Systems and methods for evaluation of a superabrasive material
Embodiments of systems and methods are disclosed for evaluating a superabrasive material by a three-dimensional model generated using a computed tomography scanner. The model is analyzed to identify a superabrasive matrix within the model and at least one performance characteristic of the superabrasive material is determined according to at least one property of the superabrasive matrix. Methods are also disclosed for characterizing crystal-to-crystal bonding regions and non-superabrasive material within an interstitial matrix of the superabrasive matrix.
1. A method for evaluating a superabrasive material, the method comprising:
scanning the superabrasive material with a computed tomography (“CT”) scanner;
generating a model of the superabrasive material based at least partially on an output of the CT scanner;
identifying a superabrasive matrix and/or an interstitial matrix within the model;
determining at least one property of the superabrasive matrix and/or the interstitial matrix including:
identifying crystal-to-crystal bonding within the superabrasive matrix; and
determining, for a plurality of the crystal-to-crystal bonding regions, at least one of a maximum width, an area, an aspect ratio, a minimum radius of curvature, or a roughness; and
determining at least one of abrasion resistance of the superabrasive material, impact resistance of the superabrasive material, thermal stability of the superabrasive material, or amount of non-superabrasive material within the interstitial matrix at least partially based on the at least one property.
2. The method of claim 1 wherein determining at least one property of the superabrasive matrix and/or the interstitial matrix comprises determining an amount of crystal-to-crystal bonding regions within the superabrasive matrix.
3. The method of claim 2 wherein determining at least one property of the superabrasive matrix and/or the interstitial matrix comprises identifying a plurality of crystals within the superabrasive matrix and determining for the plurality of crystals at least one of size or roughness.
4. The method of claim 1 , wherein determining at least one property of the superabrasive matrix and/or the interstitial matrix comprises determining a statistical size distribution of a plurality of crystals from which the superabrasive material is formed.
5. The method of claim 1 wherein determining at least one property of the superabrasive matrix and/or the interstitial matrix comprises identifying pores within the superabrasive matrix and calculating at least one of size of the pores or roughness of the pores.
6. The method of claim 1 wherein determining at least one property of the superabrasive matrix and/or the interstitial matrix comprises calculating a ratio of a volume of the interstitial matrix of the superabrasive matrix and a surface area of the interstitial matrix.
7. The method of claim 1 wherein determining at least one property of the superabrasive matrix and/or the interstitial matrix comprises identifying non-superabrasive material within the interstitial matrix of the superabrasive matrix.
8. The method of claim 7 wherein identifying non-superabrasive material within the interstitial matrix of the superabrasive matrix comprises determining a composition of the non-superabrasive material.
9. The method of claim 7 wherein identifying non-superabrasive material within the interstitial matrix comprises determining a leached region of the interstitial matrix.
10. The method of claim 9 wherein determining a leached region of the interstitial matrix comprises determining a leach depth profile of the leached region.
11. The method of claim 1 , further comprising calculating a Young's modulus of the superabrasive material.
12. The method of claim 11 wherein calculating the Young's modulus comprises calculating the Young's modulus by Finite Element analysis.
13. The method of claim 11 further comprising calculating a shear modulus of the superabrasive material at least partially based on the Young's modulus.
14. The method of claim 1 , further comprising:
modifying the model; and
wherein determining at least one property of the superabrasive matrix and/or the interstitial matrix comprises determining at least one property of the modified model.
15. The method of claim 1 , further comprising predicting attributes of the model for at least one of a change in a manufacturing process or a change in starting materials of which the superabrasive material is formed.
16. The method of claim 1 , further comprising:
calculating at least one modified manufacturing parameter including at least one of a modification to a manufacturing process or a modification to starting materials from which the superabrasive compact is formed according to the model; and
manufacturing a second superabrasive material according to the modified manufacturing parameter.
17. The method of claim 1 wherein the CT scanner comprises an X-ray CT scanner.
18. The method of claim 1 wherein the CT scanner comprises a neutron CT scanner.
19. The method of claim 1 wherein the superabrasive material forms at least part of a superabrasive table that is bonded to a substrate.
20. A nontransitory computer readable medium having computer executable instructions stored thereon that when executed by a processor causes the processor to perform a method, the method comprising:
generating a model of a superabrasive material at least partially based on data generated from a computed tomography (“CT”) scanner scanning the superabrasive material;
identifying a superabrasive matrix and/or an interstitial matrix within the model;
determining at least one property of the superabrasive matrix and/or the interstitial matrix including:
identifying crystal-to-crystal bonding within the superabrasive matrix; and
determining, for a plurality of the crystal-to-crystal bonding regions, at least one of a maximum width, an area, an aspect ratio, a minimum radius of curvature, or a roughness; and
determining at least one of abrasion resistance of the superabrasive material, impact resistance of the superabrasive material, thermal stability of the superabrasive material, or amount of non-superabrasive material within the interstitial matrix at least partially based on the at least one property.
21. A computer system, comprising:
at least one processor; and
a memory to which the at least one processor is operably coupled, the memory storing computer executable instructions thereon that when executed by the at least one processor causes the at least one processor to perform a method, the method comprising:
generating a model of a superabrasive material at least partially based on data generated from a computed tomography (“CT”) scanner scanning the superabrasive material;
identifying a superabrasive matrix and/or an interstitial matrix within the model;
determining at least one property of the superabrasive matrix and/or the interstitial matrix including:
identifying crystal-to-crystal bonding within the superabrasive matrix; and
determining, for a plurality of the crystal-to-crystal bonding regions, at least one of a maximum width, an area, an aspect ratio, a minimum radius of curvature, or a roughness; and
determining at least one of abrasion resistance of the superabrasive material, impact resistance of the superabrasive material, thermal stability of the superabrasive material, or amount of non-superabrasive material within the interstitial matrix at least partially based on the at least one property.
22. The computer system of claim 21 wherein the method further comprises directing the CT scanner to scan the superabrasive material.
23. The computer system of claim 21 wherein the CT scanner comprises an X-ray CT scanner.
24. The computer system of claim 21 wherein the CT scanner comprises a neutron CT scanner.