Review And Analysis Of Methods And Techniques For Refining Vegetable Oils,
2025
Tashkent State Technical University. Address: 2 Universitet st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected], Phone: +998974301376.
Review And Analysis Of Methods And Techniques For Refining Vegetable Oils, Umidjon Ruziev, Marufjon K. Shodiev
Chemical Technology, Control and Management
This article provides a comparative analysis of the main methods of vegetable oil refining: alkaline (chemical), physical, and combined. It examines the stages of the technological process and the applicability of each method for various types of oils (palm, soybean, cottonseed, sunflower, rapeseed, etc.). Attention is paid to energy consumption at the stages of neutralization, washing, drying, and deodorization, as well as the impact of equipment performance on specific energy consumption. Approximate calculations of the distribution of thermal and electrical energy during the processing of 1 kg of oil are provided. It is noted that physical refining, despite the high …
Improvement Of Technology And Control And Management Systems Of The Plant Oil Refination Process,
2025
Tashkent State Technical University. Address: st. Universitetskaya 2, 100095, Tashkent, Republic of Uzbekistan. E-mail: [email protected].
Improvement Of Technology And Control And Management Systems Of The Plant Oil Refination Process, Elyor Samadov
Chemical Technology, Control and Management
The article examines modern approaches to modernizing vegetable oil refining processes from the perspective of increasing energy efficiency, environmental friendliness, and final product quality. Traditional and innovative technologies are analyzed, with a focus on the implementation of membrane filtration, automated control systems, heat exchange complexes, and renewable energy sources. It has been shown that the use of intelligent control systems, high-precision membrane filters, and heat regeneration allows for a 25% reduction in energy consumption, a 20% reduction in greenhouse gas emissions, and a significant improvement in acidity, color, and impurity content in the product. The obtained results show the effectiveness …
Comprehensive Mechatronic Design Methodology For 6-Dof Stationary Lower Limb Rehabilitation Exoskeleton Robot With Safety-Integrated Control Architecture,
2025
Andijan state technical institute. Address: 56 Boburshox st., Andijan city, Uzbekistan. E-mail: [email protected], Phone: +998-94-438-08-80;
Comprehensive Mechatronic Design Methodology For 6-Dof Stationary Lower Limb Rehabilitation Exoskeleton Robot With Safety-Integrated Control Architecture, Javlonbek Rakhmatillaev Mr., Nodirbek Kimsanboyev Mr., Umidjon Takabaev Mr., Zafar Juraev Dr.
Chemical Technology, Control and Management
This paper presents the mechatronic design of a proposed six-degree-of-freedom (6-DOF) stationary lower limb rehabilitation exoskeleton (SLLRE) robot, developed through a comprehensive mechatronic design methodology that includes mechanical design, actuator and sensor selection, and the development of a control structure based on a safety-oriented control approach. The proposed 6-DOF SLLRE mechanical design introduces a comprehensive mechanical structure comprising bilateral hip, knee, and ankle joints, degrees of freedom, joint ranges of motion, human parameters for rehabilitation training, as well as the frames and structural elements of the proposed system. Furthermore, the selection of appropriate sensors, actuators, and control architecture for the …
Empirical Analysis Of Machine Learning Models For Predicting Equipment Failures Using Iot Sensor Data,
2025
Tashkent State Technical University, Address: 100095, Tashkent city, st. University 2, Republic of Uzbekistan. E-mail: [email protected].
Empirical Analysis Of Machine Learning Models For Predicting Equipment Failures Using Iot Sensor Data, Yusuf Shodiyevich Avazov
Chemical Technology, Control and Management
This article examines the problem of detecting and predicting industrial equipment faults using IoT sensor data through machine learning techniques. Sensor readings such as temperature, vibration, pressure, voltage, and current, as well as FFT-based features, were statistically analyzed. Class imbalance and low signal informativeness were identified as key factors limiting model accuracy. Results obtained from Logistic Regression, Random Forest, and XGBoost models were comparatively evaluated, showing that when ROC-AUC values remain around 0.5, distinguishing fault and non-fault states becomes challenging. Correlation and feature-importance analyses confirmed the absence of strong dominant indicators. The findings highlight the need to improve sensor architecture …
Current Trends In Industrial Gas Furnace Control And Monitoring Systems,
2025
Tashkent State Technical University, Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected].
Current Trends In Industrial Gas Furnace Control And Monitoring Systems, Utkir Uktam O'Gli Kholmanov
Chemical Technology, Control and Management
This paper presents a critical review of modern control methods applied to industrial gas-fired furnaces. Conventional PID controllers and their advanced modifications, including Advanced Process Control (APC) and cascade control schemes, are analyzed alongside Model Predictive Control (MPC) approaches. In addition, intelligent control algorithms—such as fuzzy logic and neuro-fuzzy systems (Fuzzy, ANFIS)—are examined. The study also considers advanced sensing technologies, including Tunable Diode Laser Absorption Spectroscopy (TDLAS), acoustic pyrometry, and infrared pyrometers, as well as digital twins and CFD-based modeling techniques. Particular attention is given to a comparative evaluation of control strategies based on key performance criteria, including energy efficiency, …
Skeleton-Based Human Action Recognition Using Spatio-Temporal Latent Features With A Gcn Model,
2025
Tashkent State Technical University. Address: 2 Universitetskaya st., 100095, Tashkent, Uzbekistan. E-mail: [email protected];
Skeleton-Based Human Action Recognition Using Spatio-Temporal Latent Features With A Gcn Model, Avazjon Marakhimov, Kabul Khudaybergenov, Mominov Zakhriddin
Chemical Technology, Control and Management
Owing to its resilience to visual noise and viewpoint variations, skeleton-based analysis has become a cornerstone of human action recognition research. Despite its practical significance, existing methodologies often suffer from a reliance on single-stream skeletal representations, which fail to encompass the full complexity of action features. This study introduces Latent Features for Human Action Recognition (LFHAR), a novel architecture designed to overcome these limitations by utilizing diverse spatio-temporal latent representations for improved feature extraction. The approach applies graph-based transformations to individual skeletal frames in temporal sequences, then arranges the derived graph features into spatio-temporal matrices. Evaluation of standard datasets demonstrates …
Models And Algorithms Of Control Mechanisms In Information Exchange Processes,
2025
Research Institute for Development of Digital Technologies and Artificial Intelligence, Tashkent, Uzbekistan. E-mail: [email protected];
Models And Algorithms Of Control Mechanisms In Information Exchange Processes, Madina M. Fozilova, Dilshoda N. Uchqunova
Chemical Technology, Control and Management
In modern digital systems, efficient and reliable information exchange is essential for the stability of corporate systems. Traditional data management models struggle to detect and eliminate invalid, incomplete data at early stages, resulting in reduced accuracy and system inefficiency. This article proposes an advanced framework for controlling information exchange processes through the development of a Verification and Filtering algorithm. The algorithm operates within a multi-layered conceptual model that includes data input, control, validation, optimization, and decision layers. Acting as the core component, the Verification and Filtering algorithm distinguishes valid from invalid records in real time, ensuring data integrity before storage. …
Performance Assessment Of Operators Under Digital Simulator-Based Training In Automated Industrial Systems,
2025
Tashkent state technical university named after Islam Karimov, Tashkent, Uzbekistan. Address: 2 Universitetskaya st., 100095, Tashkent city, Republic of Uzbekistan. E-mail: [email protected], Phone: +998-99-852-66-65.
Performance Assessment Of Operators Under Digital Simulator-Based Training In Automated Industrial Systems, Kamola Abdullaeva
Chemical Technology, Control and Management
This article proposes a comprehensive approach to training process operators, based on computer simulators integrated with digital twins, SCADA/DCS systems, real production data, and artificial intelligence algorithms. This approach is particularly relevant given the increased requirements for safety, productivity, and reliability of industrial facilities, as human factors are often the main cause of accidents (up to 60-80% of cases). The architecture of the simulator complex is designed to accurately emulate steady-state, transient, and pre-emergency operating modes of equipment, which are not achievable under actual production conditions. The experiment compared the training effectiveness of two groups of operators: one that used …
Use Of Alaçatı Stone Aggregate In Conventional And Self-Consolidating Concretes,
2025
Marmara University, Department of Civil Engineering, Maltepe, 34854, İstanbul
Use Of Alaçatı Stone Aggregate In Conventional And Self-Consolidating Concretes, Tahir Kemal Erdem
Journal of Sustainable Construction Materials and Technologies
Alaçatı stone or Alapietra stone is widely used mostly for building cladding. However, its production and use in the construction sites generate high amounts of waste (debris), causing environmental pollution in Çeşme which is a touristic district. This study investigated the reuse of Alaçatı stone as lightweight aggregate (LWA) in both conventional and self-consolidating concrete (SCC) mixtures. The concretes were prepared to have three different water-to-cement ratios (w/c), which were 0.38, 0.42 and 0.48. For each w/c, a conventional concrete mixture and two SCC mixtures with 60 or 70 cm slump flow were produced by varying the superplasticizer SP content. …
A Decision Support Model For Building Material And Component Reuse In The Context Of Circular Buildings,
2025
Department of Architecture, Faculty of Fine Arts, Design and Architecture, Tekirdağ Namık Kemal University, Tekirdağ, 59030, Türkiye
A Decision Support Model For Building Material And Component Reuse In The Context Of Circular Buildings, Havva Aksel
Journal of Sustainable Construction Materials and Technologies
Construction activities cause significant environmental impacts such as waste generation, pollution, resource consumption, and land use, which are expected to increase with global construction demands. To mitigate these environmental problems, the circular building occurs as an emerging concept depending on in the circular economy, which aims to minimize waste and redefine the “end-of-life” concept by reducing, reusing, recycling, and recovering materials. The reuse of building materials and components (BMCs) from existing structures represents a crucial strategy for achieving circularity in the built environment. Within this framework, design plays a key role. However, designing with reclaimed BMCs remains complex due to …
Optimal Sizing Of Battery Energy Storage Systems For Peak Shaving And Demand Response Using A Degradation-Aware Bayesian Optimization-Mixed-Integer Linear Programming Framework,
2025
University of Utah
Optimal Sizing Of Battery Energy Storage Systems For Peak Shaving And Demand Response Using A Degradation-Aware Bayesian Optimization-Mixed-Integer Linear Programming Framework, Jiwei Yao, Blake Billings, Tao Gao, John Hedengren, Kody M. Powell
Faculty Publications
The increasing integration of renewable energy and rising electricity demand highlight the importance of battery energy storage systems for peak shaving and demand response. Unlike prior approaches that overlook operational impacts on degradation, this study proposes a Bayesian Optimization–Mixed Integer Linear Programming framework for optimal battery energy storage system sizing. In this framework, Mixed Integer Linear Programming determines short-term scheduling while a calibrated electrochemical model iteratively evaluates degradation. The central hypothesis is that the framework can efficiently identify optimal sizes that yield realistic and economically robust outcomes. The method is tested across three scenarios: peak shaving, peak shaving with energy-reduction …
Transforming Co2 Into Value-Added Products: Liquefied Petroleum Gas And Solid Carbon Materials,
2025
Washington University – McKelvey School of Engineering
Transforming Co2 Into Value-Added Products: Liquefied Petroleum Gas And Solid Carbon Materials, Kaiying Wang
McKelvey School of Engineering Graduate Student Theses & Dissertations
The escalating climate crisis, driven by anthropogenic carbon dioxide (CO2) emissions, necessitates the development of advanced Carbon Capture and Utilization (CCU) technologies. A critical distinction within CCU lies between transient carbon cycling, which converts CO2 into fuels, and permanent sequestration, which transforms it into durable, solid materials. This dissertation addresses fundamental catalytic challenges across both pathways to develop economically viable and technologically sound solutions for CO2 valorization. This work seeks to answer two primary research questions: (1) How can the catalyst temperature mismatch and stability limitations in the tandem conversion of CO2 to Liquefied Petroleum Gas (LPG) be overcome to …
Mechanistic Roles And Design Criteria For Catalysts In Lithium–Sulfur Batteries,
2025
University of South Carolina
Mechanistic Roles And Design Criteria For Catalysts In Lithium–Sulfur Batteries, Saheed Lateef, Golareh Jalilvand
Faculty Publications
Catalysis is widely explored in lithium–sulfur (Li–S) batteries to address challenges related to limited capacity and cycle durability. Despite extensive research, catalyst development has often focused on materials without a clear understanding of the mechanistic landscape underlying the complex, multi-step, multi-electron sulfur redox pathway. In fact, our understanding of the thermodynamic, kinetic, and mass transport framework in Li–S systems is still evolving, particularly with respect to the reaction pathways during charge and discharge, and the dynamic evolution of materials in both liquid and solid phases. These evolving insights may fundamentally shift the requirements for catalyst design and future research priorities. …
Degrees Of Rate Control And Autodiff-Driven Direct Sensitivity Analysis In Heterogeneous Catalysis,
2025
University of South Carolina - Columbia
Degrees Of Rate Control And Autodiff-Driven Direct Sensitivity Analysis In Heterogeneous Catalysis, Olajide H. Bamidele, Sina Behtash, Mubarak Bello, Andreas Heyden
Faculty Publications
Despite the wide application and benefits of the degree of rate control (DRC) analysis, several details remain argued, particularly about the conservation of DRCs at transient (TR) and steady-state (SS) conditions, especially for complex reaction networks. This work argues that previous proofs about the conservation properties of DRCs have been incomplete, and we provide new mathematical proofs at TR and SS conditions. In addition, we use both analytical (automatic differentiation) and numerical (finite difference) approaches to compute DRCs for the case study of ethane hydrogenolysis (EH) over Pt(111). This work confirms that at both TR and SS conditions, the sum …
Enhancing Aerosol Scattering Measurements: Performance Evaluation And Quality Assurance Of Airphoton Integrating Nephelometers In The Surface Particulate Matter Network,
2025
Washington University in St. Louis
Enhancing Aerosol Scattering Measurements: Performance Evaluation And Quality Assurance Of Airphoton Integrating Nephelometers In The Surface Particulate Matter Network, Kamlendra Singh Pathak
McKelvey School of Engineering Graduate Student Theses & Dissertations
Integrating nephelometers are key instruments for quantifying aerosol light scattering, a fundamental parameter governing the direct radiative effect of aerosols on climate and visibility, and for interpreting satellite observations of aerosol optical depth. The AirPhoton integrating nephelometer quantifies aerosol light scattering by measuring total scattering from the sample air and subtracting a clean-air reference that represents Rayleigh scattering, instrument wall scattering, and detector background noise. Measurement accuracy depends on rigorous calibration and regular performance evaluation to account for instrumental drift and environmental influences. This study presents a field performance evaluation of the AirPhoton integrating nephelometer within the global Surface Particulate …
Programmable Acoustofluidic Engineering For Creating Gradient Biomaterials,
2025
Duke University
Programmable Acoustofluidic Engineering For Creating Gradient Biomaterials, Jujing Lu, Ye He, Jianping Xia, Mingyuan Liu, Joseph Rich, Ke Jin, Ruoyu Zhong, Kaichun Yang, Jiao Qian, Ying Chen, Ke Li, Zhiteng Ma, Tony Jun Huang
Faculty Publications
Gradient biomaterials that exhibit spatially varying physical, chemical, or biological properties can be used in various applications such as tissue engineering, organoid development, mechanobiology, and spatially controlled drug delivery. However, current fabrication methods often suffer from limited gradient precision, restricted material compatibility, and poor reproducibility. Here, we introduced gradient regulation via acoustofluidic dynamic engineering (GRADE), a programmable system to generate high-fidelity gradient biomaterials across different material systems. By incorporating focused interdigital transducers with the pulsed surface acoustic wave actuation, GRADE can achieve tunable and directional acoustic streaming (0 to 22 millimeters per second), which allows accurate regulation of the gradient …
Assessment Of The Melt Quality Of A 30% Scrap Adc12 Aluminium Alloy Using The Inclusion And Fluidity Measurement Instrument (Ifmi) With Mullite Ceramic Filters,
2025
Department of Metallurgical and Materials Engineering, Faculty of Engineering, University of Indonesia, Depok, 16424, Indonesia
Assessment Of The Melt Quality Of A 30% Scrap Adc12 Aluminium Alloy Using The Inclusion And Fluidity Measurement Instrument (Ifmi) With Mullite Ceramic Filters, Gusti Ruri Ruri Lestari, Sandya Ananda Riswan, Muhammad Anis, Ahmad Ashari, Paramita Vidya Ayuningtyas, Bambang Suharno Prof, Donanta Dhaneswara
Journal of Materials Exploration and Findings
The increasing demand for sustainable practices in the metal casting industry has driven the use of recycled aluminum alloys such as ADC12. However, the addition of aluminum scrap tends to increase oxide inclusions, which reduce melt fluidity and compromise casting quality. This study utilizes the Inclusion and Fluidity Measurement Instrument (IFMI), equipped with mullite ceramic filters, to assess the melt quality of ADC12 aluminum alloy containing 30% scrap. Fluidity and inclusion characteristics were evaluated at five pouring temperatures (660°C, 680°C, 700°C, 720°C, and 740°C). The results show that fluidity increased with temperature, reaching a peak of 84.6 g·s⁻¹ at 740°C, …
Equipment Criticality Analysis To Determine Asset Integrity Management System Scheme In Supporting Production Optimization Scenarios In The Aeging Field,
2025
Departement Metallurgical and Materials, Faculty of Engineering Universitas Indonesia
Equipment Criticality Analysis To Determine Asset Integrity Management System Scheme In Supporting Production Optimization Scenarios In The Aeging Field, Donny Andryanto, Donanta Dhaneswara
Journal of Materials Exploration and Findings
This research investigates the production decline and cost increase in the X&Y oil and gas fields from 2022 to 2023. Production fell by 34%, while production costs per barrel rose by 79%. To address these issues, a series of optimization processes are proposed. These aim to restructure and enhance the production facilities to reduce current production costs. The optimizations include reducing pressure at the PPP Platform in 2024. Additional steps include shutting down CPP-ORF 14” pipelines and most processes at CPP 2 Platform by 2027 to convert it into an accommodation platform. Further, the plan involves optimizing the release of …
An Overview Of Biomass-Derived Graphene Oxide And Its Characteristics For Future Sustainable Applications,
2025
Department of Metallurgical and Materials Engineering, Faculty of Engineering, Universitas Indonesia, Depok, West Java 16424, Indonesia
An Overview Of Biomass-Derived Graphene Oxide And Its Characteristics For Future Sustainable Applications, Afif Wardana, Ahmad Nabil Shahab, Donanta Dhaneswara, Nofrijon Sofyan
Journal of Materials Exploration and Findings
The production of graphene oxide (GO) from biomass presents considerable promise as a sustainable alternative substitute for traditional semiconductors. Biomass waste, abundant and often underutilized worldwide, is distinguished by its high carbon content and regenerative characteristics, rendering it an optimal resource for sustainable material production. By heating its biopolymers, lignocellulosic biomass can be used as a new material to make graphene, which forms three-dimensional turbostratic crystallites. These crystallites, composed of partially defective aromatic carbon sheets with graphite-like characteristics, make it easier to create GO with specialized functions for cutting-edge applications. Its capability underscores the revolutionary potential of biomass waste in …
Morphological Test Of Areca Nut Fiber Ceramic Membrane Using Scanning Electron Microscopy Energy Dispersive X-Ray Mapping Spectroscopy,
2025
Department of Environmental Engineering, Faculty of Engineering, Universitas Batanghari, Kota Jambi, 36122, Indonesia
Morphological Test Of Areca Nut Fiber Ceramic Membrane Using Scanning Electron Microscopy Energy Dispersive X-Ray Mapping Spectroscopy, Amelia Marzain, Siti Umi Kalsum, Marhadi Marhadi, Ahmad Nabil Shahab
Journal of Materials Exploration and Findings
This study investigates the potential of ceramic membranes derived from areca nut fiber as a cost-effective and environmentally sustainable material for the removal of iron (Fe) and manganese (Mn) from groundwater. Two types of membranes were fabricated: one without activation and one chemically activated using 10% sodium hydroxide (NaOH). The morphological and elemental characteristics of both membranes were analyzed using Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray (EDX) mapping. The concentrations of Fe and Mn before and after treatment were measured using Atomic Absorption Spectroscopy (AAS). The NaOH-activated membrane exhibited a more porous surface structure and higher oxygen content, …
