- Physically accurate rendering with Ocean™
- Step 1: Analyze and characterize materials for optical simulation
- Step 2: Create digital material models for predictive rendering
- Step 3: Integrate 3D CAD models and lighting for real-world simulation
- Step 4: Run predictive rendering and lighting analysis with Ocean™
- A collaborative workflow for design and R&D
- Conclusion: Optical simulation as the link between design and engineering validation
Introduction
What does it mean to say a rendering is physically accurate?
In developing advanced industrial products, achieving accurate visual appearance is not only a design requirement, but also a technical necessity. Optical simulation with Ocean™ bridges creative design and technical validation, enabling teams to anticipate and control the appearance of complex materials in real-world scenarios. Our simulation tool supports this transition with a physics-based engine that integrates both spectral measurements and designer input into a single predictive workflow.
This article explains how to create physically accurate images by combining design creativity and scientific accuracy to to achieve visual realism with engineering credibility.
Analyze and characterize materials for optical simulation
The first step toward physically true virtual prototype starts not with a shader — but with a real sample.
Industrial design often involves materials with layered or textured appearances, such as glass facades, screen assemblies, anodized metals, or coated plastics. These materials exhibit complex optical behaviors that must be accurately captured to achieve predictive rendering.
Capture spectral material data for predictive simulation
The process typically begins with spectral characterization of real material samples. Using high-resolution spectrophotometers, goniospectrophotometers, or BSDF scanners, Ocean™ integrates wavelength-dependent reflectance, transmittance, or scattering measurements into its simulation workflow.
These datasets enable physically-based modeling of phenomena such as:
- Angular-dependent color shifts
- Directional gloss and haze
- Interference or subsurface scattering effects
By grounding material definition in empirical data, our optical simulation tool ensures that the resulting visual faithfully reproduce the material’s true optical behavior — under any lighting condition or viewing geometry.

Figure 1: gold sample

Figure 2: Comparing gold materials performances with refractive index data & predictive rendering on Ocean™ demo seashell

Figure 3: glass sapphire sample

Figure 4: Comparing sapphire materials performances with refractive index data & predictive rendering
Visual analysis to refine material appearance
To validate measurements or when direct data acquisition is limited — due to sample fragility, small scale, or fabrication constraints (as is often the case with nacre or gems) — visual observation is key.
Our workflow allows design and R&D teams to work together at refining the material hypothesis through:
- Visual inspection under neutral lighting across different angles, revealing complex effects such as gloss variation, iridescence, or texture transitions
- Reference images, which provide real-world context for how the material behaves across lighting scenarios
- Precise topographical analysis and optical behavior mapping to identify zones of reflection, optical layering, or chromatic shifts critical to appearance
- In addition to empirical observations, peer-reviewed scientific literature is consulted to identify relevant optical mechanisms and microstructural behaviors.
Established models and physical laws are applied to ensure that the simulated appearance remains grounded in verifiable physics, even when direct measurement is not feasible. This iterative process forms a shared understanding of how the material “should look” — merging perceptual expectations with physical realism.
We detail our methods for studying complex materials, such as nacre and gems, in related articles.

Figure 5: Combining optical measurements, scientific litterature & visual analysis for predictive product design with Ocean™
Create digital material models for predictive rendering
Once material understanding is established — through spectral measurements and observational analysis — the next step is to translate these physical and visual characteristics into a simulation-ready digital format.
Our process offers two complementary approaches:
Build physics-based material models from spectral data
When spectral data is available (reflectance, transmittance, BSDF…), Ocean™ uses it directly to create a physically true material model. This ensures that light–material interactions — including gloss, tint, directional effects, and layer interferences — are accurately reproduced across all viewing and lighting conditions. These models are:
- Wavelength-dependent (not just RGB)
- Angle-resolved, capturing subtle anisotropies or sparkles
- Predictive, not tweaked for a single view but consistent across scenarios
Enhance appearance with textures and surface geometry
For materials where microstructure plays a key visual role — such as brushed metals, sandblasted coatings, or hand-crafted surfaces — high-resolution texture maps, normal maps, or measured height fields are added to define surface geometry and detail.
Ocean™ combines this geometric information with optical properties to simulate complex appearance effects:
- Surface roughness gradients
- Local color variations
- Irregular gloss zones or defects
By combining data-driven optics and perceptual refinements, this step bridges physical measurement with digital representation — ensuring the simulation remains both scientifically grounded and visually credible.

Figure 6: The end-product's appearance depends of a combination of the materials optical properties, the specific geometry and the lighting conditions of the environment.

Nacre, natural texture

Nacre micro-texture guilloché
Figure 7: observe the impact of geometry on the object’s final appearance
Integrate 3D CAD models and lighting for real-world simulation
Design accuracy doesn’t stop at the material.
- CAD model integration in Ocean™ supports highly detailed assemblies, preserving the design intent down to fine tolerances.
- Lighting configuration (natural, artificial, or mixed) is defined using HDRI, IES files, or fully spectral light sources.
- The environment — including background, reflectors, or surrounding structures — is set up to mirror use-case scenarios: showroom lighting, outdoor usage, in-vehicle cabin, etc.
Ocean™ supports spectral global illumination and bidirectional path tracing, which means every simulation accounts for real light transport — transmission, scattering, inter-reflections — all grounded in physics.

Figure 8: 3D file example of a simple watch design
Run predictive rendering and lighting analysis with Ocean™
With all inputs ready, Ocean™ generates:
- Physically accurate renderings with predictive visuals — not approximations.
- Lighting analysis such as spectral imaging, colorimetric plots, radiometry, and photometry.
- In-situ visualization to test appearance within real use cases — e.g., dashboard reflection in a car interior or façade tint under sunset lighting.
These results are not only visual — they are actionable. Designers validate their choices, engineers assess tolerances, and decision-makers review results without needing a physical prototype.

Figure 9: Digitalization workflow for complex materials in Ocean™
A collaborative workflow for design and R&D
Ocean™ encourages an iterative, collaborative loop:
- Designers adjust appearance based on feedback.
- Engineers refine measurements or choose better material fits.
- Stakeholders preview outcomes early — accelerating development and improving accuracy.
This alignment is particularly valuable for materials that blend subjective aesthetics (e.g., luxury feel, brand identity) with objective performance (e.g., glare reduction, light transmission, color stability).
In the nacre simulation project, for example, the combination of theoretical BSDF modeling and artistic texture creation enabled Ocean™ to replicate surface complexity and iridescence — without scanning. The process resulted in a shader that’s not only realistic, but editable, reusable, and scalable for other materials in the same product line.
Here is a short summary of the differences between classical renderers, optical softwares and Ocean™:

Figure 10: Comparing 3D rendering tools, optical software and Ocean™
Conclusion: Optical simulation as the link between design and engineering validation
Optical simulation with Ocean™ transforms subjective design vision into validated, shareable, and scientifically grounded outcomes. It empowers industrial design workflows with:
- Predictive appearance
- Measurable lighting performance
- Faster, more informed decision-making
By integrating optical data, CAD, texturing, and real-world context, Ocean™ helps teams design with science — and validate with confidence.
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Q&A
What is predictive rendering, and how does Ocean™ support it?
Predictive rendering refers to generating images that not only look realistic but are physically accurate based on real-world optical properties. Ocean™ achieves this by combining spectral measurements, BSDF data, and ray-tracing algorithms to simulate how materials truly behave under various lighting conditions.
How does optical simulation improve industrial design workflows?
Optical simulation bridges the gap between creative intent and technical validation. With Ocean™, design teams can preview the appearance of materials and assemblies in real environments — without the need for physical prototypes. This reduces development time and improves confidence in design decisions.
What types of materials can be simulated?
Ocean™ supports a wide range of optically complex materials, including:
Glass (laminated, tempered, coated…)
Coated or anodized metals
Textured or layered composites
Iridescent materials (e.g., nacre, automotive finishes)
What is the role of spectral measurements in Ocean™ simulations?
Spectral measurements capture how materials interact with light across different wavelengths. In Ocean™, this data ensures that the simulated appearance reflects real-world phenomena like:
- Iridescence
- Angular color shifts
- Subsurface scattering
- Gloss and haze
- …
How are textures and surface geometry integrated into the simulation?
When material microstructure plays a key visual role, Ocean™ allows the use of:
- Normal maps
- Height maps
- High-resolution textures
These elements are layered on top of optical models to enhance realism, capturing both the optical and topographic characteristics of materials.
Can Ocean™ simulate full assemblies, not just materials?
Yes. Ocean™ imports complex CAD assemblies and applies lighting setups using HDRIs, IES profiles, or spectral light sources. It supports full-scene simulations, including:
- Light transport (reflections, transmission, scattering)
- Environment interaction
- In-situ evaluations (e.g., cabin reflections, architectural daylight)
Who benefits from Ocean™ in a product development team?
Ocean™ is designed for:
- Designers: to explore aesthetics and brand alignment
- Engineers: to validate material performance and tolerances
- Marketing teams: to produce accurate visuals without prototypes
- Decision-makers: to accelerate approval with data-driven visuals
How does Ocean™ differ from traditional rendering software?
Unlike traditional rendering tools that rely on artistic approximation, Ocean™ uses a physics-based simulation engine. It’s grounded in scientific data, allowing for validated visuals and actionable lighting analysis, making it suitable for R&D as well as design.
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