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 # mesh:mesh to tetra

 Last update: 31.07.2026 

**Version: 0.0.0**

## Description

Converts 3D meshes of arbitrary 3D element types into a tetrahedral mesh, output at pin (0). Non 3D elements are ignored. Scopings providing the mapping from resulting nodes & elements to their original ID in the input mesh are provided, output pins (1) & (2) respectively.

## Inputs

This table lists the input pins for this operator. Input pins define the data that the operator requires to perform its operation. Some inputs are required, while others are optional and provide additional configuration. Each parameter is detailed in the sections that follow the table.

Pin numberNameStatusExpected type(s)0[mesh](#input_0)Required[`abstract_meshed_region`](../../core-concepts/dpf-types.md#meshed-region)<a id="input_0"></a>

### mesh (Pin 0)

- **Required:** Yes
- **Expected type(s):** [`abstract_meshed_region`](../../core-concepts/dpf-types.md#meshed-region)

Mesh with arbitrary element types.

## Outputs

This table lists the output pins for this operator. Output pins provide the results of the operator's computation and can be connected to inputs of other operators or retrieved for further processing. Each output is detailed in the sections that follow the table.

Pin numberNameExpected type(s)0[mesh](#output_0)[`meshed_region`](../../core-concepts/dpf-types.md#meshed-region)**1**[node\_mapping](#output_1)[`scoping`](../../core-concepts/dpf-types.md#scoping)**2**[element\_mapping](#output_2)[`scoping`](../../core-concepts/dpf-types.md#scoping)<a id="output_0"></a>

### mesh (Pin 0)

- **Expected type(s):** [`meshed_region`](../../core-concepts/dpf-types.md#meshed-region)

Tetrahedralized mesh.

<a id="output_1"></a>

### node\_mapping (Pin 1)

- **Expected type(s):** [`scoping`](../../core-concepts/dpf-types.md#scoping)

Node mapping.

<a id="output_2"></a>

### element\_mapping (Pin 2)

- **Expected type(s):** [`scoping`](../../core-concepts/dpf-types.md#scoping)

Element mapping.

## Configurations

This operator supports [configuration options](../../core-concepts/operator-configurations.md) that modify its behavior.

### [mutex](../../core-concepts/operator-configurations.md#mutex)

- **Expected type(s):** [`bool`](../../core-concepts/dpf-types.md#standard-types)
- **Default value:** false

If this option is set to true, the shared memory is prevented from being simultaneously accessed by multiple threads.

## Scripting

This operator can be accessed through scripting interfaces using these identifiers.

**Category**: mesh

**Plugin**: core

**Scripting name**: mesh\_to\_tetra

**Full name**: mesh.mesh\_to\_tetra

**Internal name**: mesh\_to\_tetra

**License**: None

## Examples

These examples demonstrate how to use this operator in different programming environments. Each example shows how to instantiate the operator, connect the required inputs, and retrieve the output.

C++```cpp
#include "dpf_api.h"

ansys::dpf::Operator op("mesh_to_tetra"); // operator instantiation
op.connect(0, my_mesh);
ansys::dpf::MeshedRegion my_mesh = op.getOutput<ansys::dpf::MeshedRegion>(0);
ansys::dpf::Scoping my_node_mapping = op.getOutput<ansys::dpf::Scoping>(1);
ansys::dpf::Scoping my_element_mapping = op.getOutput<ansys::dpf::Scoping>(2);

```

CPython```python
import ansys.dpf.core as dpf

op = dpf.operators.mesh.mesh_to_tetra() # operator instantiation
op.inputs.mesh.connect(my_mesh)
my_mesh = op.outputs.mesh()
my_node_mapping = op.outputs.node_mapping()
my_element_mapping = op.outputs.element_mapping()

```

IPython```python
import mech_dpf
import Ans.DataProcessing as dpf

op = dpf.operators.mesh.mesh_to_tetra() # operator instantiation
op.inputs.mesh.Connect(my_mesh)
my_mesh = op.outputs.mesh.GetData()
my_node_mapping = op.outputs.node_mapping.GetData()
my_element_mapping = op.outputs.element_mapping.GetData()

```

  
## Changelog

- Version 0.0.0: Initial release.