I know the Designation!
Last updated
Last updated
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When you already know the material designation, Total Materia Predictor offers a quick and straightforward way to select it from the Horizon materials reference library. Here’s a step-by-step guide on how to select your material.
If you’re working with metals, you can either choose a material designation from the Horizon materials reference library, which contains a vast library of materials, or import an internal chemical composition to continue with property predictions.
Follow these steps when choosing a material from the Horizon library:
Type in your desired material designation
Start by entering the designation of the material you want to work with. The system will search through the database and suggest relevant materials.
Choose your desired standard
If your material is linked to multiple standards (e.g., DIN, ASTM, etc.), you can select the appropriate standard using a convenient drop-down menu. This helps you filter the options and ensure that you're working with the correct version of the material standard for your application.
Edit the chemical composition (optional)
Once you have selected your material, you also have the option to edit its chemical composition by clicking on the designated button below the material’s details. This is particularly useful when you need to modify or adjust specific elements in the composition for custom analysis or to match proprietary variations of the material.
When working with polymers, the process of identification differs from metals. Instead of being identified by chemical composition, polymers are classified based on broader attributes, including their material group, density, filler content, and other special characteristics.
Key Details:
Classification: Polymers are sorted by attributes like material group (e.g., thermoplastics, elastomers), density, and filler content.
Search capabilities: You can search for polymers using the same methods applied for metals (e.g., by material designation or standard). However, specific details like filler content and special characteristics are not individually defined in the search.
Here is a step-by-step guide for predicting the tensile strength of 2075 AA alloy at T6 heat treatment from 0°C to 250°C using Total Materia Predictor:
Step 1 – Material Composition
Enter material: In the search bar, type 2075 to find your desired alloy.
Select material: From the results, select 2075 AA (Aluminum Alloy) from the list.
Proceed to the next step: Click the Next Step button at the bottom of the page to move forward.
Step 2 – Select Model
Select the desired property: From the property list, select Tensile Strength.
Select model: Choose Model 1147, which allows you to predict tensile strength at different temperatures.
Proceed to the next step: Click Next Step to configure model parameters.
Step 3: Input Model Parameters
Product: Select Bars from the drop-down menu.
Dimension Type: Choose Diameter.
Dimension: Enter 20 mm for the diameter.
Heat Treatment: Choose Temper (T6) from the list.
Temperature Range: Set the temperature range from 0°C to 250°C.
Predict: Click the "Predict" button to generate results based on your inputs.
Step 1 – Material Composition
Type in the material: Begin by typing "17-4 PH" in the material search bar.
Select the material: From the list, choose 17-4PH SAE to proceed to the next step.
Step 2 – Select Model
Select the property: Under the property tab, choose stress.
Select the model ID: For this example, select model ID 1236, which is suitable for predicting stress-strain curves.
Step 3: Model Parameters
Input Parameters:
Product: Select Bars.
Dimension type: Choose Thickness.
Dimension (mm): Enter 120 mm.
Test Temperature (°C): Set the temperature to 200°C.
Modulus of Elasticity (GPa) at RT: Enter 200 or click Estimate Using AI Model if you want to predict this value using the AI model.
Ultimate Tensile Strength (MPa) at RT: Set this to 1300, or use the AI model to estimate it.
Yield Strength (MPa) at RT: Enter 1200, or use the AI model for a predicted value.
Maximum Strain (mm/mm): Set to 0.2.
Prediction Type: Choose either single point or multipoint based on your needs.
Step 4: Prediction Results
Click on the "Predict" button, and the system will generate the stress-strain curve based on the provided input parameters.
Note: If you're missing specific properties required for the stress-strain curve, you can either input known values or use the AI models to predict the required properties for you.
