Static electricity from rubbing two materials together can clog pipes, ruin drug formulations, and even cause explosions in factories. This project tackles the fundamental science of triboelectrification—the charge transfer that happens when materials collide or slide—which remains poorly understood for non-metallic surfaces like plastics and powders. The problem is widespread. In pharmaceutical manufacturing, charged drug particles can jam spiral jet mills, concentrate minor ingredients unpredictably, or stick to grounded surfaces, wasting product and disrupting formulations. Humidity and temperature add further complexity. Despite being known for millennia, triboelectrification cannot yet be predicted from first principles. The research combines molecular-level calculations using density functional theory with custom instruments to measure charge distribution, then scales up to real industrial processes like pneumatic conveying, fluidised beds, and cyclone separators. Seven industrial partners and six international collaborators will work across seven work packages. If successful, the work could reduce manufacturing waste and environmental footprint across pharmaceuticals, foods, plastics, and additive manufacturing. It also aims to optimise Tribo Electric Nano Generators (TENG), a fast-growing technology that harvests energy from static charge. The project is fundamentally curiosity-driven but has clear, near-term industrial applications.
View original technical description
Collisional and sliding contacts of two different materials are commonly associated with electric charge transfer, leading to charge accumulation. This causes an overwhelming number of handling and processing problems and explosion hazards, thereby degrading manufacturing efficiency and causing out of specification products and wastage. Examples are strong adhesion to containing walls and deposition in pipes, impairing flowability and aggravating segregation of components in a mixture, thereby upsetting formulations. It is common to experience highly active drugs filling up a spiral jet mill (thereby upsetting its functioning), components of a formulation preferentially depositing on grounded surfaces, getting concentration spikes of minor components of a formulation, poor powder spreading due to charging in additive manufacturing. In contrast, the phenomenon has been used to good effect in xerography and more recently for Tribo Electric Nano Generators (TENG). Despite being known for millennia, the triboelectrification phenomenon is not well understood and actually not predictable for non-metallic surfaces. The role of environmental humidity and temperature adds to the complexity. Considering its importance in advanced manufacturing of new materials, for which little material is initially available, a timely project with internationally leading-edge participation is proposed to tackle triboelectrification from a molecular level solid-state formation, right up to large scale manufacturing of active pharmaceutical ingredients and polymers. The project has seven industrial partners and six international collaborators from Japan, Brazil, Italy and Canada, contributing to seven work packages, each addressing a topic of scientific as well as industrial interest. The activities range from molecular solid-state level work function calculations by Density Functional Theory, to particle charge transfer characterisation by developing specialised instruments for charge distribution measurement and TENG, to unit operation level, including fast fluidisation and risers, pneumatic conveying and cyclone separation. The work is of strategic interest in manufacturing, ranging from pharmaceuticals, foods and plastics to additive manufacturing. It will have a huge impact on manufacturing sustainability, as the mitigation of triboelectrification issues will have a notable reduction in wastage and environmental footprint, and on the performance and material optimisation for the fast growing new technology of TENG. The proposed programme will tackle six challenges as addressed in the Case for Support.
Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.
Is something wrong? Let us know