Mechanical Engineering Commons^™

Effect Of Variation Of Sic Mass Fraction On Mechanical Properties Of Al-Sic Composite Using Stir Casting Method, Sumarji Sumarji, Naufal Fardio Albajili, Mahros Darsin, Rahma Rei Sakura, Andi Sanata

Journal of Mechanical Engineering Science and Technology (JMEST)

Al-SiC is a composite composed of AA6061 as a matrix and SiC as a reinforcement particle. The variation of mass added will affect the mechanical properties of the composite because Al-SiC is hardenable, which means that its mechanical properties can be improved by adding the reinforcement component. However, an excessive portion of SiC leads to a decrease in mechanical properties. The purpose of this study was to find the optimal composition of the addition of SiC into the aluminium matrix to gain maximum tensile strength and hardness. The mass fraction variation that would be used in this composite was the …

Effect Of Homogenization Pressure On Bacterial Cellulose Membrane Characteristic Made From Pineapple Peel Waste, Muhamad Muhajir, Heru Suryanto, Yanuar Rohmat Aji Pradana, Uun Yanuhar

Journal of Mechanical Engineering Science and Technology (JMEST)

Many studies were conducted to maintain the environment by reducing the waste, especially pineapple peel waste. This study aims to explore the effect of various pressure of the homogenization process on bacterial cellulose membrane surface morphology and structure produced using extract of pineapple peel waste. The methods include the preparation of pellicle samples from the product of the fermentation process of Acetobacter xylinum using a medium from the extract of pineapple peel waste. Bacterial cellulose pellicles were crushed using a blender. Mashed bacterial cellulose pellicle was homogenized in High-Pressure Homogenizer with pressure variation of 150 bar, 300 bar, 450 bar, …

Machine Vision For The Various Road Surface Type Classification Based On Texture Feature, Susi Marianingsih, Widodo Widodo, Marla Sheilamita S. Pieter, Evanita Veronica Manullang, Hendry Y. Nanlohy

Journal of Mechanical Engineering Science and Technology (JMEST)

The mechanized ability to specify the way surface type is a piece of key enlightenment for autonomous transportation machine navigation like wheelchairs and smart cars. In the present work, the extracted features from the object are getting based on structure and surface evidence using Gray Level Co-occurrence Matrix (GLCM). Furthermore, K-Nearest Neighbor (K-NN) Classifier was built to classify the road surface image into three classes, asphalt, gravel, and pavement. A comparison of KNN and Naïve Bayes (NB) was used in present study. We have constructed a road image dataset of 450 samples from real-world road images in the asphalt, gravel, …

Gasohol Engine Performance With Various Ignition Timing, Hendry Y. Nanlohy, Suyatno Suyatno, Helen Riupassa, Marthina Mini, Trismawati Trismawati, Mebin Panithasan

Journal of Mechanical Engineering Science and Technology (JMEST)

Experimental research has been conducted on the effect of ignition timings on the characteristics and performance of gasohol engines such as power, torque, specific fuel consumption, and thermal efficiency. The fuel used in this research is pure gasoline and a mixture of 50% bioethanol (BE50). The results show that the ignition timing that gives the maximum effect occurs at the top and bottom dead points of 9 degrees for gasoline and 12 degrees for BE50 fuel. Furthermore, the maximum power is obtained at 6,500 rpm, and at an ignition time of 12 degrees BTDC the maximum power generated is 4.63 …

Run-To-Run Control Via Constrained Optimization Of A Mechanical Serial-Sectioning System, Damian L. Gallegos-Patterson

Mechanical Engineering ETDs

This thesis develops a methodology for run-to-run (R2R) control of a mechanical serial sectioning (mss) system for microstructural investigations. mss is a destructive material characterization process which repeatedly removes a thin layer of material and images the exposed surface. The images are then used to gain insight into the internal structure and arrangement of a material and are often used to generate a 3-dimensional (3D) reconstruction of the sample. Currently, an experienced human operator selects the parameters for mss to achieve the desired per slice removal rate. The proposed R2R control methodology automates this process while improving the precision and …

An Algorithm For Task Allocation And Planning For A Heterogeneous Multi-Robot System To Minimize The Last Task Completion Time, Abhishek Patil, Jungyun Bae, Myoungkuk Park

Michigan Tech Publications, Part 1

This paper proposes an algorithm that provides operational strategies for multiple heterogeneous mobile robot systems utilized in many real-world applications, such as deliveries, surveillance, search and rescue, monitoring, and transportation. Specifically, the authors focus on developing an algorithm that solves a min-max multiple depot heterogeneous asymmetric traveling salesperson problem (MDHATSP). The algorithm is designed based on a primal-dual technique to operate given multiple heterogeneous robots located at distinctive depots by finding a tour for each robot such that all the given targets are visited by at least one robot while minimizing the last task completion time. Building on existing work, …

Employing Boundary Element Approach With Genetic Algorithm To Increase Travel Range Of Repulsive Actuators, Yu Tian, Ronald N. Miles, Shahrzad Towfighian

Mechanical Engineering Faculty Scholarship

The design of repulsive electrostatic actuators having enlarged travel range is achieved by combining the boundary element approach and a genetic algorithm. The boundary element method enables calculating the electrostatic forces without time consuming finite element simulations. Once a static equation that uses a model of effective lumped mass solves the travel ranges, the GA maximizes travel ranges by optimizing the dimensional parameters. The effectiveness of the scheme is demonstrated with extensive experimental results showing the travel ranges of a micro out-of-plane actuator are increased by up to 190%. The developed platform can improve the signal-to-noise ratios and the performance …

Bbt Acoustic Alternative Top Bracing Cadd Data Set-Norev-2022jun28, Bill Hemphill

STEM Guitar Project’s BBT Acoustic Kit

This electronic document file set consists of an overview presentation (PDF-formatted) file and companion video (MP4) and CADD files (DWG & DXF) for laser cutting the ETSU-developed alternate top bracing designs and marking templates for the STEM Guitar Project’s BBT (OM-sized) standard acoustic guitar kit. The three (3) alternative BBT top bracing designs in this release are
(a) a one-piece base for the standard kit's (Martin-style) bracing,
(b) 277 Ladder-style bracing, and
(c) an X-braced fan-style bracing similar to traditional European or so-called 'classical' acoustic guitars.

The CADD data set for each of the three (3) top bracing designs includes …

Thermal Analysis Of The Temperature Gradient Across Pintle Injector Face, Zoe Brand

Discovery Day - Prescott

Proper analysis of the temperature gradient across the pintle injector face is a complicated surface to acquire a reading from. Complications arise from the extreme temperatures seen on the combustion side mixed with the ambient temperatures seen on the fuel side of the injector. The orientation of temperature sensor placement is critical to mitigate hot spots and not disrupt the thermal flow through the injector face. The installment of the temperature sensors is also a critical issue since a new medium would need to be added to keep the sensor in place. The goal of this research is to figure …

Effects Of Equivalence Ratio During Shutdown Of A Rocket Engine On Hardware Longevity, Benjamin Black

Discovery Day - Prescott

During the shutdown or purge period after firing of a rocket engine it is critical to understand what equivalence ratios are desirable and implement a shutdown sequence so that the hardware is subjected to the lowest thermal and mechanical loading. Furthermore, it is essential that hazards to the test technicians caused by this method be minimized. The initial study was conducted into combustion mechanics, to understand how the reactants would ideally behave at varying equivalence ratios and in both pre-mixed and diffusion flame combustion. Using this foundation an analytical model for a Propane-Oxygen flame was created and tested using a …

Predicting Lattice Vibrational Frequencies Using Deep Graph Neural Networks, Nghia Nguyen, Steph-Yves V. Louis, Lai Wei, Kamal Choudhary, Ming Hu, Jianjun Hu

Faculty Publications

Lattice vibrational frequencies are related to many important materials properties such as thermal and electrical conductivity as well as superconductivity. However, computational calculation of vibrational frequencies using density functional theory methods is computationally too demanding for large number of samples in materials screening. Here we propose a deep graph neural network based algorithm for predicting crystal vibrational frequencies from crystal structures. Our algorithm addresses the variable dimension of vibrational frequency spectrum using the zero padding scheme. Benchmark studies on two data sets with 15,000 mixed-structure and 35,552 rhombohedra samples show that the aggregated R2 scores of the prediction reach …

Tip Driven Rotor System, Kevin Allyas

Discovery Day - Prescott

The Tip-Driven Rotor System (TDRS) Project is a product designed for KRyanCreative, LLC (KRC), as the basis of a Levitated Annular Rotor System (LARS) for commercial and tactical military vertical takeoff and landing (VTOL) vehicles. Conceptually, this design will greatly increase power density and lift capacity over conventional shaft-centric helicopters. The design also enables variable rotational velocity control that can greatly expand the VTOL flight envelope. The LARS innovatively leverages electromagnetism and superconductive levitation in the transfer of energy from vehicle source to aerodynamic lifting surface. The benefits of LARS include: the reduction of wing tip vortices due to a …

Open Innovation Trends, Issues And Policy Suggestions In Manufacturing Industry, Rongping Mu, Jingjing Guo, Jin Kang, Shuang Ma, Kangwei Chi

Bulletin of Chinese Academy of Sciences (Chinese Version)

At present, the new technology revolution and industrial transformation are accelerately reshaping the international industrial division of labor. It is urgent to adhere to the basic principles of "open cooperation, green and low carbon, value co-creation, and codevelopment", promote open innovation and cooperation in key areas of the manufacturing industry, and improve the open innovation and development capability in the manufacturing industry. This study first summarizes the open innovation trends of global manufacturing industries. Second, it analyzes major countries' policies in promoting open innovation in the manufacturing industry. Third, the current situation and problems of China's manufacturing open innovation is …

4d Printing Of Smart Hydrogel Scaffold To Program Neural Stem Cell Differentiation, Omar Khater

USF Tampa Graduate Theses and Dissertations

Injuries like Traumatic brain injuries (TBI) and Spinal cord injuries (CSI) areconsidered one of the biggest challenges in the medical sector as there is no specific treatment for these injuries and the medical intervention on these injuries is restricted to reducing the pain and removing the damaged human parts. One of the helpful and most effective treatment methods for these injuries involve neural tissue regeneration in the area of the injury. The main issue when trying to treat such injuries is that neural tissues are often unable to regenerate by themselves and require outer human intervention to differentiate. Biomedical scaffolds …

High-Throughput Computational Evaluation Of Lattice Thermal Conductivity Using An Optimized Slack Model, Guangzhao Qin, An Huang, Yinqiao Liu, Huimin Wang, Zhenzhen Qin, Xue Jiang, Jijun Zhao, Jianjun Hu, Ming Hu

Faculty Publications

High-throughput computational screening of materials with targeted thermal conductivity (κ) plays an important role in promoting the advancement of material design and enormous applications. The Slack model has been widely applied for the fast evaluation of κ with minimal time and resources, showing the potential capability of high-throughput screening of κ. However, after examining the Slack model on a large set of 353 materials, a huge discrepancy is found between the predicted κ and the correspondingly measured κ in experiments for some materials in addition to the generally overestimated κ by the Slack model. Thus, it is …

A Study Of Technology And Equipment For The Mineral Flotation Based On The Interfacial Micro/Nano Bubble Group, S Yang, S T. Matkarimov, D O. Yavkochiva, N S. Yuldasheva

Technical science and innovation

The purpose of this project is to strengthen the slurry mixing efficiency and improve the separation effect, reveal the heterogeneous bubble nucleation mechanism model on the mineral surface, clarify the merger mechanism of micro-nano bubbles at the adjacent interface and the evolution law of bubble groups, explore the hydrophobic coupling and regulation mechanism between micro-nano bubbles at the interface and the mineral surface, and open up a new path for the formation of efficient and environmental friendly flotation slurry mixing means.

Froth flotation is an important method for the beneficiation of copper ores, while the traditional stirring is limited in …

The Research Of The Influence Of The Composition Of Components On The Mechanical Properties Of Structural Polymer Wear-Resistant Materials From Thermosets, J H. Nafasov, U A. Ziyamukhamedova, G B. Miradullaeva

Technical science and innovation

This article presents the research results of effect of the composite material composition based on a thermos reactive binder using the Angren kaolin filler brand AKT-10. The composition possibilities optimizing and the composite material properties are considered for using in the lever brake system of railway transport using as modifying additives – soot containing waste from the Uz-Kor Gas Chemical production enterprise. The mechanical properties of composite materials were researched in order to use them for the manufacture of the “bushing” part used in the suspension of brake lever transmission of the railcar side frame.

Classification Of Special Vehicles On The Basis Of Commodity Nomenklature Of Foreign Economic Activity, K M. Karimkulov, U R. Khamroev, G R. Khamroev

Technical science and innovation

This article classifies the types of special vehicles as a commodity due to various technical changes in the technical and specific parameters of special vehicles, insufficient accuracy of attachment and parameters of additional vehicles. detected.As a result of the growing demand for special vehicles, the attachment of additional parts (exterior and interior design changes) by manufacturing plants has led to the classification of this vehicle into another category.As a result of the analysis, we can see in the analysis that from January 1, 2019 to 2022, a total of 11 others (others) CN FEA on 8704 commodity groups imported 8364 …

Impact Of Ultrathin Coating Layer On Lithium-Ion Intercalation Into Particles For Lithium-Ion Batteries, Yufang He, Hiep Pham, Xinhua Liang, Jonghyun Park

Chemical and Biochemical Engineering Faculty Research & Creative Works

Ultrathin film coatings on battery materials via atomic layer deposition (ALD) have been demonstrated as an efficient technology for battery performance enhancement. However, the fundamental understanding on lithium intercalation into active materials through the interface between the coating and active materials is unclear, which makes it difficult to optimize ALD coating strategies. Further, like most active materials, a coating layer can undergo volume change during the intercalation process, which can produce detrimental structural changes and mechanical failure of the layer. In this work, first-principles calculations are conducted to reveal the behavior of a coating layer on an active material particle …

Use Of Power-To-Gas Technology With An Excess Of Electricity In The Network, N A. Abdivakhidova

Technical science and innovation

Electricity-to-gas conversion is a key area of interest for decarbonizing and increasing the flexibility of energy systems, as it can both absorb renewable electricity during periods of excess supply and provide backup energy during periods of excess demand. By combining the power-to-gas conversion with the natural gas network, the inherent flexibility of the line package can be exploited and some of the power variability can be transferred to the gas network. Also, as long as the gas injected into the gas grid is low-carbon, such as hydrogen from renewables to gas, then the overall greenhouse gas emissions from the gas …

Expanded-Range Venturi Flow Meter: Development And Testing Of A 3d-Printed Flow Meter And Solid-State Valve Concept, Joseph M. Pomo

Mechanical Engineering ETDs

In this thesis, I document the design, testing and performance of a novel Expanded-Range Venturi Flow Meter (ERVFM) concept. The ERVFM combines two, parallel-configured Venturi Flow Meters (VFM) with a Solid-State Selector Valve (SSSV). The goal was to create a reliable, high-turndown ratio flow meter which directs the fluid to either Venturi tube using the inherent pressure drop of the SSSV, and without moving parts. I constructed a pumped-fluid loop test-setup and quantified the ERVFM’s performance through pressure loss and mass flow rate measurements. In addition, I used python to develop models to assist in prototype design and data-processing. My …

Fiesta And Shock-Driven Flows, Brian E. Romero

Mechanical Engineering ETDs

In this study, the interaction of a shock with various gas and particle interfaces is analyzed through simulations using a new, GPU capable, multi-species flow solver, FIESTA (Fast, Interface Evolution, Shocks, and Transport in the Atmosphere), de- veloped for this research. The cases studied include the interaction between a shock and i) a two-dimensional (2D), circular cloud of a dense gas; ii) a 2D curtain of a dense gas; iii) a three-dimensional (3D) cylinder of a dense gas, and iv) a 3D curtain of solid particles.

In simulations of a 2D gas curtain and a 3D gas column, the curtain …

Machine Learning Approach For Classifying Power Outage In Secondary Electric Distribution Network, Stephan Mgaya, Hellen Maziku

Tanzania Journal of Engineering and Technology (TJET)

Power outage is the problem that hinders social and economic development especially for developing countries like Tanzania. Frequent power outages damage electric equipment, and negatively affect the industrial production process. Power outages cannot be completely eradicated due to uncontrolled cause like natural calamities but technical challenges can be managed and hence reducing power outages. The existing manual methods used to locate power outage like customer calls is inefficient and time consuming. On the other hand, modern method like the Advanced Metering Infrastructure (AMI) still faces a challenge in effectively classifying power line outage due to the nature of imbalanced datasets. …

Big Data Analytics Framework For Effective Higher Education Institutions, George Matto

Tanzania Journal of Engineering and Technology (TJET)

There has been an increased dependency on Information and Communication Technologies (ICTs) in undertaking various activities in Higher Education Institutions (HEIs) ecosystems. Because of that, huge volumes of data have increasingly been generated. There have been, for instance, considerable amounts of data generated through electronic platforms involved in students’ admission and registration process, students’ academic records management, teaching and learning data, curriculum related data, and several other administrative data. Analysis of data generated from these platforms stands to give students, lecturers, HEIs Management, policy makers and implementers, and other stakeholders useful insights that would help in improving HEIs’ effectiveness. Unfortunately, …

An Iot Based Worker Safety Helmet Using Cloud Computing Technology, Yuthriya Iddi Khamis, Mahmoud Alawi, Waheed Muhammad Sanya

Tanzania Journal of Engineering and Technology (TJET)

Miner safety and security is a major challenge around the world due to the exposure to toxic gases that are frequently released in underground mines. Miners' health is adversely affected primarily by toxic gases, which endanger the workers' lives. Furthermore, human sensory abilities do not detect these dangerous gases. As a result, this paper proposes a safety monitoring system that includes a temperature sensor, humidity sensor, and gas sensors to detect harmful gases and alert miners to those harmful gases using the smart helmet they wear. These gases are transmitted to the control station via the cloud using Internet of …

Octopus-Inspired Adhesive Skins For Intelligent And Rapidly Switchable Underwater Adhesion, Sean T. Frey, A. B. M. Tahidul Haque, Ravi Tutika, Elizabeth V. Krotz, Chanhong Lee, Cole B. Haverkamp, Eric J. Markvicka, Michael D. Bartlett

Department of Mechanical and Materials Engineering: Faculty Publications

The octopus couples controllable adhesives with intricately embedded sensing, processing, and control to manipulate underwater objects. Current synthetic adhesive–based manipulators are typically manually operated without sensing or control and can be slow to activate and release adhesion, which limits system-level manipulation. Here, we couple switchable, octopus-inspired adhesives with embedded sensing, processing, and control for robust underwater manipulation. Adhesion strength is switched over 450× from the ON to OFF state in <50 ms over many cycles with an actively controlled membrane. Systematic design of adhesive geometry enables adherence to nonideal surfaces with low preload and independent control of adhesive strength and adhesive toughness for strong and reliable attachment and easy release. Our bio-inspired nervous system detects objects and autonomously triggers the switchable adhesives. This is implemented into a wearable glove where an array of adhesives and sensors creates a biomimetic adhesive skin to manipulate diverse underwater objects.

Optimised Adjoint Sensitivity Analysis Using Adjoint Guided Mesh Adaptivity Applied To Neutron Detector Response Calculations, Andrew G. Buchan, Dan Gabriel Cacuci, Steven Dargaville, Christopher C. Pain

Faculty Publications

This article presents a new approach for the efficient calculation of sensitivities in radiation dose estimates, subject to imprecisely known nuclear material cross-section data. The method is a combined application of adjoint-based models to perform, simultaneously, both the sensitivity calculation together with optimal adaptive mesh refinement. Adjoint-based sensitivity methods are known for their efficiency since they enable sensitivities of all parameters to be formed through only two solutions to the problem. However, the efficient solutions can also be obtained by their computation on optimal meshes, here guided by goal-based adjoint approaches. It is shown that both mesh adaptivity and sensitivity …

Statistical Shape Model (Ssm) Of Infant Femurs And The Relationship With Severity Of Hip Dysplasia, Tamara Chambers, Penny Atkins, Victor Huayamave, Andrew Anderson, Charles Price

PanaSoMM

The objective is to assess the morphology of infant femurs using a statistical shape model (SSM). The Ortolani collection is used in this study and consists of untreated infant cadaveric specimens with both healthy and dysplastic hips. Computed Tomography (CT) scans of 4 of the 14 specimens in the collection were taken at the University of Padua. Manual and semi-automatic segmentation techniques were used to reconstruct the 2D slices of femurs and generate 3D surface models. The SSM model of the infant femurs will be developed using an open-source software called ShapeWorks developed by the University of Utah. The SSM …

Introducing Modeling To First-Year Engineering Students For Effective Implementation In The Engineering Design Process, Carolina Barriento, Juan F. Granizo

PanaSoMM

Introducing Modeling to First-Year Engineering Students for Effective Implementation in the Engineering Design Process

Carolina Barriento and Juan Francisco Granizo

Embry-Riddle Aeronautical University

Abstract

Modeling and Simulation are fundamental skills for all engineering students [1]. However, students are usually introduced to these concepts during their junior or even as late as their senior year. Our research aims at familiarizing students with Modeling and Simulation tools in their first year of engineering studies. We consider the fact that proper learning involves using long-term memory (in contrast with working memory) and this is accomplished by the gradual introduction and practice of the …

A Pilot Study On The Nanoscale Properties Of Bone Tissue Near Lacunae In Fracturing Women, Wen Qian, Roman Schmidt, Joseph A. Turner, Sue P. Bare, Joan M. Lappe, Robert R. Recker, Mohammed P. Akhter

Department of Mechanical and Materials Engineering: Faculty Publications

The goal of this study is to investigate the causes of osteoporosis-related skeletal fragility in postmenopausal women. We hypothesize that bone fragility in these individuals is largely due to mineral, and/or intrinsic material properties in the osteocyte lacunar/peri-lacunar regions of bone tissue. Innovative measurements with nanoscale resolution, including scanning electron microscope (SEM), an atomic force microscope that is integrated with infrared spectroscopy (AFM-IR), and nanoindentation, were used to characterize osteocyte lacunar and peri-lacunar properties in bone biopsies from fracturing (Cases) and matched (Age, BMD), non-fracturing (Controls) postmenopausal healthy women. In the peri-lacunar space, the nanoindentation results show that the modulus …