Results 151 to 160 of about 12,593,396 (297)
Optimization of drying conditions for microwave-vacuum drying of tomato snack bars using response surface methodology. [PDF]
Gul MR, Yazicioglu N, Sumnu G, Oztop MH.
europepmc +1 more source
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 +4 more
wiley +1 more source
Sensitivity analysis of microbial characteristics of trihybrid carreau nanofluid using response surface methodology and ANOVA. [PDF]
Saleem S +6 more
europepmc +1 more source
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati +11 more
wiley +1 more source
Optimization of cordycepin fermentation by Cordyceps militaris via response surface methodology. [PDF]
Liu J +10 more
europepmc +1 more source
Functionally graded metal–ceramic femoral stems are engineered through continuous UMAT‐based stiffness tailoring, eliminating discrete material interfaces while enhancing biomechanical compatibility. Low‐index power‐law gradation optimizes load transfer, reduces stress shielding, and controls implant–bone micromotion, highlighting a materials‐design ...
Rihem Nouira, Sameh Elleuch, Hanen Jrad
wiley +1 more source
Optimization of Xiaoer Lingyin granule formulation using single-factor and response surface methodology. [PDF]
Liu Y +4 more
europepmc +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Using Response Surface Methodology for Economic and Environmental Trade-offs at the Farm Level
James C. Ascough II +2 more
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