Mandibular fractures are common facial lesions typically treated with titanium plate and screw systems; nevertheless, this material is associated with secondary effects. Absorbable material for implants is an alternative to titanium, but there are also problems such as incomplete screw insertion and screw breakage due to high pretension in the screw caused by the insertion torque. The purpose of this paper is to find the optimal screw pretension (SP) in absorbable plate and screw systems by means of artificial neural network (ANN) and its inverse (ANNi). This optimal SP must satisfy a desired maximum von Mises strain (MVMS). For training the ANN, a database was generated by means of a design of experiments (DOE). Each DOE configuration was solved by means of finite element method (FEM) calculations. To obtain the optimal value for (SP) in the mini absorbable screw for fracture fixation, a strategy to invert the ANN is developed. Using the ANN coefficients, a sensitive study was performed to identify the influence of the design parameters in the MVMS. The optimal SP obtained was 14.9742 N. The MVMS condition was satisfied with an error less than 1.1% in comparison with FEM and ANN results. The screw shaft length is the most influencing MVMS parameter.

Additive manufacturing represents an alternative that offers great advantages in small-scale production, high level of customization and ease of building complex geometries. However, rapid prototyping parts present mechanical limitations that prevent their use in applications that require greater resistance. In the present work an experimental analysis was carried out where the processes of Resin Infusion and Hand Lay-Up were compared, performing tests with specimens constructed according to the ASTM D790-17 standard, for laminated material of carbon fiber with plastic nuclei by prototyping fast and tested with two orientations of fibers "3k", (-45? +45? and 0? 90?). The tests and the statistical analysis of the data were made based on a factorial design, generating results that offer acceptable levels of stiffness and deflection without causing delamination failures, obtaining a combination that allows the manufacture of a piece without the need for a mold. The material constructed by Hand Lay-Up offered the best performance, by not failing by delamination. Key Words: additive manufacturing, composite materials, bending tests, fused deposition modeling, ABS, delamination.

At present, the manufacturing industries require the implementation of more efficient and flexible fabrication processes to offer high-quality products. The changeover methodologies can be used to reduce the setup times, allowing the industries to be more competitive. The application of changeover methodologies is mainly influenced by the 4Ps model, which is composed of organizational and design factors, such as people, practices, product, and processes. However, this model is not useful in determining the relationship between each one of the Ps and the changeover activities. In this chapter, the authors have developed an exhaustive review of the references to establish the indicators to design an instrument composed of 79 items and divided into the five constructs of the 4P model, which was statistically validated using the Kendall W indicator and the Cronbach´s alpha indicator.