fastga.models.weight.mass_breakdown.a_airframe.a7_paint_weight module

Python module for paint weight calculation, part of the airframe mass computation.

class fastga.models.weight.mass_breakdown.a_airframe.a7_paint_weight.ComputeNoPaintWeight(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Paint weight estimation.

Component that returns 0 kg of paint as for most aircraft this weight is negligible but kept as default submodels so that it doesn’t change previous computation.

Store some bound methods so we can detect runtime overrides.

setup()[source]

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)[source]

Compute outputs given inputs. The model is assumed to be in an unscaled state.

Parameters

  • inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

  • outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].

  • discrete_inputs (dict or None) – If not None, dict containing discrete input values.

  • discrete_outputs (dict or None) – If not None, dict containing discrete output values.

class fastga.models.weight.mass_breakdown.a_airframe.a7_paint_weight.ComputePaintWeight(**kwargs)[source]

Bases: openmdao.core.explicitcomponent.ExplicitComponent

Paint weight estimation.

Component that returns the paint weight by using a value of surface density for the paint.

Store some bound methods so we can detect runtime overrides.

setup()[source]

Declare inputs and outputs.

Available attributes:

name pathname comm options

compute(inputs, outputs, discrete_inputs=None, discrete_outputs=None)[source]

Compute outputs given inputs. The model is assumed to be in an unscaled state.

Parameters

  • inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

  • outputs (Vector) – Unscaled, dimensional output variables read via outputs[key].

  • discrete_inputs (dict or None) – If not None, dict containing discrete input values.

  • discrete_outputs (dict or None) – If not None, dict containing discrete output values.

compute_partials(inputs, partials, discrete_inputs=None)[source]

Compute sub-jacobian parts. The model is assumed to be in an unscaled state.

Parameters

  • inputs (Vector) – Unscaled, dimensional input variables read via inputs[key].

  • partials (Jacobian) – Sub-jac components written to partials[output_name, input_name]..

  • discrete_inputs (dict or None) – If not None, dict containing discrete input values.