In today’s era of industrial automation, Jiangmen Yatai is committed to providing efficient and precise surface treatment equipment for a variety of industries. Our polishing machine series includes CNC polishing machines, automatic polishing machines, and robotic polishing workstations. These solutions meet diverse needs ranging from standardized mass production to complex custom part processing, and are widely used in industries such as metal products, sanitary ware, kitchenware, and automotive parts.
The CNC polishing machine is an intelligent device based on a computer numerical control system. It operates automatically according to the 3D trajectory of the product’s shape, ensuring consistent and high-precision polishing results. It is especially suitable for complex-shaped products requiring high surface quality, such as stainless steel crafts and aluminum alloy components. This machine significantly improves production efficiency while reducing labor costs.
The automatic polishing machine features flexible configuration options, allowing different polishing heads to be selected based on the product requirements. It can perform various polishing processes from rough to fine to mirror finish. Its modular design makes it adaptable to different sizes and materials, making it ideal for mass industrial production and enhancing automation levels.
The robotic polishing workstation integrates robotic arm control systems with multi-process platforms. It can switch between sanding and polishing operations according to process requirements, supporting flexible manufacturing. It is particularly suitable for multi-variety, small-batch production, ensuring high-quality finishing while greatly improving automation and adaptability.
Jiangmen Yatai's polishing equipment focuses on continuous innovation and quality assurance, aiming to provide customized and intelligent polishing solutions. Visit our product page to explore more technical details and application cases, and take your surface finishing process from manual labor to smart manufacturing.