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. Miguel Alvarez, Artificial Intelligence-Driven Transformation of Fleet Management and Sustainable Transportation: Integrated Strategies, Theoretical Foundations, and Practical Implications , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Abimbola Bassey, ASSESSING THE TEMPERATURE-VISCOSITY RELATIONSHIP IN LOCALLY SOURCED VEGETABLE OILS , Global Multidisciplinary Journal: Vol. 3 No. 11 (2024): Volume 03 Issue 11
- Rahul S. Menon, Converging High-Speed Ethernet Technologies for Automotive and Data-Center Domains: Performance, Modulation, and Electromagnetic Considerations for 10 Gb/s Links , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Elena M. Duarte, The R1-MYB Transcription Factor CmREVEILLE2 Activates Chlorophyll Biosynthesis to Mediate Light-Induced Greening in Chrysanthemum Flowers , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Lukas M. Verhoeven, Integrating Artificial Intelligence and Advanced Data Processing for Real-Time Credit Scoring: Theoretical Foundations, Methodological Innovations, and Implications for Contemporary Credit Risk Management , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Amrita K. Desai, Secure, Cost-Optimal, and Integrity-Preserving Data Migration: A Unified Framework for Moving Enterprise Workloads from Proprietary to Open-Source Cloud Databases , Global Multidisciplinary Journal: Vol. 4 No. 10 (2025): Volume 04 Issue 10
- Dr. Gennarik L. Mortenkov, Synergizing Business Intelligence and Artificial Intelligence for Competitive Advantage: A Multi-Dimensional Analysis of Organizational Resilience and Decision-Making Frameworks , Global Multidisciplinary Journal: Vol. 4 No. 09 (2025): Volume 04 Issue 09
- Dr. Arjun Mehta, Artificial Intelligence–Driven Hierarchical Supply Chain Planning: Toward a Unified Framework for Visibility, Demand Forecasting, and Sustainable Optimization , Global Multidisciplinary Journal: Vol. 4 No. 05 (2025): Volume 04 Issue 05
- Dr. Elena Martínez, Integrating Agility, Digital Intelligence, and Sustainable Urban Logistics: A Comprehensive Framework for Resilient Modern Supply Chains , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
- Dr. Elias Van der Meer, Strategic Cybersecurity Governance And Risk-Based Policy Integration In Contemporary Organizations , Global Multidisciplinary Journal: Vol. 4 No. 11 (2025): Volume 04 Issue 11
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.