Metal 3D printing is one of the fastest growing additive manufacturing (AM) technologies in
recent years. Despite much improvements in its technical capabilities, reliable metal printing …

The purpose of this study is to study the influence of the laser power and the scanning speed
on the surface hardness, and top surface and side surface roughness of Ti6Al4V metal …

This paper aims to develop a prediction algorithm for better product quality of the diecasting
process, one of the most essential aspects of quality management in traditional …

The work represents the approaches for designing the quality system for gas turbines
engines parts additive manufacturing. For gas turbines engines applications, the quality …

Metal 3D printing is one of the fastest growing additive manufacturing (AM) technologies in
recent years. Despite the improvements and capabilities, reliable metal printing is still not …

In the selective laser melting (SLM) process, adjusting process parameters contributes to
achieving the desired molten pool morphology, thereby enhancing the mechanical …

In this paper, we propose a novel prediction algorithm based on an improved Elman neural
network (NN) ensemble for quality prediction, thus achieving the quality control of designed …

This paper demonstrates the potential for qualification through local part property prediction
of 304L stainless steel parts manufactured by Selective Laser Melting (SLM). This is …

В статье приводятся результаты анализа влияния параметров технологического
процесса селективного лазерного сплавления (угол наклона относительно платформы …

The article describes the results of analysis of the SLM parameters (angle to the building
platform and layer thickness) influence on the product quality parameters (roughness). The …