The Ultrasonic Scrubber: Description, Performance and Operating Mechanism John R. Saylor Department of Mechanical Engineering Clemson University Clemson, SC, USA Collaborators: Weiyu Ran (Cummins Inc.) Steven Fredericks (Clemson Univ.) Tyler Merrell (Clemson Univ.) R. Glynn Holt (Boston Univ.) Financial Support: NSF NIOSH Air pollution (particulate) Alex Hofford Photography Wikipedia •Ship track NASA, J. Allen & R. Simmon Wikimedia Commons % Increase in Deaths Fine particles (PM 2.5) and daily death rate PM2.5 (mg/m3) J. Schwartz et. al. Environ Health Perspect. 2002 October; 110(10) So, O(1) micron particles are dangerous! Technologies to control particulate pollution Wet scrubber Electrostatic Precipitator Source: EPA Fabric Filter Wet scrubber • Advantages Simultaneously collect particulate matter and gaseous pollutants. Treat particulate matter regardless of its composition and condition. Compact. Low energy cost. • Disadvantage Has limited capability to remove fine particles (order of 1 μm). Wet scrubber 100 10−1 E 10−2 10−3 10−4 10−3 10−2 10−1 EPA Scavenging coefficient : 𝐸 = 𝑛𝐶 𝑛𝑇 𝑛𝐶 : Number of particles removed by the device. 𝑛 𝑇 : Total number of particles enter the device 100 101 102 d (μm) H. T. Kim, C. H. Jung, S. N. Oh, and K. W. Lee. Particle removal efficiency of gravitational wet scrubber considering diffusion, interception, and impaction. Environmental engineering science, 18(2):125–136, 2001. Motivation - How can we get wet scrubbers to do a better job of removing O(1mm) particles from pollution? (Wikipedia) - How can we get water sprays to do a better job of removing O(1mm) particles? Wet scrubber Which really means… (EPA) Why are sprays bad at O(1um) particles? 𝑑 ≫ 1μm 𝑑 ≪ 1μm 𝑑~1μm Particle scavenging mechanism Big Particles 𝑑 ≫ 1μm 𝑑 ≪ 1μm 𝑑~1μm Particles scavenged by inertial processes Particle scavenging mechanism Big Particles 𝑑 ≫ 1μm Particles scavenged by inertial processes Small Particles 𝑑 ≪ 1μm Particles scavenged by diffusive processes 𝑑~1μm Particle scavenging mechanism Big Particles 𝑑 ≫ 1μm Particles scavenged by inertial processes Small Particles 𝑑 ≪ 1μm Particles scavenged by diffusive processes Intermediate Size Particles 𝑑~1μm Neither scavenging process works well ! How Do We Solve This Problem? We need some force that pushes particles and drops together. Our approach was to use ultrasonics (the acoustic radiation force, Far). Ultrasonic Standing Wave Fields It has long been known that an Ultrasonic Standing Wave Field (USWF) can be used to levitate objects. How Does This Work? L Ultrasonic transducer Reflector Pressure Nodes Sound pressure distribution How Does This Work? Levitation and Accretion in USWF Hypothesis We hypothesized that we could get drops and particles to accrete in an USWF and thereby be removed from the air. The Ultrasonic Scrubber E: Scavenging Coefficient E = (Particles In – Particles Out)/(Particles In) 150mm 300mm Successful Results 𝑛𝐶 𝐸= 𝑛𝑇 I 𝑛𝐶 : Number of particles removed by the device. 𝑛 𝑇 : Total number of particles entering the device Ew Ewo Ewo 100% Ew: with ultrasonics Ewo: without ultrasonics I was as large as 140% Results 𝑑𝑝 =0.9±0.2μm Results 𝐸𝑤 − 𝐸𝑤𝑜 𝐼= × 100% 𝐸𝑤𝑜 𝐸𝑤 : Scavenging coefficient with ultrasonics. 𝐸𝑤𝑜 : Scavenging coefficient without ultrasonics. Results Results 7 But why? What is the mechanism? Particle entrained in wake? Drop Particle Node (Accretion Disk) Particles and drops moved? Particles agglomerate, then moved? Acoustic radiation force (Settnes & Bruus) 𝑘𝜋 3 𝐹𝑎𝑟 = 𝑑 𝐸𝑎𝑐 ϕ sin 2𝑘𝑦 6 1 3 1 2 ϕ = 𝑓1 + 𝑓2 𝜅0 2 1−𝛾 𝑓2 = ʀ 𝜌𝑝 −1 𝜌0 (N) 𝜌𝑝 +1−3𝛾 𝜌0 2 𝛾=− 3 2 𝛿= 2𝜈 𝜔 1+𝑖 1+ 2𝛿 𝑑 2𝛿 𝑑 𝐹𝑎𝑟 𝑓1 = 1 − 𝜅𝑝 𝑘 : Wave number 𝑑 : Particle diameter y: location in the standing wave field 𝐸𝑎𝑐 : Acoustic energy density 𝜅𝑝 : Compressibility of the particle 𝜅0 : Compressibility of the air 𝜌𝑝 : Density of the particle 𝜌0 : Density of the air 𝜈 : Kinematic viscosity of the air 𝜔 : Angular frequency of the acoustic wave Simulations Drag force 𝐹𝑎𝑟 Drop 𝑚𝑑 𝑔 Drag force 𝐹𝑎𝑟 Particle The trajectories of spray drops and partiles dp = 0.9 mm dd = 87 mm Ug = 2.8 cm/s Ql = 0.92 ml/s Results (1) Droplet Reynolds numbers were all O(1), so there is no wake (and no particle entrainment). Particle concentration in the accretion disk 𝑊0 𝐶𝑦 = 𝐶0 𝑊𝑦 𝐶𝑦 : Concentration of particles at location 𝑦 𝑊𝑦 𝐶0 : Concentration of particles at y=0 𝑊0 Maximum 𝐶0 ~107 /m3 𝑊0 Maximum ~104 𝑊𝑦 11 3 𝐶𝑚𝑎𝑥 ~10 /m Particle-particle interactions in accretion disk 𝐶𝑚𝑎𝑥 ~1011 /m3 1 𝐸𝑎 = 1 − × 100% 1 + 𝐶𝑚𝑎𝑥 𝐾𝑡 𝐸𝑎 : Percent decrease of particle number due to particle-particle agglomeration 𝐾: Particle agglomeration coefficient 𝑡 : Time particles reside in the accretion disk 𝐸𝑎 is only 0.1% of observed scavenging in the accretion disk. Results (1) Droplet Reynolds numbers were all O(1), so there is no wake (and no particle entrainment). (2) Particle-particle agglomeration can be eliminated. Conclusions (1) An un-optimized ultrasonic scrubber is able to improve spray drop scavenging by as much as 140%. (2) The mechanism is movement of both drops and particles to the node where dropparticle interactions result in particle removal. (3) For particle concentrations like those in actual industrial emissions (C = 1010 /m3 – 1013 /m3), particle-particle may be comparable to particle-drop. Questions? Thank you!