Conventional conveyor systems waste energy through
small rollers, poor materials, and friction-heavy designs
Big Roller™ reduces system losses at the source with
larger diameters
lighter materials and
lab-validated design principles
🌀IRR Reduction Up to 50% lower indentation rolling resistance from contact geometry
🔧Bearings 80% less Rim Drag friction and extended bearing life / increased load capacities
⚙️Lab-Tested Materials 22x improved wear resistance compared to HDPE + Glass shells
📏Precision Tolerances T.I.R. < 0.2 mm, G16 dynamic balance class, machined fabrications
Big Roller™ applies a systematic framework across every product line:
Technology Readiness Levels (TRLs) – NASA aligned progression from concept to deployment
Market & Adoption Readiness (MRL/ARL) – Evaluating regulatory and operational fit
Commercial Readiness Index (CRI) – Financial metrics to track performance
Lean Canvas & Unleashed Zone Diagnostics – Business model validation for scalable deployment
We don’t guess. We test, measure, and improve — at every step
We scoured the global idler supply chain to source the best roller designs. Our extensive investigations led us to a manufacturer of cast Nylon materials that outperforms in terms
✔️ Minerals Research Institue of WA funded research
✔️ TUNRA Bulk Solids:
✔️ Newcastle Institute for Energy and Resources: Bearings and friction torque testing to SANS 1313-3, Grease and lubricant analysis
✔️ Universidade Tecnológica Federal do Paraná: Shell Abrasion loss Modified ASTM G65
✔️ Strake Engineering: 3rd Party Engineering structural validation
We are always interested in helping conveyor designers validate their assumptions and reduce conservatism within their designs. We also assist purchasing departments understand what sets us apart. Please reach out and let us assist you to determine the specific testing required for your situation.
We use cookies to analyze website traffic and optimize your website experience. By accepting our use of cookies, your data will be aggregated with all other user data.