TY - JOUR
T1 - Compatibility Assessment for Interfaces in Drivetrains of Robot-Like Systems
AU - Volpert, Marcus
AU - Vogel-Heuser, Birgit
AU - Hujo, Dominik
AU - Stahl, Karsten
AU - Zimmermann, Markus
N1 - Publisher Copyright:
© 2024 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)
PY - 2024
Y1 - 2024
N2 - Due to the complexity of robot-like systems (RLS), new developments are often avoided, and most variants of the systems are designed. The primary determinant of an RLS is its drivetrain, which comprises purchased components, namely the controller, motor driver, motor, and gearbox. Each of these purchased parts has different interfaces that are not standardized. If the interfaces are sufficiently complex, the compatibility of the parts can no longer be guaranteed manually. Therefore, this paper presents a draft ontology that verifies the compatibility of purchased parts in RLS drivetrains. Classes and properties are obtained from expert knowledge, norms, data standards, and data sheets to build an ontology. The ontology design is evaluated using an application example for a motor-gearbox interface.
AB - Due to the complexity of robot-like systems (RLS), new developments are often avoided, and most variants of the systems are designed. The primary determinant of an RLS is its drivetrain, which comprises purchased components, namely the controller, motor driver, motor, and gearbox. Each of these purchased parts has different interfaces that are not standardized. If the interfaces are sufficiently complex, the compatibility of the parts can no longer be guaranteed manually. Therefore, this paper presents a draft ontology that verifies the compatibility of purchased parts in RLS drivetrains. Classes and properties are obtained from expert knowledge, norms, data standards, and data sheets to build an ontology. The ontology design is evaluated using an application example for a motor-gearbox interface.
KW - drivetrains
KW - interface modeling
KW - model-based systems engineering
KW - ontology
KW - robot-like systems
UR - http://www.scopus.com/inward/record.url?scp=85189778328&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2024.02.115
DO - 10.1016/j.procs.2024.02.115
M3 - Conference article
AN - SCOPUS:85189778328
SN - 1877-0509
VL - 232
SP - 2994
EP - 3002
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023
Y2 - 22 November 2023 through 24 November 2023
ER -