Used PANASONIC NPM-W2 #293646213 for sale

PANASONIC NPM-W2
ID: 293646213
Vintage: 2020
Pick and place machine Head: 16 / 16 2020 vintage.
PANASONIC NPM-W2 is a sophisticated and high-tech pc board assembly and manufacturing equipment. Developed by PANASONIC, the system is a top of the line, full-scale solution for the production of pc boards. It's composed of multiple components, including pre-programming, material loading, component placement, soldering, restacking and inspection. The pre-programming element of NPM-W2 allows for data to be pre-defined and loaded into the unit. This ensures that programming is correct and allows for quick and easy material loading. The machine then reads the program to determine the type of materials to be used, such as resistors, capacitors, transistors, etc. once the components are loaded, they are placed onto the pc boards in the most efficient, accurate and effective manner possible. Following component placement, the soldering stage is entered. Here, the pc boards are heated, soldered and cooled depending on the component's requirements. Soldering is performed in a sub-assembly production tool so that parts and components can be easily built with great accuracy and precision. Once soldering has been completed, restacking is performed to ensure that the pc boards are in the perfect order for completion and inspection. The asset uses robots for restacking, allowing for the highest level of accuracy and reliability. Finally, the pc boards are inspected by PANASONIC NPM-W2 model, ensuring that defects, miscues or flaws don't pass through the production process. This inspection can be performed on-line or off-line to suit the user's requirement. Overall, NPM-W2 has been developed to provide pc board manufacturers with a comprehensive and reliable solution for the assembly and manufacturing of their components. From the pre-programming to the component placement and soldering, stacking and inspection, the equipment promises to be a powerful tool that increases productivity and quality while optimizing production.
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