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Today, total knee arthroplasty (TKA) implants represent one of the most highly demanded prosthetic devices in the biomechanical and orthopedic surgical industries. Computational simulation models and algorithms for abrasive linear wear in total knee arthroplasty (TKA) are developed and presented for ultra-high-molecular-weight polyethylene (UHMWPE) components. This material is widely used for TKA implants. The implemented mathematical framework is based on the classical Archard’s wear model, modified to account for linear abrasive wear specific to TKA applications. The algorithms corresponding to both integer and integral formulations are described. For computational intelligence simulations, experimental data selected from the literature, including both in vitro and in vivo studies, are incorporated within the programming environment. Three-dimensional image-processing and computational simulation software are developed using graphical and interior optimization techniques. Linear wear results from million-cycle (Mc) simulations, presented as numerical datasets and three-dimensional image-processing graphs, are demonstrated and compared with data reported in the literature. Relevant biotribology, biomaterials, and biomedical applications related to total knee arthroplasty (TKA), including clinical and manufacturing aspects, are briefly discussed.