Abstract
The manufacture of total hip arthroplasty (THA) requires the control of the quality of free form surfaces. In fact, the polyethylene insert is deformed to fit the overall geometry of the femoral part, which has an impact on the quality of the contact. In this paper, we propose a method for evaluating the defects of complex forms. The originality of the approach is the use of artificial intelligence to position the cloud of measured points, obtained with a three-dimensional measuring machine equipped with a contactless sensor, with regard to the 3D CAD model of the THA. The artificial intelligence algorithm used is based on neural networks that are trained using a virtual positioning realized with 3D CAD software. Finally, the difference between the positioned point cloud and the CAD model allows us to evaluate the shape defect of the measured THA surface. We found that the error of the proposed method is at the vicinity of micron scale.
Highlights
Total hip arthroplasty (THA) provides momentous enhancement in mobility and quality of life for patients suffering from osteoarthritis of the hip
We find that the percentage of positioning of the points cloud on the model is more than 95% (Figure 7)
This paper presents a method for calculating shape defects of a free form surface
Summary
Total hip arthroplasty (THA) provides momentous enhancement in mobility and quality of life for patients suffering from osteoarthritis of the hip. Lan et al.[1] reported that an increase in THA by 71% toward 635,000 procedures per year, by 2030 is projected. As the occurrence of osteoarthritis and the procedure volumes of THA continue to raise, mastery of their manufacturing quality control is required. The control of the form defects of the THA surface is crucial to ensure the proper functioning of the complete system. The acceptable defect must guarantee the femoral head/cup contact of hip stability and the amplitude of the geometrical defect between these two components must not induce a risk of wear.
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