Machine learning and response surface optimization to enhance diesel engine performance using milk scum biodiesel with alumina nanoparticles. [PDF]
Modi V +9 more
europepmc +1 more source
A numerical model resulting from irreversible thermodynamics for describing transport processes is introduced, focusing on thermodynamic activity gradients as the actual driving force for diffusion. Implemented in CUDA C++ and using CalPhaD methods for determining the necessary activity data, the model accurately simulates interdiffusion in aluminum ...
Ulrich Holländer +3 more
wiley +1 more source
Influence of ceramic thermal barrier coating on diesel engine performance using scum oil biodiesel at different compression ratios. [PDF]
K N K +8 more
europepmc +1 more source
Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo +3 more
wiley +1 more source
Optimization of SiO<sub>2</sub> based water-diesel emulsified fuel for engine performance and emission characteristics using soft computing approaches. [PDF]
Goyal R, Pathak VK, Sonawane C.
europepmc +1 more source
It is shown that laser ablation pretreatment under oxygen‐free conditions enables copper–aluminium bonding at significantly lower deformation degrees and improved properties compared to mechanical brushing. Laser ablation further increases interface contact area and induces favourable residual stress states and microstructural compatibility ...
Khemais Barienti +11 more
wiley +1 more source
Enhancing CI engine performance and emissions through PCCI and sustainable combustion solutions with waste cooking oil biodiesel blends a comparative study. [PDF]
Elkelawy M +7 more
europepmc +1 more source
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
Predictive modeling and optimization of SI engine performance and emissions with GEM blends using ANN and RSM. [PDF]
Shaik F +7 more
europepmc +1 more source

