Conflux Quantify® is our proprietary quality control software. We developed it specifically due to our heat exchanger geometries and our manufacturing being so unique.
The key benefits of Conflux Quantify® are:
Our Conflux Quantify® software provides quantified analysis of large CT data sets by scanning entire heat exchanges or a series of parts. The data gathered from the CT scanning is a series of images that represent X-Y slices of the scanned part. These data sets are necessarily extremely large due to the required resolution, making manual analysis impossible. For example, to find a single ‘crack’ in the wall of a heat exchanger you’d have to look over five to ten thousand images for a crack that is just tens of pixels across. Or in the other extreme, if you’re looking for pores (I.e., small cavities within the part), there could potentially be hundreds in a single image across thousands of images. To manually count and measure such pores would be impossible for any significant data set.
Some of the areas that Conflux Quantify® looks at are surface roughness, wall thickness and pore morphology.
Defect detection is also especially important in all areas; a single crack would render a part unusable. Given the monolithic structure of Conflux’s additively manufactured heat exchangers, without Conflux Quantify® observing possible internal defects is often not possible without a destructive inspection process.
In addition to this, Conflux Technology uses proprietary LPBF parameter sets that allow us to print geometries otherwise not possible. Hence unlike OEM qualified parameter sets, defect formation is not known and must be determined by our own development and inspection processes.
In short, Conflux Quantify® will give us repeatable, comparable measurements and helps inform us for process development decisions, parameter development, and performance predictions.
#additivemanufacturing #3dprinting #innovation
ケーススタディ ：3Dプリント熱交換器Conflux Cartridge（コンフラックス・カートリッジ）
GA-ASI Continues Work with Conflux Technology
Boosting performance in Electric Vehicles through additive manufacturing
This site is protected by reCAPTCHA and the Google
Terms of Service apply.