SLA 3D printing was the first rapid prototyping method developed and perhaps the most popular due to its superior resolution and accuracy. There are several types of 3D printing technologies: fused deposition modeling (FDM)-based on extrusion, selective laser sintering (SLS)-based on powder bed fusion, stereolithography (SLA), and digital light processing technology (DLP)-based on photopolymerization of the resin and others. The basic mechanism for most types of 3D printing is the same (layer-by-layer production of 3D objects from digital designs), but the difference lies in input materials and operating principles. Three-dimensional printing (3DP) is an additive manufacturing process that allows the fabrication of three-dimensional solid objects of virtually any shape from a 3D model file.

According to difference f 1 and similarity factor f 2 (f 1 = 14.30 and f 2 = 52.15) neural network 1 with supervised multilayer perceptron, backpropagation algorithm, and linear activation function gave a similar dissolution profile to obtained experimental results, indicating that adequate ANN is able to set out an input–output relationship in DLP printing of pharmaceutics. predicted value was 0.9811 (neural network 1) and 0.9960 (neural network 2). After comparison of experimental and predicted values of in vitro dissolution at the corresponding time points for optimized formulation, the R 2 experimental vs. For understanding the effects of excipients and printing parameters on drug dissolution rate in DLP printlets two different neural networks were developed with using two commercially available softwares. It was observed that with higher water content longer exposure time was required for successful printing. Printlets were printed using digital light processing (DLP) technology from formulations containing polyethylene glycol diacrylate, polyethylene glycol, and water in concentrations according to D-optimal mixture design and 0.1% w/ w riboflavin and 5% w/ w ibuprofen.

The aim of this work was to investigate effects of the formulation factors on tablet printability as well as to optimize and predict extended drug release from cross-linked polymeric ibuprofen printlets using an artificial neural network (ANN).

3d vision controller 340.50