US2023373847A1PendingUtilityA1
Ceramic Glaze Mixer Control
Est. expiryNov 5, 2038(~12.3 yrs left)· nominal 20-yr term from priority
C03C 8/14C03C 8/02C04B 41/86B01F 23/59B01F 23/511G16C 20/00C04B 2111/00198B28C 1/006B28B 11/04B28C 9/002G05D 11/13C03C 2205/00B01F 23/56B01F 2101/30B01F 35/2202
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Claims
Abstract
In one example, a solver engine may execute a reverse calculation to determine a recipe ingredient set based on a goal descriptor describing a ceramic glaze. A descriptor interface of the solver engine may receive a goal descriptor describing a ceramic glaze. A model applicator of the solver engine may apply a glaze process model to the goal descriptor. The model applicator may automatically reverse calculate a glaze recipe describing a recipe ingredient set to produce the ceramic glaze described by the goal descriptor. A glaze mixing machine interface may direct a glaze mixing machine to mix the recipe ingredient set to produce the ceramic glaze.
Claims
exact text as granted — not AI-modifiedWe claim:
1 . A solver engine for a glazing system, comprising:
a descriptor interface configured to receive a goal descriptor describing a ceramic glaze; a model applicator configured to apply a glaze process model to the goal descriptor and to automatically reverse calculate a glaze recipe describing a recipe ingredient set to produce the ceramic glaze described by the goal descriptor; and a glaze mixing machine interface configured to direct a glaze mixing machine to mix the recipe ingredient set to produce the ceramic glaze.
2 . The solver engine of claim 1 , further comprising:
an assay device interface configured to receive from an assay device a scan of a glaze sample to determine a goal chemical composition to act as the goal descriptor for the ceramic glaze.
3 . The solver engine of claim 1 , further comprising:
a user input configured to receive a goal chemical composition to act as the goal descriptor for the ceramic glaze.
4 . The solver engine of claim 1 , further comprising:
a user input configured to receive a goal property description to act as the goal descriptor for the ceramic glaze.
5 . The solver engine of claim 1 , wherein the model applicator is further configured to determine a goal chemical composition for the ceramic glaze based on a goal property description.
6 . The solver engine of claim 1 , wherein the model applicator is further configured to apply a goal property weight to a goal property description of the ceramic glaze.
7 . The solver engine of claim 1 , further comprising:
a model generator configured to set a goal property range for a goal property description of the ceramic glaze.
8 . The solver engine of claim 1 , further comprising:
a user input configured to receive an ingredient property description for a recipe ingredient of the recipe ingredient set.
9 . The solver engine of claim 1 , wherein the model applicator is further configured to apply an ingredient property weight to a recipe ingredient of the recipe ingredient set.
10 . The solver engine of claim 1 , further comprising:
a user input configured to receive an ingredient range for a recipe ingredient of the recipe ingredient set.
11 . The solver engine of claim 1 , further comprising:
a user input configured to receive a chemical component adjustment to a chemical component of the goal chemical composition of the ceramic glaze.
12 . The solver engine of claim 1 , wherein the model applicator is further configured to adjust a complementary chemical component of a goal chemical composition of the ceramic glaze in response to a chemical component adjustment of a chemical component of the goal chemical composition of the ceramic glaze.
13 . The solver engine of claim 1 , further comprising:
an assay device interface configured to receive from an assay device a scan of a resulting ceramic glaze of the glaze recipe.
14 . The solver engine of claim 1 , wherein a model applicator is further configured to adjust the glaze recipe in response to a scan of a resulting ceramic glaze of the glaze recipe.
15 . A computing device, having a memory to store a series of instructions that are executed by at least one processor to implement a solver engine, the computing device configured to
receive a goal property description for the ceramic glaze; automatically reverse calculate a glaze recipe describing a recipe ingredient set to produce the ceramic glaze having the goal property description; and present the glaze recipe describing the recipe ingredient set to produce the ceramic glaze to a ceramic technician.
16 . The computing device of claim 15 , wherein the computing device is further configured to
apply a glaze process model to a goal chemical composition for the ceramic glaze.
17 . The computing device of claim 15 , wherein the computing device is further configured to
calculate an error value for a resulting chemical composition set in comparison to a goal chemical composition for the ceramic glaze.
18 . The computing device of claim 15 , wherein the computing device is further configured to
adjust a complementary chemical component of the goal chemical composition of the ceramic glaze in response to a chemical component adjustment of a chemical component of the goal chemical composition of the ceramic glaze.
19 . A machine-implemented method, comprising:
applying a glaze process model to a goal chemical composition for a ceramic glaze to determine a resulting chemical composition from a subset of a recipe ingredient store; automatically reverse calculating a glaze recipe describing a recipe ingredient set to produce the ceramic glaze having a goal chemical composition; calculating an error value for the resulting chemical composition in comparison to the goal chemical composition; minimizing the error value by adjusting the glaze recipe; and directing a glaze mixing machine to mix the recipe ingredient set according to the glaze recipe to produce the ceramic glaze.
20 . The method of claim 19 , further comprising:
scanning a glaze sample to determine the goal chemical composition for the ceramic glaze.Cited by (0)
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