DI Predictor

Predict ideal hardenability diameter and transformation response for steel alloys.

Predict Steel Hardenability Using DANTE Material Models

DI Predictor calculates the ideal diameter (DI) of steel alloys using the transformation kinetics and material models embedded within the DANTE material database. By evaluating alloy chemistry, carbon distribution, and transformation behavior, DI Predictor provides fast, reliable insight into the hardenability performance of a given steel grade.

High-Accuracy Hardenability Prediction for Steel Heat Treatment

DI Predictor is a specialized tool for estimating the ideal diameter of steel alloys—a critical metric for determining hardenability and quench response. Built on the DANTE material database and its transformation kinetics models, DI Predictor evaluates diffusive and martensitic phase formation during cooling to provide a robust prediction of steel hardenability under idealized conditions.

This tool benefits metallurgists, process engineers, and researchers seeking to understand alloy behavior, compare suppliers, or validate material selection for heat-treated components.

Material Definition

Uses DANTE’s transformation kinetics and constitutive models
Accounts for:
- Carbon in solution
- Carbon in carbides
- Alloy variation within specification ranges
Supports evaluation of different heats, chemistries, or vendor variations
Ensures DI prediction reflects real-world material variability

Controls Definition

Activate or deactivate:
- DANTE Tempering Model
- DANTE Carbon Separation Model (carbon rejection during ferrite formation)
Set maximum allowable changes for:
- Phase fractions
- Temperature
- Carbon levels
Select preferred hardness units (HRC or HV)Provides control over solver behavior for improved accuracy and stability

Outputs

Ideal Diameter (DI) in millimeters
Hardness profiles as a function of depth
Phase fraction profiles, including ferrite, pearlite, bainite, and martensite
Visualization of transformation response for more detailed interpretation
Insights that support comparison of alloy grades or heat-treatment strategies

Applications

Screening steel alloys for hardenability during material selection
Evaluating supplier-to-supplier chemistry variations
Supporting quench design and heat-treatment optimization
Providing DI values for downstream modeling (e.g., Jominy, CCT, or full FEA simulation)
Enhancing predictive accuracy in full DANTE FEA workflows

Student/Trial License

Get hands-on experience with DANTE. Our student and trial license offers full access to heat treatment modeling tools so you can learn, experiment, and explore real-world simulations.

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