Study on the densification drilling mechanism and evaluation system of polyurethane foam as a simulated material for alveolar bone

To improve the quality of cavity preparation in alveolar bone is crucial for enhancing higher primary implant stability. Therefore, compared to conventional drilling, a densification drilling method for alveolar hole preparation was proposed to form dense layer within machined hole. To elucidate the mechanism of material densification formation, a series of basic experiments were performed with polyurethane foam composites. Then, the processed holes were scanned using X-ray microscopy, and the slices were processed via image algorithm. In addition, the two- and three-dimensional quantitative models were established to explore the mapping relationship between machining parameters and the degree of densification. Experimental results demonstrate that this method maximizes the retention of raw materials, thereby enhancing the initial stability of the implant. The phenomenon is attributable to unique machining mechanism of densification drilling, where material removal is primarily governed by continuous extrusion and friction rather than shear action. And, based on the quantitative model of densification, the optimal parameter combination of 1500 rpm, 24 mm/min can be obtained. The results of the study on the formation mechanism and evaluation system of densification drilling can provide theoretical support for clinical procedures.

Authors

Institutions

Publication Details

Journal
Journal of Materials Research and Technology
Published
2025-12-20
DOI
https://doi.org/10.1016/j.jmrt.2025.12.202
Citations
1
Primary Topic
Dental Implant Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
1.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on the densification drilling mechanism and evaluation system of polyurethane foam as a simulated material for alveolar bone

Xiang Tao, Qinglong An, Qi Wang, Jie Yang et al.
1 citations
Journal of Materials Research and Technology
Dental Implant Techniques and Outcomes
1.79
article

Study on the densification drilling mechanism and evaluation system of polyurethane foam as a simulated material for alveolar bone

Xiang Tao, Qinglong An, Qi Wang, Jie Yang, Ming Chen, Han Li
article en
1 citations

Abstract

To improve the quality of cavity preparation in alveolar bone is crucial for enhancing higher primary implant stability. Therefore, compared to conventional drilling, a densification drilling method for alveolar hole preparation was proposed to form dense layer within machined hole. To elucidate the mechanism of material densification formation, a series of basic experiments were performed with polyurethane foam composites. Then, the processed holes were scanned using X-ray microscopy, and the slices were processed via image algorithm. In addition, the two- and three-dimensional quantitative models were established to explore the mapping relationship between machining parameters and the degree of densification. Experimental results demonstrate that this method maximizes the retention of raw materials, thereby enhancing the initial stability of the implant. The phenomenon is attributable to unique machining mechanism of densification drilling, where material removal is primarily governed by continuous extrusion and friction rather than shear action. And, based on the quantitative model of densification, the optimal parameter combination of 1500 rpm, 24 mm/min can be obtained. The results of the study on the formation mechanism and evaluation system of densification drilling can provide theoretical support for clinical procedures.

Journal of Materials Research and TechnologyVol. 40
Shanghai Jiao Tong University (CN), National Clinical Research Center for Digestive Diseases (CN), Shanghai Stomatological Hospital (CN), Shanghai Ninth People's Hospital (CN), Changzhou Institute of Technology (CN)
Openalex Percentile: Top 11%
Dental Implant Techniques and Outcomes
1.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.