Short answer

Integrate advanced modelling and simulation into the design process to optimize additive manufacturing parameters for weight reduction, material efficiency, and structural integrity in critical applications.

Field: Modelling
Source: Авіаційно-космічна техніка та технологія (2026)
Method: Finite Element Method (FEM), thermomechanical and porosity modelling, multi-criteria optimization, experimental investigation.
Evidence: Strong effect

Developing integrated analytical models for additive manufacturing processes allows for the optimization of printing parameters and material composition, leading to significant reductions in weight and material consumption for aviation structural elements. This modelling research insight is drawn from a 2026 study published in Авіаційно-космічна техніка та технологія. Using Finite element method (fem), thermomechanical and porosity modelling, multi-criteria optimization, experimental investigation., researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate advanced modelling and simulation into the design process to optimize additive manufacturing parameters for weight reduction, material efficiency, and structural integrity in critical applications.

Study

ModellingNew This WeekStrong effect

Integrated modelling of additive manufacturing reduces aviation part weight by 25%

Авіаційно-космічна техніка та технологія · 2026

Key Findings

01Mathematical models were developed to predict thermal deformation, structural heterogeneity, and strength characteristics.
02Optimization of printing parameters was found to reduce material consumption by up to 30%, decrease product weight by 10–25%, reduce production time by a factor of 2–3, and lower costs by up to 40%.
03Tensile strength of up to 1260 MPa was achieved for SLM-manufactured titanium components.
04The integrated modeling approach enabled quantitative prediction of porosity levels and residual stress distribution, improving dimensional accuracy and structural reliability.

Application

Design takeaway

How to apply

Use CAD software with simulation capabilities (e.g., FEA) to model the stresses and deformations of a design under load. Experiment with different printing parameters in simulation to observe their effect on potential defects like porosity.

Project actions

01When designing a 3D printed part, consider using simulation software to test its strength and identify areas that might fail.
02Explore how changing printing settings (like layer height or infill density) might affect the final part's weight and strength using simulation or by testing prototypes.

Method & Evidence

AimTo develop and validate an integrated analytical approach for optimizing additive manufacturing processes in the aerospace industry, focusing on structural elements.

MethodFinite Element Method (FEM), thermomechanical and porosity modelling, multi-criteria optimization, experimental investigation.

ProcedureThe study involved analyzing current additive technologies, developing mathematical models for thermomechanical processes and porosity, optimizing printing parameters and material composition, and experimentally evaluating the mechanical properties of manufactured parts. A comparative evaluation with traditional methods was also conducted.

ContextDesign and manufacturing of structural elements in the aviation industry.

Variables

IVAdditive manufacturing process parameters (e.g., printing speed, temperature, material composition), integrated analytical models.

DVProduct weight, material consumption, production time, cost, tensile strength, porosity levels, residual stress distribution, dimensional accuracy, structural reliability.

CVMaterial type (e.g., titanium alloys, polymers), specific additive manufacturing technology (e.g., SLM), design of the structural element, load conditions.

Strengths & Limitations

Strengths

+Development of a comprehensive integrated framework for modelling and optimization.
+Quantitative prediction of key performance indicators and defect levels.
+Experimental validation of modelling results.

Limitations

Simulations are only as good as the data and assumptions put into them. Real-world printing can introduce variations not captured by the model. Testing a limited range of parameters might miss optimal solutions.

Reliability & validity

The study's reliability is supported by the use of established methods like FEM and experimental investigation. Validity is enhanced by the comparative analysis against traditional methods and the achievement of high tensile strength values, suggesting the models accurately predict performance.

Think critically

To what extent can the predictive accuracy of these complex models be relied upon for safety-critical components without extensive physical validation?

Design Principles

"Predictive modelling and multi-criteria optimization are essential for maximizing the benefits of advanced manufacturing technologies."

This research highlights the power of advanced modelling techniques in addressing complex design challenges. For design, understanding how to use simulation and analytical approaches can lead to more efficient, lighter, and stronger products, directly impacting material selection and manufacturing process choices.

What This Means for Your Design

Using computer simulations to test and improve 3D printing designs before making them can make aircraft parts much lighter and cheaper.

How to use in your project

1.Reference this study when discussing the use of CAD/CAM software for design optimization, particularly if you are using simulation tools to predict performance or material usage.
2.Use the findings on weight reduction and cost savings as a benchmark for evaluating the success of your own design iterations.

Add to My Project

Quick Cite

Paragraph starter

The application of integrated modelling and optimization in additive manufacturing, as demonstrated in aviation (Marynoshenko & Chornyi, 2026), offers significant potential for design improvements. By developing predictive models for thermomechanical processes and porosity, designers can optimize printing parameters to achieve substantial weight reductions (10-25%) and material savings (up to 30%), directly enhancing product performance and economic viability.

Source

Авіаційно-космічна техніка та технологія

Additive technologies: research, application in the design and manufacturing of aviation industry structural elements

journal · 2026

View source

Questions About This Research

What does the research say about integrated modelling of additive manufacturing reduces aviation part weight by 25%?: Integrate advanced modelling and simulation into the design process to optimize additive manufacturing parameters for weight reduction, material efficiency, and structural integrity in critical applications. Evidence: Авіаційно-космічна техніка та технологія (2026).
Why does "Integrated modelling of additive manufacturing reduces aviation part weight by 25%" matter for design?: This research highlights the power of advanced modelling techniques in addressing complex design challenges. For IB DT, understanding how to use simulation and analytical approaches can lead to more efficient, lighter, and stronger products, directly impacting material selection and manufacturing process choices.
How can designers apply this research?: Integrate advanced modelling and simulation into the design process to optimize additive manufacturing parameters for weight reduction, material efficiency, and structural integrity in critical applications.
What were the main findings?: Mathematical models were developed to predict thermal deformation, structural heterogeneity, and strength characteristics.. Optimization of printing parameters was found to reduce material consumption by up to 30%, decrease product weight by 10–25%, reduce production time by a factor of 2–3, and lower costs by up to 40%.. Tensile strength of up to 1260 MPa was achieved for SLM-manufactured titanium components.. The integrated modeling approach enabled quantitative prediction of porosity levels and residual stress distribution, improving dimensional accuracy and structural reliability.
What research method was used?: Finite Element Method (FEM), thermomechanical and porosity modelling, multi-criteria optimization, experimental investigation..
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2026 journal from Авіаційно-космічна техніка та технологія.
What should I do differently in my next project?: Use CAD software with simulation capabilities (e.g., FEA) to model the stresses and deformations of a design under load. Experiment with different printing parameters in simulation to observe their effect on potential defects like porosity.
What are the limitations?: The models and optimization may be specific to the materials and additive manufacturing processes investigated (e.g., SLM for titanium). Generalizability to all additive technologies and materials may vary.