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process model for flow-electrode capacitive deionization for energy consumption estimation and system optimization

WATER RESEARCH 2023年第1期230卷 119517页

作者： Shi, Chufeng Wang, Hongyang Li, Ao Zhu, Guangcan Zhao, Xiaoli Wu, Fengchang Southeast Univ Sch Energy & Environm Nanjing 210096 Peoples R China Chinese Res Inst Environm Sci State Key Lab Environm Criteria & Risk Assessment Beijing 100012 Peoples R China Wuhan Univ Sch Resource & Environm Sci Wuhan 430072 Peoples R China

Flow-electrode capacitive deionization (FCDI) is a new technology for ion removal that delivers sustainable deionization performance. However, FCDI consumes relatively high amounts of energy compared with other conventional desalination technologies, which hinders the industrial application of FCDI. In this study, the en-ergy consumption of each FCDI component was simulated using a steady-state FCDI model to investigate and optimize the main components of energy consumption. Overall, the established process model can be used for theoretical investigation and enhancing our fundamental understanding of the energy consumption of each FCDI component, and provides the design and optimization of FCDI systems. The results showed that the energy consumption of the flow electrodes dominated under most conditions. Changing the operating parameters could obviously affect energy consumption and the energy consumption structure. However, increasing the flow rate and activated carbon (AC) content of the flow-electrode could decrease the energy consumption of the electrode, and the energy consumed by the ion-exchange membranes (IEMs) and desalination chamber was the greatest. These two parts of energy consumption could not be significantly reduced by changing operational parameters. Thus, to further reduce the energy consumption, optimization of the FCDI equipment was carried out by adding titanium mesh to the flow electrodes and the desalination chamber of the FCDI cell. The results showed that the energy consumption of optimized FCDI decreased by 51.9% compared with the original FCDI. The long-term experiment using optimized FCDI showed good stability and repeatability.

关键词： Flow -electrode capacitive deionization process model Energy consumption Energy consumption structure Titanium mesh Long-term stability

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process model for manufacturing 400 series stainless steel with purified CO2 as an auxiliary oxidant and realizing carbon cycle

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SEPARATION AND PURIFICATION TECHNOLOGY 2023年第1期315卷

作者： Zhou, Yun Wei, Guangsheng Zhu, Rong Dong, Kai Univ Sci & Technol Beijing Sch Met & Ecol Engn Beijing 100083 Peoples R China Univ Sci & Technol Beijing Beijing Key Lab Res Ctr Special Melting & Preparat Beijing 100083 Peoples R China

To reduce the CO2 emission in the iron and steel industry, aid carbon neutralization, and promote the application of CO2 in stainless steel production, CO and CO2 in flue gas were separated and purified to recycle for the production. Further, a process model of smelting stainless steel with O2-CO2 mixed injection was established based on the theory of thermodynamics and kinetics. The model validation was conducted in a 70 ton-stainless steel smelting furnace. The model calculation showed that CO2 injection for smelting stainless steel can improve the reaction efficiency of various elements in molten steel and cause a temperature drop. However, the excessive CO partial pressure in the molten pool caused by injecting CO2 aggravated the oxidation loss of chromium and led to a sharp rise in the temperature of molten steel near the end of smelting. According to the guidance of the model, a carbon cycle process concept was designed to realize the internal circulation application of CO2 in stainless steel production, which improves stainless steel smelting efficiency and self-consumption of CO2 pro-duced by smelting.

关键词： process model CO 2 injection Stainless steel Industrial application Carbon cycle

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A process model for design-oriented machine learning research in information systems

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JOURNAL OF STRATEGIC INFORMATION SYSTEMS 2025年第1期34卷

作者： Zolbanin, Hamed Aubert, Benoit Univ Dayton Sch Business Adm Dayton OH 45469 USA HEC Montreal Dept Informat Technol Montreal PQ Canada

This paper proposes a process model for design-oriented machine learning (DS-ML) research in the area of information systems (IS). As DS-ML studies become more prevalent in addressing complex business and societal challenges, there is a need for a standardized framework to conduct, communicate, and evaluate such research. We integrate elements from the design science research (DSR) process model, action design research (ADR), and the Cross Industry Standard process for Data Mining (CRISP-DM) to develop a comprehensive Machine Learning process model (MLPM) tailored for academic DS-ML studies. The MLPM outlines eight key phases, including: problem identification;objective formulation;data understanding;data preparation;design, development, and refinement;evaluation;reflection and learning;and communication. We discuss the unique aspects of each phase in the context of DS-ML research and highlight the iterative nature of the process. By providing this structured approach, we aim to enhance the rigor, transparency, and comparability of DS-ML studies in IS research. This model serves as a step towards establishing consistent standards for DS-ML research, facilitating its integration into mainstream IS literature, and unlocking new opportunities for innovation and impact in the field.

关键词： Desing-oriented machine learning Design Science Research Action Design Research process model Information Systems

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Leveraging Dual Timestamps to Enhance process model Construction Using Time-Infused Inductive Miner

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IEEE ACCESS 2025年 13卷 88535-88556页

作者： Effendi, Yutika Amelia Kim, Minsoo Airlangga Univ Fac Adv Technol & Multidiscipline Dept Robot & Artificial Intelligence Engn Surabaya 60115 Indonesia Pukyong Natl Univ Coll Engn Dept Ind & Data Engn Busan 48547 South Korea

In business process management, the increasing complexity of modern business processes underscores the need for accurately understanding parallel activities to efficiently allocate and utilize limited corporate resources. However, many existing event log analysis algorithms focus solely on the sequence of executed activities, limiting their ability to model processes involving simultaneous activities effectively. This research seeks to enhance the inductive miner, which is known for its flexibility, formal guarantees, and scalability, by enabling it to better capture and represent the complexities of real-world business processes. The core modification involves leveraging dual timestamps, which utilize both the start and end times of activities. This approach enhances the algorithm's ability to understand parallel structures within process models. Through experimentation, limitations of single timestamp were identified, including reduced accuracy in modeling parallel activities. The proposed approach also demonstrates the capability to effectively minimize dummy activities when discovering process models containing both sequential and parallel activities. Experimental results highlight the improved performance of the proposed algorithm, with metrics showing a fitness score of 0.815, precision of 0.827, generalization of 0.846, and simplicity of 0.834. Moreover, the algorithm achieves the highest conformance results with fewer traces required compared to the alpha miner, fuzzy miner, heuristic miner, and the original inductive miner.

关键词： process mining Business Concurrent computing Analytical models Scalability Parallel processing PROM Complexity theory Robustness Noise measurement Conformance dual timestamps inductive miner parallel processes performance analysis process discovery process mining process model

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Entrepreneurial universities and intrapreneurship: A process model on the emergence of an intrapreneurial university

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TECHNOVATION 2024年 129卷

作者： Flores, Maria Cecilia Grimaldi, Rosa Poli, Silvia Villani, Elisa Univ Bologna Dept Management Via Capo Lucca 34 I-40126 Bologna Italy

With this paper we aim to provide a better understanding of the mechanisms that facilitate the emergence of an intrapreneurial university by considering a longitudinal, single case study. Our process model shows the specific mechanisms (i.e., enabling and supporting) that drive the transformation of scattered individual-level abilities (i. e., competencies, mindset and networks, playing as antecedents) into organizational intrapreneurial abilities, endowed within the university. Our study contributes to a growing stream of studies on intrapreneurial universities, exploring how universities internally anticipate, address and manage change, how they organize and orchestrate resources and competencies, thus showing intrapreneurial abilities. In terms of managerial implications we suggest university managers to take in consideration that entrepreneurial approaches should to be better promoted internally, by cultivating a culture of change, creativity and innovation, as well as fostering team-working activities.

关键词： Entrepreneurial universities Academic intrapreneurship Intrapreneurial abilities Academic entrepreneurship Single case study process model

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Performance Measurement in a Custom Production process model Using the process Mining Approach: A Systematic Literature Review

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IEEE ACCESS 2024年 12卷 173552-173556页

作者： Wikusna, Wawa Mustafid, Ferry Jie, Ferry Diponegoro Univ Sch Postgrad Studies Doctoral Program Informat Syst Kota Semarang 50275 Indonesia Telkom Univ Sch Appl Sci Bandung 40257 Indonesia Edith Cowan Univ Sch Business & Law Joondalup WA 6027 Australia

This study aims to explore and develop a method for measuring supply chain performance influenced by customer demand in custom product production. The research method used is a systematic literature review, focusing on measuring key indicators and evaluating supply chain performance. This study highlights the importance of Key Performance Indicators (KPIs) as an evaluation tool, which helps make decisions more effective and efficient in the supply chain. By using the Supply Chain Operation Reference (SCOR) model supported by the Analytic Hierarchy process (AHP) and the normalization of the Snorm De Boer Score, this study shows a systematic measurement process from planning to evaluation. The results of the study indicate that supply chain performance measurement can provide guidance for companies to improve operational performance and support supply chain sustainability. The traffic light system is applied to identify performance indicators that require special attention, so that focused improvement recommendations can be provided. This study makes an important contribution to the development of supply chain performance management in the context of custom production.

关键词： Supply chains Production Costs Minimization Key performance indicator Databases Companies Transportation Sustainable development Volume measurement Custom production product customization process model performance process mining

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Designing sustainable product-service systems: A generic process model for the early stages

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SUSTAINABLE PRODUCTION AND CONSUMPTION 2023年 36卷 397-414页

作者： Sarancic, David Pigosso, Daniela C. A. Pezzotta, Giuditta Pirola, Fabiana McAloone, Tim C. Tech Univ Denmark DTU Dept Mech Engn Nils Koppels Alle 404 DK-2800 Lyngby Denmark Univ Bergamo Dept Management Informat & Prod Engn Viale Marconi 5 I-24044 Dalmine BG Italy

The design of Product-Service Systems (PSS) in manufacturing companies has been widely researched over the past three decades, with contributions from various backgrounds. However, the multidisciplinary field led to the development of disparate approaches for PSS design, which furthermore deficiently include sustainability considerations. Such discord hinders PSS uptake in industry due to the unclarity of which process to use and crucial matters to consider. This paper aims to propose a generic process model to describe the early stage of the PSS design, which is the most influential phase for the success of the PSS offering throughout its life cycle, concerning the three dimensions of sustainability. The proposed generic process model addresses early-stage PSS design in three phases and considers seven clusters of entities through five activities. To achieve this aim, existing approaches for PSS design were identified through a systematic literature review, yielding a comprehensive overview of existing approaches distilled with respect to their content, the actions they propose and the sustainability principles they discuss. The systematic review was then followed by in-depth content analysis using widely adopted methodologies in design research and manufacturing companies for process decomposition and consequently synthesis, resulting in the proposed systematic generic process model for the early-stage design of sustainable PSS. The proposed process model was further examined concerning its use implications, limitations, and potential implementation steps. (c) 2023 The Author(s). Published by Elsevier Ltd on behalf of Institution of Chemical Engineers. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： Product -service systems Sustainability Early -stage design process model Manufacturing companies Systematic literature review

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Construction method of process model for correcting local profile errors of turbine blades

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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2023年第5-6期124卷 1751-1762页

作者： Si, Chuan-Rui Zhu, Zheng-Qing Chen, Zhi-Tong Zhang, Yun Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China Beihang Univ Ningbo Inst Technol Ningbo 315832 Peoples R China North China Univ Technol Sch Mech & Mat Engn Beijing 100144 Peoples R China

Turbine blades, mainly formed by investment casting, are one of the core components of an aero-engine. However, the profile accuracy of turbine blades shaped by investment casting sometimes cannot directly meet the design requirements, and there will be some local areas exceeding the given form tolerance. In order to reduce the blade rejection rate and develop an advanced CNC correcting method, a new process model construction method for CNC correction of turbine blades is proposed. In this method, a new multi-constraint optimization model for the design sectional curve position of turbine blades is developed, which not only enables the process model constructed from the optimized sectional curves to best fit the actual blade geometry but also minimizes the local error areas to be corrected on the actual geometry. Two typical turbine blades have been successfully performed to demonstrate the effectiveness of the proposed method. The results show that the proposed method can significantly reduce the local error areas compared to the existing method while not exceeding the given multiple constraints. Therefore, the constructed process model can be used to generate CNC tool paths to correct the minimum local error areas and thus convert the scrap turbine blades into qualified ones.

关键词： Turbine blades Local profile error process model Error correction Constrained optimization

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MASS-BALANCE process model OF A DECOUPLED AQUAPONICS SYSTEM

JOURNAL OF THE ASABE

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JOURNAL OF THE ASABE 2023年第4期66卷 955-967页

作者： Kalvakaalva, Rohit Smith, Mollie Ayipio, Emmanuel Blanchard, Caroline Prior, Stephen A. Runion, G. Brett Wells, Daniel Blersch, David Adhikari, Sushil Prasad, Rishi Hanson, Terrill R. Wall, Nathan Higgins, Brendan T. USDA Agr Res Serv Washington DE USA Auburn Univ Biosyst Engn Dept Auburn AL USA Auburn Univ Dept Hort Auburn AL USA Auburn Univ Dept Crop Soil & Environm Sci Auburn AL USA Auburn Univ Sch Fisheries & Aquat Sci Auburn AL USA

Aquaponics presents a viable solution to water pollution from aquaculture by utilizing nitrate- and phosphate-rich effluent for crop production. The objective of this study was to develop a mass-balanced process model based on a pilot-scale aquaponics facility growing Nile tilapia (Oreochromis niloticus) and cucumbers (Cucumis sativus) in Auburn, Alabama. This enabled a better understanding of how key elements partition among different downstream processes, ultimately affecting nutrients available to plants or discharged to the environment. Data were collected from a pilot scale decoupled aquaponics system for a full calendar year and included weekly water quality, direct GHG emissions, and water flows. Bio-solids, fish mass, and plant mass were also quantified and underwent elemental analysis. Together, these measurements were used to create stoichiometric equations for mass partitioning. The resulting stoichiometry was used to develop a mass-balanced process model constructed in SuperPro Designer software. Four separate variations of the model were developed, one for each season. The model showed that 21.6% of input nitrogen was assimilated by tilapia and only 2.81% by plants, while 33% of input phosphorus was assimilated by tilapia and 2.6% by plants. modeled effluent concentrations of nitrate from the fish tank, clarifier, and plants averaged 440, 441, and 307 mg L-1, respectively, compared to average measured values of 442, 406, and 298 mg L-1. modeled effluent phosphate concentrations from the fish tank, clarifier, and plants were 25, 27, and 20 mg L-1 of phosphate, respectively, over the course of one year, while average measured values were 30, 31, and 26 mg L-1. The model was not suitable for predicting short term system changes. The constructed model shows promise in predicting long-term changes in system outputs based on upstream operational changes and is effective for simulation and scenario analysis.

关键词： Aquaponics Mass balance Nitrogen Phosphorus process model

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Numerical investigation of a process model integrating gasification and tar removal

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BIOMASS CONVERSION AND BIOREFINERY 2023年第14期13卷 12689-12703页

作者： Li, Jishuo Yao, Xiwen Xu, Kaili Ge, Ji Yang, Dexin Fan, Bingjie Northeastern Univ Sch Resources & Civil Engn Shenyang 110819 Peoples R China

The corrosion and damage of equipment caused by tar condensation seriously hinder the further development of biomass gasification technology. Therefore, a process model integrating gasification and tar removal was established using Aspen Plus based on chemical reaction kinetics and oil-based gas washer (OLGA) tar removal technology. In this paper, phenol was selected as the light tar representative, and pyrene was selected as the heavy tar representative. The effect of gasification conditions on syngas production and tar content was determined, and the rectifying towers in the tar removal process were optimized and analysed. Sensitivity analysis of the gasification process showed that the steam in the gasifier was beneficial to increase the H-2 composition but reduced the higher heating value (HHV) of the combustible syngas. The introduction of air reduced the content of combustible syngas and the HHV in the gasifier. More importantly, the tar content in syngas could be reduced by increasing the gasification temperature, steam-to-feedstock ratio (SFR) and equivalence ratio (ER). On the other hand, the optimization results of the tar removal process showed that the proposed tar removal process model was effective for the removal of light tar and heavy tar. The process model can realize the recycling of solvents, and the loss rates of solvent 1 and solvent 2 were 4.27% and 0.68%, respectively. In addition, light tar can be recovered in the process of tar removal;its recovery rate was 96.42%, and the water outflow rate with tar was only 8.77%.

关键词： process model Gasification Tar removal Syngas production Rectifying tower

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