A data-driven ensemble machine learning approach for predicting the mechanical strength of 3D printed orthopaedic bone screws
Raj Agarwal,
Jaskaran Singh,
Vishal Gupta
Abstract:The mechanical strength of three-dimensional (3D) printed orthopaedic bone screws plays a major role in load-bearing bone fractures and deformities. Orthopaedic screws need to have enough mechanical strength to support and rehabilitate fracture sites under loads. Several process parameters are used in 3D printing technology for part fabrication; monitoring the mechanical strength of fabricated parts is a difficult and tedious task. The prediction of mechanical strength by a data-driven machine learning (ML) ap… Show more
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