Enhanced Dental Implant Treatments Using Innovative Additive Manufacturing And Cutting-Edge 3D Printing Technologies
Abstract Revolutionizing dental implant treatments through advanced additive manufacturing techniques, optimizing precision and efficacy with innovative 3D printing methodologies. Addressing inefficiencies in traditional dental implant processes with advanced 3D printing methods, optimizing treatment outcomes and patient care. The objective of the study is to develop an innovative additive manufacturing approach for creating patient-specific dental implants that combine advanced 3D printing techniques with optimized implant structures to enhance the effectiveness, longevity, and accessibility of dental implant treatments. Enhancing dental implant procedures through the utilization of innovative additive manufacturing technologies to improve treatment precision, efficiency, The acquired data is then used to design and optimize an implant using computer-aided design (CAD) software and biomimetic design principles. Finite element analysis (FEA) software is used to optimize the implant design for stress distribution, personalized geometry, and porosity characteristics to enhance Osseointegration from the collected data. Image pre-processing was performed using the proposed Multiple Global Alignments with Convolutional Sparse Coding (MGA-CSG) framework to improve image alignment and feature extraction for patient-specific implant design. The optimized implants were fabricated using Electron Beam Melting (EBM) owing to its high dimensional accuracy and suitability for titanium powder processing. Python-based finite element analysis and optimization demonstrated that implants with larger surface areas exhibited lower stress concentrations and improved biomechanical stability. Thereby improving stability and longevity. The future scope includes further advancements in additive manufacturing technologies, resulting in more precise and efficient dental implant treatments.
Authors
- Suresh Kumar Jyothula
- Suresh Gosula
- Maneswar Rahang (ORCID: https://orcid.org/0000-0002-1032-9024)
Institutions
- Jawaharlal Nehru Technological University, Hyderabad (IN)
- National Institute of Technology Meghalaya (IN)
Publication Details
- Journal
- Journal of Engineering and Science in Medical Diagnostics and Therapy
- Published
- 2026-10-08
- DOI
- https://doi.org/10.1115/1.4072750
- Primary Topic
- Dental Implant Techniques and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00