Nikon Metrology

ModelMaker H120 enables precision repair of used mould tools

Handheld Scanning, Nikon Metrology

Nikon Metrology’s ModelMaker H120 can be adopted for defect detection in used mould tools. High accuracy laser scanned data is compared to the original 3D design data before re-machining and restoring the mould to the same quality as a new part.

Okuma is trying to close the production chain when it comes to used and worn out moulds. These worn and used moulds no longer represent the original part, the complex shapes are poorly defined and the tool becomes unreliable. To repair them, information is required to review the current state and shape of the used moulds. As demonstrated in the video (below), the Nikon Metrology ModelMaker H120 has been employed to detect defects and surface quality issues to compare the used mould against original 3D data.

Find out more about the ModelMaker H120.

 


 

 


 

After the comparison, areas to be repaired are identified. In the example of the part demonstrated, extra material is required which can be accomplished with the help of Laser Metal Deposition (LMD – a form of additive manufacturing).

To program this LMD process, the surface data scanned with the ModelMaker H120  is imported into the CAM System. In this case, a special software developed by AixPath is used to create the toolpath needed for adding the correct amount of material. The next step is to re-machine the mould again and make sure that the newly cut part has the original shape again.  Finally, the laser scanner is used again for accuracy verification of the modified part, to ensure successful restoration to the same quality as a new part.

 


 

The cutting-edge ModelMaker H120 incorporates blue laser technology, ultra-fast frame rate, specially developed Nikon optics and the ability to measure the most challenging materials. This represents the next generation of portable laser scanning and makes no compromises in addressing the market needs by efficiently delivering the most detailed and accurate data in a fraction of the time of competing technologies. Find out more.