12 research outputs found
Finite Element Study of a Threaded Fastening: The Case of Surgical Screws in Bone
This paper studies the stress state of a threaded fastening by using Finite Element (FE) models, applied to surgical screws in cortical bone. There is a general interest in studying the stress states induced in the different elements of a joint caused by the thread contact. Analytical models were an initial approach, and later FE models allowed detailed studies of the complex phenomena related to these joints. Different studies have evaluated standard threaded joints in machinery and structures, being the thread symmetric. However, surgical screws employ asymmetric thread geometry, selected to improve the stress level generated in the bone. Despite the interest and widespread use, there is scarce documentation on the actual effect of this thread type. In this work, we discuss the results provided by FE models with detailed descriptions of the contacts comparing differences caused by the materials of the joint, the thread geometry and the thread’s three-dimensional helical effects. The complex contacts at the threaded surfaces cause intense demand on computational resources that often limits the studies including these joints. We analyze the results provided by one commercial software package to simplify the threaded joints. The comparison with detailed FE models allows a definition of the level of uncertainty and possible limitations of this type of simplifications, and helps in making suitable choices for complex applications
A new predictive model based on the PSO-optimized support vector machine approach for predicting the milling tool wear from milling runs experimental data
Evolutionary Algorithm for Pathways Detection in GWAS Studies
International Conference on Hybrid Artificial Intelligence Systems, HAIS 2019 (14th. 2019. Leon
Comparison of the periimplant bone stress distribution on three fixed partial supported prosthesis designs under different loading. A 3D finite element analysis
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 (2017. León, Spain
An artificial neural network model for the prediction of bruxism by means of occlusal variables
International Joint Conference SOCO'17- CISIS'17-ICEUTE'17 Proceedings (2017. Leon, España
Air quality modeling in the Oviedo urban area (NW Spain) by using multivariate adaptive regression splines
Classification of prostate cancer patients and healthy individuals by means of a hybrid algorithm combing SVM and evolutionary algorithms
International Conference, HAIS 2018 (13th. 2018. Oviedo
A methodology for the detection of relevant single nucleotide polymorphism in prostate cancer by means of multivariate adaptive regression splines and backpropagation artificial neural networks
SOCO 2017, ICEUTE 2017, CISIS 2017 (León. 2017