Ciencias Exactas y Ciencias de la Salud
Permanent URI for this collectionhttps://hdl.handle.net/11285/551014
Pertenecen a esta colección Tesis y Trabajos de grado de los Doctorados correspondientes a las Escuelas de Ingeniería y Ciencias así como a Medicina y Ciencias de la Salud.
Browse
Search Results
- Methodological approach to incorporate Deep Generative and Natural Language Processing models in the engineering design process(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-06) de la Tejera de la Peña, Javier Alberto; Ramírez Mendoza, Ricardo Ambrocio; emimmayorquin; Hernández Luna, Alberto Abelardo; Aguayo Téllez, Humberto; Anthony, Brian; School of Engineering and Sciences; Campus Monterrey; Bustamante Bello, Martín RogelioThe engineering design process allows to create or enhance designs to fulfill any particular need methodologically. With the advances in artificial intelligence, mainly in Deep Learning, a new perspective is coming to systems engineering design, aided by intelligent algorithms. However, a downfall of engineering design is the lack of quantitative outcomes, making troublesome the use of artificial intelligence. For this, one of the solutions is using axiomatic design (AD) in the design process of systems. The work presented in this thesis, introduces a methodology that involves classic engineering methodologies and the proposal of incorporating current state-of-the-art algorithms and models for the conceptual design, as the main contribution of the research work. This research work and methodology proposal is meant to reduce the time of the design process and understand the needs/requirements implicated in the same design process, with the possibility of developing more robust designs closer to the original needs/requirements.
- Set based parametric design with dimensionless trade-off curves(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018) Fernández Caballero, Juan Carlos; Ramírez Mendoza, Ricardo Ambrocio; emipsanchez; Sobek II, Durward K.; Moreno Granadas, Diana P.; Capetillo, Azael; Escuela de Ingeniería y Ciencias; Campus Monterrey; Hernández Luna, Alberto AbelardoOver the past decade, Set-Based design has been getting the attention from researchers looking for strategies to shorten product development cycles while improving performance and saving resources. Most of the publications related to the topic have focused more on practical applications, opening the opportunity to explore theoretical development. While many authors have proposed several methods and tools to enable Set-Based Design, the techniques are often applied individually. Therefore, the need to develop a roadmap integrating many of these methods and tools has been identified. This research work proposes paper integrates the GFIS (Given-Find-In Order To-Subjected To) Method for Problem Statement, Nondimensionalization with Causal Mapping, Dimensionless Trade-off Curves and Labeled Fuzzy Sets. These techniques will contribute to facilitate the generation of multiple solutions in a systematic manner by identifying key parameters, variables, requirements and significant interactions, mapping the design space and finding feasible and preferred designs.