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Thermo-Calc 2024b Available Now

Introducing Thermo-Calc 2024b, released in June 2024. This release introduces printability maps in the Additive Manufacturing Module, significant speed improvements in the Property Model Calculator, several new features and products for titanium users, including a Titanium Model Library and new titanium and Ti-Al-based alloys database, and more. The release also includes nine new databases, including our first ever databases for the refractory alloys molybdenum and niobium.

Update Released

An update to Thermo-Calc 2024b was released on June 28, 2024. If you installed Thermo-Calc 2024b before June 28, you are encouraged to update your software as this update includes critical bug fixes.

Webinar on Thermo-Calc 2024b Release


Watch our on-demand release webinar to learn about the exciting new features and new databases included in Thermo-Calc 2024b. In this webinar, four of the developers who worked on the release will speak directly about these exciting new developments.

Additive Manufacturing (AM) Module

The Additive Manufacturing Module receives several updates in this release, the most significant being the addition of Printability Maps, also known as process maps.

Printability Maps

Printability maps allow users to plot the likelihood of three possible defects that occur during additive manufacturing – keyholing, lack of fusion, and balling.

These three defects occur based on the speed and power used during the AM process, so printability maps allow you to reduce the risks of these defects by showing the speed and power settings that are optimal (the white area in the image below), allowing you to calibrate your system to avoid these issues.

A printability map calculated in the AM Module for the material 316L showing the power and scan speeds that are likely to result in keyholing (blue area) and lack of diffusion (green area).
A printability map calculated in the AM Module for the material 316L showing the power and scan speeds that are likely to result in keyholing (blue area) and lack of fusion (green area). The white area shows the power and scan speeds that are optimal to reduce the risk of these defects.

You can learn more about this new feature in the release notes or by joining our release webinar

Two New Calculation Types

The Additive Manufacturing Module also adds two new calculation types for Steady-state simulations – Batch and Grid. And three new plot types to visualize these new calculations, including the printability maps discussed above.

The new calculation types allow users to compare how a range of power and scan speeds affect the melt pool dimensions.

A screenshot showing the new Batch Calculation type in the Additive Manufacturing Module, which allows users to input power and scan speed data from a file.
A screenshot showing the new Batch Calculation type in the Additive Manufacturing Module, which allows users to input power and scan speed data from a file. Users can include experimental melt pool dimensions and compare them to the calculated results using the new Parity Plot, as shown.

The Batch calculation type allows users to input power and scan speed data from a file, such as a spreadsheet. Users can include experimental melt pool dimensions, if they have them, and compare them to the calculated results using a new plot type called a Parity Plot. This calculation can also be visualized using another new plot type called Melt Pool vs Energy Density, which shows the melt pool dimensions as a function of energy density, or with the new printability maps we discussed earlier.

A screenshot of the new Grid Calculation type in the AM Module, which allows users to evaluate power and scan speed for a fixed range and number of steps, as shown in the red box.
A screenshot of the new Grid Calculation type in the AM Module, which allows users to evaluate power and scan speed for a fixed range and number of steps, as shown in the red box. Results are visualized using the new Melt Pool vs Energy Density plot type.

The Grid calculation type evaluates power and scan speed for a fixed range and number of steps. Results are visualized using the new Printability Map or the Melt Pool vs Energy density plot type.  

Both new calculation types can also be visualized using 3D plots and plot over line, which were already in the software. A dropdown menu has been added so that users can view these plots for each of the data sets. 

Keyhole Model Adds Fluid Flow

The keyhole model in the Additive Manufacturing Module has been expanded to include fluid flow, which provides a better prediction of the melt pool size.

The keyhole model was originally introduced last December in Thermo-Calc 2024a to improve on predicting the depth of the melt pool. Keyholing can occur with low scanning speed and high power. By adding fluid flow to the model, the program now offers more accurate predictions of the entire melt pool size, which is especially important at higher energy densities when Marangoni forces are strong.

Results of a steady state calculation for the material SS316L in Thermo-Calc 2024a without fluid flow. Results of a steady state calculation for the material SS316L, comparing in Thermo-Calc 2024b with fluid flow.
Results of a steady state calculation for the material SS316L, comparing Thermo-Calc 2024a without fluid flow (left image) to Thermo-Calc 2024b with fluid flow (right image). A keyhole can be seen formed just below the location of the heat source in both images. However, the addition of fluid flow to the keyhole model makes the prediction of the melt pool size, which is represented by the inner, thin green line, more accurate in 2024b.

Five new examples are available demonstrating the various new features in the AM Module:

  • AM_07_Batch_IN718.tcu
  • AM_08a_Printability_Map_Ti64.tcu
  • AM_08b_Batch_Ti64.tcu
  • AM_09a_Printability_Map_316L.tcu
  • AM_09b_Batch_316L.tcu

New Features and Products for Titanium Users

Thermo-Calc 2024b includes several new products for Titanium users. In addition to those listed below, a new Ti/TiAl-based Alloys database is available, TCTI6.

Brand-new Titanium Model Library

A Titanium Model Library is introduced. This is a package of pre-built Property Models that allow for easy set up of some of the most common calculations used by those working with Titanium-based alloys.

A screenshot of the new Titanium Model Library showing the Ms temperature and T-Zero temperature for alpha martensite as a function of the mole fraction of Zr with experimental data.
A screenshot of the new Titanium Model Library showing the Ms temperature and T-Zero temperature for alpha martensite as a function of the mole fraction of Zr with experimental data from [1952Du, 1965McM, and 1970Hua].

Two Property Models are included in the new Titanium Model Library. Alloy Strength – Ti, which calculates the hardness for Ti-base alloys. And Martensite Temperatures – Ti, which calculates the martensite start temperature (Ms) and T-Zero temperatures for Ti-base alloys.

Two examples are included in the release demonstrating these two models:

  • PM_Ti_01_Martensite_Temperatures_Ti-Zr.tcu
  • PM_Ti_02_Alloy_Strength_Ti-O.tcu

Model for Elastic Modulus and Plot Variables Added

Elastic properties are introduced in Thermo-Calc 2024b. As of this release, three elastic moduli are available for plotting and analysis: bulk modulus, shear modulus, and Young’s modulus. You can also calculate and plot the independent elastic constants of cubic and hexagonal phases (C11, C12, C13, C33, C44). The moduli and constants can be plotted per phase or for all phases.

Effect of oxygen on Young’s modulus in HCP_A3 titanium compared to experimental data [1957Gra; 1966Fed; 1971Hsu].
Effect of oxygen on Young’s modulus in HCP_A3 titanium compared to experimental data [1957Gra; 1966Fed; 1971Hsu].

In this release, the elastic properties are only available in the new version of the Titanium and TiAl-based alloys database, TCTI6. 

Elastic properties will be added to additional databases in upcoming releases.

One new example is included demonstrating the new elastic properties:

  • T_19_Elastic_Properties_YoungsModulus_Ti-O.tcu

New Setting for Parallelization of Property Calculations

The Property Model Calculator receives a significant speed improvement in the 2024b release with the introduction of Parallel Calculations. The program now divides calculations into smaller jobs and runs them all at the same time, significantly decreasing the time it takes the program to complete the calculations.

This feature is turned on by default, but users can turn it off for each calculation or reduce the number of parallel calculations to suit their machine. Users can also change the global default setting from Tools > Options on the General tab. The setting is called Parallel calculation for Property Model Calculator.

Martensitic Steel Strength Model Improved

The Martensitic Steel Strength Model in the Steel Model Library has several improvements in the 2024b release, the primary being the addition of a new Tempering time (s) field, which predicts the time dependent effect on tempering.

This new feature is primarily based on the physical models listed below, but it was improved upon using a machine learning model that was trained on a large dataset covering mainly carbon and low-alloy steels. You can read more about this in our online help system and release notes.

The physical models it is based on:

  • Calculating the fraction of martensite using the Ms model
  • Evaluating the intrinsic strength and solid solution strengthening contribution before and after tempering
  • Evaluating stable precipitates before and after tempering
  • The martensite strength contribution as function of alloy composition before and after tempering

One example has been updated to demonstrate this new improvement:

  • PM_Fe_10: PM_Fe_10_Martensitic_Steel_Strength.tcu

A screenshot of Thermo-Calc showing the new Tempering time (s) field in the Martensitic Steel Strength Model in the Steel Model Library.
A screenshot of Thermo-Calc showing the new Tempering time (s) field in the Martensitic Steel Strength Model in the Steel Model Library.

Databases and Properties

Thermo-Calc 2024b includes nine new databases, including the introduction of our first ever databases for the refractory alloys molybdenum and niobium. 

As of this release, elastic properties are available in Thermo-Calc, starting with the most recent version of the TCS Ti/TiAl-based Alloys Database (TCTI6). These elastic properties will be added to additional databases over time.

New Databases

TCMO1: Molybdenum-based Alloys Database

Molybdenum-based Alloys Database (TCMO1) is a completely new thermodynamic and properties database for molybdenum-based refractory alloys that function at higher temperatures than Ni-based superalloys.

The database can be used for a variety of applications, especially aerospace components, electrical contacts, industrial machinery, and high-temperature furnace parts due to their excellent mechanical, thermal, and corrosion-resistant properties.

Molybdenum is also used in the production of high-strength steel alloys, which are crucial in the construction and automotive industries for their durability and resistance to corrosion and heat.

The database includes:

  • 12 elements: Al, B, C, Cr, Fe, Hf, Mn, Mo, Re, Si, Ti, Zr
  • 167 phases
  • 66 binary systems
  • 46 ternary systems
  • 3 quaternary systems
  • Thermophysical properties data: molar volume, surface tension of liquid, viscosity of liquid, electrical resistivity, thermal conductivity

MOBMO1: Molybdenum Alloys Mobility Database

A companion mobilities database, MOBMO1, is also released to correspond to TCMO1. 

The database includes:

  • 12 elements: Al, B, C, Cr, Fe, Hf, Mn, Mo, Re, Si, Ti, Zr
  • 5 solution phases and 5 compound phases: LIQUID, FCC_A1, BCC_A2, BCC_B2, HCP_A3, MO5SI3_D8M, MO3SI_A15, MOSI2_C11B, C15_LAVES, and M6C
  • Assessed data for BCC_A2 in 17 binary and 6 ternary systems
  • Assessed data for HCP_A3 in 3 binary systems
  • Parameters for self- and impurity-diffusivity of all the elements in the liquid phase are estimated using the Modified Sutherland equation
  • Mobility data for MO5SI3_D8M, MO3SI_A15, MOSI2_C11B, C15_LAVES, and M6C phases assessed or estimated

TCNB1: Niobium-based Alloys Database

The Niobium-based Alloys Database (TCNB1) is a completely new thermodynamic and properties database for niobium-based refractory alloys that exhibit high melting temperatures and low density compared to Ni-superalloys.

The database can be used for a variety of applications, especially in aerospace and aviation industries for manufacturing superalloys that are heat-resistant and can withstand high-stress environments, such as jet engines and gas turbines. 

Niobium alloys are also used in medical implants due to their biocompatibility and corrosion resistance. Additionally, they are used in the production of superconductors for applications like MRI machines and particle accelerators. In the automotive sector, niobium alloys are used for lightweighting and improving the strength of structural components.

The database includes: 

  • 12 elements: Al, C, Cr, Hf, Mo, Nb, Si, Ta, Ti, V, W, Zr
  • 101 phases
  • 66 binary systems
  • 76 ternary systems
  • Thermophysical properties data: molar volume, surface tension of liquid, viscosity of liquid, electrical resistivity, thermal conductivity

MOBNB1: Niobium Alloys Mobility Database

A companion mobilities database, MOBNB1, is also released to correspond to TCNB1. 

The database includes:

  • 12 elements: Al, C, Cr, Hf, Mo, Nb, Si, Ta, Ti, V, W, Zr
  • 4 solution phases and 2 compound phases included: BCC_A2, HCP_A3, FCC_A1, LIQUID, CRSI2_C40, and NB5SI3_D8L
  • Assessed data for BCC_A2 in 28 binary, six (6) ternary and four (4) quaternary systems
  • Assessed data for FCC_A1 in two binary systems
  • Assessed data for HCP_A3 in two binary systems
  • Parameters for self- and impurity-diffusivity of all the elements in the liquid phase are estimated using the Modified Sutherland equation
  • Mobility data for CRSI2_C40 and NB5SI3_D8L phases assessed or estimated

TCTI6: Titanium-based Alloys Database

Users who purchase or upgrade to the new TCTI6 database receive the new Titanium Model Library for free.

  • New Elastic Properties
    • Elastic moduli (bulk modulus, shear modulus, and Young’s modulus) for BCC, HCP, and FCC phases
      • Elastic constants (C11, C12, C13, C33, and C44) for BCC, HCP, and FCC phases
      • Updated description of Ti-Ni system for shape memory alloys
      • 3 binary and 8 ternary systems updated
      • Full gas descriptions updated
      • Improved surface tension of Fe-Ni

MOBTI5: Titanium Alloys Mobility Database

  • New compound phase ALTI3_D019 added
    • Corresponding mobility data for H, O, Al, Ni, Nb, Ti elements assessed
      • Mobility data for other elements estimated
      • Four Phases Updated
        • BCC_A2, HCP_A3, LIQUID and ALTI_L10
        • BCC_A2 updates 16 binary, 16 ternary, and 5 quaternary systems
        • HCP_A3 phase adds the binary system Cu-Ti

TCUHTM2: Ultra-high Temperature Materials Database

  • 1 new element O for an 8 element framework
  • 12 new oxide phases
  • 7 new binary systems for a total of 28
  • 15 new ternary systems for a total of 41
  • Molar volume properties data added

TCSLD5: Solder Alloy Solutions Database

  • Thermophysical properties data added for electrical resistivity and thermal conductivity
  • Now compatible with the Additive Manufacturing Module
  • 3 new elements: Hf, Ti, and Zr
  • 19 new binary systems
  • 5 new ternary systems
  • 56 new phases for a total of 328

MOBSLD2: Solder Alloy Solutions Mobility Database

  • 3 new elements: Hf, Ti, and Zr
  • 6 updated compounds
  • Updated Systems FCC_A1: 14 binary, 6 ternary, 2 quaternary
  • Updated Systems HCP_A3: 5 binary, 1 ternary
  • Added self- and impurity diffusivity data for Hf-X, Ti-X, and Zr-X binary systems

Updated Databases

Read the Release Notes for more details.

  • TCAL9.1: Aluminum-based Alloys Database

Updated Demo Databases

Read the Release Notes for more details.

  • SLDEMO: Solders DEMO Database

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