ABB-Powered Robotic System Transforms EV Component Manufacturing
In a significant leap toward smarter, more efficient manufacturing, a new robotic automation system has been successfully deployed to revolutionize the production of electric vehicle (EV) water tank connector components. Developed by a collaborative team from Xianning Vocational Technical College, Changsha University of Science and Technology, and Hubei Qingtuo Precision Machinery Co., Ltd., the system integrates a single industrial robot to manage the automatic loading and unloading operations across three CNC lathes. This innovation not only dramatically increases production throughput but also redefines the standards for cost-effective, high-precision, and human-safe manufacturing in high-volume component production.
As the global automotive industry accelerates its shift toward electrification, the demand for precision-engineered EV components has surged. Among these, water tank connectors—critical for thermal management systems in electric drivetrains—require consistent quality, tight tolerances, and uninterrupted production cycles. Traditionally, such parts have been processed manually, with operators frequently loading raw blanks and removing finished parts from CNC machines. This repetitive, labor-intensive process not only increases the risk of workplace injuries but also introduces variability in cycle times and part quality.
Recognizing these challenges, the research team led by Wang Haiping, Jin Yan, Chen Xiaomin, Qiu Weiguang, and Li Xiaowei set out to design a solution that could seamlessly integrate into existing factory layouts while maximizing automation efficiency. Their breakthrough lies in the development of a fixed-installation robotic workstation capable of servicing multiple machines without requiring additional floor space or complex rail systems. The result is a flexible, reliable, and scalable automation cell that delivers measurable improvements in productivity, safety, and operational economics.
At the heart of the system is the ABB IRB1410 industrial robot—an articulated six-axis manipulator known for its precision, speed, and compact footprint. With a rated payload of 5 kg and a repeatable positioning accuracy of ±0.02 mm, the IRB1410 is ideally suited for handling small to medium-sized components like the EV water tank connectors. Unlike mobile robotic platforms that require linear tracks or gantry systems, this installation keeps the robot stationary, mounted centrally within a triangular arrangement of three S-30 CNC lathes. This strategic positioning minimizes travel distance and optimizes cycle time, allowing the robot to efficiently service all three machines in rapid succession.
The original factory layout featured a “triangular” or pin-shaped configuration of the three lathes, a design already optimized for space utilization. Rather than reconfiguring the entire production line, the engineering team preserved the existing machine positions and retrofitted the cell with robotic automation. This approach significantly reduced implementation costs and downtime, making the upgrade more accessible for small and medium-sized enterprises (SMEs) looking to adopt Industry 4.0 technologies without major capital expenditures.
To enable seamless material flow, two conveyor belts were integrated into the system—one dedicated to delivering raw workpieces to the robot’s pickup station, and the other for transporting finished parts away from the machining area. Both conveyors are driven by a single electric motor connected through a pair of identical gears, ensuring synchronized operation and eliminating speed mismatches that could lead to jams or misalignment. This mechanical synchronization reduces energy consumption and simplifies maintenance, as only one motor needs to be monitored and serviced.
One of the most innovative aspects of the system is the dual-station end-effector, or robotic gripper, designed specifically for simultaneous loading and unloading. The gripper features two independent clamping jaws, each capable of holding one workpiece. In its initial state, the first station holds a raw blank, while the second station is empty. When the robot approaches a CNC lathe that has just completed a machining cycle, it uses the second jaw to retrieve the finished part. After extraction, the wrist rotates 180 degrees, positioning the raw blank for insertion into the machine’s chuck. This “swap-and-rotate” motion allows the robot to complete both unloading and loading in a single continuous movement, drastically reducing idle time and maximizing machine utilization.
The gripper is actuated by a pneumatic two-finger cylinder, powered by compressed air filtered and regulated through a standard air preparation unit. The air circuit is split into three branches via a manifold: one controls the quick-change coupler that allows for tool swapping, while the other two independently operate the two gripping stations. Directional control is achieved using 5/3-way solenoid valves, which precisely manage airflow to open and close the gripper jaws. Magnetic sensors embedded in the gripper provide real-time feedback on jaw position, confirming whether each station is open or closed. This closed-loop verification ensures operational reliability and prevents collisions or misfeeds.
To accommodate potential future changes in part geometry or production requirements, the gripper is connected to the robot arm via a quick-change coupling mechanism. This modular design allows technicians to swap end-effectors in minutes, enabling the same robot to handle different component types without extensive reprogramming or hardware modifications. Such flexibility is essential in modern manufacturing environments where product lifecycles are short and customization demands are rising.
On the machine side, the CNC lathes were upgraded from manual to hydraulic chucking systems. This change allows for consistent clamping force and faster actuation, both of which are critical for maintaining dimensional accuracy and reducing cycle time. The hydraulic system is controlled directly through the robot’s communication interface, eliminating the need for separate PLC programming for chuck operations. Additionally, the machining program was modified to include a delay after the robot places the workpiece, ensuring sufficient time for the chuck to fully close before the spindle starts rotating.
Communication between the robot, CNC machines, and the central control system is handled through a robust industrial network architecture. The master controller is a Siemens S7-1214C PLC, chosen for its reliability, processing power, and native support for Profinet—an industrial Ethernet protocol widely used in automation systems. The PLC coordinates all peripheral devices, including conveyors, safety interlocks, and status indicators, while the ABB robot controller manages the motion sequences and gripper operations. Data exchange between systems is facilitated through a combination of Profinet, I/O signals, and industrial Ethernet, creating a tightly integrated and responsive control environment.
Safety was a paramount consideration in the system’s design. Given the high-speed movements of the robot and the proximity of human operators during material loading and unloading, a comprehensive safety enclosure was implemented. The robot’s workspace is surrounded by interlocked safety fencing and access doors. If any door is opened during operation, the system immediately halts all motion, preventing accidents. Light curtains and emergency stop buttons are also installed at key access points, providing multiple layers of protection. These measures ensure compliance with international safety standards such as ISO 10218 and IEC 60204.
The operational workflow follows a carefully choreographed sequence. When a machine completes its machining cycle, it sends a signal to the robot indicating readiness for unloading. The robot then moves to the conveyor, picks up a raw workpiece, and proceeds to the machine. It retrieves the finished part, performs the 180-degree rotation, loads the new blank, and exits the machine area. The used part is then placed on the outbound conveyor for manual collection. Once this cycle is complete, the robot moves to the next machine in line, repeating the process. This sequential yet parallelizable logic allows the robot to keep all three lathes running continuously, with minimal downtime between cycles.
To validate the system’s performance, a series of on-site tests were conducted at the partner manufacturing facility. Before automation, the production line relied on manual labor, with operators working 12-hour shifts in a two-shift rotation. Actual machine uptime was limited to approximately 9 hours per shift due to breaks, fatigue, and logistical delays. The total manual loading and unloading time per cycle was measured at 72 seconds, contributing significantly to the overall cycle time.
After the robotic system was commissioned, the results were transformative. The automated loading and unloading time was reduced to just 50 seconds—a 30% improvement. More importantly, the robot operates 24 hours a day without fatigue, increasing machine utilization from 18 to 24 hours daily. As a result, hourly production capacity jumped from 15 parts per hour to 36 parts per hour, representing a 140% increase in throughput.
Labor requirements were also significantly reduced. Previously, six operators were needed to manage the three machines under the two-shift model. After automation, only four workers are required—one per shift to monitor the system and handle material loading and unloading at the conveyor stations. This represents a 33% reduction in direct labor costs. Over the course of a year, the company realized an estimated cost savings of 500,000 RMB, primarily due to lower wages, reduced error rates, and higher equipment utilization.
Beyond the immediate financial benefits, the system has enhanced product consistency and process reliability. Human operators, even when highly skilled, can introduce variability in part placement, clamping force, and timing. The robot, by contrast, performs each task with identical precision every time, leading to tighter tolerances and fewer rejected parts. This level of repeatability is particularly valuable in automotive supply chains, where quality audits and traceability are increasingly stringent.
The success of this project also highlights the growing role of academic-industry collaboration in advancing manufacturing technology. The research team brought together expertise in mechanical design, robotics, automation control, and industrial engineering. Their work was supported by funding from the National Natural Science Foundation of China, the Hubei Provincial Department of Education, the Jiangsu Provincial Program for Overseas Training of Young and Middle-Aged Teachers, and the Xianning Municipal Science and Technology Project. This multi-tiered support underscores the national importance placed on intelligent manufacturing and technological self-reliance.
Moreover, the system’s design philosophy emphasizes scalability and adaptability. While currently configured for three CNC lathes, the architecture could be extended to include additional machines or different types of equipment, such as milling centers or grinding stations. The use of standardized communication protocols and modular components ensures that future expansions can be implemented with minimal disruption.
Another notable advantage is the system’s ability to operate in harsh industrial environments. Unlike human workers, the robot is unaffected by noise, heat, metal shavings, or coolant mist—common conditions in machine shops. This resilience not only improves uptime but also protects workers from exposure to potentially hazardous conditions.
From a sustainability perspective, the automation system contributes to more efficient resource use. By reducing scrap rates and energy waste associated with idle machines, it supports greener manufacturing practices. The reduction in labor demand also allows companies to redeploy personnel to higher-value tasks such as quality inspection, process optimization, and preventive maintenance—roles that require human judgment and problem-solving skills.
Looking ahead, the research team plans to explore further enhancements, including the integration of vision systems for part identification and alignment, predictive maintenance algorithms based on sensor data, and cloud-based monitoring for remote diagnostics. These upgrades would push the system even closer to full autonomy, aligning with the broader goals of smart factories and digital twins.
In conclusion, the development and deployment of this robotic loading and unloading system mark a significant milestone in the evolution of CNC machining automation. By enabling a single robot to service multiple machines with high reliability and flexibility, the system offers a compelling model for manufacturers seeking to boost productivity, reduce costs, and improve workplace safety. Its success demonstrates that intelligent automation is no longer the exclusive domain of large corporations with deep pockets—it is now accessible, practical, and economically viable for a wide range of industrial applications.
As global competition intensifies and customer expectations rise, the ability to produce high-quality components at scale will remain a key differentiator. Systems like this one, born from rigorous research and practical engineering, are paving the way for a new era of manufacturing excellence—one where humans and machines collaborate to achieve outcomes neither could accomplish alone.
Wang Haiping, Jin Yan, Chen Xiaomin, Qiu Weiguang, Li Xiaowei, Xianning Vocational Technical College, Changsha University of Science and Technology, Hubei Qingtuo Precision Machinery Co., Ltd., Mechanical & Electrical Engineering Technology, DOI: 10.3969/j.issn.1009-9492.2024.06.013