Metal additive manufacturing has emerged as a promising technology with vast potential in the oil and gas industry. The Nigerian National Petroleum Company (NNPC) Limited recognizes the significance of this technology and has initiated efforts to adopt metal additive manufacturing within its operations. This paper aims to provide an overview

Nitinol shape memory alloys are used in a wide range of biomedical applications because of their biocompatibility, shape memory and superelasticity properties, and high corrosion resistance. Processing NiTi using additive manufacturing has led to even wider possibilities for use in the biomedical field. The focus of the study was on

The oil and gas industry in Africa is under mounting pressure to elevate operational efficiency and curb costs, even as supply chain challenges stemming from the pandemic persist. Additive manufacturing (AM) emerges as a unique solution with the potential to free segments of the industry from conventional supply chains. This

Laser directed energy deposition technology using 309L welding wire feedstock was investigated in this research work. The aim of the study was to determine the effect of laser power and scanning speed on the microstructure and hardness of the 309L austenitic stainless steel. The travel speed and the laser power

The powder bed fusion (PBF) process is increasingly employed by industry to fabricate complex parts with stringent standard criteria. However, fabricating parts “free of defects” using this process is still a major challenge. As reported in the literature, thermally induced abnormalities form the majority of generated defects, and are mainly

Knowledge of friction properties of a material is essential in order to understand its tribological applications. The friction is an important aspect that affects functionality of maraging steel components manufactured by laser powder bed fusion (LPBF). Although friction and wear reduces stability and reliability of vulnerable parts, the friction is

Improper selection of laser powder bed fusion (LPBF) process parameters tends to result in poor quality parts which imposes limitations with respect to the mechanical performance due to process induced defects. To address this LPBF processing challenge, this study employs a hybrid optimisation technique which combines artificial neural network (ANN)

The manufacture of defect-free parts has been a key discussion topic with the widespread adoption of additive manufacturing by industry. While significant research has been performed on the detection of powder bed defects, the focus has been on the classification of the defects according to defect type. However, when looking