Casting - Sand Enhancements
aPriori Professional 2023 R1 SP1 includes these enhancements to the Casting-Sand manufacturing process model.
Sustainability Insights for Sand Casting
Calculate the carbon impact of manufacturing components by using Sand Casting.
aPriori Sustainability Insights calculates Material and Process Carbon using Ecoinvent data for Material Carbon Factor and Energy Carbon Factor.
In aPriori 2023 R1 SP1, aPriori extends Sustainability Insights to the Casting-Sand process group. aPriori Sustainability Insights estimates carbon emissions (C02e) produced during the manufacture of a part via a sand casting routing.
Carbon estimates are provided for the following sand casting processes:
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Cleaning
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CO2 Cured
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Cooling
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Core Refractory Coat
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Degating
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Finishing
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Horizontal Automatic
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Hot Box
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Isocure Gas
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Manual Coremaking
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Manual Floor Moldmaking
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Manual Pit Moldmaking
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Manual Std Moldmaking
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Melting
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Mold Refractory Coat
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No Bake
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Oil Core
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Pour
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Refractory Coat Air Dry
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Refractory Coat Oven Dry
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Shakeout
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Shell
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Stock Core
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Vertical Automatic
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Visual Inspection
Limitations
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aPriori Sustainability estimates do not currently include the carbon impact of producing tooling (molds and cores) for sand castings, die castings, or plastic injection molded parts.
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You must have a license for the sustainability module to access this functionality.
Faster Computation of Part Thickness (GCD Extraction)
aPriori 2023 R1 SP1 includes faster GCD extraction algorithms for measuring the thickness of cast parts when running aPriori on machines with multiple cores.
In the Casting - Sand process group, aPriori measures and stores part thickness values at many points across a part. This thickness determination can be time-consuming for complex parts and comprise a significant percentage of the total GCD extraction time.
In aPriori 2023 R1 SP1, aPriori improved the speed of these thickness determination algorithms. GCD extraction will be faster for many parts analyzed in these process groups, without sacrificing the accuracy of these thickness measurements. The amount of time by which the thickness determination is reduced depends on the complexity of the part geometry and also on the configuration of the computer on which aPriori is running. For computers with multiple cores (including for aPriori’s cloud solutions), thickness determination may be three times faster or more. For complex parts, this can result in savings of multiple minutes during the initial analysis of a part, and also whenever GCDs are re-extracted. For single-core machines, little decrease in thickness determination time was expected or observed.