PREVENTATIVE MAINTENANCE
Preventative maintenance
Example: Food industry
EXAMPLE:
THE FOOD INDUSTRY
In the food industry, particularly high product quality requirements are usual. For example in the area of chocolate manufacturing:
Tempered chocolate is poured into moulds, after which the moulds are reused. Frequently the moulds are subject to wear over time, and must be replaced. In the past, such wear could really only be identified on the basis of defective products. Accordingly, these goods had to be disposed of (or sold as so-called factory seconds), since for premium products faulty shapes do not go into the regular trade.
With our inspection system, the moulds are inspected after each use, and defects that were previously undetectable can now be identified in good time, before they cause production defects. This inspection system generates images of the material structure of the moulds, and our image detection software analyses these images and reports defects completely automatically.
Thus, the mould can be replaced in good time and defective goods are almost completed avoided.
- Real time inspection of casting moulds
- Automatic detection of material defects
- Timely replacement of production equipment
- Reduction of rejects and production failures
EXAMPLE: INDUSTRY
Example: Industry
The inspection of safety-related components represents an example from the industrial sector. The specific application is the in-depth quality inspection of the material used.
It is essential that the wheels (rims, tyres, bearings) used in mass transport vehicles, such as buses or aeroplanes, are free of defects. Various quality inspections are performed to ensure this. One of these inspections pertains to the material structures themselves.
Irregular structures of the material (plastic or metal) are potential fracture points and constitute a significant risk. With our X-ray system we can completely penetrate the material and generate images that make specific material faults visible. The corresponding image recognition software is able to analyse the generated images and identify material that is not free of faults. System safety is increased, and costly downstream delays and downtimes are also avoided.
- Inspection of products immediately prior to use
- Automatic detection of material defects
- Timely replacement of products
- Increased safety and reduced downtimes
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