Short answer

When considering advanced materials with higher upfront costs, employ multidisciplinary design optimization to iteratively refine the design, balancing performance requirements with cost reduction strategies.

Field
Modelling
Source
TSpace (University of Toronto) (2013)
Method
Multidisciplinary Design Optimization (MDO) incorporating topology, topography, and gauge optimization.
Evidence
Strong effect

Multidisciplinary design optimization can effectively reduce the cost of advanced materials like aluminum in automotive components by balancing material distribution, topography, and gauge with performance constraints. This modelling research insight is drawn from a 2013 study published in TSpace (University of Toronto). Using Multidisciplinary design optimization (mdo) incorporating topology, topography, and gauge optimization., researchers explored how this design variable affects real-world outcomes. The key design takeaway: When considering advanced materials with higher upfront costs, employ multidisciplinary design optimization to iteratively refine the design, balancing performance requirements with cost reduction strategies.

Study
ModellingHigh ImpactStrong effect

Optimized Aluminum Cross-Car Beam Design Reduces Cost While Maintaining NVH Performance

Multidisciplinary design optimization can effectively reduce the cost of advanced materials like aluminum in automotive components by balancing material distribution, topography, and gauge with performance constraints.

TSpace (University of Toronto) · 2013

01

Key Findings

  • 01A multidisciplinary design optimization procedure was successfully developed and applied.
  • 02The optimization process led to a reduction in the cost of the aluminum cross-car beam assembly.
  • 03NVH performance was maintained as a critical constraint throughout the optimization cycles.
02

Application

Design takeaway

When considering advanced materials with higher upfront costs, employ multidisciplinary design optimization to iteratively refine the design, balancing performance requirements with cost reduction strategies.

How to apply

Utilize simulation-based optimization tools that allow for the simultaneous consideration of multiple design disciplines (e.g., structural, acoustic) and cost factors.

Project actions

  • 01When choosing materials, consider not just performance but also the potential for cost reduction through advanced design optimization techniques.
  • 02If your design involves a trade-off between material cost and performance, explore simulation-based optimization to find an optimal balance.
03

Method & Evidence

AimHow can multidisciplinary design optimization be employed to reduce the cost of an aluminum cross-car beam assembly while ensuring satisfactory Noise-Vibration-Harshness (NVH) performance?
MethodMultidisciplinary Design Optimization (MDO) incorporating topology, topography, and gauge optimization.
ProcedureAn existing aluminum cross-car beam model was optimized using material distribution techniques and stochastic optimization. Cost penalty functions were designed based on a qualitative cost assessment. NVH performance was maintained as a key constraint through modal analysis to determine natural frequencies, with undesirable designs being eliminated. The final design was verified through static loading and evaluated for cost savings.
ContextAutomotive component design, specifically cross-car beam assemblies.

Variables

IVDesign parameters (topology, topography, gauge), cost penalty functions.
DVCost of the assembly, NVH performance (natural frequencies).
CVMaterial properties of aluminum, static loading scenario, initial cross-car beam model.
04

Strengths & Limitations

Strengths

  • +Addresses a practical industry problem of material cost vs. performance.
  • +Employs a comprehensive MDO approach combining multiple optimization types.

Limitations

The complexity of MDO software can be a barrier; the accuracy of the cost model is dependent on the quality of the input data.

Reliability & validity

The validity of the findings relies on the accuracy of the simulation models (modal and static analysis) and the cost estimation methods. Reliability would be assessed by the consistency of results if the optimization process were repeated.

Think critically

To what extent can the 'qualitative cost assessment' used in this study be made more objective and quantifiable for broader application?

05

Design Principles

"Integrate cost considerations as a primary objective within performance-driven design optimization processes."

This research demonstrates how sophisticated modelling techniques can overcome the cost barriers of using lighter, more energy-absorbent materials. By integrating cost considerations directly into the optimization process, designers can develop components that are both technologically superior and commercially viable.

06

What This Means for Your Design

This study shows how computer tools can help make expensive materials like aluminum cheaper for car parts by finding the best way to shape them and use just enough material, while still making sure the car isn't too noisy or shaky.

How to use in your project

  • 1.Reference this study when exploring material substitution or when justifying design choices that balance cost and performance in your design project.
07

Add to My Project

08

Quick Cite

Paragraph starter

This research demonstrates the efficacy of Multidisciplinary Design Optimization (MDO) in reducing the cost of components made from advanced materials. By integrating topology, topography, and gauge optimizations with cost penalty functions and NVH performance constraints, the study successfully optimized an aluminum cross-car beam, showing that advanced materials can become more commercially viable through intelligent design processes.

09

Source

TSpace (University of Toronto)

Multidisciplinary Design Optimization of Automotive Aluminum Cross-car Beam Assembly

journal · 2013

View source

Related studies

Questions About This Research

What does the research say about optimized aluminum cross-car beam design reduces cost while maintaining nvh performance?
When considering advanced materials with higher upfront costs, employ multidisciplinary design optimization to iteratively refine the design, balancing performance requirements with cost reduction strategies. Evidence: TSpace (University of Toronto) (2013).
Why does "Optimized Aluminum Cross-Car Beam Design Reduces Cost While Maintaining NVH Performance" matter for design?
This research demonstrates how sophisticated modelling techniques can overcome the cost barriers of using lighter, more energy-absorbent materials. By integrating cost considerations directly into the optimization process, designers can develop components that are both technologically superior and commercially viable.
How can designers apply this research?
When considering advanced materials with higher upfront costs, employ multidisciplinary design optimization to iteratively refine the design, balancing performance requirements with cost reduction strategies.
What were the main findings?
A multidisciplinary design optimization procedure was successfully developed and applied.. The optimization process led to a reduction in the cost of the aluminum cross-car beam assembly.. NVH performance was maintained as a critical constraint throughout the optimization cycles.
What research method was used?
Multidisciplinary Design Optimization (MDO) incorporating topology, topography, and gauge optimization..
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2013 journal from TSpace (University of Toronto).
What should I do differently in my next project?
Utilize simulation-based optimization tools that allow for the simultaneous consideration of multiple design disciplines (e.g., structural, acoustic) and cost factors.
What are the limitations?
The qualitative cost assessment might introduce subjectivity; the specific optimization algorithms and their convergence properties were not detailed.