We propose a procedure for digitizing a translucent object with sufficient information for predictive rendering of its appearance.
In a broad range of manufacturing disciplines, every product has a digital twin useful for product design and quality assurance. The digital twin facilitates digital prototyping, a process that enables the designer to virtually explore use of materials before manufacturing starts. This saves time and reduces waste. However, if we are to trust and make decisions based on a digital twin, we need an ability to predictively render the appearance of the digital object.
Sample | wt-% | Scattering Particle | Particle Density | Mean Diameter | Refractive Index |
---|---|---|---|---|---|
IOL1068-05 | 0.70 | Titanium dioxide (TiO2) | 4.23 g/mL | 300nm | Seifke et al. (2016) |
IOL1068-06 | 3.00 | ||||
IOL1068-07 | 5.00 | ||||
IOL1068-08 | 0.30 | Polydimethylsiloxane (PDMS) | 0.965 g/mL | 2.2 µm | Zhang et al. (2020) |
IOL1068-09 | 0.65 | ||||
IOL1068-10 | 1.00 | ||||
IOL1068-11 | 1.50 | Polyvinylpyrrolidone (PVP) | 1.2 g/mL | [8µm;10µm] | König et al. (2014) |
IOL1068-12 | 3.50 | ||||
IOL1068-13 | 5.00 | ||||
IOL1068-14 | 0.50 | Polymethyl methacrylate (PMMA) | 1.18 g/mL | [0.8µm;1µm] | Zhang et al. (2020) |
IOL1068-15 | 1.25 | ||||
IOL1068-16 | 2.00 |