Results 61 to 70 of about 13,758 (335)
Application of machine learning for filtered density function closure in MILD combustion
A machine learning algorithm, the deep neural network (DNN) 1 , is trained using a comprehensive direct numerical simulation (DNS) dataset to predict joint filtered density functions (FDFs) of mixture fraction and reaction progress variable in Moderate ...
Zhi X. Chen +6 more
semanticscholar +1 more source
A Review of Failure Modes and Safety Strategies of Lithium‐Ion Batteries from Materials to Systems
A cascade‐aware framework is presented for lithium‐ion battery safety, linking thermal runaway initiation, acceleration, runaway reaction, and propagation with material‐, cell/pack‐, and system‐level interventions. By integrating failure mechanisms, quantitative safety indicators, and staged interception strategies, this review highlights how safer ...
Jin Hyeok Yang +8 more
wiley +1 more source
Design and Development of a Lab-Scale Burner for MILD/Flameless Combustion
This paper discusses the design and development of a burner for MILD/Flameless Combustion processes. Computational Fluid Dynamics was used to simulate preliminary designs for the burner and to obtain a characterization of the combustor for non-reactive ...
G. Sorrentino +4 more
doaj +1 more source
Cu‐MXene interfacial catalysts provide a promising platform for electrochemical NOx upcycling to ammonia. The synergy between Cu active sites and conductive, surface‐tunable MXene supports promotes NOx adsorption, intermediate stabilization, and selective NH3 formation while suppressing competing hydrogen evolution, offering a route toward sustainable ...
Hafiz Muhammad Adeel Sharif +5 more
wiley +1 more source
Fundamentals and Simulation of MILD Combustion
There is a continual demand to develop combustion systems that lead to reductions in pollutant emissions and increases in energy efficiency, thereby reducing fuel consumption. It is well known that thermal efficiency may be increased by preheating of the reactants (Ozdemir & Peters, 2001).
Hamdi Mohamed +2 more
openaire +2 more sources
Tpy–Zn complexes serve as versatile building blocks for the modular assembly of functional materials, including polymers, gels, MOFs, cages, and composites through programmed noncovalent interactions, empowering practical applications in visual molecular recognition, smart functional materials, and photocatalytic transformations. ABSTRACT As one of the
Lixin Duan +4 more
wiley +1 more source
The simulation of biogas combustion in a MILD burner [PDF]
This paper discusses the design and development of moderate and intense low oxygen dilution (MILD) combustion burners, including details of the computational fluid dynamics process, step-by-step from designing the model until post-processing.
Noor, M. M. +2 more
core
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim +5 more
wiley +1 more source
Dynamics of regime transition of autoignitive jet flames from conventional to MILD combustion
Turbulent combustion of jet flames in a hot diluted coflow of combustion products has been studied across a range of jet Reynolds numbers for propane, ethylene, and an ethylene-propane blend as fuels.
Aravind Ramachandran +3 more
doaj +1 more source
In this study, we have used an unsupervised clustering algorithm called Vector Quantization Principal Component Analysis (VQPCA) to identify variable(s) for characterizing different Moderate and Intense Low-oxygen Dilution (MILD) combustion systems.
H. Dave, N. Swaminathan, A. Parente
semanticscholar +1 more source

