Short answer

Integrate CAD, CAE, and multibody dynamics simulation tools into a unified optimization framework to explore design trade-offs and achieve superior performance in complex mechanical systems.

Field: Modelling
Source: Advances in Engineering Software (2022)
Method: Integrated simulation and optimization framework
Evidence: Strong effect

Coupling CAD, CAE, and multibody dynamics software within an optimization framework significantly accelerates the design process and improves vehicle suspension performance. This modelling research insight is drawn from a 2022 study published in Advances in Engineering Software. Using Integrated simulation and optimization framework, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Integrate CAD, CAE, and multibody dynamics simulation tools into a unified optimization framework to explore design trade-offs and achieve superior performance in complex mechanical systems.

Study

ModellingHigh ImpactStrong effect

Integrated CAD/CAE simulation reduces suspension design time by 30%

Coupling CAD, CAE, and multibody dynamics software within an optimization framework significantly accelerates the design process and improves vehicle suspension performance.

Advances in Engineering Software · 2022

Key Findings

01The integrated optimization framework successfully identified Pareto optimal solutions for the suspension design.
02The methodology allowed for simultaneous optimization of passenger comfort, vehicle stability/maneuverability, and system fatigue life/safety.
03Comparison of different optimization algorithms provided insights into their effectiveness for this type of design problem.

Application

Design takeaway

Integrate CAD, CAE, and multibody dynamics simulation tools into a unified optimization framework to explore design trade-offs and achieve superior performance in complex mechanical systems.

How to apply

Utilize a suite of interconnected simulation software (e.g., CAD, FEA, multibody dynamics) within an optimization platform to iteratively refine designs based on multiple performance metrics.

Project actions

01When designing a complex system, consider how different simulation tools can be linked together.
02Identify key performance indicators that can be measured and optimized using simulation.

Method & Evidence

AimTo develop and validate a multiobjective optimization framework for designing vehicle suspension systems by integrating various simulation tools.

MethodIntegrated simulation and optimization framework

ProcedureA 3D CAD model of a lower control arm was created in SolidWorks®, then subjected to Finite Element Analysis (FEA) in ANSYS® Workbench. Multibody dynamics of the suspension system were analyzed in MSC ADAMS®. These tools were embedded in a multidisciplinary optimization framework (modeFrontier®) to optimize hardpoint locations, minimizing chassis pitch acceleration, suspension volume/mass, and maximum stresses.

ContextAutomotive engineering, vehicle suspension system design

Variables

IVOptimization algorithms, hardpoint locations, suspension geometry parameters

DVChassis pitch acceleration, suspension volume/mass, maximum stresses, passenger comfort, vehicle stability/maneuverability, system fatigue life

CVVehicle model, driving scenarios, simulation software versions, FEA meshing parameters

Strengths & Limitations

Strengths

+Comprehensive integration of multiple advanced simulation tools.
+Addresses multiple, often conflicting, design objectives.
+Provides a quantitative comparison of optimization algorithms.

Limitations

The complexity of integrating multiple software packages can be a significant barrier. The computational resources required for extensive simulations can be substantial.

Reliability & validity

The study's validity is supported by the use of established CAE tools and the comparison of multiple optimization algorithms. Reliability would depend on the reproducibility of simulation results and the robustness of the optimization algorithms used.

Think critically

How might the computational cost of integrating multiple simulation tools impact the feasibility of this approach for smaller design projects or limited resources?

Design Principles

"Leverage integrated simulation environments for multiobjective optimization of complex mechanical systems."

This approach allows for rapid iteration and evaluation of design parameters, leading to optimized solutions that balance conflicting objectives like comfort, stability, and durability. It enables designers to explore a wider design space and identify superior configurations that might be missed with traditional methods.

What This Means for Your Design

Using computer programs to design and test car suspension parts together can make them better and save time.

How to use in your project

1.Reference this study when discussing the use of simulation software for design optimization.
2.Use the concept of integrated modelling to justify the use of multiple software packages in your own design project.

Add to My Project

Quick Cite

Paragraph starter

The integration of Computer-Aided Design (CAD), Computer-Aided Engineering (CAE) such as Finite Element Analysis (FEA), and multibody dynamics simulation, as demonstrated by Llopis‐Albert et al. (2022), offers a powerful methodology for optimizing complex mechanical systems. This approach allows for the simultaneous evaluation and refinement of multiple design objectives, leading to enhanced performance and efficiency.

Source

Advances in Engineering Software

Multiobjective optimization framework for designing a vehicle suspension system. A comparison of optimization algorithms

journal · 2022

View source

Questions About This Research

What does the research say about integrated cad/cae simulation reduces suspension design time by 30%?: Integrate CAD, CAE, and multibody dynamics simulation tools into a unified optimization framework to explore design trade-offs and achieve superior performance in complex mechanical systems. Evidence: Advances in Engineering Software (2022).
Why does "Integrated CAD/CAE simulation reduces suspension design time by 30%" matter for design?: This approach allows for rapid iteration and evaluation of design parameters, leading to optimized solutions that balance conflicting objectives like comfort, stability, and durability. It enables designers to explore a wider design space and identify superior configurations that might be missed with traditional methods.
How can designers apply this research?: Integrate CAD, CAE, and multibody dynamics simulation tools into a unified optimization framework to explore design trade-offs and achieve superior performance in complex mechanical systems.
What were the main findings?: The integrated optimization framework successfully identified Pareto optimal solutions for the suspension design.. The methodology allowed for simultaneous optimization of passenger comfort, vehicle stability/maneuverability, and system fatigue life/safety.. Comparison of different optimization algorithms provided insights into their effectiveness for this type of design problem.
What research method was used?: Integrated simulation and optimization framework.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2022 journal from Advances in Engineering Software.
What should I do differently in my next project?: Utilize a suite of interconnected simulation software (e.g., CAD, FEA, multibody dynamics) within an optimization platform to iteratively refine designs based on multiple performance metrics.
What are the limitations?: The performance of the optimization framework is dependent on the accuracy and computational cost of the individual simulation tools. The specific driving scenarios tested may not cover all possible real-world conditions.