Used MIT Linearflex 822I #9234975 for sale

MIT Linearflex 822I handler is a robotic material handling solution specifically designed for the semiconductor fabrication and packaging industries- though it can also be used efficiently in other production environments. The 822I is able to perform a wide variety of tedious material handling tasks, such as loading, unloading, positioning, and collecting components in a repeatable and reliable manner. The 822I has a heavy-duty frame with a maximum payload capacity of 585kg, enabling it to handle large components of various shapes and sizes. The modular construction of this handler has been deliberately designed to allow for great flexibility in terms of parts loading and unloading, as well as other application scenarios. In addition, it's powered by an AC servo drive equipment for maximum efficiency and reliability. For applications that require precise placement of parts, the 822I incorporates a repeatable accuracy of 0.05mm, as well as an adjustable speed control function. Furthermore, the unit's anti-collision technology provides consistent and safe operation at all times. This feature helps to minimize the risk of damage to expensive parts. In terms of power requirements, the 822I requires a single-phase AC voltage of either 200V or 380V, while the motor phase ranges from 3-phase AC from 200 to 480V. The unit also has other options, such as a linear encoder, EtherCAT compatibility, and the ability to mount a vision system. The 822I can be customized based on the needs of the user, with accessories including a vision unit, vacuum tooling, support towers, and linear motion guides. In addition, the unit boasts a compact design which makes it ideal for both large and small-scale production processes. Overall, Linearflex 822I handler is a highly efficient and reliable machine, ideal for a wide range of applications in material handling and beyond. With its robust construction, repeatable accuracy, adjustable speed control, and anti-collision technology, the 822I excels in reducing human errors and increasing the efficiency of the production process.