Can you expand on the technical data of your program for Image analysis with respect to graphite shape and nodularity?
TCR's in-house developed Microstructure Characterizer (MiC) 2.0 is a powerful image analysis software for Metallurgical use. We sell this tool to assist today's modern metallurgists.
MiC has built-in engine to recognize the shape of phase in case of cast iron it is Graphite Morphology. This is accomplished using a sort of Artificial Intelligence sequence taken from Japanese resources. There are six base types of presence of Graphite in the cast irons. Type I to VI and there are sub-classes in accordance to ASTM.
MiC has adopted the path as per guidelines given in Japanese International Standards number JIS 5502. This standard has reverse pattern than the ASTM and is widely adapted to cast iron user community for acceptance.
MiC routines are provided to identify the shape of graphite; hence depending on presence of majority of the shape classification is assessed. Experiments at MiC Software Quality Control Laboratory conclude that graphite morphology detection accuracy increases when microstructure is kept in 'as polished' condition. Graphite morphology detection in accordance to any other International or Custom standard may be incorporated upon special customization.
MiC shape identifier engine works on the principle of two-dimensional projection of particles. Especially, graphite particles possess quite a different morphology. For qualifying them to be nodular, their two dimensional projection is compared to the normal circularity index. Index of 80 is considered for qualification to be called "nodular". This guideline has been adopted from the Japanese International Standard.
MiC provides three distinguished results. (1) Total count (2) Total nodular count (3) Nodularity as percent of nodules of total counts in a given image.
Besides a list of all the particles is provided for reference to find which particle on the screen identified as nodular and which one irregular; with area covered under each discrete particle is also listed.
Any strength of customization is possible with MiC, right from new detection logic concept or image resolution or simultaneous image processing or with regard to reporting. What ever wished by the customer can be fulfilled with highest accuracy and repeatability algorithms.
The absolute coding logic however, is not unveiled and that is where the secret of MiC success lies. In term, it is at the discretion of buyer of MiC that if necessitated, we can fully embed all their ideas in MiC to provide integrated solution.
Please note that in case you have any specific requirements, our software engineers can incorporate the same within the software. The software is for sale and is priced at US $5000 per installation. Do let us know of your interest in the same.
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Does your software utilize the Haynes intercept method or the Abram's three circle intercept method?
MiC 2.0 software utilizes the Haynes intercept method for grain size measurement.
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Can your software rate nodular graphite size per ASTM A247, in addition to nodularity?
Yes, it is possible to check Graphite size as per ASTM A247-Article 9.0 (Visual comparison method). We can provide a automatic rating system upon a special custom software code change requirement.
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When identifying a specific phase is there an adjustment that can be made manually that regulates what phase will be detected and subsequently measured?
Retained austenite % is calculated based on area fraction of the image. The tool has provision of finding five different phases present in the microstructure. You need to select each phase with software tools and its % can be derived.
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We are interested in MiC 2.0, but only want to procure the automated Inclusion Rating Software with motorized stage?
Please note that we do not have motorized stage for automatic analysis for inclusion rating. We have semi automatic way of detecting inclusion rating by MIC software. In that case the live image is compared on the computer screen and measurements are done with selected image of worst filed depending upon the comparison as per standard photographs. Measurements can be done with encircling the inclusions. This is very effective way of inclusion rating. One can not replace metallurgist in the process for inclusion rating with semi automatic software, as image selections is done by comparison method. One needs good sample preparation for correct inclusion analysis. If you need any other information or clarification do not hesitate to contact us.
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