In rubber product manufacturing, vulcanization is the core process that determines final product performance. However, traditional vulcanization workshops face challenges such as extreme high temperatures, heavy reliance on manual labor, production efficiency bottlenecks, and quality fluctuations. With continuous technological advancement, the application of robotic automation systems is driving the rubber manufacturing industry toward intelligent, unmanned, and high-precision production—significantly improving efficiency and product consistency, especially during the production of rubber material.
Sunlite Technology has taken the lead in independently developing a fully integrated automation system that combines automatic feeding, automated material laying, and robotic part handling. This system adopts industrial robots from Inovance, a leading domestic brand, greatly enhancing equipment stability and addressing multiple pain points of traditional operations. It enables fully automated production from feeding to post-processing, substantially improving productivity and product quality—demonstrating outstanding performance particularly in the manufacturing of flat rubber strips.

I. Core System Functions
Intelligent Feeding and Precise Positioning
The material laying machine operates in an array configuration, ensuring fast and accurate material distribution.
Robots use sensor-based positioning to precisely pick rubber preforms from the laying system.
High-precision servo control places the rubber blanks into mold cavities with millimeter-level accuracy, preventing misalignment or damage caused by manual placement.
Stable Operation in High-Temperature Environments
High-temperature-resistant robotic arms (protection rating ≥ IP67, heat resistance >180°C) automatically extract vulcanized products from molds.
Adaptive flexible grippers perform non-destructive handling based on product geometry, ensuring accurate and repeatable pick-and-place operations.
Integrated Post-Processing
Automatic mold release spraying and residue cleaning stabilize quality for subsequent molding cycles.
Vision systems perform real-time inspection for material shortage and uneven distribution, ensuring consistent high-quality output.
Full-Process Logistics Coordination
Seamless integration with upstream equipment (internal mixers / preforming machines) and downstream processes (inspection and packaging lines).
AGV/RGV systems enable fully automated rubber preform supply, vulcanization handling, and semi-finished product transfer.
II. Key Technical Advantages
High-Temperature Rigid Robotic Structure
Robots feature special alloy frames and thermal barrier designs, allowing long-term operation in high-temperature and high-humidity vulcanization environments, with a service life exceeding 100,000 hours.
Multi-Axis Coordinated Control
Six-axis articulated robots provide repeat positioning accuracy of ±0.1 mm and support complex motion trajectories for highly precise operations.
Flexible End Effectors
A modular end-effector library enables rapid switching between suction cups, grippers, and needle arrays, supporting mixed-line production of multiple product specifications and enhancing manufacturing flexibility.
Machine Vision Inspection
3D vision positioning combined with AI recognition accurately determines rubber preform orientation and detects surface defects, effectively compensating for the limitations of manual visual inspection.
Digital Twin Management
Real-time monitoring of robot status and production capacity, combined with fault prediction and seamless MES integration, ensures full-process controllability and production transparency.
III. Core Performance Improvements
Production Efficiency
Vulcanization output per shift increases by 15%–20%, with equipment utilization rates exceeding 90%, significantly boosting overall capacity.
Product Quality
The product qualification rate exceeds 98%, effectively eliminating quality variations caused by manual operations. This advantage is particularly evident in the quality control of dynamat sound deadening applications.
Production Cost
Labor costs are reduced by 60%–70%, while workplace injury risks and training expenses are minimized, greatly improving overall production safety.
Conclusion
The application of robotic automation in vulcanized rubber molding represents not only an equipment upgrade but a fundamental restructuring of the rubber manufacturing value chain. Through intelligent, unmanned, and data-driven production, workers are liberated from high-temperature and high-risk environments, accelerating the industry’s transition toward high-end manufacturing and providing strong support for product quality, delivery efficiency, and sustainable development.
In rubber product manufacturing, vulcanization is the core process that determines final product performance.







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