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Published on: February 10, 2014
In Vitro Evaluation of Stress Distribution around Implants with Different Designs
Piyush Javiya1, Bharani K Bhattu2, Rajkiran Chitumalla3
1Reader, Department of Prosthodontics, Crown and Bridge, K. M. Shah Dental College and Hospital, Sumandeep Vidyapeeth Deemed to be University, Vadodara, Gujarat, India.
Background:
Dental implant design plays a crucial role in stress distribution to the surrounding bone, which directly impacts the longevity and success of the implant. This in vitro study aimed to evaluate and compare stress distribution around implants with different designs using finite element analysis.
Materials And Methods:
Three implant designs were analyzed: tapered, cylindrical, and hybrid (tapered-cylindrical) implants. Standardized bone models were created to simulate type II bone quality. A vertical load of 200 N and an oblique load of 100 N at a 45° angle were applied to all implant designs. Stress distribution was analyzed using finite element analysis software. Von Mises stress and maximum principal stress values in the cortical and cancellous bones were recorded.
Results:
The tapered implant showed the least stress concentration in the cortical bone under vertical loading, with an average Von Mises stress of 120 MPa, compared to 150 MPa in cylindrical and 135 MPa in hybrid implants. Under oblique loading, hybrid implants exhibited balanced stress distribution in the cortical and cancellous bones (180 MPa and 70 MPa, respectively), while cylindrical implants showed the highest stress concentration in the cortical bone (200 MPa). Tapered implants demonstrated superior performance in minimizing stress in the cancellous bone (65 MPa under vertical load).
Conclusion:
Implant design significantly affects stress distribution in the surrounding bone. Tapered implants reduce stress concentration in the cancellous bone, making them suitable for regions with poor bone quality. Hybrid implants, with their balanced stress distribution, may offer advantages in areas requiring load optimization.
