With the rapid development of new energy vehicles and consumers' ever-increasing demands for quality, traditional welding automation solutions are facing multiple challenges, including insufficient flexibility, information silos, and difficulty adapting to new materials and processes.
New Challenges in Automotive Welding: Why is a Technological Upgrade Necessary?
Automotive manufacturing, especially body-in-white welding, places unprecedented demands on automated equipment:
The ultimate pursuit of quality and data traceability
The current, voltage, time, and other parameters of every weld point need to be precisely recorded to achieve full lifecycle quality traceability.
Balancing safety and efficiency in human-robot collaboration
In assembly and sub-assembly lines, enabling robots and skilled workers to collaborate safely and efficiently to complete complex welding tasks has become crucial for improving overall efficiency.
Ciansung's Welding Technology Upgrade: From "Outdated Semi-Automation" to "Automation and Intelligence"
Intelligent Control
Welding Expert Process Package: Ciansung has developed a verified welding process database for different materials (low-carbon steel, aluminum, galvanized sheet) and processes (MIG/MAG, laser hybrid welding). Users only need to select the material thickness and joint type, and the system will automatically recommend and optimize welding parameters, significantly reducing the reliance on the experience of highly skilled welders.
Digital Twin and Offline Programming: Through offline programming software, engineers can simulate, program, and optimize the cycle time of the entire welding workstation in a virtual environment, and directly send the error-free program to the on-site robot, greatly shortening the commissioning cycle of new vehicle production lines.
From Single Station to Networked Collaboration
Mobile Robot Welding: For welding points in hard-to-reach areas such as the interior of the car body and chassis, the Ciansung composite robot (mobile platform + collaborative robotic arm) can autonomously navigate to the predetermined position, and the robotic arm performs the welding operation, breaking through the limitations of fixed workstations and realizing a "robot finds the welding point" operation mode.
Comprehensive Welding Data Networking: Real-time parameters of all welding processes (current, voltage, wire feeding speed), robot trajectories, and quality inspection results are collected and uploaded to the factory MES or cloud platform, forming a "digital welding archive" for each vehicle, providing a data foundation for quality analysis, process optimization, and predictive maintenance.
Application Scenarios in the Automotive and other Industries
Chassis and Subframe Welding
For heavy and structurally complex components, multiple robots can work collaboratively, or a single multi-functional robot can perform multi-station operations, improving production efficiency and space utilization.
Online Repair Welding and Adjustment on the Assembly Line
In the final assembly stage, robots can collaborate with workers to perform precise repair welding or assembly on individual components requiring adjustment, demonstrating excellent human-robot collaboration capabilities.
The evolution of automotive manufacturing is, in a sense, also a history of welding technology advancement. Through deep insights into industry pain points and relentless independent innovation, Ciansung has elevated its Duoke robots from “execution tools” to “intelligent process carriers,” pioneering new paths of flexibility, digitalization, and intelligence in the traditional field of welding.
Contact: Heidi
Tel: +86 183 2103 6277
E-mail: Heidi@cian-sung.com
WhatsApp:+86 183 2103 6277
Add:
【International Marketing Department】
11A Yindong BLG. No.58 Xinjinqiao RD. Pudong Shanghai, China
【Suzhou Factory】
No.111, Nanyuan Road, South District, Zhangjiagang Economic and Technological Development Zone, Jiangsu Province, China
【Xuzhou Factory】
No. 19 Wujiang Road, Taishang Industrial Zone, Yitang Town, Pizhou City, Jiangsu Province, China