THE INTERPLAY OF POLYMERS, PRECISION, AND SURFACE TOPOGRAPHY IN 3D PRINTING
Abstract
The advent of 3D printing technology has revolutionized manufacturing processes across various industries, offering unprecedented design freedom and customization capabilities. This study explores the critical interplay between polymers, precision, and surface topography in 3D printed structures. We investigate how different polymer materials, such as thermoplastics, elastomers, and composites, influence the dimensional accuracy and surface characteristics of printed objects. Through a series of experiments and analyses, we evaluate the effects of print parameters—such as layer height, print speed, and temperature—on the final quality of the printed surfaces.
We employ advanced measurement techniques, including scanning electron microscopy (SEM) and profilometry, to assess the surface roughness and topographical features of the printed specimens. Our findings reveal that the choice of polymer significantly affects both the precision of the prints and the resultant surface texture. Furthermore, we discuss how surface roughness can impact functional properties, such as adhesion, wear resistance, and aesthetic quality, emphasizing the importance of selecting appropriate materials and optimizing print settings to achieve desired outcomes.
Ultimately, this research contributes to the understanding of how polymer characteristics can be harnessed to enhance the performance and application of 3D printed structures, paving the way for innovations in fields such as biomedical engineering, aerospace, and consumer goods.
Keywords
References
How to Cite
Most read articles by the same author(s)
- Dr. Fang-Yu Chen, Dr. Xinyue Zhao, Ecological Restoration and Sustainable Transformation of Mining Areas in the Context of China's Modernization Drive , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Johnathan R. Maxwell, Strategic Integration of Circular Business Models: Pathways to Sustainable Value Creation and Environmental Performance , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Sina Farsiu, Evaluating Supervised Machine Learning Models for Retinal Disease Detection Using the OCTID Dataset: A Comprehensive Analysis and Future Outlook , Global Multidisciplinary Journal: Vol. 4 No. 06 (2025): Volume 04 Issue 06
- Dr. Asha R. Menon, Resilience and Reconfiguration: Managing Semiconductor-Induced Disruptions in Automotive and Critical Supply Chains , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Elias Thorne, Dr. Sarah Vance, Unsupervised Feature Alignment: Ethical and Explainable Contrastive Approaches in Multimodal Artificial Intelligence Systems , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Elena Márquez, Towards Resilient and Privacy-Preserving Multi-Tenant Cloud Systems: A Synthesis of Blockchain, Trusted Execution, Differential Privacy, and Adaptive Isolation Mechanisms , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Rafael M. Cortez, Heterogeneous GPU Architectures, Energy-Aware Thermal Management, and Validation Strategies for Next-Generation High-Performance Computing , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Arvind Raman, Towards Secure, Trusted, and Virtualized Multi-Tenant FPGA–Cloud Ecosystems: A Comprehensive Research Framework Integrating Hardware Roots of Trust, Cryptographic Acceleration, and Zero-Trust Cloud Security , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Mateo Alvarez-Santos, RESILIENCE ENGINEERING PARADIGMS FOR FINANCIAL SYSTEM UPTIME DURING VOLATILITY: A SOCIO-TECHNICAL SYSTEMS PERSPECTIVE , Global Multidisciplinary Journal: Vol. 4 No. 12 (2025): Volume 04 Issue 12
- Daniel R. Hofmann, Redefining Digital Trust Through AI-Driven Continuous Behavioral Biometrics in Financial and Enterprise Systems , Global Multidisciplinary Journal: Vol. 5 No. 01 (2026): Volume 05 Issue 01
Similar Articles
- Dr. Sina Farsiu, Evaluating Supervised Machine Learning Models for Retinal Disease Detection Using the OCTID Dataset: A Comprehensive Analysis and Future Outlook , Global Multidisciplinary Journal: Vol. 4 No. 06 (2025): Volume 04 Issue 06
- Timothy Joy, MODELING MASTERY: OPTIMIZING PROJECT MANAGEMENT FOR BUSINESS SYSTEM DEVELOPERS , Global Multidisciplinary Journal: Vol. 2 No. 11 (2023): Volume 02 Issue 11
- Dr. Elena Moretti, Resilient, Automated Monitoring and Fault-Tolerant Control for Critical Building Systems: Integrating GPU-Accelerated Anomaly Detection, Infrastructure-as-Code, and Self-Correcting HVAC Strategies , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
You may also start an advanced similarity search for this article.