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In this research, experimental and numerical methods were used to study the effect of pore geometry on residual stress and mechanical behavior of 3D-printed parts. In this regard, samples with circular, rhombic and hexagonal pore geometries were printed using fused deposition modeling (FDM), and their residual stress was measured through the mechanical strain release method. The finite-element method (FEM) was utilized to study the strength and natural frequency of the samples.

As a modern method of part manufacturing and repair, 3D printing has been highly regarded in industrial arenas for its ability to offer high precision without the need for different dies. Porosity has been studied as a solution for reducing weight in structures, and its effect on the mechanical behavior of a structure depends on the loading conditions and applications.

The results of the investigation showed that the rhombic pore geometry had the highest residual stress, while the sample with circular pores exhibited the lowest residual stress. Stress distribution and modal analyses indicated that the sample with rhombic pore geometry had the lowest displacement coupled with the highest strength and natural frequency. However, considering the total of external load-induced stress and residual stresses, the sample with hexagonal pore geometry outperformed the other samples and showed the longest fatigue life.

According to the literature review, residual stress is one of the key factors influencing the performance of 3D-printed parts. However, the effects of pore geometry on residual stress and structural strength in 3D-printed components remain underexplored. Therefore, this study investigates the impact of hexagonal, rhombic and circular pore geometries on residual stress and structural strength through both experimental and numerical analyses.

This study aims to analyze the sentiments expressed in YouTube comments on videos from top dermatology channels, focusing on how social media mavens affect consumer behavior and perceptions related to cosmetic treatments.

The study utilized sentiment analysis to examine 300 comments from the top five YouTube dermatology channels using NVivo 14, a qualitative data analysis software. It categorized the comments into positive, negative, neutral and mixed sentiments to understand the impact of the content on viewers.

The analysis revealed that 54% of the comments were positive, 5.7% were negative, 18.7% were neutral and 21.6% were mixed. The study found that videos from dermatology influencers significantly impact viewers, with positive comments highlighting the informative nature of the content and negative feedback suggesting areas for improvement.

The findings provide actionable insights for marketers and practitioners in the esthetic dermatology industry, emphasizing the importance of creating high-quality, informative content that addresses viewer concerns and ethical considerations in influencer marketing.

This study uniquely contributes to the literature by focusing on sentiment analysis of YouTube comments related to cosmetic surgery, offering insights into the influence of dermatology content creators on consumer behavior.