Short answer

Integrate digital, model-based definitions of materials into your design workflow to unlock greater design flexibility, performance, and innovation.

Field: Modelling
Source: Integrating materials and manufacturing innovation (2017)
Method: Comparative analysis and conceptual framework development
Evidence: Strong effect

Shifting from traditional, requirement-based material specifications to model-based material definitions (MBMDs) is crucial for supporting modern, multi-disciplinary design optimization and enabling innovative material applications. This modelling research insight is drawn from a 2017 study published in Integrating materials and manufacturing innovation. Using Comparative analysis and conceptual framework development, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate digital, model-based definitions of materials into your design workflow to unlock greater design flexibility, performance, and innovation.

Study

ModellingHigh ImpactStrong effect

Digital Material Definitions Unlock Advanced Design Capabilities

Integrating materials and manufacturing innovation · 2017

Key Findings

01Traditional material specifications are a bottleneck for modern, model-based engineering.
02MBMDs enable more precise material property definitions, including location-specific and hybrid material characteristics.
03Adopting MBMDs is essential for bridging the gap between materials engineering and design in complex systems.

Application

Design takeaway

Integrate digital, model-based definitions of materials into your design workflow to unlock greater design flexibility, performance, and innovation.

How to apply

Explore and advocate for the development and adoption of digital tools that support model-based material definitions within your organization's design and engineering processes.

Project actions

01When defining materials for your design project, consider how you can represent their properties digitally and dynamically.
02Research existing or emerging digital material databases and their integration capabilities with CAD software.

Method & Evidence

AimHow can model-based definitions of engineering materials enhance the design and manufacturing of complex systems, particularly in sectors like aerospace?

MethodComparative analysis and conceptual framework development

ProcedureThe research contrasts traditional requirement-based material definitions with the proposed model-based material definitions (MBMDs), analyzing their respective strengths and limitations in the context of modern engineering design challenges.

ContextAerospace engineering and advanced manufacturing

Variables

IVType of material definition (traditional vs. model-based)

DVDesign optimization potential, material utilization, feasibility of advanced material integration

CVComponent complexity, performance requirements, manufacturing processes

Strengths & Limitations

Strengths

+Identifies a critical need for evolving material definition practices.
+Provides a conceptual framework for a future state of material definition in design.

Limitations

The transition to MBMDs requires significant investment in software, training, and standardization across the industry.

Reliability & validity

The validity of the conceptual argument is strong, but empirical reliability would depend on the successful implementation and testing of MBMD systems.

Think critically

What are the potential barriers to widespread adoption of model-based material definitions, and how might these be overcome?

Design Principles

"Material definitions should be dynamic and integrated within the digital design model to enable precise performance optimization."

Traditional material specifications, often based on broad ranges of chemistry and static properties, can lead to underutilization of material capabilities and hinder the adoption of advanced materials like hybrids or additively manufactured components. MBMDs, by contrast, integrate material properties directly into digital design models, allowing for more precise and performance-driven design decisions.

What This Means for Your Design

Think of it like this: instead of just saying 'use steel,' you can now tell your computer exactly what kind of steel, where it's strongest, and how it behaves in specific spots, all within your 3D design model. This helps make designs much better and allows for new types of materials to be used.

How to use in your project

1.Reference this paper when discussing the limitations of traditional material specifications and the potential benefits of digital or model-based material definitions in your design project.

Add to My Project

Quick Cite

Paragraph starter

The transition from traditional, requirement-based material specifications to model-based material definitions (MBMDs) is a critical development in engineering design. As highlighted by Furrer et al. (2017), traditional methods, relying on broad ranges of chemistry and static properties, are increasingly inadequate for supporting modern multi-disciplinary design optimization and the integration of advanced materials. MBMDs offer a pathway to more precise material characterization, enabling location-specific properties and facilitating the use of innovative materials like those produced through additive manufacturing, ultimately leading to enhanced system performance and design efficiency.

Source

Integrating materials and manufacturing innovation

Making the Case for a Model-Based Definition of Engineering Materials

journal · 2017

View source

Questions About This Research

What does the research say about digital material definitions unlock advanced design capabilities?: Integrate digital, model-based definitions of materials into your design workflow to unlock greater design flexibility, performance, and innovation. Evidence: Integrating materials and manufacturing innovation (2017).
Why does "Digital Material Definitions Unlock Advanced Design Capabilities" matter for design?: Traditional material specifications, often based on broad ranges of chemistry and static properties, can lead to underutilization of material capabilities and hinder the adoption of advanced materials like hybrids or additively manufactured components. MBMDs, by contrast, integrate material properties directly into digital design models, allowing for more precise and performance-driven design decisions.
How can designers apply this research?: Integrate digital, model-based definitions of materials into your design workflow to unlock greater design flexibility, performance, and innovation.
What were the main findings?: Traditional material specifications are a bottleneck for modern, model-based engineering.. MBMDs enable more precise material property definitions, including location-specific and hybrid material characteristics.. Adopting MBMDs is essential for bridging the gap between materials engineering and design in complex systems.
What research method was used?: Comparative analysis and conceptual framework development.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2017 journal from Integrating materials and manufacturing innovation.
What should I do differently in my next project?: Explore and advocate for the development and adoption of digital tools that support model-based material definitions within your organization's design and engineering processes.
What are the limitations?: The research is conceptual and does not present a fully developed MBMD system or empirical validation of its benefits across diverse applications.