbilt University NashvilleTN37212 United States Interdisciplinary Materials Science Program Vanderbilt University NashvilleTN37212 United States Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak RidgeTN37830 United States

A meta-optic platform for accelerating object classification is demonstrated. End-to-end design is used to co-optimize the optical and digital systems resulting in a high-speed and robust classifier with 93.1% accurac...

ISBN: (纸本)9781957171258

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Uncertainty Quantification and Propagation for Multiscale materials Systems with Agglomeration and Structural Anomalies

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SSRN 2024年

作者： Comlek, Yigitcan Mojumder, Satyajit van Beek, Anton Prabhune, Prajakta Ciampaglia, Alberto Apley, Daniel W. Brinson, L. Catherine Liu, Wing Kam Chen, Wei Department of Mechanical Engineering Northwestern University Evanston United States Theoretical and Applied Mechanics Program Northwestern University Evanston United States School of Mechanical and Materials Engineering University College Dublin Dublin Ireland Thomas Lord Department of Mechanical Engineering and Materials Science Duke University Durham United States Department of Mechanical and Aerospace Engineering Politecnico di Torino Turin Italy Department of Industrial Engineering and Management Sciences Northwestern University Evanston United States

Advancements in manufacturing technologies have enabled material system design optimization at multiple length scales. However, the microstructural anomalies and uncertainties present at each scale have not been considered comprehensively enough for systems to be robust to manufacturing variations. Consequently, considering anomalies at various length scales of the material’s structure and understanding their effects on a part’s response are crucial for designing engineered parts that are robust to various sources of uncertainty. In this work, an efficient bottom-up hierarchical uncertainty quantification and propagation framework bridging multiple scales to establish a design allowable range for the material system at the part-scale is presented. We demonstrate our framework on an additively manufactured polymer nanocomposite material system that is subject to anomalies at different length scales that impact the material properties. Specifically, agglomeration defects formed due to attractive forces between nanoparticles at the microscale and structural variabilities caused by the voids resulting from different processing conditions at the mesoscale are considered. The introduced hierarchical sampling framework combines (i) an innovative microstructure image characterization and reconstruction, (ii) a mechanistic reduced-order model that enables fast property predictions for high-dimensional microstructural design spaces, and (iii) efficient uncertainty quantification and propagation through Copula-based sampling across multiple length scales to reduce the sampling budget by 95%. Through validation of our method, we demonstrate the importance of considering the effects of process-induced microstructure features on the performance of a part. © 2024, The Authors. All rights reserved.

关键词： Microstructure

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Meta-optic accelerators for object classification

Meta-optic accelerators for object classification

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2023 Flat Optics: Components to Systems, FLatOptics 2023 in Optica Imaging Congress - Part of Imaging and Applied Optics Congress 2023

A meta-optic platform for accelerating object classification is demonstrated. End-to-end design is used to co-optimize the optical and digital systems resulting in high-speed classifiers that are demonstrated for hand... 详细信息

ISBN: (纸本)9781957171289

关键词： Imaging systems Machine vision Neural networks Optical components Optical neural systems Optical systems

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Development of educational software for stainless steel selection and evaluating usability using the System Usability Scale (SUS)

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International Journal of mechanical engineering Education 2024年

作者： Nery, Macclarck Pessoa dos Santos Neto, Severiano José Alves, Roberty Santos Santana, João Vitor dos Santos Griza, Sandro Martins, Carlos Otávio Damas Materials Science and Engineering Pos-graduation Program – p2cem from Federal University of Sergipe São Cristovão City Brazil Mechanical Engineering Department Federal University of Sergipe São Cristovão City Brazil Department of Materials Science and Engineering Federal University of Sergipe São Cristovão City Brazil

The use of educational technologies is an important part of the learning process. The development of educational apps and software is one of the pillars of this evolution in teaching. Material selection is one of the most important subjects in professional engineering education. Regarding materials used to manufacture products, the stainless steels are the most commonly used materials after traditional steels. In the industrial environment, fatigue, corrosion-fatigue, and stress corrosion cracking are three very important considerations in the selection of materials. This study evaluates the usability of educational software developed in Java using object-oriented programming using the System Usability Scale and compares it with results obtained from other educational technologies. © The Author(s) 2024.

关键词： Software testing

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Carbon nitride- and graphene-based materials for the photocatalytic degradation of emerging water pollutants

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materials Advances 2024年第7期5卷 2668-2688页

作者： Indra Jaya Budiarso Valentinus Alphano Dabur Riska Rachmantyo Hermawan Judawisastra Chechia Hu Arie Wibowo Master Program in Materials Science and Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Ganesha 10 Bandung 40132 West Java Indonesia Doctoral Program in Materials Science and Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Ganesha 10 Bandung 40132 West Java Indonesia Materials Science and Engineering Faculty of Mechanical and Aerospace Engineering Institut Teknologi Bandung Ganesha 10 Bandung 40132 West Java Indonesia ariewibowo@itb.ac.id Department of Chemical Engineering National Taiwan University of Science and Technology Taipei 106 Taiwan R&D Center for Membrane Technology Chung Yuan Christian University Taoyuan 320 Taiwan Research Center for Nanoscience and Nanotechnology Institut Teknolgi Bandung Ganesha 10 Bandung 40132 West Java Indonesia

Photocatalytic degradation is a promising way to treat emerging pollutants in wastewater. Recently, metal-free photocatalysts such as carbon nitride- and graphene-based materials have attracted much interest in the photocatalytic degradation of emerging water pollutants owing to their visible light activity and unique electrical properties, respectively. Graphitic carbon nitride (GCN) is considered a superior visible light–active photocatalyst because of its suitable bandgap (2.7 eV). Moreover, the facile synthesis process and the high chemical and thermal stability of GCN make it one of the research hotspots in photocatalytic wastewater treatment. Besides GCN, graphene and its derivatives are utilized to support main photocatalysts by enhancing their light absorption, pollutant adsorption, and photogenerated charge separation. Furthermore, the vast modification of these materials has promoted various outstanding performances in carbon nitride- and graphene-based photocatalysts in the application of pollutant degradation. In this review, we highlight recent developments in carbon nitride- and graphene-based photocatalysts (2018–2023), focusing on the strategies to improve the activity of GCN as a visible light–active photocatalyst and the role of graphene and its derivatives as supporting materials in wastewater pollutant remediation applications.

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An application of conjugate gradient technique for determination of thermal conductivity as an inverse engineering problem 3

An application of conjugate gradient technique for determina...

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3rd International Conference on Advances in mechanical engineering and Nanotechnology, ICAMEN 2021

作者： Pandey, Vivek Bekele, Addisu Ahmed, Gulam Mohammed Sayeed Jee Kanu, Nand Singh, Gyanendra Kumar Department of Thermal and Aerospace Engineering School of Mechanical Chemical and Materials Engineering Adama Science and Technology University Adama Ethiopia Centre of Excellence for Advanced Manufacturing Engineering Program of Mechanical Design and Manufacturing Engineering School of Mechanical Chemical and Materials Engineering Adama Science and Technology University Adama Ethiopia Department of Mechanical Engineering S. V. National Institute of Technology Surat India Department of Mechanical Design and Manufacturing Engineering School of Mechanical Chemical and Materials Engineering Adama Science and Technology University Adama Ethiopia

Inverse problems frequently occur when boundary conditions/thermal properties of a material are unknown, and are determined from known internal temperature measurements. A direct problem is the opposite of an inverse problem. For example, it would be the task of determining the temperature field within a material body, given boundary conditions and thermal properties. In an ill-posed, inverse problem, small variations in internal temperature measurement cause large variations in the estimated quantity such as boundary heat flux. Measured temperature variations may be due to noise, measurement error and instrumentation error, among other factors. There are various methods for solving inverse problems in materials engineering. In the paper, an inverse problem of estimating boundary heat flux for one-dimensional heat conduction is solved using the classical method of Beck and temperature dependent thermal conductivity is estimated using the more recent and advanced Conjugate Gradient method (CGM). The temperature values from the finite difference application to a direct heat transfer problem are used along with noise added to the data, in order to simulate real world, experimental conditions. The data is applied to the inverse problem of finding boundary heat flux and thermal conductivity. It is seen that Conjugate Gradient Method (CGM) along with sequential function specification method recovers the boundary heat flux and thermal conductivity quite accurately for noise levels of 1% and 2%. It is further observed that addition of future time steps stabilize the algorithm and increase accuracy of the desired results. It is also observed that CGM can recover the temperature dependent thermal conductivity quickly within few iterations, for different values of thermal conductivity function coefficients, k0and k1. CGM is found to be fast and robust when applied to one-dimensional case and can be extended to complex geometries. © 2021 Elsevier Ltd.

关键词： Inverse problems

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Cr-modified CuAlBe shape memory alloy: Role of microstructure, thermodynamic parameters, superelasticity, dissipated energy and corrosion resistance

Journal of Alloys and Metallurgical Systems

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Journal of Alloys and Metallurgical Systems 2024年 7卷

作者： Silva, David D.S. Candido, Gemierson V.M. Alves, Ricardo F. Dias, Elisabeth A.M.G.S. Oliveira, Danniel F. Federal University of São Carlos Graduate Program in Materials Science and Engineering SP São Carlos13565-905 Brazil Colorado School of Mines George S. Ansell Department of Metallurgical and Materials Engineering GoldenCO80401 United States Federal University of Paraíba Graduate Program in Mechanical Engineering PB João Pessoa58051-900 Brazil Federal University of Rio Grande do Norte Graduate Program in Materials Science and Engineering RN Natal59078-970 Brazil Federal University of Paraíba Graduate Program in Materials Science and Engineering PB João Pessoa58051-900 Brazil

This study reports the effects of Cr addition on the microstructure, superelasticity and corrosion resistance improvement of CuAlBe shape memory alloy. Analysis via structural, morphological, thermal, mechanical and electrochemical characterizations were performed. The analyses revealed austenite as the stable phase at room temperature for all samples. The increase in the Cr content caused a slight increase in the recovery rate and dissipated energy. Electrochemical results demonstrate that a small addition of Cr (0.1–0.3 wt%) increase the corrosion resistance due the decreases of the corrosion current density and increase of the corrosion potential. © 2024 The Authors

关键词： Corrosion resistance

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Reconfiguring Surface Acoustic Wave Microfluidics via In Situ Control of Elastic Wave Polarization

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Physical Review Letters 2025年第3期134卷 037002-037002页

作者： Yu Gao (郜煜) Thomas Voglhuber-Brunnmaier Yuekang Li Leyla Akh Nicholas H. Patino Apresio Kefin Fajrial Massimo Ruzzene Bernhard Jakoby Xiaoyun Ding Paul M. Rady Department of Mechanical Engineering University of Colorado Boulder Colorado 80309 USA Institute for Microelectronics and Microsensors Johannes Kepler University Linz Austria Biomedical Engineering Program University of Colorado Boulder Colorado 80309 USA Materials Science and Engineering Program University of Colorado Boulder Colorado 80309 USA BioFrontiers Institute University of Colorado Boulder Colorado 80309 USA

We demonstrate in situ control of the elastic wave polarization in a surface acoustic wave (SAW). It allows us to create highly reconfigurable SAW microfluidics that can be switched on demand between the acoustohydrodynamic (AHD) regime and electrohydrodynamic (EHD) regime for manipulating particles and cells. The control of wave polarization comes from our experimental and theoretical identification of an unexpected shear-horizontal (SH) wave mode in a conventional Rayleigh (R) wave design, which is stereotyped to excite only vertically polarized Rayleigh SAWs. The SH wave mode is predominantly horizontally polarized and can be selectively excited to propagate in the same direction as the Rayleigh SAW. Such a selective wave generation between the SH mode and R mode allows for reconfiguration between AHD and EHD regimes that leads to unprecedented colloidal patterns and assembly dynamics. Such a reconfiguration of the particle manipulation mechanism can be explained by the controllable competition or synergism between the coexisting acoustic and electric fields. Remarkably, in the EHD regime, a virtual zero-boundary electric quadrupole is created, and a novel colloidal diamond-shaped assembly is observed in this piezoelectric-quadrupole trap, which was rarely reported in acoustic or electric microfluidics. The presented in situ control of polarization revolutionizes our understanding of SAW and acoustofluidics, expands its potential by assuming the advantages of AHD and EHD on demand, and inspires new strategies in micro- and nanoscale manufacturing and manipulation, with applications beyond fundamental scientific interest.

关键词： Microfluidics

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Moderate-Refractive-Index Mie Resonators for Versatile Modulation of Two-Dimensional Excitons

Moderate-Refractive-Index Mie Resonators for Versatile Modul...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Jie Fang Yuebing Zheng Materials Science & Engineering Program and Texas Materials Institute The University of Texas at Austin Austin TX USA Walker Department of Mechanical Engineering The University of Texas at Austin Austin TX USA

By coupling well-designed moderate-refractive-index Mie resonators to monolayer semiconductors, we have demonstrated efficient modulation of two-dimensional excitons in multiple dimensions: far-field excitonic radiati... 详细信息

ISBN: (纸本)9781957171258

关键词： Excitons Mie resonances Mie theory Optical resonators Refractive index Semiconductors

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Optothermal multimodal manipulation of micro/nanoparticles

Optothermal multimodal manipulation of micro/nanoparticles

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Conference on Lasers and Electro-Optics (CLEO)

作者： Hongru Ding Pavana Siddhartha Kollipara Kan Yao Yuebing Zheng Walker Department of Mechanical Engineering The University of Texas at Austin Austin TX USA Materials Science & Engineering Program and Texas Materials Institute The University of Texas at Austin Austin TX USA

We report a new optical platform to achieve on-demand multimodal manipulation of micro/nanoparticles by a synergy of optical and thermal forces.

ISBN: (纸本)9781957171258

We report a new optical platform to achieve on-demand multimodal manipulation of micro/nanoparticles by a synergy of optical and thermal forces.

关键词： Laser beams Nanoparticles Optical force Optical manipulation Optical tweezers Spatial resolution

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