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Full-Text Articles in Engineering

Seismic Resilience Of Timber Homes, Melia R. Costa Oct 2024

Seismic Resilience Of Timber Homes, Melia R. Costa

College of Engineering Summer Undergraduate Research Program

The vast majority of residential buildings in California are wood-frame structures. A home is typically a very large investment for families, and damage to the home can be detrimental to a family’s economic success. Thus, reducing the economic impacts of an earthquake on residential timber housing is crucial. A full scale, two-story section of a residential timber house is in construction in the Parson’s Geotechnical and Earthquake Engineering Laboratory on the Cal Poly campus in San Luis Obispo, California. Once built it will be put through earthquake simulation tests on a shake table with various magnitudes of seismic activity. Next, …


Design Of Ballistics Armor Using Additive Manufacturing Of Kevlar Composites, Jedidiah D. Jimenez, Roha Y. Ali, Jack C. Bride Oct 2024

Design Of Ballistics Armor Using Additive Manufacturing Of Kevlar Composites, Jedidiah D. Jimenez, Roha Y. Ali, Jack C. Bride

College of Engineering Summer Undergraduate Research Program

This project evaluates the effectiveness of various geometries created using advanced additive manufacturing (AM) of Kevlar fiber, chopped carbon fiber-reinforced filament for ballistic protection applications. This study expands on sandwich panel designs with woven Kevlar face sheets and investigates an optimal fiber reinforced filament core structure design. A unit cell workflow was developed in nTop to take advantage of its custom cell modeling and FEA capabilities. Unit cell types were simulated and tested from the hexagonal honeycomb, gyroid TPMS, and re-entrant auxetic cell families. Core structure thickness and cell size were additive manufacturing parameters that were varied to assess the …


Optimizing Resume Authenticity And Ats Compatibility With Llm Feedback Integration, Katie He, Justin Lau Oct 2024

Optimizing Resume Authenticity And Ats Compatibility With Llm Feedback Integration, Katie He, Justin Lau

College of Engineering Summer Undergraduate Research Program

Resume generation using Large Language Models (LLMs) like ChatGPT is becoming increasingly popular for automating the creation of customized resumes, but significant user modification is often required before submission. Common issues include poor alignment with job descriptions, inflated qualifications, and lack of authenticity, which undermine the effectiveness of LLM-generated resumes. This project addresses these challenges by integrating feedback from Applicant Tracking Systems (ATS) to guide LLMs in producing resumes that accurately reflect an applicant’s qualifications and better align with job-specific requirements. By optimizing the model's output through ATS feedback, the project aims to create more authentic, tailored, and ATS-compatible resumes, …


Solubility Characterization Of Organic Molecules For Aqueous Organic Redox Flow Batteries, Anthony W. Ferrell, Harkeerith K. Vij, Seamus D. Jones Oct 2024

Solubility Characterization Of Organic Molecules For Aqueous Organic Redox Flow Batteries, Anthony W. Ferrell, Harkeerith K. Vij, Seamus D. Jones

College of Engineering Summer Undergraduate Research Program

The major obstacle to renewable energy sources is a lack of long-term energy storage capabilities. Energy produced during the day dissipates, leaving insufficient electricity for at night. The goal of the project is to design an Aqueous Organic Redox Flow Battery (AORFB) to act as long-term energy storage. Work has been done using machine learning to identify suitable compounds for the batteries. In this work there was no indication as to the aqueous solubility of the molecules; this controls the device’s energy storage capabilities. We used a machine learning model to determine the aqueous solubility of slightly more than 3000 …


Exploration Of Esp32 Vulnerabilities And Malware, Charles T. Moreno Oct 2024

Exploration Of Esp32 Vulnerabilities And Malware, Charles T. Moreno

College of Engineering Summer Undergraduate Research Program

The rapid expansion of the Internet of Things (IoT) has revolutionized industries by enabling connected smart devices to monitor, communicate, and automate tasks in real-time. Central to the functioning of many IoT systems are microcontrollers like the ESP32, a versatile and low-cost microcontroller known for its integrated Wi-Fi and Bluetooth capabilities. The ESP32's powerful processing, energy efficiency, and adaptability make it a popular choice for IoT applications ranging from smart home devices to industrial automation. However, as IoT adoption grows, so too do the security challenges posed by vulnerabilities in these devices, particularly within ESP32-based systems. For this project, I …


Enhancing Semantic Search With Human-Crafted Knowledge In Sentence Embeddings, Zachary Weinfeld Oct 2024

Enhancing Semantic Search With Human-Crafted Knowledge In Sentence Embeddings, Zachary Weinfeld

College of Engineering Summer Undergraduate Research Program

Semantic search plays a critical role in many domains, with numerous algorithms developed to address it. A common approach involves using sentence transformers to generate embeddings for both search queries and documents, allowing for the comparison of their vectors. While many different embedding models are widely used, our approach integrates these models with human-crafted knowledge in a novel way, resulting in an improvement in the Mean Average Precision (MAP) scores. Traditional embeddings often rely heavily on the specific words used in a query or document. Our technique mitigates this dependency by refining the vectors to capture the overall semantic meaning, …


Advanced Grasping Sensor Technologies For Autonomous Robotic Apple Harvesting Using Tactile Data And Cnns, Chris Bae Oct 2024

Advanced Grasping Sensor Technologies For Autonomous Robotic Apple Harvesting Using Tactile Data And Cnns, Chris Bae

College of Engineering Summer Undergraduate Research Program

This research investigates how to achieve an optimal grasp of an apple using a four-finger soft robotic grasper equipped with force-resistive sensors. Specifically, we sought to determine whether a convolutional neural network (CNN) could accurately classify the grasper's state and recommend adjustments ("in," "out," or "good" grasp) based on tactile data from the sensors. Spatiotemporal tactile images were developed from the sensors and fed into our CNN, achieving near 100% accuracy on unseen test data. This work suggests that CNN-based processing of tactile images can be a powerful tool for real-time control of soft robotic grippers.


Cryogenic Fuel Applications To Sustainable Commercial Aircraft, Jack R. Kisling, Lillian Panning Oct 2024

Cryogenic Fuel Applications To Sustainable Commercial Aircraft, Jack R. Kisling, Lillian Panning

College of Engineering Summer Undergraduate Research Program

Finding a source of clean and renewable energy is one of the greatest challenges humanity will face in the 21st century. With populations expanding, developing countries increasing their use of resources, and the rapid and alarming effects of climate change, a shift to a sustainable future is an existential prospect.

The goal of our project is to take the first steps toward getting safety procedures and lab space established, so mechanical engineering senior projects can quickly begin to experiment with cryogenic fuels. They will explore the application of cryogenic fuels to commercial aviation.


Incorporation Of Gnss Technology For Water-Level Instruments, Armaan S. Oberai, Toma Grundler, Serena B. Lee, Stefan A. Talke Oct 2024

Incorporation Of Gnss Technology For Water-Level Instruments, Armaan S. Oberai, Toma Grundler, Serena B. Lee, Stefan A. Talke

College of Engineering Summer Undergraduate Research Program

Our goal was to take an existing water-level measuring embedded system and upgrade the GNSS module for the purpose of getting the elevation of the device within an error of 1 cm. Main milestones for the project included deploying a successful field test at a known survey point, using software-based post processing to improve the GNSS solution point, and implementing robust hardware and software for the water-level embedded system such that it was easily scalable.


Wind Shear Induced Tornados With Full Thermodynamic Effects, Kakkattukuzhy M. Isaac Oct 2024

Wind Shear Induced Tornados With Full Thermodynamic Effects, Kakkattukuzhy M. Isaac

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Wind shear-induced Tornado behavior under full thermodynamic formulation using the ideal gas equation is investigated. The computational fluid dynamics model that includes the energy equation is used to obtain solutions of a natural-scale tornado under pressure and temperature boundary conditions that account for their variations vs. altitude in the atmosphere. The present results show significant differences from previous isothermal simulations and those using the Boussinesq model for buoyancy under small temperature differences. Results show that the downdraft observed in tornados originating from supercells, often accompanied by rain and hail can be captured using the present model that simulates the genesis, …


Eco-Friendly Packaging: Changing The Norm, Victoria C. Hoffmann, Mujde Erten-Unal Oct 2024

Eco-Friendly Packaging: Changing The Norm, Victoria C. Hoffmann, Mujde Erten-Unal

OUR Journal: ODU Undergraduate Research Journal

Packaging is an essential aspect of our daily life routines and is integral in preserving, protecting, informing, and selling the products we rely on. The advent of plastic packaging has allowed us to meet the rising consumer demand for efficient and economical packaging solutions. However, plastic packaging has also emerged as a significant contributor to environmental degradation. This review highlights the growing need for eco-friendly packaging alternatives, given the harmful impact of current packaging practices. It delves into several proposed sustainable packaging solutions and their limitations, and outlines strategic initiatives for safer packaging. As a society, it is critical to …


Mannosylated Pamam G2 Dendrimers Mediated Rate Programmed Delivery Of Efavirenz Target Hiv Viral Latency At Reservoirs, Rohini Kharwad, Mohsin Kazi, Nilesh Mahajan, Payal Badole, Sachin More, Asaad Kayali, Md Noushad Javed, Mohammed Kaleem Oct 2024

Mannosylated Pamam G2 Dendrimers Mediated Rate Programmed Delivery Of Efavirenz Target Hiv Viral Latency At Reservoirs, Rohini Kharwad, Mohsin Kazi, Nilesh Mahajan, Payal Badole, Sachin More, Asaad Kayali, Md Noushad Javed, Mohammed Kaleem

Mechanical Engineering Faculty Publications and Presentations

In this current research, we conceptualized a novel nanotechnology-enabled synthesis approach of targeting HIV-harboring tissues via second-generation (G2) polyamidoamine (PAMAM) mannosylated (MPG2) dendrimers for programmed delivery of anti-HIV drugs efavirenz (EFV) and ritonavir (RTV). Briefly, here mannose served purpose of ligand in this EFV and RTV-loaded PAMAM G2 dendrimers, synthesized by divergent techniques, denoted as MPG2ER. The developed nanocarriers were characterized by different analytical tools FTIR, NMR, zeta potential, particle size, and surface morphology. The results of confocal microscopy showed substantial alterations in the morphology of H9 cells, favored by relatively higher drug uptake through the MPG2ER. Interestingly, the drug …


Carboxymethyl Cellulose-Based Preformed Particle Gels For Water Management In Oil And Gas Reservoirs, Ahmed Ben Ali, Ahmed Hamza, Abdulaziz A. Almakimi, Mohammed Saad, Ibnelwaleed A. Hussein, Baojun Bai Oct 2024

Carboxymethyl Cellulose-Based Preformed Particle Gels For Water Management In Oil And Gas Reservoirs, Ahmed Ben Ali, Ahmed Hamza, Abdulaziz A. Almakimi, Mohammed Saad, Ibnelwaleed A. Hussein, Baojun Bai

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Carboxymethyl cellulose (CMC) based materials have been proposed as preformed particle gels (PPGs) for reducing excessive water production in oil and gas reservoirs. Multi-sized dry particles ranging between 100 and 1180 μm have been synthesized using microwave-assisted grafting copolymerization of CMC and acrylamide (AM)/n,n''-methylene-bisacrylamide (MBA). FTIR and SEM confirmed CMC crosslinked polyacrylamide's chemical structure and morphology (CMC/CPAM). Thermo-gravimetric analysis has demonstrated the thermal stability of dry PPGs up to 309 °C. CMC/CPAM showed slightly high absorbency in brine 2 (TDS = 67.3 g/L) compared to brine 1 (TDS = 33.65 g/L), 1% NaCl, and deionized water, with swelling ratios (SR) …


Iterative Correction Of Robotic Grinding Using Spatial Feedback For Precision Applications, Philip A. Olubodun, Joseph D. Fischer, Douglas A. Bristow Oct 2024

Iterative Correction Of Robotic Grinding Using Spatial Feedback For Precision Applications, Philip A. Olubodun, Joseph D. Fischer, Douglas A. Bristow

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Since the advent of robots, many tasks that were originally performed by humans have now been tasked to industrial robots. From a manufacturing standpoint, robots have primarily been used in pick-and-place or other non-machining operations that require high repeatability. However, with the increasing availability of CAD/CAM software and the development of high-precision metrology, comes the opportunity to integrate robots into a wider variety of manufacturing processes through the use of feedback control. One such machining operation that is being explored is precision grinding of metal parts. Most other work in this area has focused on force regulation to improve grind …


A Feedforward Kinematic Error Controller With An Angular Positioning Deviations Model For Backlash Compensation Of Industrial Robots, Mitchell R. Woodside, Tian Hao Cui, John Emelko, Soichi Ibaraki, Robert G. Landers, Douglas A. Bristow Oct 2024

A Feedforward Kinematic Error Controller With An Angular Positioning Deviations Model For Backlash Compensation Of Industrial Robots, Mitchell R. Woodside, Tian Hao Cui, John Emelko, Soichi Ibaraki, Robert G. Landers, Douglas A. Bristow

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The accuracy of industrial robots, typically on the order of several millimeters, has inhibited their adoption in advanced aerospace manufacturing applications, such as robotic machining. For this reason, extensive investigations have been conducted to develop solutions to improve their accuracy. These solutions can be categorized into offline and online compensation strategies, both of which have advantages and limitations. Offline compensation has been shown to improve the accuracy of industrial robots by two to three orders of magnitude; however, the sensitivity of these solutions to environmental changes and external disturbances can degrade their performance. In contrast, online compensation, which utilizes real-time …


Hardware Control Unit For Trusted Program Verification System, Jake Owen Alt Oct 2024

Hardware Control Unit For Trusted Program Verification System, Jake Owen Alt

Master's Theses

Trust in the underlying hardware is the foundational step towards trusting the correctness and integrity of a software application. However, verifying that today's extremely complex processors work exactly as intended has not been feasible, as evidenced by several recent hardware bugs. Trustworthy, formally verified processors currently forego intricate performance enhancements such as out-of-order execution, hampering them substantially versus their less secure counterparts.

The Containment Architecture with Verified Output (CAVO) system solves this problem by isolating the host system and requiring the result of each instruction to be validated by a small, trusted hardware module called the Sentry. Any transmissions to …


An Overview Of Additively Manufactured Metal Matrix Composites: Preparation, Performance, And Challenge, Liang Yu Chen, Peng Qin, Lina Zhang, Lai Chang Zhang Oct 2024

An Overview Of Additively Manufactured Metal Matrix Composites: Preparation, Performance, And Challenge, Liang Yu Chen, Peng Qin, Lina Zhang, Lai Chang Zhang

Research outputs 2022 to 2026

Highlight Recent progresses in additive manufacturing on metal matrix composites are reviewed. Additive manufacturing technologies for metal matrix composites are summarized. The characteristics of feedstocks and reinforcements are introduced. Mechanical property of additively manufactured metal matrix composites is reviewed. Challenges of additively manufactured metal matrix composites are discussed.


Stability Of Two-Class Armour Berm Breakwaters: An Experimental Study, Mohammed Al-Ogaili, Amir Etemad-Shahidi, Nick Cartwright, Sigurdur Sigurdarson Oct 2024

Stability Of Two-Class Armour Berm Breakwaters: An Experimental Study, Mohammed Al-Ogaili, Amir Etemad-Shahidi, Nick Cartwright, Sigurdur Sigurdarson

Research outputs 2022 to 2026

The recession of a berm breakwater is a key parameter in ensuring its stability, and functionality, to protect coastal areas against wave impacts. Consequently, consideration of the expected recession in structural design is required to ensure the required objectives of the structure. In this study, physical model laboratory experiments were conducted to measure the recession of two-class armour berm breakwaters in response to varying sea state conditions (wave height, wave period, storm duration, and water depth at the structure's toe) and geometrical parameters (berm elevation from still water level, berm width, and rock size). A total of 110 tests were …


Harnessing The Power Of Hollow Zein Nanoparticles For Enhanced Antifouling And Heavy Metal Removal Of Polyethersulfone Membranes, Farzan Esmali, Mohadeseh Najafi Arani, Elsie Betmoushoul, Masoumeh Zargar, Khalil Farhadi, Vahid Javan Kouzegaran, Rahim Molaei, Yaghoub Mansourpanah Oct 2024

Harnessing The Power Of Hollow Zein Nanoparticles For Enhanced Antifouling And Heavy Metal Removal Of Polyethersulfone Membranes, Farzan Esmali, Mohadeseh Najafi Arani, Elsie Betmoushoul, Masoumeh Zargar, Khalil Farhadi, Vahid Javan Kouzegaran, Rahim Molaei, Yaghoub Mansourpanah

Research outputs 2022 to 2026

This study explores the physicochemical characteristics of an innovative mixed matrix membrane made from polyethersulfone (PES) and hollow Zein nanoparticles (HZNs), which are derived from the corn storage protein, Zein. HZNs, with a mean diameter of 40 nm, were applied to address the challenges associated with metal and inorganic nanoparticles, such as their tendency to accumulate unevenly on the membrane surface. The membranes were fabricated by incorporating varying concentrations of HZNs into the PES casting solution through the nonsolvent phase separation method. The addition of HZNs enhanced the hydrophilicity and pure water flux of the membranes. It also modified the …


Sub-Surface Geospatial Intelligence In Carbon Capture, Utilization And Storage: A Machine Learning Approach For Offshore Storage Site Selection, Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, Stefan Iglauer Oct 2024

Sub-Surface Geospatial Intelligence In Carbon Capture, Utilization And Storage: A Machine Learning Approach For Offshore Storage Site Selection, Mehdi Nassabeh, Zhenjiang You, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

This study introduces an innovative data-driven and machine-learning framework designed to accurately predict site scores in the site screening study for specific offshore CO2 storage sites. The framework seamlessly integrates diverse sub-surface geospatial data sources with human aided expert-weighted criteria, thereby providing a high-resolution screening tool. Tailored to accommodate varying data accessibility and the significance of criteria, this approach considers both technical and non-technical factors. Its purpose is to facilitate the identification of priority locations for projects associated with Carbon Capture, Utilization, and Storage (CCUS). Through aggregating and analyzing geospatial datasets, the study employs machine learning algorithms and an expert-weighted …


Design Of An Above Pavement Wireless Sensor Node (Apwsn) For Real-Time Roadway Monitoring Using Piezoelectric Energy-Harvesting, Jochy Jonathan Perez Sep 2024

Design Of An Above Pavement Wireless Sensor Node (Apwsn) For Real-Time Roadway Monitoring Using Piezoelectric Energy-Harvesting, Jochy Jonathan Perez

Theses and Dissertations

The evolution of Smart Highway and Internet of Things (IoT) technologies offers new opportunities to improve the safety and efficiency of vehicular traffic on roads. This research effort describes the development of a wireless pavement sensor that provides a novel method to detect key pavement parameters while incorporating low-power energy harvesting that leverages the kinetic energy generated by vehicular traffic. The Above Pavement Wireless Sensor Node (APWSN) is the embodiment of the approach. APWSN can facilitate the strategic deployment of sensors on a wide variety of roads to enable real-time data collection to support decision-making processes for road infrastructure maintenance …


Self-Oxidation Of The Atmospheres Of Rocky Planets With Implications For The Origin Of Life, Anders Johansen, Eloi Camprubi, Elishevah Van Kooten, H. Jens Hoeijmakers Sep 2024

Self-Oxidation Of The Atmospheres Of Rocky Planets With Implications For The Origin Of Life, Anders Johansen, Eloi Camprubi, Elishevah Van Kooten, H. Jens Hoeijmakers

School of Integrative Biological and Chemical Sciences Faculty Publications and Presentations

Rocky planets may acquire a primordial atmosphere by the outgassing of volatiles from their magma ocean. The distribution of O between H2O, CO, and CO2 in chemical equilibrium subsequently changes significantly with decreasing temperature. We consider here two chemical models: one where CH4 and NH3 are assumed to be irrevocably destroyed by photolysis and second where these molecules persist. In the first case, we show that CO cannot coexist with H2O, since CO oxidizes at low temperatures to form CO2 and H2. In both cases, H escapes from the thermosphere within a few 10 million years by absorption of stellar …


Boosting Predictive Accuracy Of Single Particle Models For Lithium-Ion Batteries Using Machine Learning, Emmanuel Olugbade, Jonghyun Park Sep 2024

Boosting Predictive Accuracy Of Single Particle Models For Lithium-Ion Batteries Using Machine Learning, Emmanuel Olugbade, Jonghyun Park

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The accuracy of single particle (SP) models for lithium-ion batteries at high C-rates is constrained by lithium concentration gradients in the electrolyte, which affect ionic conductivity, overpotential, and reaction rates. This study addresses these limitations using extreme gradient boosting machine learning (ML). By training our ML model with data from a comprehensive electrochemical (P2D) model and performing sensitivity analysis on key battery parameters, we enhance predictive accuracy. Compared to conventional SP and P2D models under constant current loading, our ML-based SP model achieves similar predictive accuracy to P2D, with significant improvements in computational efficiency. Additionally, the ML-based SP model demonstrates …


The Importance Of Humanities In A Career-Focused Educational Environment, Geoff Zylstra, Jill Belli, Candido Cabo, Sean Macdonald, Robin Michals, Ann Marie Sowder, Christopher B. Swift Sep 2024

The Importance Of Humanities In A Career-Focused Educational Environment, Geoff Zylstra, Jill Belli, Candido Cabo, Sean Macdonald, Robin Michals, Ann Marie Sowder, Christopher B. Swift

Publications and Research

The humanities have the potential to enhance STEM curriculum in career-oriented professional degree programs. As part of a larger college-wide initiative to develop interdisciplinary curricula, the National Endowment for the Humanities (NEH) awarded a grant to New York City College of Technology to explore the relationship between the humanities and career-focused degree programs in STEM departments. This article describes the design and implementation of coursework that bridges the curricular divides between humanities disciplines and technical or career-focused disciplines by bringing the humanities to bear on science and technology-oriented courses. Specifically, the humanities served to improve technical skills for students in …


Nanopore Signal Deviations From Pseudouridine Modifications In Rna Are Sequence-Specific: Quantification Requires Dedicated Synthetic Controls, Amr Makhamreh, Sepideh Tavakoli, Ali Fallahi, Xinqi Kang, Howard Gamper, Mohammad Nabizadehmashhadtoroghi, Miten Jain, Ya-Ming Hou, Sara H Rouhanifard, Meni Wanunu Sep 2024

Nanopore Signal Deviations From Pseudouridine Modifications In Rna Are Sequence-Specific: Quantification Requires Dedicated Synthetic Controls, Amr Makhamreh, Sepideh Tavakoli, Ali Fallahi, Xinqi Kang, Howard Gamper, Mohammad Nabizadehmashhadtoroghi, Miten Jain, Ya-Ming Hou, Sara H Rouhanifard, Meni Wanunu

Department of Biochemistry and Molecular Biology Faculty Papers

Chemical modifications to mRNA respond dynamically to environmental cues and are important modulators of gene expression. Nanopore direct RNA sequencing has been applied for assessing the presence of pseudouridine (ψ) modifications through basecalling errors and signal analysis. These approaches strongly depend on the sequence context around the modification, and the occupancies derived from these measurements are not quantitative. In this work, we combine direct RNA sequencing of synthetic RNAs bearing site-specific modifications and supervised machine learning models (ModQuant) to achieve near-analytical, site-specific ψ quantification. Our models demonstrate that the ionic current signal features important for accurate ψ classification are sequence …


The Effectiveness Of Certain Biological Additives Considered By-Products Of The Food Industry In Baker’S Yeast Activation, Nataliya E. Kulikova, Antonina G. Chernobrovina, Natalia N. Roeva Sep 2024

The Effectiveness Of Certain Biological Additives Considered By-Products Of The Food Industry In Baker’S Yeast Activation, Nataliya E. Kulikova, Antonina G. Chernobrovina, Natalia N. Roeva

CHEMISTRY AND CHEMICAL ENGINEERING

One of the ways to increase the efficiency of the activation process of baking yeast is the use of waste and by-products of the food industry as nutrient media. The goal of the study was to develop ways to activate yeast in a nutrient medium with dietary supplements: potato cell sap, whey and quince pomace powder. We demonstrated the effectiveness of the use of biological additives (potato cell juice, quince pomace powder, whey), which are waste or by-products of the food industry to activate yeast. We have established that incubation in a nutrient medium with dietary supplements has a beneficial …


Study Of Regularities Of Formation Of Hydroxyammonium Oligomers From Alkanolamine Of The Type Of Hexahydrosimtriazine And Epichlorohydrin, Nozima M. Ibragimova, Ravshan I. Adilov Sep 2024

Study Of Regularities Of Formation Of Hydroxyammonium Oligomers From Alkanolamine Of The Type Of Hexahydrosimtriazine And Epichlorohydrin, Nozima M. Ibragimova, Ravshan I. Adilov

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of the work is to study the patterns of formation of hydroxylammonium oligomers based on hexahydrosymtriazine with epichlorohydrin. The paper studies the interaction patterns of the alkanolamine hexahydrosimtriazine type - N, N', N'-tris (β-oxyethyl) hexahydro-S-triazine (THOHST)with epichlorohydrin (ECH). The reaction between TOEGT and ECH occurs at a noticeable rate, already at 0 oC. An increase in the reaction duration leads to a symbate increase in the molecular weight values, the concentration of hydrolyzed chlorine, a decrease in the content of epoxy groups, and the concentration of hydroxyl groups do not change within the experimental error. An increase …


O-Xloratsetiltimol Sintezi Va Uni Kimyoviy Modifikatsiyalash, Azimjon U. Choriev, Anvar K. Abdushukurov, Ilyos U. Normurodov, Sarvinoz K. Mirzayeva Sep 2024

O-Xloratsetiltimol Sintezi Va Uni Kimyoviy Modifikatsiyalash, Azimjon U. Choriev, Anvar K. Abdushukurov, Ilyos U. Normurodov, Sarvinoz K. Mirzayeva

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of the study is to develop a convenient method for the synthesis of O-chloroacetylthymol and to propose the mechanism of the O-chloroacetylation reaction. Thin-layer chromatography of chloroacetylation and nucleophilic substitution reaction products was studied and their composition was confirmed by reference substances. Nucleophilic exchange reactions of O-chloroacetylthymol with sodium oxalate, sodium tartrate, potassium rhodanides were studied. Favorable conditions for carrying out the nucleophilic exchange reaction were searched and 3 new substances unknown in the literature were synthesized. The structure of the synthesized substances was proved by IR and NMR spectra.


Study Of Crystallization Ability Of Glasses Synthesized In The Basalt-Quartz-Soda System, Eldor I. Ruzmatov, Mastura Kh. Aripova, Bahrom R. Ro'ziboyev Sep 2024

Study Of Crystallization Ability Of Glasses Synthesized In The Basalt-Quartz-Soda System, Eldor I. Ruzmatov, Mastura Kh. Aripova, Bahrom R. Ro'ziboyev

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of the work is to study the crystallization capacity of glasses synthesized in the basalt-quartz-soda system. The crystallization capacity of glasses was studied by the method of mass crystallization in the range of 600 oC and 1050 oC. The stages of spontaneous crystallization were determined by the DTA method. The density, TCLE, refractive index, compressive strength and frost resistance were studied. The crystalline phases of crystallized glasses were determined by the X-ray phase method. The presence of diopside and anorthite was revealed.


Influence Of The Granulometric Composition Of Carbonate Rocks On Glass Formation Processes In Float Glass Technology, Sergey P. Grechuha, Yury G. Pavliukevich, Ludmila F. Pаpko, Olesya M. Mozhdzher, Aleksandr P. Kravchuk Sep 2024

Influence Of The Granulometric Composition Of Carbonate Rocks On Glass Formation Processes In Float Glass Technology, Sergey P. Grechuha, Yury G. Pavliukevich, Ludmila F. Pаpko, Olesya M. Mozhdzher, Aleksandr P. Kravchuk

CHEMISTRY AND CHEMICAL ENGINEERING

The aim of this work is to study the influence of the granulometric composition of dolomite and limestone of 0.1–1.0 mm, 1.0–1.6 mm, 1.6–2.5 mm fractions on the rate of glass formation processes in the synthesis of float glass. The dependence of the degree of decarbonization of dolomite and limestone on the dispersion of particles and the time of heat treatment has been established. According to the study of the influence of the granulometric composition of carbonate rocks on the melting characteristic of float glass, it can be concluded that it is possible to use the 1.0–1.6 mm fraction of …