CFD Modelling and Optimization Procedure of an Adhesive System for a Modular Climbing Robot

• Main Authors: Miguel Hernando, Virgilio Gómez, Alberto Brunete, Ernesto Gambao
• Format: Article
• Language: English
• Published: MDPI AG 2021-02-01
• Series: Sensors
• Subjects: modular climbing robots; vacuum generation; radial impeller; computer fluid dynamics; test rig measurements; optimization
• Online Access: https://www.mdpi.com/1424-8220/21/4/1117

Adhesion systems are very important in robots for infrastructure inspection (especially in vertical walls). They present the challenge of optimizing the ratio vacuum/power consumption in battery-powered robots. In this paper, a CFD (computer fluid dynamics) modelling and optimization process of a robot adhesion system is carried out to determine the best performing configuration in terms of vacuum and power consumption. Analytical and numerical models were developed to predict the behaviour of the system for different configurations. The models were validated, using test rig measurements, by calibrating an arbitrary defined inlet height that simulates the leakage flow. Then, different geometric parameters were varied to determine the best performing configuration based on the vacuum/power consumption ratio value. The model presented in the paper was capable of predicting the behaviour of the system for different configurations, with a margin of error of 15% for the vacuum prediction and 25% for the motor power calculation. Finally, the model was used to optimize parameters of the system, like the number of blades of the impeller. The adhesion system was conceived for the modular autonomous climbing legged robot ROMERIN.