Additive Manufacturing Process Selection for Aerospace Components Guided by Multi-Attribute Analysis
Selecting the optimal metal additive manufacturing process for aerospace components requires a comprehensive evaluation of geometric constraints, material properties, cost, post-processing needs, and supply chain maturity.
Journal of Materials Engineering and Performance · 2022
Key Findings
- 01Powder Bed Fusion, Directed Energy Deposition, and solid-state processes are common metal AM methods, each with unique energy sources and feedstock requirements.
- 02Component requirements significantly influence the choice of AM process, necessitating consideration of geometric variations, material properties, and performance evaluations.
- 03A multi-attribute analysis framework, encompassing geometry, metallurgy, cost, post-processing, and supply chain maturity, is crucial for robust process selection.
Application
Design takeaway
Implement a structured, multi-attribute evaluation framework when selecting additive manufacturing processes for critical components like those in aerospace.
How to apply
When designing a new aerospace component using additive manufacturing, create a checklist or scoring system that evaluates potential AM processes based on geometric complexity, required material properties, cost targets, necessary post-processing steps, and the maturity of the supply chain for that process.
Project actions
- 01When selecting a manufacturing process for your design, clearly define the criteria you will use for comparison.
- 02Gather data from multiple sources to support your process selection rationale.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Provides a structured framework for a complex decision.
- +Integrates multiple critical factors beyond just technical capability.
Limitations
The availability of detailed cost and supply chain maturity data for all processes might be limited.
Reliability & validity
The reliability of the findings depends on the quality and comprehensiveness of the compiled data. Validity is enhanced by drawing from multiple sources (literature, internal studies, industry data).
Think critically
How might the relative importance of these attributes (geometry, metallurgy, cost, etc.) shift depending on the specific type of aerospace component being designed (e.g., a structural part versus a thermal management component)?
Design Principles
"In complex manufacturing scenarios, a systematic, data-driven, multi-attribute decision-making process leads to optimized outcomes."
This structured approach to process selection mitigates risks associated with choosing an unsuitable manufacturing method, leading to more reliable, cost-effective, and performant aerospace components. It enables designers and engineers to make informed decisions early in the design cycle.
What This Means for Your Design
Choosing the right 3D printing method for metal airplane parts is tricky. This research shows you need to look at how complex the part is, what materials it needs, how much it costs, what happens after printing, and if the suppliers are ready.
How to use in your project
- 1.Use the multi-attribute analysis approach as a framework for justifying your chosen manufacturing method in your design project.
Add to My Project
Quick Cite
(2022). Robust Metal Additive Manufacturing Process Selection and Development for Aerospace Components. Journal of Materials Engineering and Performance. https://doi.org/10.1007/s11665-022-06850-0 Retrieved from https://designdex.org/study/794f0d76-0bee-4ef0-b02a-d4b8e1177f50/additive-manufacturing-process-selection-for-aerospace-components-guided-by-multi-attribute-analysis
Paragraph starter
The selection of an appropriate manufacturing process for the [component name] was guided by a multi-attribute analysis, considering factors such as geometric feasibility, required material properties, cost-effectiveness, post-processing requirements, and supply chain readiness, mirroring best practices in aerospace component development.
Source
Journal of Materials Engineering and Performance
Robust Metal Additive Manufacturing Process Selection and Development for Aerospace Components
journal · 2022
View sourceQuestions about this research
- What does the research say about additive manufacturing process selection for aerospace components guided by multi-attribute analysis?
- Implement a structured, multi-attribute evaluation framework when selecting additive manufacturing processes for critical components like those in aerospace. Evidence: Journal of Materials Engineering and Performance (2022).
- Why does "Additive Manufacturing Process Selection for Aerospace Components Guided by Multi-Attribute Analysis" matter for design?
- This structured approach to process selection mitigates risks associated with choosing an unsuitable manufacturing method, leading to more reliable, cost-effective, and performant aerospace components. It enables designers and engineers to make informed decisions early in the design cycle.
- How can designers apply this research?
- Implement a structured, multi-attribute evaluation framework when selecting additive manufacturing processes for critical components like those in aerospace.
- What were the main findings?
- Powder Bed Fusion, Directed Energy Deposition, and solid-state processes are common metal AM methods, each with unique energy sources and feedstock requirements.. Component requirements significantly influence the choice of AM process, necessitating consideration of geometric variations, material properties, and performance evaluations.. A multi-attribute analysis framework, encompassing geometry, metallurgy, cost, post-processing, and supply chain maturity, is crucial for robust process selection.
- What research method was used?
- Literature review and data compilation.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2022 journal from Journal of Materials Engineering and Performance.
- What should I do differently in my next project?
- When designing a new aerospace component using additive manufacturing, create a checklist or scoring system that evaluates potential AM processes based on geometric complexity, required material properties, cost targets, necessary post-processing steps, and the maturity of the supply chain for that process.
- What are the limitations?
- The data compiled may not cover all emerging AM processes or specific niche aerospace applications. The weighting of attributes can be subjective and application-dependent.
- Is there evidence that additive manufacturing affects design outcomes?
- The selection of metal additive manufacturing processes for aerospace components is complex and depends on a detailed analysis of geometric, material, cost, post-processing, and supply chain factors, rather than solely on process type. This structured approach to process selection mitigates risks associated with choosi Source: Journal of Materials Engineering and Performance (2022).
- Where does this aerospace components research apply?
- Aerospace component manufacturing It sits within modelling research on designdex.org.
Related research topics
additive manufacturing design research · evidence on additive manufacturing · does additive manufacturing improve design outcomes · aerospace components studies for designers · additive manufacturing and aerospace components findings · modelling research evidence