Maintenance and testing protocols in the railway industry

Massaro, Alessandro; Cannella, Emanuele; Dipierro, Giovanni; Galiano, Angelo; D’Andrea, Giovanni; Malito, Giorgio

doi:10.21014/acta_imeko.v9i4.718

Cited by 4 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Morgan's research showed readers the ability of next-generation industry 4.0 machines to demonstrate intelligence and reconfigurability. Massaro A et al [7] designed an intelligent control and drive system of adaptive industry 5.0 equipment for the railway industry and designed three new maintenance and test protocols, respectively. Agricultural machinery and equipment also need to be improved to meet the increasing demand for automated agricultural machinery.…”

Section: Introductionmentioning

confidence: 99%

Design and Testing of Accurate Dicing Control System for Fruits and Vegetables

et al. 2022

View full text Add to dashboard Cite

It is hard to control the dicing size of current fresh-cutting devices for fruits and vegetables precisely, and this can be influenced by complex working environments. This paper looks at traditional three-dimensional fresh-cutting machines and, apart from analyzing the force-and-motion equation to determine the minimum rotational speed of the roller, the cross-cutting tool’s independent drive system, the speed detection system of the material before dicing, and shaft-speed monitoring have also been analyzed in order to develop precise control technology for three-dimensional fruit and vegetable dicing by considering dicing input-speed detection and by fine-tuning the cross-cutting tool’s dicing speed. Performance tests are carried out on the prototype before and after improvement. The results show that when the size of carrots and potatoes was 11 mm × 10 mm × 10 mm and 11 mm × 10 mm × 12 mm, the slice thickness and strip thickness error before improvement were 20% and 5%, respectively. Due to the structural limitations, the slice error was large, but the strip error as ideal. The dicing error was greater than 15% due to the different damping coefficients of the materials and the variable speed movement. After the adjustment, the overall dicing error was less than 10%, and the accuracy and stability were higher.

show abstract

Section: Introductionmentioning

confidence: 99%