Results 81 to 90 of about 14,610 (221)

Modelling of an imprecise sustainable production control problem with interval valued demand via improved centre-radius technique and sparrow search algorithm

Scientific Reports
The modelling and optimization of a manufacturing systems in the context of sustainable production under uncertainty remain a pivotal focus in control theory.
Hachen Ali, Md Sadikur Rahman, Ali Akbar Shaikh, Adel Fahad Alrasheedi, Jeonghwan Gwak   +4 more
doaj   +1 more source

Research on Mathematical Model and Algorithm of Batch Dissolverfor Spent Fuel Reprocessing

Yuanzineng kexue jishu
Spent fuel reprocessing is a key step toward sustainable nuclear energy, and the Purex process which is a liquid to liquid extraction technique, has become the mainstream technology for the efficient and scalable recovery of uranium, plutonium, and other
YU Ting1, CHEN Lingfeng2, LUO Yingting2, LU Zonghui1, FENG Hexin1, GONG Helin3, HE Hui1, YE Guoan1,
doaj   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Exhaustive grid search for multivariable model predictive control parameter optimization in dimethyl ether synthesis

South African Journal of Chemical Engineering
The performance of Multivariable Model Predictive Control (MMPC) in strongly coupled distillation systems is highly sensitive to the structural selection of sampling time (T), prediction horizon (P), and control horizon (M).
Abdul Wahid, Ian Ajrin Rohman, Zaharuddin Mohamed   +2 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

DEM-ML investigation of bauxite pillar strength prediction method

Meitan xuebao
The ultimate loading capacity of the pillar is closely related to the bauxite pillar size parameters, and scientific prediction of pillar strength is the key to safe and efficient mining by the airfield method.
Defu ZHU, Deyu WANG, Biaobiao YU
doaj   +1 more source

Inverse Identification of Energy‐Dependent Laser Absorptivity in NiTi Laser Powder‐Bed Fusion via Calibrated Melt Pool Simulation

Advanced Engineering Materials, EarlyView.
A combined experimental–computational framework identifies energy‐dependent laser absorptivity for NiTi in laser powder‐bed fusion, applicable to conduction and transition modes. Single‐track experiments and thermofluid smoothed particle hydrodynamics simulations are coupled through inverse analysis of melt pool geometry.
Mohamadreza Afrasiabi, Hadi Moutablaleh, Ignatius A. Setiawan, Mehrshad Mehrpouya   +3 more
wiley   +1 more source

Maiden application of mountaineering team-based optimization algorithm optimized 1PD-PI controller for load frequency control in islanded microgrid with renewable energy sources

Scientific Reports
Load Frequency Control (LFC) is essential for maintaining the stability of Islanded Microgrids (IMGs) that rely extensively on Renewable Energy Sources (RES).
Iraj Faraji Davoudkhani, Peyman Zare, Seyed Jalal Seyed Shenava, Almoataz Y. Abdelaziz, Mohit Bajaj, Milkias Berhanu Tuka   +5 more
doaj   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Orthogonal Optimum Design of Parameters of Large-size Jacket Launching

Shiyou jixie, 2018
In order to optimize the launching parameters more quickly and accurately, and to improve the design efficiency and quality of jacket launching schemes, a parametric finite element simulation model for jacket launching was established.
Wang Tianying, Bai Jian
doaj