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Novel Sustainable Grease Developed From Waste Cooking Mustard Oil and Garlic Oil: A Study of Rheological and Extreme Pressure Properties

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Journal of Tribology 2025年第6期147卷 064502页

作者： Malik, Aamir Hameed Khan, M. Jebran Wani, Mohd Farooq Parray, Mohammad Arif Saleem, Sheikh Shahid Department of Metallurgical and Materials Engineering National Institute of Technology Srinagar Kashmir 190006 India Department of Mechanical Engineering SSM College of Engineering Pattan Baramulla Kashmir 193121 India Department of Mechanical Engineering Islamic University of Science and Technology Awantipora Kashmir 192122 India Tribology Laboratory National Institute of Technology Srinagar Kashmir 190006 India https://***/03sfwvw54National Institute of Technology Srinagar Tribology Laboratory National Institute of Technology Srinagar Kashmir 190006 India

The rheological and tribological performances of waste cooking oil (WCO)-based novel sustainable grease with garlic oil as an extreme pressure (EP) additive were examined according to the ASTM standards (ASTM D1092 and ASTM D2783) using a four-ball tester. The commercially available lithium-based grease served as a reference grease for comparing and evaluating the rheological and tribological properties of the WCO-based greases. The addition of 6% garlic oil as an EP additive increased the weld load of WCO-based sustainable grease from 1560 N to 2450 N. The average wear scar diameter of WCO-based and WCO + (GO + 6 wt%) grease is reduced by 13.87% and 19.30%, respectively, compared to that of commercial (MIDCO AP-3) grease. Furthermore, the viscosity and shear stress of WCO-based grease increased with higher thickener concentrations, achieving rheological performance comparable to commercial grease. It is envisaged that garlic oil-filled grease with WCO as base oil will not only have good lubricating properties but will also pose minimum environmental hazards.

关键词： Viscosity viscosity Pressure waste cooking oil sustainable grease extreme pressure properties lubricants grease lubrication wear Stress Sustainability Wear Thickening agents Rheology Tribology garlic oil tribological systems

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Creating semi-Quanta multi-layer synthetic CNT images using CycleGAN

Creating semi-Quanta multi-layer synthetic CNT images using ...

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Applied Imagery Pattern Recognition Workshop (AIPR)

作者： Kaveh Safavigerdini Ramakrishna Surya Andrew Reinhard Zach Quinlan Filiz Bunyak Matthew R. Maschmann Kannappan Palaniappan Department of Electrical Engineering and Computer Science University of Missouri Columbia Mo USA Department of Mechanical & Aerospace Engineering University of Missouri Columbia Mo USA MU Materials Science and Engineering Institute University of Missouri Columbia Mo USA

We address the challenge of creating semi-Quanta images of vertically-oriented carbon nanotubes (CNT). Our previous method, CNTNeXt, successfully predicted the mechanical properties for semi-Scanning Electron Microscopy (SEM) images of CNT forests. However, for Quanta images, a more sophisticated approach is required. We propose a novel pipeline that modifies multi-layer synthetic (MLS) CNT images, which are synthetic representations of CNT structures, to resemble Quanta images. This is achieved using CycleGAN, a deep learning model designed for image-to-image translation tasks, which can learn mappings between two different domains without paired training data. By training the CycleGAN on both Quanta and MLS images, we are able to transfer the texture of Quanta images to the MLS images. The resulting ’semi-Quanta’ images are ready to train CNTNeXt, which effectively predicts the mechanical properties, including buckling load and stiffness of synthetic MLS images. Our method represents an advancement towards our ultimate goal of creating an automated CNT growth process, and opens up possibilities for further improvements and applications.

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Ammonium Sensing Patch with Ultrawide Linear Range and Eliminated Interference for Universal Body Fluids Analysis

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Nano-Micro Letters 2025年第4期17卷 332-346页

作者： Mingli Huang Xiaohao Ma Zongze Wu Jirong Li Yuqing Shi Teng Yang Jiarun Xu Shuhan Wang Kongpeng Lv Yuanjing Lin School of Microelectronics Southern University of Science and TechnologyShenzhen 518055People’s Republic of China Department of Interventional Radiology Shenzhen People’s HospitalShenzhen 518020People’s Republic of China College of Mechanical and Energy Engineering Shaoyang UniversityShaoyang 422000HunanPeople’s Republic of China Shenzhen Hainwise Medical Technology Co. LTDShenzhen 518118People’s Republic of China Shenzhen Institute for Drug Control(Shenzhen Testing Center of Medical Devices) Shenzhen 518000People’s Republic of China Institute of Innovative Materials Guangming Advanced Research InstituteSouthern University of Science and TechnologyShenzhen 518055People’s Republic of China

Ammonium level in body fluids serves as one of the critical biomarkers for healthcare,especially those relative to liver *** continuous and real-time monitoring in both invasive and noninvasive manners is highly desired,while the ammonium concentrations vary largely in different body ***,the sensing reliability based on ion-selective biosensors can be significantly interfered by potassium *** tackle these challenges,a flexible and biocompatible sensing patch for wireless ammonium level sensing was reported with an ultrawide linear range for universal body fluids including blood,tears,saliva,sweat and *** as-prepared biocompatible sensors deliver a reliable sensitivity of 58.7 mV decade-1 in the range of 1-100 mM and a desirable selectivity coefficient of 0.11 in the interference of potassium ions,attributed to the cross-calibration within the sensors *** sensor’s biocompatibility was validated by the cell growth on the sensor surface(>80%),hemolysis rates(<5%),negligible cellular inflammatory responses and weight changes of the mice with implanted *** biocompatible sensors with ultrawide linear range and desirable selectivity open up new possibility of highly compatible biomarker analysis via different body fluids in versatile approaches.

关键词： Biocompatible sensors Implantable bioelectronics Ammonium sensing Cross-calibration Ultrawide linear range

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Exploring Nanoscale Photoresponse Mechanisms for Enhanced Photothermoelectric Effects in van der Waals Interfaces

arXiv

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arXiv 2024年

作者： Xu, Da Liu, Qiushi Liang, Boqun Yu, Ning Ma, Xuezhi Xu, Yaodong Taniguchi, Takashi Lake, Roger K. Yan, Ruoxue Liu, Ming Department of Electrical and Computer Engineering University of California - Riverside RiversideCA92521 United States Department of Chemical and Environmental Engineering University of California - Riverside RiversideCA92521 United States International Center for Materials Nanoarchitectonics National Institute for Materials Science Ibaraki Tsukuba305-0044 Japan Materials Science and Engineering Program University of California - Riverside RiversideCA92521 United States

Integrated photodetectors are crucial for their high speed, sensitivity, and efficient power consumption. In these devices, photocurrent generation is primarily attributed to the photovoltaic (PV) effect, driven by electron-hole separations, and the photothermoelectric (PTE) effect, which results from temperature gradients via the Seebeck effect. As devices shrink, the overlap of these mechanisms—both dependent on the Fermi level and band structure—complicates their separate evaluation at the nanoscale. This study introduces a novel 3D photocurrent nano-imaging technique specifically designed to distinctly map these mechanisms in a Schottky barrier photodiode featuring a molybdenum disulfide and gold (MoS2-Au) interface. We uncover a significant PTE-dominated region extending several hundred nanometers from the electrode edge, a characteristic facilitated by the weak electrostatic forces typical in 2D materials. Unexpectedly, we find that incorporating hexagonal boron nitride (h-BN), known for its high thermal conductivity, markedly enhances the PTE response. This counterintuitive enhancement stems from an optimal overlap between thermal and Seebeck profiles, presenting a new pathway to boost device performance. Our findings highlight the capability of this imaging technique to not only advance optoelectronic applications but also to deepen our understanding of light-matter interactions within low-dimensional systems. © 2024, CC BY.

关键词： Van der Waals forces

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Influence of Spattering on In-process Layer Surface Roughness during Laser Powder Bed Fusion

arXiv

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arXiv 2023年

作者： Zhang, Haolin Vallabh, Chaitanya Krishna Prasad Zhao, Xiayun ZIP-AM Lab Department of Mechanical Engineering and Materials Science University of Pittsburgh PittsburghPA15213 United States Department of Mechanical Engineering Stevens Institute of Technology HobokenNJ07030 United States

Laser powder bed fusion (LPBF) based additive manufacturing (AM) holds great promise to efficiently produce high-performance metallic parts. However, LPBF processes tend to incur stochastic melt pool (MP) spattering, which would roughen workpiece in-process surface, thus weakening inter-layer bonding and causing issues like porosity, powder contamination, and recoater intervention. Understanding the consequential effect of MP spattering on layer surface is important for LPBF process control and part qualification. Yet it remains difficult due to the lack of process monitoring capability for concurrently tracking MP spatters and characterizing layer surfaces. In this work, using our lab-designed LPBF-specific fringe projection profilometry (FPP) along with an off-axis camera, we quantitatively evaluate the correlation between MP spattering and in-process layer surface roughness for the first time to reveal the potential influence of MP spatters on process anomaly and part defects. Specifically, a method of automatically and accurately extracting and registering MP spattering metrics is developed by machine learning of the in-situ off-axis camera imaging data. Each image is analyzed to obtain the MP’s center location and the spatter count and ejection angle. These MP spatter signatures are registered for each monitored MP across each layer. Then, regression modeling is used to correlate each layer’s registered MP spatter signature and its processing parameters with the layer’s surface topography measured by the in-situ FPP. We find that the attained MP spatter feature profile can help predict the layer’s surface roughness more accurately (> 50% less error), in contrast to the conventional approaches that would only use nominal process setting without any insight of real process dynamics. This is because the spatter information can reflect key process changes including the deviations in actual laser scan parameters and their effects. The results also corroborate the im

关键词： Surface roughness

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Part-Scale Prediction on Macrostructural Evolution of Aermet100 Steel During Wire-Arc Directed Energy Deposition

SSRN

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SSRN 2024年

作者： Lu, Yanfei Huang, Shengquan Wang, Guilan Zhang, Haiou Fu, Youheng Chen, Xi Wang, Kai Zhao, Xushan Zhang, Mingbo School of Materials Science and Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China School of Aeronautics Harbin Institute of Technology Heilongjiang Harbin150001 China School of Mechanical Science and Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China School of Aerospace Engineering Huazhong University of Science and Technology Hubei Wuhan430074 China

In the additive manufacturing (AM) industry, in order to control the macro/microstructure of manufactured parts to gain excellent mechanical properties, understanding the macro/microstructural evolution during the AM process is essential. Herein, a method consists of finite element (FE) models and additivity rule was proposed to predict and understand the equiaxation in a multi-pass multi-layer wire-arc directed energy deposition (wire-arc DED) process of ultrahigh-strength steel AerMet100. The predicted results fit the experimental metallographic macrostructure well, and the comprehensive effects of heat input, heat accumulation, and geometric factors on the equiaxation and refinement of prior austenite grains (PAGs) were discussed. Further improvements for the current predictive model were also discussed. © 2024, The Authors. All rights reserved.

关键词： Forecasting

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IIT Bombay Racing Driverless: Autonomous Driving Stack for Formula Student AI

arXiv

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arXiv 2024年

作者： Rampuria, Yash Boliya, Deep Gupta, Shreyash Iyengar, Gopalan Rohilla, Ayush Vyas, Mohak Langde, Chaitanya Chanda, Mehul Vijay Matai, Ronak Gautam Namitha, Kothapalli Pawar, Ajinkya Biswas, Bhaskar Agarwal, Nakul Khandelwal, Rajit Kumar, Rohan Agarwal, Shubham Patel, Vishwam Rathore, Abhimanyu Singh Rahman, Amna Mishra, Ayush Tangri, Yash Indian Institute of Technology Bombay Mumbai India Department of Mechanical Engineering IIT Bombay India Department of Electrical Engineering IIT Bombay India Department of Metallurgical Engineering and Materials Science IIT Bombay India Department of Civil Engineering IIT Bombay India Department of Physics IIT Bombay India Department of Energy Science and Engineering IIT Bombay India Department of Computer Science and Engineering IIT Bombay India Department of Chemical Engineering IIT Bombay India

This work presents the design and development of IIT Bombay Racing’s Formula Student style autonomous race-car algorithm capable of running at the racing events of Formula Student-AI, held in the UK. The car employs a cutting-edge sensor suite of the compute unit NVIDIA Jetson Orin AGX, 2 ZED2i stereo cameras, 1 Velodyne Puck VLP16 LiDAR and SBG Systems Ellipse N GNSS/INS IMU. It features deep learning algorithms and control systems to navigate complex tracks and execute maneuvers without any human intervention. The design process involved extensive simulations and testing to optimize the vehicle’s performance and ensure its safety. The algorithms have been tested on a small scale, in-house manufactured 4-wheeled robot and on simulation software. The results obtained for testing various algorithms in perception, simultaneous localization and mapping, path planning and controls have been detailed. © 2024, CC BY-NC-SA.

关键词： Motion planning

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Orbital magnetization of a metal is not a bulk property in the mesoscopic regime

arXiv

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arXiv 2023年

作者： Moseni, Kevin Coh, Sinisa Materials Science and Engineering University of California Riverside RiversideCA92521 United States Mechanical Engineering University of California Riverside RiversideCA92521 United States

We find that, in the mesoscopic regime, modification of the material's surface can induce an extensive change of the material's magnetic moment. In other words, perturbation of order N2 atoms on the surface of a 3-dimensional solid can change the magnetic moment proportionally to N3. When the solid's surface is perturbed, it triggers two changes in the magnetization. One arises from variations of the electron wavefunction and energy, while the other arises from a modification in the kinetic angular momentum operator. In the macroscopic regime of our model, these two bulk effects cancel each other, resulting in no impact of the surface perturbation on the magnetization - consistent with prior work. In the mesoscopic regime, we find a departure from this behavior, as the cancelation of two terms is not complete. © 2023, CC BY.

关键词： Magnetic moments

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Low-field-induced spin-glass behavior and controllable anisotropy in nanoparticle assemblies at a liquid-air interface

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science China materials 2022年第1期65卷 193-200页

作者： Xiaoqi Liao Seda Ulusoy Rui Huang Erik Wetterskog Klas Gunnarsson Yu Wang Huawei Liang Yu-Jia Zeng German Salazar-Alvarez Peter Svedlindh College of Physics and Optoelectronic Engineering Shenzhen UniversityShenzhen 518060China School of Materials Science and Engineering Hanshan Normal UniversityChaozhou 521041China Solid State Physics Department of Materials Science and EngineeringAngstrom LaboratoryUppsala UniversityBox 3575103 UppsalaSweden MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter and State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China

Stacking nanoscale-building blocks into onedimensional(1D)assemblies with collective physical properties is a frontier in designing ***,the formation of 1D arrays using weak magnetic fields and an in-depth understanding of their magnetic properties remain ***,low-dimensional assemblies of iron oxide nanocubes with a disordered arrangement are fabricated at the diethylene-glycol/air interface in the presence of assembly fields(0/1/3/5/30/50 mT).Ring-shaped assemblies gradually transform as the assembly field increases from 0 to 50 mT,first to a porous network consisting of elongated assemblies and then to an aligned array of filaments,in which the aligned filaments are formed when the assembly field is≥3 mT and duration t>14 ***-glass characteristics and static(dynamic)anisotropy factors~2(3)are achieved by tuning the strength of the assembly *** the presence of a relatively weak assembly field,the interplay between dipolar interactions and disorder with respect to magnetic easy axis alignment leads to spin-glass *** alignment of the magnetic easy axes and the strength of the dipolar interactions increase with increasing assembly field,resulting in the disappearance of spin-glass characteristics and enhancement of the magnetic *** study presents a strategy for obtaining magnetic assemblies with spin-glass behavior and controllable anisotropy while shedding light on the magnetic interactions of low-dimensional assemblies.

关键词： magnetic nanoparticles assembly anisotropy spin glass

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Enhancing Plasticity in BCC Mg-Li-Al Alloys Through Controlled Precipitation at Grain Boundaries

SSRN

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SSRN 2024年

作者： Ji, Fan Xin, Tongzheng Zhao, Yuhong Yang, Wenkui Bai, Guoning Tang, Song Guo, Enyu Zhou, Mengran Shi, Qingyu Cui, Luqing Chen, Long-Qing He, Binbin Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen518055 China Instrumental Analysis Center Dalian University of Technology Dalian116024 China School of Materials Science and Engineering Dalian University of Technology Dalian116024 China Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology Beijing Beijing100083 China School of Materials Science and Engineering Collaborative Innovation Center of Ministry of Education Shanxi Province for High-performance Al/Mg Alloy Materials North University of China Taiyuan030051 China Institute of Materials Intelligent Technology Liaoning Academy of Materials Shenyang110004 China Herbert Gleiter Institute of Nanoscience School of Materials Science and Engineering Nanjing University of Science and Technology Jiangsu210094 China State Key Laboratory of Clean and Efficient Turbomachinery Power Equipment Department of Mechanical Engineering Tsinghua University Beijing100084 China Key Laboratory for Advanced Materials Processing Technology Ministry of Education Beijing100084 China The National Key Laboratory of Aerospace Power System and Plasma Technology Xi'an Jiaotong University Xi’an710049 China School of Mechanical Engineering Xi'an Jiaotong University Xi’an710049 China Department of Materials Science and Engineering The Pennsylvania State University University ParkPA16802 United States

This study investigates the improvement of plasticity in body-centered cubic magnesium (Mg)-lithium (Li)-aluminum (Al) alloys, crucial for lightweight structural applications. The ternary Mg-Li-Al alloys exhibits high strength but low ductility. Precipitates at grain boundaries in these alloys, linked to reduced plasticity, are examined for their crystal structure and composition. Advanced microscopic techniques reveal the transformation of precipitates and the development of specific structures at grain boundaries. Thermodynamics of element diffusion at grain boundaries are explored through first-principles calculations, and a phase-field simulation models precipitate evolution. Molecular dynamics simulations elucidate nanoscale mechanisms governing the transition from brittle to ductile fracture modes during artificial aging. The D03-Mg3Al at grain boundaries is a brittle phase, and through a 170°C aging treatment, it induces the precipitation of lamellar α-Mg phase with D03-Mg3Al as nucleation sites. The occupancy energy of Al atoms at Li sites in α-Mg is found to be lower than that in D03-Mg3Al, leading to the dissolution of D03-Mg3Al. The α-Mg, characterized by a stronger metallic nature, exhibits a better-matched modulus with the matrix and enhanced dislocation mobility. The precipitation of α-Mg plays a pivotal role in significantly improving the ductility of the alloy. This work contributes to the understanding of the complex interplay between alloy composition, grain boundary precipitates, and plasticity, as well as brings insights to guide interfacial control in the development of advanced Mg-Li-Al alloys for structural applications. © 2024, The Authors. All rights reserved.

关键词： Grain boundaries

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