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A Novel Prediction Method Based on Bi-Channel Hierarchical Vision Transformer for Rolling Bearings’ Remaining Useful Life
Wei Hao, Zhixuan Li, Guohao Qin, Kun Ding, Xuwei Lai, Kai Zhang.
April 28, 2023 (v1)
Keywords: channel fusion, deep learning, hierarchical vision transformer, remaining useful life prediction, rolling bearing.
Accurate prediction of the remaining useful life (RUL) of rolling bearings can effectively ensure the safety of complicated machinery and equipment in service. However, the diversity of rolling bearing degradation processes makes it difficult for deep learning-based RUL prediction methods to improve prediction accuracy further and provide generalizability for engineering applications. This study proposed a novelty RUL prediction model for rolling bearings based on a bi-channel hierarchical vision transformer to reduce the impact of the above problems on prediction accuracy improvement. Firstly, hierarchical vision transformer network structures based on different-sized patches were employed to extract depth features containing more degradation processes information from input samples. Second, the dual channel fusion method is implemented into classic RUL prediction networks based on a multi-layer fully connected network to improve prediction accuracy. With two distinct validation exper... [more]
Research on Adaptive Distribution Control Strategy of Braking Force for Pure Electric Vehicles
Jingang Liu, Lei Bu, Bing Fu, Jianyun Zheng, Gaosheng Wang, Lihong He, Yuliang Hu.
April 28, 2023 (v1)
Keywords: adaptive distribution control, braking force, electric vehicles, regenerative braking, synchronous adhesion coefficient.
The actual driving conditions of electric vehicles (EVs) are complex and changeable. Limited by road adhesion conditions, it is necessary to give priority to ensuring safety, taking into account the energy recovery ratio of the vehicle during braking to obtain better braking quality. In this work, an electric vehicle with an EHB (electro-hydraulic braking) system whose braking force adaptive distribution control strategy is studied. Firstly, the vehicle dynamics model, including seven degrees of freedom, tire, drive motor, main reducer, battery pack, and braking system, was constructed, which is attributed to the vehicle configuration and braking system scheme. Second, based on curve I and ECE regulations, the adaptive braking force distribution control strategy was formulated by taking the maximum regenerative braking torque as the inflection point, the synchronous adhesion coefficient as the desired point, and the battery SOC, road adhesion coefficient, and braking strength as the th... [more]
Study on Mechanism and Verification of Columnar Penetration Grouting of Time-Varying Newtonian Fluids
Xuguang Zhao, Zhiquan Yang, Xiangrui Meng, Shaobin Wang, Rui Li, Hanhua Xu, Xiangpeng Wang, Changwen Ye, Tianbing Xiang, Wanzhong Xu, Junzhi Chen, Ping Wang, Jinke Yuan, Xiaohui Li.
April 28, 2023 (v1)
Subject: Materials
Keywords: columnar penetration grouting mechanism, grouting experiments, Newtonian fluid, viscosity degeneration.
Penetration grouting technology is an important technical means to improve the mechanical properties of gravel soil layers, and the time-varying characteristics of Newtonian fluid viscosity have an important influence on the morphology and effect of penetration grouting. However, these time-varying properties are not considered in the current research on the mechanism of Newtonian fluid penetration grouting. In this paper, by studying the basic rheological equation of Newtonian fluids and its dynamic viscosity time-varying law, the penetration motion equation of viscosity time-varying Newtonian fluids is discussed, by means of theoretical analysis and experimental research. Based on this, the time-varying viscosity Newtonian fluid columnar penetration grouting diffusion mechanism (TVNCPGDM) equation is derived, the application scope of the equation is analyzed and a grouting experiment is designed to verify it. The results show that the theoretical value of the grouting diffusion radiu... [more]
Research on a Multi-Agent Cooperative Control Method of a Distributed Energy Storage System
Tao Shi, Xuan Qiu, Chunsheng Tang, Linan Qu.
April 28, 2023 (v1)
Keywords: active control, cooperative control, distributed energy storage, multi-agent, new power system.
For the flexible regulation requirements of new power systems with a high proportion of new energy, this paper proposes a multi-point distributed energy storage system control method based on the idea of multi-agent cooperative control. On the one hand, the method transforms and upgrades the strategies of each distributed battery energy storage control system to make it a terminal agent with active response and control functions; on the other hand, a coordination agent is set between the power grid and each terminal agent, the coordinated control of the distributed energy storage system is realized by the information interaction between the coordination agent and the terminal agent. The simulation results show that the method can fully exploit the aggregate regulation ability of the distributed energy storage system, quickly stabilize the frequency fluctuation of new energy, and support the safe and economical operation of the system.
Progress in Electrodeposited Copper Catalysts for CO2 Conversion to Valuable Products
Kranthi Kumar Maniam, Madhuri Maniam, Luis A. Diaz, Hari K. Kukreja, Athanasios I. Papadopoulos, Vikas Kumar, Panos Seferlis, Shiladitya Paul.
April 28, 2023 (v1)
Subject: Materials
Keywords: carbon capture utilisation and storage, carbon dioxide electroreduction, CCS, CCUS, copper, electrodeposition, oxide-derived copper.
Carbon capture, utilisation and storage (CCUS) is a key area of research for CO2 abatement. To that end, CO2 capture, transport and storage has accrued several decades of development. However, for successful implementation of CCUS, utilisation or conversion of CO2 to valuable products is important. Electrochemical conversion of the captured CO2 to desired products provides one such route. This technique requires a cathode “electrocatalyst” that could favour the desired product selectivity. Copper (Cu) is unique, the only metal “electrocatalyst” demonstrated to produce C2 products including ethylene. In order to achieve high-purity Cu deposits, electrodeposition is widely acknowledged as a straightforward, scalable and relatively inexpensive method. In this review, we discuss in detail the progress in the developments of electrodeposited copper, oxide/halide-derived copper, copper-alloy catalysts for conversion of CO2 to valuable products along with the future challenges.
Multi-Objective Multi-Stage Optimize Scheduling Algorithm for Nonlinear Virtual Work-Flow Based on Pareto
Zhiyong Luo, Xintong Liu, Shanxin Tan, Haifeng Xu, Jiahui Liu.
April 28, 2023 (v1)
Keywords: manufacturing process, multi-objective, pareto, staged scheduling optimization, work-flow.
Work-flow scheduling is for finding the allocation method to achieve optimal resource utilization. In the scheduling process, constraints, such as time, cost and quality, need to be considered. How to balance these parameters is a NP-hard problem, and the nonlinear manufacturing process increases the difficulty of scheduling, so it is necessary to provide an effective heuristic algorithm. Aiming at these problems, a multi-objective nonlinear virtual work-flow model was set up, and a multi-objective staged scheduling optimization algorithm with the objectives of minimizing cost and time and maximizing quality was proposed. The algorithm includes three phases: the virtualization phase abstracts tasks and services into virtual nodes to generate a virtual work-flow model; the virtual scheduling phase divides optimized segments and obtains the solution set through reverse iteration; the generation phase obtains the scheduling path according to the Pareto dominance. The proposed algorithm pe... [more]
A Mesoscale Simulation Approach to Study the Flow Field in an Axial Granular Bed Filter
Tao Liu, Zhifeng Zhao, Ruojin Wang, Meng Tang, Dewu Wang, Shaofeng Zhang.
April 28, 2023 (v1)
Keywords: dust-removal efficiency, granular bed filter, mesoscale, numerical simulation, pressure drop.
In an axial granular bed filter (GBF), a new mesoscale simulation approach is obtained by combining the macroscopic calculation models, i.e., the equations of the total pressure drop and dust-removal efficiency into the porous media model and the source term of the conservation equations. After grid-dependent tests and experimental validation, the effects of different conditions, i.e., granular bed height L, superficial gas velocity ug, dust diameter dp, dust concentration cp, granular diameter dg, initial bed voidage ε0, and filtration time t, on the pressure drop and dust-removal efficiency are investigated. The results show that the pressure drop is related to the inertial and viscous resistance terms, which increase with increasing L, ug, cp and t and decreasing ε and dg. The dust-removal efficiency is related to the Reynolds number, effective Stokes number, and equivalent granular diameter ratio. It increases with increasing L, ug, dp and t (small values), and decreasing cp, ε, an... [more]
Study and Validation of a Novel Grouting Clamp Type Deepwater Oilfield Pipeline Repair Method Based on Computational Fluid Dynamics
Yuliang Lu, Dongtao Liu, Xinjie Wei, Qiaogang Xiao, Jiming Song, Yajun Yu.
April 28, 2023 (v1)
Keywords: Computational Fluid Dynamics, deepwater field, numerical simulation, pipeline repair, plugging agent.
In order to handle the corrosion of underwater production pipe sinks in deepwater oil fields, a non-solid phase silicone plugging agent, an external clamp, and an underwater injection tool are combined in this paper’s innovative pipeline repair technique proposal. The optimal main agent to curing the agent ratio for non-solid phase silicone plugging agents was found to be 100:25, which was achieved through an experimental examination of the curing process. The compressive and cementing strength changes in the curd plugging agent were disclosed by testing and evaluating the mechanical behavior of the plugging agent. In addition, the limits of the compressive and cementing strength were found to be 143 MPa and 11.6 MPa, respectively. Based on this, a computational-fluid-dynamics(CFD)-based analytical approach of the complicated flow field in a deep sea environment on the eroding impact of a plugging agent was developed. Through numerical simulation testing, the mathematical relationship... [more]
Liquid−Liquid Phase Separation of Two Non-Dissolving Liquids—A Mini Review
Dragana Dimitrijević, Markus Bösenhofer, Michael Harasek.
April 28, 2023 (v1)
Keywords: centrifugation, electrostatic coalescers, gravity decanters, immiscible liquids, liquid–liquid separation, liquid–liquid separation equipment, separated phase recycling, ultrafiltration.
The separation of immiscible liquids is critical in many industrial processes, such as water treatment, different extraction processes, the petroleum industry, food production, and medicine. This work provides an overview of present research on the separation of liquid mixtures. A brief summary of the thermodynamic basis is provided, covering phase equilibrium, phase diagrams, and thermodynamic properties of phases. Additionally, the fundamentals of dispersion, necessary for discussing liquid−liquid separation, are presented. Subsequently, different liquid−liquid separation methods are discussed, highlighting their advantages and limitations. These methods include decanters, coalescers, centrifugal separators, membranes and electro-coalescers for liquid−liquid separation. Phase properties, dispersion formation, and time and space constraints specify the most efficient separation method. Phase recycling is also briefly discussed as a method to reduce the environmental impact of liquid−l... [more]
Enthalpic Determination of the Interaction of Modified Activated Carbons with Benzene and Hexane as Pure Solvents and Binary Mixtures
Diana Hernández-Monje, Liliana Giraldo, Jarosław Serafin, Juan Carlos Moreno-Piraján.
April 28, 2023 (v1)
Subject: Materials
Keywords: activated carbon, benzene, enthalpy of immersion, hexane, immersion calorimetry.
Three activated carbons with different physicochemical characteristics are prepared and their N2 isotherms at 77 K and CO2 isotherms at 273 K are determined. The energetic interaction between three activated carbons with different physicochemical properties, and two hydrocarbons as pure liquids and as binary mixtures at different concentrations, was characterized by determining the enthalpy of immersion, in order to evaluate the effect of adsorbents and adsorbates, as well as that of the addition of another adsorbate to the system. For the pure solvents, the enthalpy of immersion (ΔHi) is higher for the aromatic compound (−94.98 to −128.80 J g−1) than for the aliphatic compound (−16.36 to −53.35 J g−1); for the mixtures, the values are between −36.39 and −98.37 J g−1, where the interaction increases with the solid that was subjected to thermal treatment and presented the lowest content of surface oxygenated groups, while the energetic parameter decreases with the solid that presents ch... [more]
Spray Printing of Porous Substrates from Nanosuspensions
David H. Panduro Vela, Carola Schlumberger, Matthias Thommes, Andreas Bück.
April 28, 2023 (v1)
Subject: Materials
Keywords: drop-on-demand, drying, porosity, suspension, textural characterization.
In this work, we present and characterise an experimental setup that allows the generation of porous packings from nanosuspensions. By defined positioning and drying of solid-containing droplets, large-scale porous structures can be generated. Examples of such structures are shown and characterised. Operational challenges are presented, and it is discussed how they can be overcome to allow the maximum degree of freedom in packing generation.
Portable NIR Spectroscopic Application for Coffee Integrity and Detection of Adulteration with Coffee Husk
Vida Gyimah Boadu, Ernest Teye, Charles L. Y. Amuah, Francis Padi Lamptey, Livingstone Kobina Sam-Amoah.
April 28, 2023 (v1)
Keywords: adulteration, chemometric, coffee, portable NIR spectroscopy, pure.
Reliable and user-friendly discrimination of coffee bean integrity and quantification of adulteration in the coffee bean processing value chain would be vital for ensuring consumer trust in quality control and traceability management. In this research, a portable short-wave NIR spectroscopy coupled with chemometric data analysis was employed under different pre-treatments to develop a rapid detection technique. Different pre-processing treatments (multiplicative scatter correction; MSC, standard normal variant; SNV, first derivative; FD) together with multivariate techniques; support vector machine (SVM), linear discriminant analysis (LDA), neural network (NN), and random forest (RF) were comparatively assessed using accuracy and correlation coefficient (R) for discrimination and quantification. The results showed that the FD-LDA model had 97.78% and 100 % in both the calibration set and prediction set. In comparison, the SPA-PLS model had R = 0.9711 and 0.9897 in both the calibration... [more]
LightGBM-Integrated PV Power Prediction Based on Multi-Resolution Similarity
Yan Peng, Shichen Wang, Wenjin Chen, Junchao Ma, Chenxu Wang, Jingwei Chen.
April 28, 2023 (v1)
Keywords: 1DCNN-LSTM, LightGBM, photovoltaic power forecasting, similar-day, similar-time.
Improving the accuracy of PV power prediction is conducive to PV participation in economic dispatch and power market transactions in the distribution network, as well as safe dispatch and operation of the grid. Considering that the selection of highly correlated historical data can improve the accuracy of PV power prediction, this study proposes an integrated PV power prediction method based on a multi-resolution similarity consideration that considers both trend similarity and detail similarity. Firstly, using irradiance as the similarity variable, similar-days were selected using grey correlation analysis to form a set of similar data to control the similarity, with the overall trend of the day to be predicted at a macro level. Using irradiance to calculate the similarity at each specific point in time via Euclidean distance, similar-times were identified to form another set of similar data to consider the degree of similarity in detail. The above approach enables the selection of si... [more]
Biofuel Blends for Desalination Units: Comparison and Assessments
Ashraf Elfasakhany.
April 28, 2023 (v1)
Keywords: assessment, biofuel blends, comparison, desalination, dual, ternary.
Although desalinations with renewables were introduced some time ago, conventional desalination units are still applied. Conventional desalinations account for 90% of desalinations worldwide. Yet, they have two significant issues: a high demand for energy and a high level of environmental contaminants. Such issues are studied and remedies are suggested in the current study. Varieties of biofuel blends in dual and ternary bases are investigated experimentally for indirect desalination. Results showed that ternary blends can introduce lower desalination potentials than fossil fuels by about 4−7%. The best ternary blends for the indirect desalination process are iBE, followed by niB, and finally EM. The EGT of iBE is greater than niB and EM by about 1.1 and 1.2%, respectively. Both n-butanol/iso-butanol−gasoline dual blends introduced an almost similar desalination potential as the ternary blends (e.g., lower desalination by about 4.4 and 4.7%). Nevertheless, bio-ethanol/bio-methanol−gaso... [more]
Preparation and Magneto-Structural Investigation of High-Ordered (L21 Structure) Co2MnGe Microwires
Mohamed Salaheldeen, Asma Wederni, Mihail Ipatov, Valentina Zhukova, Arcady Zhukov.
April 28, 2023 (v1)
Subject: Materials
Keywords: Heusler alloys, L21 and B2 phases structure, magneto-structural characterization, microwires, secondary phases.
We used the Taylor−Ulitovsky technique to prepare nanocrystalline Co2MnGe Heusler alloy glass-coated microwires with a metallic nucleus diameter of 18 ± 0.1 µm and a total diameter of 27.2 ± 0.1 µm. Magnetic and structural studies were carried out to determine the fundamental magneto-structural characteristics of Co2MnGe glass-coated microwires. XRD revealed a well-defined nanocrystalline structure with an average grain size of about 63 nm, lattice parameter a = 5.62 and a unique mixture of L21 and B2 phases. The hysteresis loops measured at different temperatures indicated a well-known ferromagnetic behavior for the reduced remanent, where a monotonic increasing in the reduced remanent and saturation magnetization occurs. The coercivity shows anomalous behavior compared to the Co2Mn-based glass-coated microwires. The magnetization curves for field cooling and field heating (FC−FH) demonstrate a considerable dependence on the applied magnetic field, ranging from 50 Oe to 20 kOe. Intern... [more]
Integrated a Fused Silica Capillary Cell and In Situ Raman Spectroscopy for Determining the Solubility of CO2 in n-Decane and n-Decane + n-Hexane System
Junliang Wang, Zhenzhen Zhang, Quanyuan Wang, Tianhong Lou, Zhiyan Pan, Mian Hu.
April 28, 2023 (v1)
Subject: Materials
Keywords: CO2 solubility, n-decane, n-decane + n-hexane, Raman spectroscopy.
Understanding the solubility of CO2 is critical for implementing CO2-enhanced oil recovery (CO2-EOR). In this work, the solubility of CO2 in n-decane in a temperature range between 303.15 K and 353.15 K and pressures up to 15 MPa was measured using a fused silica capillary cell with in situ Raman spectroscopy. A semi-empirical CO2 solubility prediction model was obtained according to the experimental results. In order to improve the solubility of CO2 in n-decane, the solubility of CO2 in n-decane and co-solvent n-hexane (3% wt) mixture was also comparatively investigated. The results indicated that the solubility of CO2 in n-decane was 1.6355~64.0084 mol/kg. The data from the prediction model were in good agreement with the experimental data, and the mean relative deviation was 3.65%, indicating that the prediction model could be used to predict the solubility of CO2 in n-decane under different conditions. The solubility of CO2 in n-decane + n-hexane system ranged from 1.0127 mol/kg to... [more]
Temporal and Spatial Distribution Characteristics of Microplastics and Their Influencing Factors in the Lincheng River, Zhoushan City, China
Lu Cao, Wei Chen, Yudong Wang, Sen Li, Zhiyuan Jin, Jiayin Bian, Qiang Li, Mingchang Li.
April 28, 2023 (v1)
Subject: Environment
Keywords: basin development index, microplastics, river entering the ocean, spatial and temporal variation.
Microplastics (MPs), a new type of pollutant, pose a significant threat to the environment at high concentrations. One of the primary sources of MPs in the ocean is river runoff, highlighting the need to investigate the spatial and temporal variations of MPs in rivers that flow into the sea, as well as their contributing factors. In this study, we analyzed MPs distribution and their influence factors in the Lincheng River, China. The Lincheng is the second largest river in Zhoushan island that directly flows into the ocean. MPs in the river water and sediments were detected during the wet season (July 2021), the dry season (November 2021) and the typhoon season (September 2021), and MPs were present in all reaches of the river. The abundance of MPs in the river was moderate compared to other studies, with the river water exhibiting a concentration of 15 ± 2.64 n/L and the sediment containing 318.24 ± 49.53 n/kg of MPs. In surface water, the most commonly found MP was blue man-made cell... [more]
A Novel Ascorbic Acid Based Natural Deep Eutectic Solvent as a Drilling Mud Additive for Shale Stabilization
Muhammad Hammad Rasool, Maqsood Ahmad, Muhammad Ayoub, Muhammad Adeem Abbas.
April 28, 2023 (v1)
Subject: Other
Keywords: clay mineralogy, drilling fluid, ionic liquids, NADES, shale swelling.
During drilling, almost 70% of wellbore instability issues result from the encountering of shale formations. Various additives such as salts, silicates, and polymers are used in water-based mud to enhance its shale-inhibition capability; however, such additives have certain limitations. Lately, ionic liquids and deep eutectic solvents (DES) have been used by various research groups as shale inhibitors in drilling fluid due to their biodegradability and efficacy. However, their popularity faded when a natural derivative of DES, i.e., Natural Deep Eutectic solvent (NADES), came into the picture. This research utilizes the in-house-prepared Ascorbic acid and Glycerine (AA:Gly)-based NADES as a drilling fluid additive for shale inhibition and compares its efficacy with counterpart inhibitors such as KCl, imidazolium-based ionic liquid, and Choline Chloride-based DES. The results show that 3% NADES improved the overall Yield point to Plastic viscosity ratio, with a 39.69% decline in mud cak... [more]
Flow-Induced Vibration of a Reversed U-Shaped Jumper Conveying Oil-Gas Two-Phase Flow
Hongjun Zhu, Tang Tang, Quanhua Li.
April 28, 2023 (v1)
Keywords: flow pattern evolution, flow-induced vibration, fluid–structure interaction, gas–liquid two-phase flow, reversed U-shaped jumper.
Subsea jumpers connecting the underwater wellhead and nearby manifold commonly undergo flow-induced vibration (FIV) due to the spatially frequent alteration in the flow direction, velocity, pressure and phase volume fraction of the oil−gas two-phase flow, potentially leading to fatigue damage. This paper reports the numerical results of the FIV of a reversed U-shaped jumper excited by gas−liquid two-phase flow, which evolves from the initial slug flow with a fixed gas−liquid ratio of 1:2 when transporting through the jumper. The FIV response and flow pattern evolution are examined with a gas flow rate of Qg = 4−12 kg/s and a liquid flow rate of QL = 96−288 kg/s. When the gas−liquid flow passes through the jumper, the flow regime subsequently presents the slug flow, bubble flow, churn flow and imperfect annular flow. The out-of-plane response frequency coincides with the pressure fluctuation frequency for the four connecting bends, suggesting the fluid−structure interaction (FSI). Never... [more]
Optimization of Partially Hydrolyzed Polyacrylamide (HPAM) Utilized in Water-Based Mud While Drilling
Asma Nour El Houda Sid, Benalia Kouini, Mohammed Amin Bezzekhami, Selma Toumi, Khadidja Ouchak, Sara Benfarhat, Hichem Tahraoui, Mohammed Kebir, Abdeltif Amrane, Aymen Amine Assadi, Jie Zhang, Lotfi Mouni.
April 28, 2023 (v1)
Subject: Materials
Keywords: aging, drilling mud, HPAM, Optimization, rheology, thermal aging.
Water-soluble polymers are becoming increasingly important in various applications, such as stabilizer fluids and drilling muds. These materials are used as viscosifiers and filtration control agents, flocculants, and deflocculants due to their superior properties in increasing viscosity and gelling ability in the presence of crosslinkers. In general, studying the rheological behavior of drilling fluids is of paramount importance to ensure successful well drilling operations. Partially hydrolyzed polyacrylamide is one of the polymers widely used in water-based muds. The main objective of this study is to optimize the rheological properties of drilling muds through a characterization study of various parameters, including rheological behavior, viscosity, temperature (23 °C, 40 °C, and 60 °C), salinity using KCl and NaCl contents, aging, pH, solubility, and structural analysis using infrared of partially hydrolyzed polyacrylamide. The study aims to demonstrate the importance of using pol... [more]
Adversarial Training Collaborating Multi-Path Context Feature Aggregation Network for Maize Disease Density Prediction
Wei Yang, Peiquan Shen, Zhaoyi Ye, Zhongmin Zhu, Chuan Xu, Yi Liu, Liye Mei.
April 28, 2023 (v1)
Keywords: adversarial training, context feature aggregation, maize disease, patch embedding.
Maize is one of the world’s major food crops, and its yields are closely related to the sustenance of people. However, its cultivation is hampered by various diseases. Meanwhile, maize diseases are characterized by spots of varying and irregular shapes, which makes identifying them with current methods challenging. Therefore, we propose an adversarial training collaborating multi-path context feature aggregation network for maize disease density prediction. Specifically, our multi-scale patch-embedding module uses multi-scale convolution to extract feature maps of different sizes from maize images and performs a patch-embedding operation. Then, we adopt the multi-path context-feature aggregation module, which is divided into four paths to further extract detailed features and long-range information. As part of the aggregation module, the multi-scale feature-interaction operation will skillfully integrate rough and detailed features at the same feature level, thereby improving predictio... [more]
Extension of the Equilibrium Stage Model to Include Rigorous Liquid Holdup Calculations for Reactive Distillation
Lionel Noll, Louis van der Ham, Stijn Oudenhoven, Antoon ten Kate, Gerrald Bargeman, Sascha Kersten.
April 28, 2023 (v1)
Keywords: liquid holdup modelling, Reactive Distillation, reactive tray design.
An extension of the equilibrium stage model to improve its applicability to reactive distillation is presented. The significant aeration of the liquid holdup on trays leads to the amount of clear liquid present being significantly less than the volume available. Tray hydraulic correlations are incorporated by leveraging the existing inside-out algorithm to rigorously calculate the liquid holdup on distillation trays, turning this parameter into an additional model output and eliminating the need to estimate this parameter beforehand. Application of this extended model shows that the aeration of the liquid holdup cannot be neglected for systems where the reaction kinetics limit the reactive productivity, and leads to column designs where additional reactive trays are needed to provide adequate reactive capacity. The workflow of this model provides a more robust path to obtaining reactive distillation column and tray designs that comply with liquid holdup requirements and tray hydraulic... [more]
Experimental Study on Mechanical Properties of Automatic Anchoring Preloaded Energy Absorbing Anchor Rods
Zhi Tang, Wenbo Zuo, Xiaoqiao Cai, Dezhi Chang, Chunye Wu.
April 28, 2023 (v1)
Subject: Materials
Keywords: anchor design, energy absorbing anchor, mechanical properties, roadway support, rock burst.
In order to enhance the anti-impact mechanical properties of the roadway support system, an automatic anchoring pre-tightening energy absorbing anchor composed of rod body, tray, constant resistance energy absorber, energy-absorbing casing bulging block, pre-tightening force warning washer, and nut and anchorage force warning stopper was designed and developed for the special requirements of rock burst roadway support. The anchor can automatically judge the anchoring force and pre-tightening force of the anchor, and also has the functions of energy absorption and early warning. The static load tensile test and impact test are used to study the mechanical properties of the energy absorbing anchor, such as the displacement distance, energy absorption, and impact time, and they are then compared with the mechanical properties of the conventional anchor. It is concluded that under static load, the yielding distance of the energy absorbing anchor is 1.67 times that of conventional anchor. T... [more]
Experimental Optimization of High-Temperature-Resistant and Low Oil—Water Ratio High-Density Oil-Based Drilling Fluid
Zhenzhen Shen, Heng Zhang, Xingying Yu, Mingwei Wang, Chaoli Gao, Song Li, Haotian Zhang.
April 28, 2023 (v1)
Keywords: anti-collapse, deep shale gas, high density, horizontal well, low Oil—Water ratio, oil-based drilling fluid.
Problems such as well loss and collapses in deep shale gas drilling are most often due to the development of cracks in the shale formation, resulting in significant leaks of drilling fluid, the sticking and burrowing of drilling tools, and other engineering accidents. In addition, the horizontal sections of wells are very long and issues of friction, rock transport, and formation contamination loom large. As a result, the performance of drilling fluids directly affects drilling efficiency, engineering accident rates, and reservoir protection effects. We first analyze the mechanisms of each emulsifier in an oil-based drilling fluid formulation and the filtration reduction mechanisms, taking into account the collapse-prone and abnormally high-pressure characteristics of shale formations. We undertake an experimental evaluation and optimization of polymeric surfactants, such as primary and secondary emulsions for high-performance oil-based drilling fluids. The design of rigid and deformab... [more]
A Bootstrap-Based Tooth Surface Errors Statistics Methodology for Batch Hypoid Gears after Heat Treatment
Jubo Li, Weihao Sun, Yan Zhao, Jianxin Su, Tianxing Li, Hengbo Zhao, Huijie Zhang.
April 28, 2023 (v1)
Keywords: bootstrap, heat treatment, hypoid gears, statistics scheme, tooth surface errors.
In the manufacturing and production of hypoid gears, it is a necessary key problem to improve the tooth surface heat treatment precision and production efficiency of the hypoid gears. How to use advanced statistical theory and methods to evaluate the whole batch machining quality of the tooth surface after heat treatment is particularly urgent. In this connection, for the same batch of hypoid gears with the same gear material, numerical control gear milling method, and heat treatment specifications, a bootstrap-based statistics scheme of tooth surface errors after heat treatment is proposed in this paper. The bootstrap statistics model of the tooth surface errors for the batch hypoid gears is established. The bootstrap probability eigenvalues and confidence intervals of the measurement sequence points on the tooth surface errors are solved, and the optimizing selection of the single sampling numbers and the repeated sampling times is completed. On this basis, by applying the cubic NURB... [more]
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