Article
Agriculture, Multidisciplinary
Isaiah Huber, Lizhi Wang, Jerry L. Hatfield, H. Mark Hanna, Sotirios Archontoulis
Summary: This study fills the knowledge gap by developing and testing five new workability models. The results indicate that the simple rule model, the Decision Table model, and the process-based model have high agreement in predicting field workable days and are suitable for large timespan evaluations.
AGRICULTURAL SYSTEMS
(2023)
Article
Engineering, Mechanical
Lihuang Zheng, Zhongjin Wang, Bao Meng, Min Wan
Summary: A unified uncoupled ductile fracture criteria (DFC) that can accurately predict the fracture initiation of both sheet and bulk metals is proposed in this study. The new DFC takes into account multiple void deformation modes and the effects of accelerated void growth and coalescence under high stress triaxiality. Experimental results and comparative studies demonstrate the superiority of the new DFC over other existing DFCs. Due to its high accuracy and flexibility, the new DFC is recommended for use in engineering applications and integration with finite element analysis software.
INTERNATIONAL JOURNAL OF PLASTICITY
(2023)
Article
Materials Science, Multidisciplinary
Yuan Chen, Shuhui Li, Yongfeng Li, Yaoqi Wang, Zhiqiang Li, Zhongqin Lin
Summary: The study focuses on the constitutive modeling of TA15 alloy under hot stamping conditions, revealing that the flow behaviors of the alloy are sensitive to temperature, strain rate, and cooling rate due to phase transformation. A physically based model coupling the effect of phase transformation is proposed for better prediction accuracy.
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
(2021)
Article
Computer Science, Information Systems
Puyu Jiang, Yuansheng Cheng, Jiaxiang Yi, Jun Liu
Summary: Researchers have proposed an efficient constrained global optimization algorithm that uses Gaussian process regression models to approximate expensive objective functions and constraints, as well as differential evolution to find the minimum value. They have also introduced a multiobjective infill criterion to balance the exploration between objectives and constraints, and utilized a clustering selection method to maintain the diversity of sample points.
INFORMATION SCIENCES
(2021)
Article
Computer Science, Interdisciplinary Applications
Pratyush Kumar, James B. Rawlings
Summary: This paper proposes a model identification approach that combines first principles knowledge and neural networks (NNs) estimated from data to develop structured dynamic models. The NNs are used to approximate complex unknown functions that are challenging to model using first principles knowledge. The parameters in the NNs are estimated by solving a multistep ahead prediction error minimization problem. Case studies with a chemical reactor and a styrene polymerization process demonstrate the efficacy of the modeling approach. The economic performances of the structured models are analyzed by solving a steady-state optimization problem. The studies highlight the importance of incorporating physical insight into the structured models to achieve good economic performance.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Psychology, Multidisciplinary
Shabnam Mousavi, Shyam Sunder
Summary: Exploratory ventures beyond disciplinary boundaries can provide additional insights and explanatory power. This article takes a constructive approach to examine the gains in modeling human action within physical principles. Concepts of complexity and emergence explain the absence of analytically derivable mapping between micro and macro phenomena. The notion of embodiment captures a wider range of explanatory factors in understanding human behavior. Emergence and embodiment complement each other in the exploration of human behavior.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Engineering, Chemical
Qiao Zhang, Qing Fang, Xiao Feng
Summary: Hydrogen network integration is a crucial way to achieve resource conservation and cost reduction of refinery, with the process simulation of a flash separator providing important quantitative and thermodynamic properties. The combined methodology of process simulation and mathematical modeling is optimal for integrating hydrogen networks effectively. Risk analysis within the integration process is essential to ensure the feasibility and success of hydrogen network integration for future applications.
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
(2021)
Article
Green & Sustainable Science & Technology
Seunghyun Cheon, Hyunjun Lee, Ayeon Kim, Changgwon Choe, Hankwon Lim
Summary: This study analyzes the economic and environmental feasibility of fuel cell electric vehicle (FCEV), battery electric vehicle (BEV), and internal combustion engine vehicle (ICEV) and determines that FCEV and BEV are more economically and environmentally suitable choices compared to ICEV.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Thermodynamics
Hassan Hajabdollahi, Mohammadreza Khosravian, Mohammad Shafiey Dehaj
Summary: This study models and optimizes a solar network heater using flat plate collectors, considering both cost ratio and exergy efficiency as objective functions. The results show that the device is not cost-effective in the case of high collector efficiency.
Article
Materials Science, Multidisciplinary
Tianyu Xu, Fuguo Li, Xueli Wang
Summary: This study develops a user-friendly anisotropic yield function for capturing the plastic anisotropy of sheet metals. The proposed function improves simulation efficiency and reduces experimental cost by balancing predictability and cost in parameter calibration. The results show that the function performs well in describing the anisotropic behavior and hardening behavior of different materials.
JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE
(2023)
Article
Engineering, Environmental
Robinson Junior Ndeddy Aka, Sarah Wu, Dinithi Mohotti, Muhammad Aamir Bashir, Alia Nasir
Summary: This study evaluates the application of a novel continuous liquid plasma process (CLPD) for removing ammonia-nitrogen (NH3-N) from wastewater. By optimizing the main process parameters, efficient NH3-N removal is achieved. The study also reveals the presence of active chemical species produced during the plasma discharge. The results demonstrate the potential of liquid phase plasma discharge as a highly efficient technology for removing ammonia from aqueous solutions.
Review
Multidisciplinary Sciences
Ana Somoza-Tornos, Omar J. Guerra, Allison M. Crow, Wilson A. Smith, Bri-Mathias Hodge
Summary: The electrochemical reduction of CO2 is seen as a promising alternative to traditional fossil fuel technologies for chemical synthesis, but the low technology readiness levels make it difficult to predict performance at an industrial scale. Researchers have developed various techniques to assess these technologies, focusing on technical, environmental, and economic aspects, in order to evaluate the challenges and opportunities for industrial implementation of CO2 reduction through electrolysis.
Article
Automation & Control Systems
Nishtha Hooda, Jasgurpreet Singh Chohan, Ruchika Gupta, Raman Kumar
Summary: In this study, artificial intelligence systems are integrated with mechanical systems to reduce manufacturing time and cost of products. The random forest machine learning model is used to predict and validate the optimum deposition angle in Fused Deposition Modeling, achieving a prediction accuracy of 94.57%, significantly better than other methods. This robust model efficiently predicts the optimum deposition angle for any geometry, enhancing the applicability of digitally manufactured products.
Article
Engineering, Electrical & Electronic
Andreas Troels, Herbert Enser, Stefan Clara, Wolfgang Hilber, Bernhard Jakoby
Summary: This study proposes a method for designing heater electrodes on substrates with high thermal conductivity. By covering the substrate with a polymer insulation layer and electrically conductive heater electrodes, the temperature inside a predetermined optimization area can be as uniform or non-uniform as desired. The method has potential applications in high-precision heating and droplet operations.
IEEE SENSORS JOURNAL
(2023)
Article
Thermodynamics
Jun Woo Park, Soo Ik Im, Ki Bong Lee
Summary: A novel SDA process using carbon dioxide as a stripping agent instead of steam was developed to improve the energy efficiency and cost-effectiveness of the asphaltene removal process from heavy oil feedstocks.
Article
Energy & Fuels
Rok Gomilsek, Lidija Cucek, Marko Homsak, Raymond R. Tan, Zdravko Kravanja
Article
Engineering, Chemical
Sanja Potrc, Lidija Cucek, Mariano Martin, Zdravko Kravanja
Review
Engineering, Multidisciplinary
Elvis Ahmetovic, Zdravko Kravanja, Nidret Ibric, Ignacio E. Grossmann, Luciana E. Savulescu
Summary: This paper provides an overview of the state-of-the-art water and energy optimization methods in Kraft pulp mills, emphasizing the potential of adapting Kraft processes to biorefineries. The importance of integrating water system, heat exchanger network, and utility system for an effective Kraft process transformation is highlighted. Studies have shown significant reductions in water and energy consumption through systematic optimization methods, with typical savings ranging from 20 to 80% in freshwater consumption and 15 to 40% in energy consumption.
OPTIMIZATION AND ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Tina Kegl, Lidija Cucek, Anita Kovac Kralj, Zdravko Kravanja
Summary: The study proposes a simplified model to optimize combined CO2 supply networks and capture and utilization technologies to maximize the profit of CCUS technologies, considering revenue from avoided tax on reduced CO2 emissions. Results indicate the potential of model-based optimization in reducing CO2 in the atmosphere through CCUS technology.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Multidisciplinary
Nidret Ibric, Elvis Ahmetovic, Zdravko Kravanja
Summary: This paper discusses the synthesis of combined evaporation-crystallisation systems for recovering valuable materials from waste, focusing on distiller waste from the Solvay process. The superstructure of a heat and power integrated evaporation-crystallisation system is optimized using a Mixed-Integer Nonlinear Programming (MINLP) model, with a focus on partial crystallisation of NaCl and production of concentrated CaCl2 solution.
OPTIMIZATION AND ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
Sanja Potrc, Lidija Cucek, Mariano Martin, Zdravko Kravanja
Summary: The paper presents a plan for achieving the carbon neutral target in the EU-27 by 2050, utilizing a multi-period mixed-integer programming model to maximize sustainability net present value. Wind farms and solar photovoltaics are highlighted as the most promising solutions for expanding renewable energy generation, with the potential to create over 1.5 million new job opportunities across the EU.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
(2021)
Article
Thermodynamics
Klavdija Zirngast, Zdravko Kravanja, Zorka Novak Pintaric
Summary: This paper presents an improved method for the synthesis of flexible Heat Exchanger Network with a large number of uncertain parameters using MINLP. By decomposing the problem into simpler subproblems and solving them sequentially, the exponential growth with the number of uncertain parameters is avoided. The introduction of correction factors into the objective function during variable determination improves the trade-offs and mitigates the effect of decomposition.
Article
Thermodynamics
Monika Dokl, Rok Gomilsek, Lidija Cucek, Ben Abikoye, Zdravko Kravanja
Summary: This study presents an integrated design and optimization of an Organic Rankine Cycle (ORC) for the recovery of waste heat from aluminium production. The non-linear programming models maximize the electricity production and net present value (NPV) of the system by optimizing operating conditions and thermodynamic features. The results show that selecting the appropriate working fluid can substitute electricity in a sustainable and economic manner. Among the three working fluids considered, R245fa is identified as the best performing fluid with high efficiency but higher greenhouse gas emissions.
Article
Chemistry, Multidisciplinary
Simon Silih, Zdravko Kravanja, Stojan Kravanja
Summary: This paper presents the Mixed-Integer Non-linear Programming (MINLP) approach for the synthesis of trusses, discussing the solution to continuous/discrete non-convex and non-linear optimization problems. It showcases the generation of different truss MINLP superstructures and the development of a special model formulation. The paper also introduces multi-level MINLP strategies to accelerate convergence and discusses the importance of local buckling constraints on topology optimization.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Chemical
Klavdija Zirngast, Zdravko Kravanja, Zorka Novak Pintaric
Summary: This paper examines the impact of CO2 tax on chemical process synthesis, revealing that an increase in tax promotes the use of higher-quality raw materials and more efficient process units while reducing energy consumption and emissions, but economic performance deteriorates.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Klavdija Zirngast, Zdravko Kravanja, Zorka Novak Pintaric
30TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A-C
(2020)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Andreja Nemet, Timothy Gordon Walmsley, Elvis Ahmetovic, Zdravko Kravanja
30TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A-C
(2020)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Ben Abikoye, Lidija Cucek, Danijela Urbancl, Adeniyi Jide Isafiade, Zdravko Kravanja
30TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A-C
(2020)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Milos Bogataj, Zdravko Kravanja
30TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PTS A-C
(2020)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Ben Abikoye, Lidija Cucek, Adeniyi Isafiade, Zdravko Kravanja
29TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING, PT A
(2019)
