Stokes' Cradle: Newton's Cradle with Liquid Coating

TL;DR

This study experimentally investigates liquid-coated sphere collisions using a Stokes' cradle, revealing how controlling liquid bridge volume enables Newton's cradle behavior and uncovering new insights into fluid resistance effects in three-body collisions.

Contribution

It demonstrates how to achieve Newton's cradle outcomes in liquid-coated spheres by controlling liquid bridge volume, providing a first-principles model and new understanding of fluid resistance effects.

Findings

Achieved Newton's cradle behavior by controlling liquid bridge volume.

Provided evidence that fluid resistance affects rebound due to cavitation.

Uncovered new collision outcomes in liquid-coated sphere experiments.

Abstract

Flows involving liquid-coated grains are ubiquitous in nature (pollen capture, avalanches) and industry (air filtration, smoke-particle agglomeration, pharmaceutical mixing). In this work, three-body collisions between liquid-coated spheres are investigated experimentally using a "Stokes' cradle", which resembles the popular desktop toy known as the Newton's cradle. Surprisingly, previous work indicates that every possible outcome was observed in the wetted system except the traditional Newton's cradle (NC) outcome. Here, we are able to experimentally achieve NC via guidance from a first-principles model, which revealed that controlling the volume of the liquid bridge connecting the two target particles is the key parameter in attaining the NC outcome. By independently decreasing the volume of the liquid bridge, we not only achieved NC but also uncovered several new findings. For example, in contrast to previous work on two-body collisions, three-body experiments provide direct evidence that the fluid resistance upon rebound cannot be completely neglected due to presumed cavitation; this resistance also plays a role in two-body systems yet cannot be isolated experimentally in such systems. The herein micro-level description provides an essential foundation for macro-level descriptions of wetted granular flows.