A Data-Driven Approach for Energy Consumption Modeling and Optimization of Welding Robot Systems
Welding robots play a crucial role in manufacturing industries, where minimizing energy consumption (EC) is increasingly important for enhancing efficiency and reducing operational costs. This study presents a data-driven approach to model and optimize EC in welding robot systems, utilizing a datase...
Saved in:
| Main Authors: | Minling Pan, Bingqi Jia, Lei Zhang, Haihong Pan, Lin Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/13/6/532 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Robotic Tack Welding Path and Trajectory Optimization Using an LF-IWOA
by: Bingqi Jia, et al.
Published: (2025-06-01) -
A Scoping Review of Energy Consumption in Industrial Robotics
by: Johannes Muru, et al.
Published: (2025-06-01) -
A Novel Vibration Suppression Method for Welding Robots Based on Welding Pool Instability Evaluation and Trajectory Optimization
by: Mingtian Ma, et al.
Published: (2024-12-01) -
Kinematics Analysis and Trajectory Optimization of the Hybrid Welding Robot
by: Cai Ganwei, et al.
Published: (2023-12-01) -
A review of the influencing factors of building energy consumption and the prediction and optimization of energy consumption
by: Zhongjiao Ma, et al.
Published: (2025-02-01)