THE CONSULTANCY UNIT OF THE TUN ABDUL RAZAK RESEARCH CENTRE (TARRC) Predicting the Performance of Hydromounts Judith Picken jpicken@tarrc.co.uk www. rubberconsultants.com Introduction Rubber research centre in Hertfordshire Seven units: Engineering Design Product Evaluation & Testing Industrial Support Materials Characterisation Advanced Materials & Product Development Biotechnology Market Intelligence & Promotion Outline What are hydromounts, and why do we need them? Main source of non-linearities Non-linear model for rubber Viscoplastic model Effect of frequency Effect of amplitude Effect of scragging Resistance to flow Vacuum effect Structure of a Hydromount Rubber spring First chamber Inertia track Second chamber Rubber diaphragm 900 800 Variation of a hydromount’s dynamic properties with frequency for different strain amplitudes 700 600 500 400 300 200 100 0 0 10 20 30 Frequency / Hz 40 50 800 700 Amplitude Hydromounts are non-linear with respect to both frequency and amplitude K'' / Nmm-1 K' / Nmm-1 1000 600 0.05mm 500 0.1mm 0.2mm 400 0.3mm 300 0.5mm 200 1mm 100 0 0 10 20 30 Frequency / Hz 40 50 Non-linearities Resistance to flow in the inertia track: The linear equation underestimates the resistance and does not include turbulent flow Stiffness and damping of the rubber spring A preload results in a mean displacement, altering the pump area of the rubber spring Compliances of the two chambers are assumed to be elastic, but there is a frequency and amplitude dependent phase difference between the change in pressure and the change in volume The vacuum effect: when the pressure in the first chamber falls below atmospheric air can come out of solution leading to a rise in the compliance Non-linear model for rubber We need to predict the stress-strain behaviour of a filled rubber subjected to time-varying inputs – quasi-static, cyclic, creep suitable for engineering applications The model should: Be simple to implement in commercial FEA codes Have as few parameters as possible • Ideally related to the compound formulation Be related to physical processes • used outside characterisation test regime • helps to achieve small number of parameters Be based on simple characterisation tests Predict the effect of temperature Predict the response to strain history (Mullins Effect) One-Dimensional ‘Viscoplastic’ Model VE HE EP Incorporating three different terms: • Hyperelastic – underlying behaviour • Viscoelastic – rate effects • Elastoplastic – rate-independent hysteresis Hyperelastic part Viscoelastic part he ep ve Elastoplastic part HR Ahmadi et al, 2008, Rubber Chemistry and Technology, 81(1): 1-18. 7 EDS14 EDS15 EDS16 EDS19 EDS14 model EDS15 model EDS16 model EDS19 model T = 248K 6 4 3 2 1 0 0.1 1 Material EDS19 EDS14 EDS15 EDS16 Frequency/Hz 10 N330/[phr] 0 15 30 45 100 2 T=373K 1.8 1.6 1.4 G'/MPa G'/MPa 5 Temperature- and frequencydependence can be modelled with a simple viscoplastic model N.B. EDS compounds have defined formulations and wellestablished physical properties 1.2 1 0.8 0.6 A.H. Muhr, 2009, pp131-136 in Constitutive Models for Rubber VI, ed Heinrich G et al., publ. CRC press/Balkema. 0.4 0.2 0 0.1 1 Frequency/ Hz 10 100 A viscoplastic model can also be used to model the amplitude dependence. model experimental HR Ahmadi et al, 2008, Rubber Chemistry and Technology, 81(1): 1-18. Scragging (cyclic pre-straining) of rubber changes the measured modulus. This can be approximated with a viscoplastic model if the maximum scragging strain is known. JGR Kingston and A.H. Muhr, 2011, Plastics, Rubbers and Composites, 40(4):161-168 Compliance of rubber diaphragms Pressure volume relation for different diaphragms 0.00006 circular c=30mm annular d=25mm, c=5mm annular d=20mm, c=10mm annular d=15mm, c=15mm annular d=23.5mm, c=5.5mm Volume / m 3 0.00005 0.00004 0.00003 0.00002 0.00001 0 0 50000 100000 150000 200000 Pressure / Pa 250000 300000 350000 2 1.6 1.2 . experimental simulation Pressure difference, Δ p 12 (Bar) The linear equation widely used to model resistance to flow in the inertia track underestimates the resistance and does not include turbulent flow. The resistance to flow is dependent on flow rate which is amplitude dependent. 0.8 0.4 0 0 0.2 0.4 0.6 0.8 Volumetric flow rate, q i (L/s) 1 6 Pressure, p 1 (Bar) 0.6 0.4 0.2 0 -0.2 The Vacuum Effect 4 2 0 -2 0 0.2 0.4 0.6 Time (s) 0.8 1 1.2 0 0.2 0.4 Time (s) 0.6 0.8 • Pressure in the first chamber falls below atmospheric when the mount is excited sinusoidally at frequencies around the peak stiffness. 1.2 0.8 0.4 0 -0.4 5 10 15 20 Frequency (Hz) 2 Pressure, p 1 (Bar) K ' and K '' (kN/mm) Pressure, p 1 (Bar) 0.8 1.5 1 0.5 0 -0.5 -1 0 0.2 0.4 Time (s) 0.6 0.8 • The pressure reaches a plateau when the gases dissolved in the liquid comes out of solution, providing a cushion. K' / Nmm-1 1000 900 Non-linear model results 800 700 600 500 400 300 200 100 0 0 10 20 30 Frequency / Hz 40 50 Concluding Remarks A viscoplastic model for non-linear behaviour of rubber agrees reasonably well with experiment when accounting for the effects of: • Frequency • Strain amplitude • Scragging Resistance to flow: • Good agreement found between experimental measurements and model • Found to be dependent on flow rate The effects of vacuum formation during operation were studied This model for hydromounts can be extended to include adaptive mechanisms such as multiple inertia tracks etc. THE CONSULTANCY UNIT OF THE TUN ABDUL RAZAK RESEARCH CENTRE (TARRC) Thank you Judith Picken Engineering Design Unit jpicken@tarrc.co.uk www. rubberconsultants.com
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