Fused Filament Fabrication (FFF) is a popular additive manufacturing process to produce printed polymer components, whereby their strength is highly dependent on the process parameters. The raster angle and infill pattern are two key process parameters and their effects on flexural properties need further research. Therefore, the present study aimed to print test specimens with varying raster angles and infill patterns to learn their influence on the in-plane and edgewise flexural properties of acrylonitrile–butadiene–styrene (ABS) material. The results revealed that the highest in-plane and edgewise flexural moduli were obtained when printing was performed at 0° raster angle. In comparison, the lowest values were obtained when the printing was executed with a 90° raster angle. Regarding the infill pattern, the tri-hexagon pattern showed the largest in-plane modulus, and the quarter-cubic pattern exhibited the greatest edgewise flexural modulus. However, considering both the modulus and load carrying capacity, the quarter-cubic pattern showed satisfactory performance in both planes. Furthermore, scanning electron microscopy was used to investigate the failure modes, i.e., raster rupture, delamination of successive layers and void formation. The failure occurred either due to one or a combination of these modes.

Purpose: The rising amount of research being done in the realm of environmental protection has resulted in the establishment of a new research paradigm in the field of human resource administration (HRA) called green human resource management" (GHRM). The current study was conducted to highlight the work been done in the field of GHRM and provide a pictorial view to the readers to understand the effectiveness of GHRM in various organizations. Theoretical framework: This paper provides an explanation of the development of literature and makes it possible to comprehend the topics that have been investigated in previous works of literature regarding GHRM. Design/methodology/approach: The Scopus core-collection and VOS-viewer were utilized in the writing of this paper. For the purpose of the study, each and every GHRM related document that will already exist within the database between 2008 till 2022 will be analyzed. The display of the data via graphical visualization incorporates both bibliographic coupling and co-citation features into the presentation. Findings: It was discovered that 418 documents on the GHRM scholarship were evaluated in this bibliometric investigation. The purpose of this study was to examine the volume, rising tendency, worldwide distribution, major journals, pioneer authors, dominant countries, and dominant industries in the field of global human resource management. With the use of logical operators, six different word combinations were combined to create the final product, “TITLE-ABS-KEY ("green human resource management" OR "green hr" OR "green human resource" OR " green human resource practices" OR "GHRM" OR "GHRMP")”, thus, the range grows wider. In the review, it was found that the GHRM is still a new idea. This review is meant to help modern researchers by giving them an overview of the current state of things. Research, Practical & Social implications: A more thorough and objective knowledge structure evolution framework for the period 2008 to 2022 is provided by this research, which is useful to the evolution of the Human Resource Management field. Originality/value: We have added a global perspective to our understanding of the concept's evolution across time by weaving together bibliographic information and network diagrams in this paper.

This paper describes an optimization study of a spherical composite submersible pressure hull employing a genetic algorithm (GA) in ANSYS. A total of five lay-up arrangements were optimized for three unidirectional composites carbon/epoxy, glass/epoxy, and boron/epoxy. The minimization of the buoyancy factor $\left(B.F\right)$ was selected as the design optimization objective. The Tsai-Wu and Tsai-Hill failure criteria and buckling strength factor $\left(\lambda \right)$ were used as the material failure and instability constraints. To determine the effect of geometric non-linearity and imperfections on the optimized design, a non-linear buckling analysis was also carried out for one selected optimized design in ABAQUS. The non-linear buckling analysis was carried out using the modified RIKS procedure, in which the imperfection size changed from 1 to 10 mm. A maximum decrease of 65.937% in buoyancy factor $\left(B.F\right)$ over an equivalent spherical steel pressure hull was computed for carbon/epoxy. Moreover, carbon/epoxy displayed larger decreases in buoyancy factor $\left(B.F\right)$ in the case of 4 out of a total of 5 lay-up arrangements. The collapse depth decreased from 517.95 m to 412.596 m for a 5 mm lowest mode imperfection. Similarly, the collapse depth decreased from 522.39 m to 315.6018 for a 5 mm worst mode imperfection.

Titanium and its alloys are largely used in various applications due its prominent mechanical properties. However, the machining of titanium alloys is associated with assured challenges, including high-strength, low thermal conductivity, and long chips produced in conventional machining processes, which result in its poor machinability. Advanced and new machining techniques have been used to improve the machinability of these alloys. Ultrasonic vibration assisted turning (UVAT) is one of these progressive machining techniques, where vibrations are imposed on the cutting insert, and this process has shown considerable improvement in terms of the machinability of hard-to-cut alloys. Therefore, selecting the right cutting parameters for conventional and assisted machining processes is critical for obtaining the anticipated dimensional accuracy and improved surface roughness of Ti-alloys. Hence, fuzzy-based algorithms were developed for the ultrasonic vibration assisted turning (UVAT) and conventional turning (CT) of the Ti-6Al7Zr3Nb4Mo0.9Nd alloy to predict the maximum process zone temperature, cutting forces, surface roughness, shear angle, and chip compression ratio for the selected range of input parameters (speed and depth-of-cut). The fuzzy-measured values were found to be in good agreement with the experimental values, indicating that the created models can be utilized to accurately predict the studied machining output parameters in CT and UVAT processes. The studied alloy resulted in discontinued chips in both the CT and UVAT processes. The achieved results also demonstrated a significant decline in the cutting forces and improvements in the surface quality in the UVAT process. Furthermore, the chip discontinuity is enhanced by the UVAT process due to the higher process zone temperature and the micro-impact imposed by the cutting tool on the workpiece.