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Compendium of Publications on Computational Geometry Applications in Industry 4.0

Authors :
Ruiz Salguero, Oscar Eduardo
Moreno Guerrero, Aitor
Pareja Corcho, Juan Camilo
Posada Velásquez, Jorge León
Ruiz Salguero, Oscar Eduardo
Moreno Guerrero, Aitor
Pareja Corcho, Juan Camilo
Posada Velásquez, Jorge León
Publication Year :
2022

Abstract

Computational modeling of porous and lattice materials is a topic that attracts the attention of ongoing research efforts. Industries such as product design, additive manufacturing, biomedicine, automotive and aerospace are environments in which porous and lattice materials are of special interest given their properties. Computer Aided Design (CAD) three-dimensional (3D) Models are nowadays ubiquitous in many engineering contexts: in the automotive industry, for instance, more than 30.000 different parts are needed for complete vehicle, and most of them have a 3D CAD representation. In this sense, the ability to inspect the topology and the geometry of a standard 3D CAD representation model (such as STEP) is of high importance. More particularly, feature recognition is a task where this model inspection is relevant for engineers and designers, since they can easily find features of interest that are related with specific tasks: optimization, planning of additional manufacturing processes, detection of design errors, etc. Gerotor pumps play an important role in the aerospace industry, specially in the processes of cooling, lubrication and fuel boost and transfer. The design process of gerotor pumps usually involves: i) a geometric modeling stage in a CAD environment, ii) a design verification stage using fluid mechanics simulations to validate the efficiency and other desired characteristics of the pump, and iii) a physical testing stage to verify the predicted characteristics of the pump in a real test bank once the design has been validated through a simulation tool. Digital Twins would allow a faster workflow for the design and testing of gerotor pumps. This work presents a compilation of different contributions to the problems stated in this introduction.

Details

Database :
OAIster
Notes :
Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees, application/pdf, application/pdf, application/pdf, application/pdf, Spanish
Publication Type :
Electronic Resource
Accession number :
edsoai.on1300214302
Document Type :
Electronic Resource