Company Filing History:
Years Active: 2025
Title: The Innovations of Daniel Campillo Garrote
Introduction
Daniel Campillo Garrote is an accomplished inventor based in Móstoles, Spain. He has made significant contributions to the field of additive manufacturing, particularly through his innovative use of machine learning algorithms. His work focuses on enhancing the efficiency and accuracy of manufacturing processes.
Latest Patents
Daniel holds a patent for a "Predicting system in additive manufacturing process by machine learning algorithms." This patent discloses a method and a predicting system for the automatic prediction of porosity appearance generated during Laser Powder Bed Fusion (L-PBF). The method involves training a neural network by generating labels of pores in every pixel using a porosity simulator. It includes a pre-training phase, which consists of two sub-steps, and a training phase that also comprises two sub-steps. The ultimate goal is to create a trained machine learning model that can predict porosity in additive manufacturing processes.
Career Highlights
Daniel is currently employed at Bull SAS, where he applies his expertise in machine learning and additive manufacturing. His innovative approach has positioned him as a key player in the development of advanced manufacturing technologies.
Collaborations
Daniel collaborates with Enrique Garcia Albert, who is also involved in the field of additive manufacturing. Their partnership enhances the research and development efforts within their organization.
Conclusion
Daniel Campillo Garrote's contributions to the field of additive manufacturing through his innovative patent demonstrate his commitment to advancing technology. His work not only addresses current challenges in manufacturing but also paves the way for future innovations.