Short answer
Shift from 'designing for perfection' to 'simulating for reality' by using 3D scanning data to refine CAD models during the iterative testing phase.
- Field
- Modelling
- Source
- Archives of Computational Methods in Engineering (2023)
- Method
- Literature Review
- Evidence
- Strong effect
IBSim bridges the gap between theoretical design and physical reality by using non-destructive imaging to simulate the exact geometry of manufactured parts. This modelling research insight is drawn from a 2023 study published in Archives of Computational Methods in Engineering. Using Literature review, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Shift from 'designing for perfection' to 'simulating for reality' by using 3D scanning data to refine CAD models during the iterative testing phase.
Image-Based Simulation (IBSim) reduces performance discrepancies by replacing idealized CAD with 'as-manufactured' digital twins
IBSim bridges the gap between theoretical design and physical reality by using non-destructive imaging to simulate the exact geometry of manufactured parts.
Archives of Computational Methods in Engineering · 2023
Key Findings
- 01Idealized CAD models fail to account for 'as-manufactured' variations like porosity in 3D prints or fiber misalignment in composites.
- 02IBSim allows for part-specific virtual testing, enabling a 'digital twin' approach for quality assurance.
- 03The technique is essential for biomimicry where geometries are too complex for manual CAD reconstruction.
Application
Design takeaway
Shift from 'designing for perfection' to 'simulating for reality' by using 3D scanning data to refine CAD models during the iterative testing phase.
How to apply
Use 3D scanning to create a mesh of a physical prototype, then run FEA (Finite Element Analysis) on that mesh rather than the original CAD file.
Project actions
- 01Mention the difference between 'as-designed' and 'as-manufactured' in your project evaluation.
- 02If using 3D printing, discuss how internal infill patterns (which aren't usually in the CAD) affect strength.
Method & Evidence
Variables
Strengths & Limitations
Strengths
- +Comprehensive cross-industry analysis
- +Clear distinction between design intent and manufacturing reality
Limitations
Students rarely have access to CT scanners, so they must rely on visual inspection or basic 3D scanning which lacks internal detail.
Reliability & validity
High validity for high-stakes engineering; reliability depends on the resolution of the imaging used.
Think critically
If a simulation is based on a 'perfect' model, is the designer responsible if the 'imperfect' manufactured version fails?
Design Principles
"As-Manufactured Validation"
In high-value manufacturing, the 'as-designed' CAD model often ignores micro-defects or material variations. This research highlights how advanced modelling techniques can predict failure more accurately than traditional CAD by accounting for manufacturing deviations.
What This Means for Your Design
Even if your CAD model looks perfect, the real 3D printed or cast part will have tiny flaws; using a scan of the real part for your computer tests is much more accurate.
How to use in your project
- 1.Use this to justify why you performed physical load testing instead of just relying on a CAD simulation, or vice versa.
Add to My Project
Quick Cite
Paragraph starter
According to Evans et al. (2023), Image-Based Simulation (IBSim) is critical because it accounts for the 'non-negligible variation' between idealized CAD designs and the actual manufactured state, ensuring higher accuracy in performance testing.
Source
Archives of Computational Methods in Engineering
A Review of Image-Based Simulation Applications in High-Value Manufacturing
journal · 2023
View sourceQuestions About This Research
- What does the research say about image-based simulation (ibsim) reduces performance discrepancies by replacing idealized cad with 'as-manufactured' digital twins?
- Shift from 'designing for perfection' to 'simulating for reality' by using 3D scanning data to refine CAD models during the iterative testing phase. Evidence: Archives of Computational Methods in Engineering (2023).
- Why does "Image-Based Simulation (IBSim) reduces performance discrepancies by replacing idealized CAD with 'as-manufactured' digital twins" matter for design?
- In high-value manufacturing, the 'as-designed' CAD model often ignores micro-defects or material variations. This research highlights how advanced modelling techniques can predict failure more accurately than traditional CAD by accounting for manufacturing deviations.
- How can designers apply this research?
- Shift from 'designing for perfection' to 'simulating for reality' by using 3D scanning data to refine CAD models during the iterative testing phase.
- What were the main findings?
- Idealized CAD models fail to account for 'as-manufactured' variations like porosity in 3D prints or fiber misalignment in composites.. IBSim allows for part-specific virtual testing, enabling a 'digital twin' approach for quality assurance.. The technique is essential for biomimicry where geometries are too complex for manual CAD reconstruction.
- What research method was used?
- Literature Review.
- How strong is the evidence?
- Evidence strength is rated Strong effect, based on a 2023 journal from Archives of Computational Methods in Engineering.
- What should I do differently in my next project?
- Use 3D scanning to create a mesh of a physical prototype, then run FEA (Finite Element Analysis) on that mesh rather than the original CAD file.
- What are the limitations?
- High computational cost and the requirement for expensive scanning equipment like Micro-CT.