...M. Shafiqur Rahman; Naw Safrin Sattar; Radif Uddin Ahmed; Jonathan Ciaccio; Uttam K. Chakravarty This study presents a cost-effective and high-precision machine learning (ML) method for predicting the melt-pool geometry and optimizing the process parameters in the laser powder-bed fusion (LPBF...

... 2.3084 ± 0.460 In this study, an attempt was made to derive optimal control settings factors for minimization of surface roughness. The single objective optimization requires quantitative determination of the relationship between surface roughness with combination of control factors...

... and the stress deviation of the final product. The optimization method adopts the response surface methodology in order to seek the optimum condition of process parameters such as the blank holding force and the draw-bead force. The present optimization scheme is applied to the design of the variable blank...

... vessels strain measurement nondestructive testing minimisation elastic constants Composite Materials Identification Elastic Constants Structural Engineering Optimization Laminated composite materials have found many applications in industry in recent years, especially the fabrication...