Analysis of Radial Heat Transfer in Cooled Fixed‐Bed Reactors by One‐ and Two‐Dimensional Models
Exothermic fixed‐bed reactors are analyzed using 1D and 2D models. Radial temperature profiles from the 2D model enable optimization of the 1D approach via adjusted overall heat transfer coefficient. Derived correlations improve prediction accuracy, whereas thermal runaway behavior and model sensitivity are evaluated. ABSTRACT Exothermic reactions in a
Cora Bischoff, Andreas Jess
wiley +1 more source
Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp +2 more
wiley +1 more source
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley +1 more source
A novel bubbling fluid bed reactor for the autothermal pyrolysis of waste plastics
Abstract A new pilot‐scale fluidized bed reactor operated under continuous conditions was developed and tested for the thermal pyrolysis of high‐density polyethylene (HDPE). The study focused on assessing the reliability and operability of the system under different operating conditions (400–550°C), while monitoring mass and energy balances, product ...
Khadija Olivia Ogoula Igouwe +4 more
wiley +1 more source
Effects of Ethanol-Gasoline Blending on Combustion, Performance, and Emissions of a Spark Ignition Engine: An Experimental and Detailed Chemistry-Based Numerical Study. [PDF]
Khedr AM +6 more
europepmc +1 more source
Abstract Hybrid models (HMs) combine fundamental model (FM) equations with empirical components. These models can lead to improved predictions because they reduce process/model mismatch and can account for phenomena that are not considered in the FM equations.
Mouna Y. Harb, Kimberley B. McAuley
wiley +1 more source
Investigation of spark ignition engine performance in ethanol-petrol blended fuels using artificial neural network. [PDF]
Walle M, Yeneneh K, Sufe G.
europepmc +1 more source
AI‐Enhanced Laser Manufacturing: A Social Life Cycle Perspective From the White Goods Industry
ABSTRACT Sustainable manufacturing transitions require companies to demonstrate not only environmental and economic benefits, but also measurable advances in corporate social responsibility (CSR). Therefore, we propose using a guideline‐based Social Life Cycle Assessment (S‐LCA) aligned with UNEP (2020) and ISO 14075 (2024) to evaluate the social ...
Ricardo Mejía‐Marchena +4 more
wiley +1 more source
Thermodynamics based modeling of various in-cylinder processes and spark ignition engine cycle with a focus on sub-models assessment. [PDF]
Chandrakar CK, Varma PS, Mittal M.
europepmc +1 more source
Aluminum‐enhanced afterburning renders AE explosives more hazardous than conventional ones. Corrugated steel linings reduce far‐field AE blast overpressure by ~50% through wave reflection and dissipation. The developed model accurately predicts peak pressure (<10% error) and arrival time (<3% error), supporting protective design.
Zhen Wang +5 more
wiley +1 more source

