Article
Thermodynamics
Pingping Liu, Huijie Zhang, Guang Wen, Fangjun Zuo, Meiwei Jia
Summary: The study proposes a method to predict and control paper deformation by analyzing the transient temperature field of continuous moving paper, simulating the movement process of paper and deformation characteristics during hot-press fusing.
JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS
(2021)
Article
Thermodynamics
Xu Liu, Nan Gui, Xingtuan Yang, Jiyuan Tu, Shengyao Jiang
Summary: The new DEFEM method effectively solves the contact force, heat conduction, and movement of particles. Compared to traditional methods, DEFEM has significant advantages in terms of speed and efficiency.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
Vincent Gonneau, Denis Rochais, Franck Enguehard
Summary: This work focuses on the modelling of transient thermal conduction by the movement of Brownian walkers in a heterogeneous medium. It investigates the impact of the time step and resolves academic problems related to the behavior of walkers. The results demonstrate the ability to simulate experimental techniques and propose a stochastic transmission criterion for interfaces between constituents. This work is an important step towards modelling transient conduction-radiation coupling.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2022)
Article
Engineering, Chemical
Xu Liu, Nan Gui, Xingtuan Yang, Jiyuan Tu, Shengyao Jiang
Summary: DEFEM is a method that combines discrete-element and finite-element models for heat conduction, accurately simulating transient heat conduction in pebble beds. Comparative analysis between discrete-model and continuum-model shows their thermal responses and temperature distributions under the same conditions.
Article
Thermodynamics
H. Haddad, W. Leclerc, G. Alhajj Hassan, A. Ammar, C. Pelegris, M. Guessasma, E. Bellenger
Summary: This study discusses the numerical approach using the Discrete Element Method to study heat transfer in composite materials, employing a hybrid lattice model based on the equivalence between a particulate domain and a continuous medium. The model is validated and compared with numerical and experimental results to showcase its relevance in evaluating temperature and heat flux density fields.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Engineering, Environmental
Shuai Wang, Yansong Shen
Summary: This study develops a computational model to investigate the physical-thermal characteristics of pyrolysis in end-of-life solar panels. The simulation results show that the bubbling fluidized bed reactor achieves higher removal degree of the binder compared to the fixed bed reactor. Higher wall temperature significantly improves the removal degree, while superficial gas velocity has a smaller impact. The findings provide insights for the design and optimization of pyrolyzers for efficient solar panel recycling.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Thermodynamics
Artem Lunev, Vadim Zborovskii, Teymur Aliev
Summary: This study examines how different materials respond to laser pulses by generating thermal gradients through thermal conduction and radiation. Consideration needs to be given to the transparency of samples, the impact of coatings on experimental results, and the temperature response at high temperatures.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2021)
Article
Engineering, Chemical
Qing Wang, Bowen Liu
Summary: This study investigates the radial mixing and heat transfer of spherical granular materials in batch rotating drums through numerical simulations. The results show that the quality of mixing does not always accurately reflect the heat transfer effect, and in binary granular beds, the main heat transfer mechanism is related to the ratio of thermal conductivity between particles and the fluid.
Article
Thermodynamics
Istvan Bozsoki, Balazs Illes, Attila Geczy
Summary: This paper investigates transient condensation and heat transfer on a printed circuit board (PCB) and a surface mounted (SMD) capacitor during a vapour phase reflow soldering (VPS) process, proposing a new method based on finite difference modelling to accurately describe the heat transfer dynamics of the process.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2022)
Article
Materials Science, Multidisciplinary
Qiang Wang, Lijun Ai, Gang Wang, Xibin Deng
Summary: Studied the temperature distribution of powder particles and the variation of energy during the powder preparation process, providing valuable information for the mixing procedure.
MATERIALS TODAY COMMUNICATIONS
(2023)
Article
Engineering, Chemical
John P. de Bono, Glenn R. McDowell
Summary: This paper aims to increase the use of the discrete element method (DEM) for investigating clays by highlighting important considerations in implementing particle interactions. The behavior of clays is less understood compared to sands, making attention to repeatable interactions and the influence of platelet geometry crucial when using spheres as the elementary unit in DEM.
Article
Computer Science, Interdisciplinary Applications
Luan-Luan Xue, Lin-Wei Wang, Jia Ni, Ze-Jun Han, Sheng-Hong Chen, Bei-Bing Dai
Summary: A composite element formulation is proposed for addressing heat transfer in fractured rock mass, considering heat transfer within fracture fluid and rock matrix, as well as heat exchange between fracture fluid and adjacent rock blocks. The algorithm allows for simulation of discontinuous temperature characteristics across fractures with a simplified computational mesh, demonstrating validity and advantages through comparisons with analytical solutions, lab experiments, and numerical results.
COMPUTERS AND GEOTECHNICS
(2021)
Article
Thermodynamics
Zhijian Zuo, Tian Liu, Weihong Li, Hong Xiao, Taiping Lin, Shuguang Gong, Jianping Zhang
Summary: This study simulated the particle mixing and heat transfer process in a ribbon reactor using the three-dimensional discrete element method. The results showed that particles in the ribbon reactor experience high-speed tangential and low-speed recirculation movements, and a cold core is generated in the initial stage of heat transfer. Improving the mixing performance of granular matter can enhance the heat transfer performance, while increasing the ribbon number can slightly improve the mixing performance.
Article
Engineering, Chemical
I. M. Griffiths, P. S. Stewart
Summary: This paper presents a hybrid model that combines continuous and discrete approaches to describe the blocking behaviour of a filter due to particle deposition. The model captures both the spatial location and the stochastic time component of blocking events, providing a more comprehensive representation of filtration behaviour.
JOURNAL OF MEMBRANE SCIENCE
(2022)
Article
Engineering, Chemical
Tao Ou, Wei Chen
Summary: Transfer chutes are critical equipment in mining operations. This study aims to develop a digital wear sensor to monitor and predict the wear of transfer chute liners, providing valuable information for improving safety and efficiency in the mineral process circuit.
Article
Computer Science, Interdisciplinary Applications
Nohan Joemon, Melpakkam Pradeep, Lokesh K. Rajulapati, Raghunathan Rengaswamy
Summary: This paper introduces a smoothing-based approach for discovering partial differential equations from noisy measurements. The method is data-driven and improves performance by incorporating first principles knowledge. The effectiveness of the algorithm is demonstrated in a real system using a new benchmark metric.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhibin Lu, Yimeng Li, Chang He, Jingzheng Ren, Haoshui Yu, Bingjian Zhang, Qinglin Chen
Summary: This study proposes a new inverse design method using a physics-informed neural network to identify optimal heat sink designs. A hybrid PINN accurately approximates the governing equations of heat transfer processes, and a surrogate model is constructed for integration with optimization algorithms. The proposed method accelerates the search for Pareto-optimal designs and reduces search time. Comparing different scenarios facilitates real-time observation of multiphysics field changes, improving understanding of optimal designs.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Luca Gasparini, Antonio Benedetti, Giulia Marchese, Connor Gallagher, Pierantonio Facco, Massimiliano Barolo
Summary: In this paper, a method for batch process monitoring with limited historical data is investigated. The methodology utilizes machine learning algorithms to generate virtual data and combines it with real data to build a process monitoring model. Automatic procedures are developed to optimize parameters, and indicators and metrics are proposed to assist virtual data generation activities.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Julia Jimenez-Romero, Adisa Azapagic, Robin Smith
Summary: Energy transition is a significant and complex challenge for the industry, and developing cost-effective solutions for synthesizing utility systems is crucial. The research combines mathematical formulation with realistic configurations and conditions to represent utility systems and provides a basis for synthesizing energy-efficient utility systems for the future.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Samuel Adeyemo, Debangsu Bhattacharyya
Summary: This work develops algorithms for estimating sparse interpretable data-driven models. The algorithms select the optimal basis functions and estimate the model parameters using Bayesian inferencing. The algorithms estimate the noise characteristics and model parameters simultaneously. The algorithms also exploit prior analysis and special properties for efficient pruning, and use a modified Akaike information criterion for model selection.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Abbasali Jafari-Nodoushan, Mohammad Hossein Dehghani Sadrabadi, Maryam Nili, Ahmad Makui, Rouzbeh Ghousi
Summary: This study presents a three-objective model to design a forward supply chain network considering interrelated operational and disruptive risks. Several strategies are implemented to cope with these risks, and a joint pricing strategy is used to enhance the profitability of the supply chain. The results show that managing risks and uncertainties simultaneously can improve sustainability goals and reduce associated costs.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
T. A. Espaas, V. S. Vassiliadis
Summary: This paper extends the concept of higher-order search directions in interior point methods to convex nonlinear programming. It provides the mathematical framework for computing higher-order derivatives and highlights simplified computation for special cases. The paper also introduces a dimensional lifting procedure for transforming general nonlinear problems into more efficient forms and describes the algorithmic development required to employ these higher-order search directions.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
David A. Linan, Gabriel Contreras-Zarazua, Eduardo Sanhez-Ramirez, Juan Gabriel Segovia-Hernandez, Luis A. Ricardez-Sandoval
Summary: This study proposes a parallel hybrid algorithm for optimal design of process flowsheets, which combines stochastic method with deterministic algorithm to achieve faster and improved convergence.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Xiaoyong Lin, Zihui Li, Yongming Han, Zhiwei Chen, Zhiqiang Geng
Summary: A novel GAT-LSTM model is proposed for the production prediction and energy structure optimization of propylene production processes. It outperforms other models and can provide the optimal raw material scheme for actual production processes.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Prodromos Daoutidis, Jay H. Lee, Srinivas Rangarajan, Leo Chiang, Bhushan Gopaluni, Artur M. Schweidtmann, Iiro Harjunkoski, Mehmet Mercangoz, Ali Mesbah, Fani Boukouvala, Fernando Lima, Antonio del Rio Chanona, Christos Georgakis
Summary: This paper provides a concise perspective on the potential of machine learning in the PSE domain, based on discussions and talks during the FIPSE 5 conference. It highlights the need for domain-specific techniques in molecular/material design, data analytics, optimization, and control.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hesam Hassanpour, Prashant Mhaskar, Brandon Corbett
Summary: This work addresses the problem of designing an offset-free implementable reinforcement learning (RL) controller for nonlinear processes. A pre-training strategy is proposed to provide a secure platform for online implementations of the RL controller. The efficacy of the proposed approach is demonstrated through simulations on a chemical reactor example.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hunggi Lee, Donghyeon Lee, Jaewook Lee, Dongil Shin
Summary: This study introduces an innovative framework that utilizes a limited number of sensors to detect chemical leaks early, mitigating the risk of major industrial disasters, and providing faster and higher-resolution results.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Sibel Uygun Batgi, Ibrahim Dincer
Summary: This study examines the environmental impacts of three alternative hydrogen-generating processes and determines the best environmentally friendly option for hydrogen production by comparing different impact categories. The results show that the solar-based HyS cycle options perform the best in terms of global warming potential, abiotic depletion, acidification potential, ozone layer depletion, and human toxicity potential.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
LaGrande Gunnell, Bethany Nicholson, John D. Hedengren
Summary: A review of current trends in scientific computing shows a shift towards open-source and higher-level programming languages like Python, with increasing career opportunities in the next decade. Open-source modeling tools contribute to innovation in equation-based and data-driven applications, and the integration of data-driven and principles-based tools is emerging. New compute hardware, productivity software, and training resources have the potential to significantly accelerate progress, but long-term support mechanisms are still necessary.
COMPUTERS & CHEMICAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Daniel Cristiu, Federico d'Amore, Fabrizio Bezzo
Summary: This study presents a multi-objective mixed integer linear programming framework to optimize the supply chain for mixed plastic waste in Northern Italy. Results offer quantitative insights into economic and environmental performance, balancing trade-offs between maximizing gross profit and minimizing greenhouse gas emissions.
COMPUTERS & CHEMICAL ENGINEERING
(2024)