Used YESTECH YTV 2080 #9216775 for sale

YESTECH YTV 2080 is a comprehensive, fully automated PC board assembly and manufacturing equipment designed to support all stages of the PC board assembly process. The system is capable of accommodating a wide range of component sizes, including 0201 (0.65 x 0.25mm), 0402 (0.8 x 0.2mm), 0603 (1.6 x 0.5mm), 0805 (2.0 x 0.5mm), 1206 (3.2 x 0.5mm), SOP, SOIC, and others. It has a component placement accuracy of +/- 30μm for both pick and place operations, allowing for precise placement of components onto the board. The unit's power supply has a range of 50 to 400VAC, which makes it suitable for a variety of SMT processes, including vapor phase reflow, stencil-printed wave soldering, and robotic tray soldering. The machine is equipped with dual vibratory component feeders and dual placement heads to guarantee high speed production and maximum throughput. The feeders can accommodate multiple component types and shapes, including 0201 chip capacitors, 0402 chip resistors, and 0603 surface mount components. Additionally, the pneumatic adhesive dispensing machine allows for fast and accurate dispensing of a variety of names, such as epoxies, silicones, and form-in-place gaskets. YTV 2080 features a back-end tool with image recognition and intelligent AOI technology to ensure the quality of the assembly process. It has an advanced vision camera module and can detect the presence and correct placement of components, pins, mark points, and other artifacts with a high degree of accuracy. For post-process audit, the asset is equipped with a test model to give visual and electrical verification of the assembly quality. YESTECH YTV 2080 is suitable for a variety of industries, and its modular design ensures maximum flexibility to meet customer needs. The equipment is equipped with a user-friendly interface for easy programming and operation. Additionally, the robust and reliable design of the system ensures a long product life, while the small footprint and low power consumption keep operating costs to a minimum.