Process Flow Research Articles

Early-Stage Flow Process Development of a Key Intermediate toward PF-07265807, an AXL-MER Inhibitor Oncology Candidate

Early-Stage Flow Process Development of a Key Intermediate toward PF-07265807, an AXL-MER Inhibitor Oncology Candidate

Rancang Bangun Sistem Informasi Manajemen Operasional Dilengkapi dengan Penjualan Sparepart pada Bengkel MJM

MJM is a leading workshop in Malang that focuses on car repairs and is known for its reliable reputation and quality service on Jl. Lake Tondano Raya F5/A26, Sawojajar. These workshops offer a variety of services, from engine to car body repairs, which makes manual transactions difficult and time-consuming due to increased service and cost complexity. This research aims to simplify transaction and operational processes in MJM workshops by developing supporting applications that include recording customer transactions, spare parts stock management, monitoring employee attendance, and mechanic payroll. The information technology provided can improve service quality, optimize operations, strengthen competitiveness, enable a sustainable approach, increase data accuracy, and support more timely decisions. The methodology used is waterfall, which follows a certain flow process starting from requirements analysis, planning, design, software development, testing, to the maintenance stage. The research focus is on the initial development of the system to ensure that the system functions well in the maintenance phase. The Operational Management Information System designed for MJM workshops includes important features such as recording spare parts, purchase and sale transactions for spare parts, service and car wash transactions, stock taking records, management of damaged or lost goods, stock cards, cash flow, and reports. transaction. This system is expected to reduce manual errors, provide better service, and improve overall operational performance.

Two deep learning methods in comparison to characterize droplet sizes in emulsification flow processes

AbstractFor reliable supervision in multiphase processes, the droplet size represents a critical quality attribute and needs to be monitored. A promising approach is the use of smart image flow sensors since optical measurement is the most commonly used technique for droplet size distribution determination. For this, two different AI-based object detection methods, Mask RCNN and YOLOv4, are compared regarding their accuracy and their applicability to an emulsification flow process. Iterative optimization steps, including data diversification and adaption of training parameters, enable the models to achieve robust detection performance across varying image qualities and compositions. YOLOv4 shows better detection performances and more accurate results which leads to a wider application window than Mask RCNN in determining droplet sizes in emulsification processes. The final droplet detection model YOLOv4 with Hough Circle (HC) for feature extraction determines reliable droplet sizes across diverse datasets of liquid-liquid flow systems (disperse phase content 1–15 vol.-%, droplet size range 5–150 μm). Evaluating the adjustment of Confidence Scores (CS) ensures statistical representation of even smaller droplets. The droplet detection performance of the final YOLOv4 model is compared with a manual image processing method to validate the model in general as well as its accuracy and reliability. Since YOLOv4 in combination with Hough Circle (HC) shows an accurate and robust detection and size determination, it is applicable for online monitoring and characterization of various liquid-liquid flow processes. Graphical abstract

The impact of the correlation coefficient of interarrival and service times on queueing performance: The [formula omitted] case

This paper is concerned on an M/M/1 queue with correlated interarrival and service times. In particular, we assume that the interarrival time and service time of a customer have a bivariate exponential distribution. By utilizing a Markov modulated fluid flow (MMFF) process associated with the age process of the customer in service, we obtain a number of queueing quantities in closed form. Using the solutions, the impact of the correlation coefficient of the interarrival and service times on a variety of queueing quantities is explored quantitatively and qualitatively. Specifically, we establish a monotonic relationship between the decay rates of queueing quantities and the correlation coefficient of the interarrival and service times. We also show that the decay rates are increasing in the correlation coefficient. In addition, queues with the maximum/minimum correlation coefficient are analyzed. Two examples are presented to demonstrate the importance of using the correlation coefficient in queueing performance/economic analysis.

Slag after Smelting of Anode Mud: Role of Sulphiding Sintering

The study object was slag from the Balkhash copper smelter, obtained by re-melting anode mud containing nonferrous metals. The process flow for processing these slags includes sintering with Na2SO4, Na2CO3, and coal, followed by soda-alkaline leaching of the sinter and extraction of metals from the solution into marketable products. Since sintering is the main operation providing high selectivity, the composition of the products of this process was studied. The main transformations during sintering were determined, and the optimal parameters were identified. The structures of slags and sintered materials obtained during the experiments were studied by electron-probe microanalysis. Sintering was performed at 600–800 °C. The best results for sulphidization of slag components were obtained at 800 °C; a further increase in temperature leads to the smelting of sinter particles and slows down sulphidization. The optimal quantities of additives, based on the weight of the slag, are Na2SO4—45%, Na2CO3—15%, and reducing agent—41%, with a sintering time of 2 h. These conditions enable the sulphidization of non-ferrous metals in the slag to the entire depth of the polymetallic globules. The distinct concentration of harmful impurities (Ni, As, and Sb) was observed in the fine structure of the polymetallic globules.

Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development

New products must be formulated rapidly to succeed in the global formulated product market; however, key product indicators (KPIs) can be complex, poorly understood functions of the chemical composition and processing history. Consequently, scale-up must currently undergo expensive trial-and-error campaigns. To accelerate process flow diagram (PFD) optimisation and knowledge discovery, this work proposed a novel digital framework to automatically quantify process mechanisms by integrating symbolic regression (SR) within model-based design of experiments (MbDoE). Each iteration, SR proposed a Pareto front of interpretable mechanistic expressions, and then MbDoE designed a new experiment to discriminate them while balancing PFD optimisation. To investigate the framework’s performance, a new process model capable of simulating general formulated product synthesis was constructed to generate in-silico data for different case studies. The framework effectively discoverd ground-truth process mechanisms within a few iterations, indicating its great potential for the general chemical industry for digital manufacturing and product innovation.

Sustainable synthesis of 2-ethyl hexyl oleate via lipase-catalyzed esterification: A holistic simulation and cost analysis study

Lipase catalyzed synthesis of fatty acid esters has recently attracted much attention as it represents a cleaner production route compared to the conventional energy intensive chemical method. In this study, the technical and economic viability of 2-ethyl hexyl oleate (2-EHO) synthesis by the catalytic esterification of oleic acid (OA) and 2-ethyl hexyl alcohol (2-EHA) in a stirred tank reactor using Novozym 435 (Candida antarctica lipase B) was investigated. A conversion rate of 91% was obtained by adopting the subsequent optimized parameters: 4% enzyme amount, 2 h reaction time, 4:1 M ratio of alcohol to fatty acid, 150 rpm stirring speed, and 60 °C temperature. The lipase operational stability study showed that enzymes can be used for 30 successive cycles without significant lose in activity. The use of Aspen Plus simulator enabled the development of a detailed process flow diagram, which significantly improved the understanding of this clean production method and assessed the overall costs. A holistic cost analysis revealed a production cost of $2109 per ton of 2-EHO, thereby yielding an approximate 28% profit margin relative to prevailing market rates. Rigorous financial assessments corroborated the project's viability, substantiating a net present value (NPV) of $14.7 MM, a return on investment (ROI) of 583.91% (plant life time = 15 years), projected Payback Period stands at 6 years, and an internal rate of return (IRR) of 23%. These results confirm the technical and economic feasibility of lipase catalyzed production of 2-EHO, highlighting its potential as an environmentally and profitable approach in the synthesis of fatty acid esters.

Addition of Milkfish (Chanos chanos) Bone Meal into the Churros Product

Milkfish production in Karawang in 2016 was 19,166 tonnes which resulted in high bone waste. Therefore, there is a need for innovation in the utilisation of milkfish bone meal as a nutritional enhancer for churros products. The purpose of this study was to determine the process flow of making churros with the addition of milkfish bone meal, determine the quality of hedonic test, determine the chemical quality of microbiological levels, determine the appropriate packaging and business analysis of churros. Churros were made in four treatments with formulations F0 without the addition of milkfish bone meal, F1 2.5%, F2 5%, and F3 7.5%. The results showed that hedonic testing of churros with F3 was the best formulation with a moisture content of 5.73%, the highest moisture content was 37.9% in F0. Ash content in F0 0.56%, F1 2.26%, F2 2.83%, F3 4.13. The calcium content in sample F0 was 10.8.99 mg/100g, F3 1470.71 mg/100g. The results of phosphorus testing on churros, sample F0 as much as 982.2 mg / kg, while in F3 has a phosphorus content of 6,516.75 mg / kg. The ALT test results on F0 and F3 churros have met the SNI 8372: 2018 standard with a value of 2.5 x 103 colonies/gram in all samples. The results of the business analysis of milkfish bone meal churros are said to be feasible with a selling price of 45,000 per package.

Effect of gas adsorption characteristics of SiC on porosity defects in SiCP/A359 composites

This study systematically investigates the gas adsorption characteristics of silicon carbide (SiC) as a potential contributor to defects, including shrinkage and porosity, in SiC particle reinforced Aluminum (SiCp/Al) composites. Key factors affecting these composite materials defects such as SiC particle size, gas atmosphere, and gas pressure, are comprehensively explored. The research begins by elucidating the mechanism through which the melt absorbs gas during the processing flow. Additionally, mathematical models correlating [O] growth with temperature and [N] peak contentwith gas pressure are established. The paper concludes by proposing effective strategies to diminish defects and enhance the purity of composite materials. These strategies include reducing melting time, decreasing melting temperature, increasing the vacuum during melting, and implementing high-temperature degassing.

Removal of formaldehyde from the air flow in an electrochemical process

This study employed an electrochemical process to eliminate formaldehyde from contaminated air streams. Various factors that influence the process, including electrode material, inter-electrode distance, air injection site, applied voltage, electrical power, current density, pH, reaction time, electrolyte type, concentration, and formaldehyde's initial concentration were investigated. Findings revealed optimal percentage decrease in concentration (χ), reaching 100 %, using aluminum (Al) electrodes with a 1 cm gap between them. Potassium Persulfate (PP) was found to have superior χ compared to sodium thiosulfate (STH). Regarding the air injection site, the higher χ was noted at the cathode (98.9 ± 0.85 %) than at the anode (95.2 ± 0.99 %). Efficiency escalated from 85.1 % at 7.5 volts to 100 % at 15 volts and, for current density, from 89.18 % at 0.042 amps to 100 % at 0.159 amps. Conversely, efficiency for air flow diminished from 100 % at 0.1 l/min to 27.32 ± 2.7 % at 4.4 l/min. Additional factors were also explored, including removing formaldehyde in the reactor's liquid phase and mineralization. Outcomes suggest that formaldehyde reacts with water, eventually transforming into carbon dioxide. Moreover, the reaction kinetics for both electrolytes demonstrated a tendency toward a second-order kinetic model.

Facile fabrication of THz metasurfaces by a spatially shaped femtosecond laser printing system

Terahertz (THz) metasurfaces provide unprecedented abilities to realize versatile THz wavefronts manipulations. Nevertheless, these high degree of freedom, non-periodic, densely arranged subwavelength unit cells pose numerous extreme parameter requirements for the fabrication of metasurfaces, presenting significant challenges to their practical application. Herein, a spatial shaping femtosecond laser printing system, based on spatial light modulation (SLM), is proposed for the creation of THz metasurfaces. Through programming the SLM with a sequence of computer-generated holograms (CGH) corresponding to C-shaped Bessel beams with varying opening angles and orientation angles, the C-shaped slit resonant rings with different geometric parameters—fundamental units of the metasurface—were precisely printed onto a gold film. To validate this technique, a THz metalens based on a phased gradient design and a THz holographic plate employing simultaneous phase and amplitude modulation were meticulously fabricated, displaying outstanding performance. Owing to the simple processing flow, high reproducibility, and wide applicability of materials, this technique stands out as a versatile and efficient approach for fabricating THz metasurfaces, with the potential to promote the commercialization of terahertz metasurfaces.

Efficient reduction-oxidation coupling degradation of nitroaromatic compounds in continuous flow processes

Nitroaromatic compounds (NACs) with electron-withdrawing nitro (-NO2) groups are typical refractory pollutants. Despite advanced oxidation processes (AOPs) being appealing degradation technologies, inefficient ring-opening oxidation of NACs and practical large-scale applications remain challenges. Here we tackle these challenges by designing a reduction-oxidation coupling (ROC) degradation process in LaFe0.95Cu0.05O3@carbon fiber cloth (LFCO@CFC)/PMS/Vis continuous flow system. Cu doping enhances the photoelectron transfer, thus triggering the -NO2 photoreduction and breaking the barriers in the ring opening. Also, it modulates surface electronic configuration to generate radicals and non-radicals for subsequent oxidation of reduction products. Based on this, the ROC process can effectively remove and mineralize NACs under the environmental background. More importantly, the LFCO catalyst outperformed most of the recently reported catalysts with lower cost (13.72 CNY/ton) and higher processing capacity (3600 t/month). Furthermore, the high scalability, material durability, and catalytic activity of LFCO@CFC under various realistic environmental conditions prove the potential ability for large-scale applications.

Sensitivity analysis and optimization of heat transfer in the time-reliant magnetohydrodynamic bioconvective flow of radiative couple-stress hybrid nanofluid through a squeezing channel with viscous dissipation: Entropy analysis

This research presents a statistical investigation of heat transmission in the time-reliant flow of blood-based hybrid nanofluid-containing microorganisms via a squeezing permeable channel utilizing a couple-stress non-Newtonian fluid model. Nanoparticles of SWCNT (single-wall carbon nanotubes) and MWCNT (multi-wall carbon nanotubes) are incorporated in the base liquid due to their low toxicity, special physio-chemical characteristics, and suitable surface modifications. In addition, chemical reactions, heat sources and sinks, radiation, viscous dissipation, and an external magnetic field impact the flow. The current numerical study stands out because it optimizes heat transmission rate using a face-centered central composite design framework with RSM (Response Surface Methodology) and analyses its sensitivity toward effective parameters. Examining the system's efficiency by evaluating the entropy produced in the flow process is another noteworthy part of this research. The complex system of interrelated non-linear partial differential equations is converted into a set of ordinary differential equations using suitable transformations. Later, solved via a semi-analytical technique, HAM (homotopy analysis method). According to the outcomes of the comparison, the hybrid nanofluid (blood/SWCNT-MWCNT) outperforms the nanofluid (blood/SWCNT) in terms of thermal performance. The rates of thermal energy transmission are very sensitive to the Eckert number and somewhat least affected by thermal radiation. Nanofluids and hybrid nanofluids have their heat transmission rates improved by including nanoparticles, heightened radiation, and magnetic effects. The system produces more entropy when the magnetic parameter and Eckert number are higher; however, it can be minimized by controlling the radiation effect. The results have important consequences for engineering industries, especially in the development and improvement of biomedical equipment and drug delivery systems, where accurate management heat transfer is crucial.

Analyzing the Diversion Effect of Debris Flow in Cross Channels Utilizing Two-Phase Flow Theory and the Principle of Energy Conservation

The movement process of debris flow in the complex roads system is important for risk evaluation and emergency rescue. This paper presents an in-depth study of the diversion effect of debris flow in cross channels, a common branching structure in both natural and engineered environments, especially in the field of urban debris flow prevention. A mathematical model is established based on the conservation of mass, momentum, and energy, and a solid–liquid two-phase motion equation for debris flow is derived from two-phase flow theory. A numerical solution method, combining the finite difference method and finite volume method, is employed to discretize and solve the equation. The model’s validity and effectiveness are confirmed through a numerical simulation of a typical engineering case and comparison with existing experimental data or theoretical results. This study reveals that debris flow at cross channels exhibits a diversion phenomenon, with some debris flow continuing downstream along the main channel and some diverting into the branch channel. The diversion rate, defined as the ratio of outlet flow to inlet flow of the branch channel, indicates the magnitude of this effect. This research shows that the solid–liquid ratio, inflow, width ratio, height ratio, and angle of the cross channel significantly impact the diversion effect. A series of numerical simulations are conducted by altering these parameters as well as the physical properties of debris flow and boundary conditions. These simulations analyze changes in flow rate, velocity, pressure, and other parameters of debris flow at cross channels, providing insights into the factors and mechanisms influencing the diversion effect. This research offers a robust instrument for comprehending and forecasting the dynamics of urban debris flows. It contributes significantly to mitigating the effects of debris flows on city infrastructure and enhancing the safety of city dwellers.

Bridging the information gap using targeted digital transformation: process mapping large-scale concrete activity

ABSTRACT An information gap exists in the construction industry, where stakeholders possess information that is not effectively shared or sufficiently detailed. The information gap increases uncertainty in decision-making processes, leading to design conservatism, project delays and errors. Reducing over-design and waste in concrete practice is critical to achieving greater sustainability. Bridging the information gap, therefore, supports sustainable change and can be reinforced by digital transformation that aids information availability. Nevertheless, the complexity and current ambiguity in the information requirements of stakeholders in the supply chain pose a substantive challenge to effective implementation. To this end, this study develops a process flow model for the concrete sector constructed using a mixed method approach of a questionnaire, interviews, and an industry workshop. The information requirements and actions of all stakeholders in the system are collectively mapped for the first time. By developing process understanding, the model demonstrates that the current document-centric approach adopted by the sector contributes to the information gap. Furthermore, the developed process understanding aids in targeted digital transformation to tackle the information gap in practice.

Implementation of service marketing strategies to improve donor experience and loyalty on the Infak.id platform

Purpose: This research aims to explore the factors that cause the number of users who donate again on the Infak.id platform to be quite low, experience stagnant growth, and help map business improvisations to overcome these business issues. Method: By using a quantitative approach and Canva persona tools, customer journey, and service marketing design, Results: The results show that infak.id donors have less interesting experiences when entering the final phase in the process of interacting with the infak.id platform. Therefore, it is necessary to develop business process flows and new features to increase user interest in the infak.id platform and ultimately improve the infak.id's financial performance, especially those from old donors who donate again.

School Nurses' Perceived Role and Capacity to Support School Behavioral Health Programs in DC Public and Public Charter Schools.

School nurses (SNs) practicing in DC public and public charter schools were surveyed to assess their perceived role and self-reported preparation to provide behavioral health prevention, early identification, and treatment services in schools. A total of 154 SNs completed a questionnaire about their role in the delivery of behavioral health services and supports. SNs reported they are primarily involved in the identification and referral of students to other school behavioral health professionals. Respondents also reported a lack of training in behavioral health and a desire for more information on related programs and services. This study offers recommendations for educating future SNs and highlights how the DC School Health Services Program utilized study findings to build capacity for SNs employed in practice. This study can help tailor educational opportunities for SNs to maximize their role in school behavioral healthcare process flows and ultimately improve outcomes for students and families.

Creating a sense of intangible science: Making it understandable to a broad public via geoheritage

The methods and result of scientific studies are often difficult to understand for non-specialists due to their esoteric nature. Such lack of understanding means that such work is removed from our normal life experience, and thus, the applicability, interest and use of such work can be minimal. The communication of geoscience finds a natural conduit through geoheritage. A good example of an inaccessible technique far removed from everyday experience is anisotropy of magnetic susceptibility (AMS), an extremely useful geoscience technique with many applications, including finding strain and flow directions in rocks. We explored here how to make “AMS” understandable, using three different volcanic sites where the flow of molten rock is an important aspect, each situated in different types of geoheritage visitation context (wild trekkers, beach visitors, and walkers). The method we developed and tested follows the production of simple and adapted explanations, and is coupled with geoheritage inventorying and communication. We utilized the tangible geological features of outcrops, as well as intangible elements such as rock magnetic data, and conducted a geoheritage inventory using the modified geosite assessment model (M-GAM) to create narratives for popular comprehension. The M-GAM analysis has identified the geosites of the San Bartolo lava flow of the Stromboli volcano for the communication of AMS. Later, a simple and comprehensible definition of AMS and thus of the flow processes was created using a step-by-step process. This method could be useful for scientific studies to allow them to reach out to a wider public, using their input in the simple explanation stage to con-construct a narrative. This would provide a way for science to be more widely appreciated, useful and applicable.

Pemodelan Komponen Sistem Enterprise Resource Planning pada Industri Produksi Minyak

The digitalization of technology in the current era of globalization has brought many changes to the industry. The emergence of Enterprise Resource Planning (ERP) functions to integrate all departments and industrial business functions, especially in the oil production sector. ERP systems simplify business processes by integrating key functions from various departments. The business processes in the oil production industry are currently not yet running, which has given rise to problems with errors in purchasing goods from suppliers, inaccurate calculations of raw material usage, raw material stocks not being updated quickly, and purchasing reports not being generated automatically. Based on the background of these problems, the industry requires a component modeling that helps the ERP implementation process. Component modeling allows users in industry to understand ERP systems better without being overwhelmed by product or technical details. This research aims to define the ERP system components that are taken into consideration in its implementation. The research stages are divided into five, namely pre-implementation, analysis, design, construction and implementation. The results of the research are component model designs in terms of software, process flow, user mindset, and change management that will be used in implementing the ERP system

GaAs-on-insulator based vertical heterojunction tunnel FET: proposal and analysis for VLSI circuit applications

This work analyses the Gallium Arsenide (GaAs)-on-insulator based vertical heterojunction tunnel FET with Gallium Antimonide (GaSb) as source material and GaAs as channel/drain material (GaSb/GaAs VTFET) to enhance the performance of the device and is compared with the Silicon-based VTFET. Silvaco Atlas TCAD tool is employed to perform numerical calculations. Tentative fabrication process flow of GaSb/GaAs VTFET is presented. GaSb is a low bandgap material that enhances the tunneling of charge carriers at source-channel heterojunction. GaSb/GaAs VTFET device outperforms Si-based VTFET in terms of electrical performance metrics such as ON-state current (ION), and ION/IOFF increases by a factor of 11 and 270 respectively; whereas OFF-state current (IOFF), subthreshold swing (SS), threshold voltage (VT) and drain-induced barrier lowering (DIBL) reduce by 95.98%, 39.36%, 17.14% and 29.17% respectively. Further, analog/RF and linearity/distortion performance analysis is carried out. GaSb/GaAs VTFET has improved analog/RF performances in terms of cut-off frequency (fT), gain-bandwidth product (GBP), transit time (τ), device efficiency (DE), transconductance frequency product (TFP) and suppressed distortions in compare to Si-based VTFET. Finally, GaSb/GaAs VTFET is evaluated for process variations and designing digital inverter and common source amplifier circuits. The Look-up-table (LUT) based Verilog-A model within the CADENCE tool has been employed to scrutinize the transient responses of inverter and common source amplifier circuits. Unity gain frequency and 3-dB bandwidth obtained for GaSb/GaAs VTFET amplifier are 15 GHz and 5.97 GHz. Therefore, this work presents GaSb/GaAs VTFET’s strong candidature for analog and digital VLSI circuit designing.