Pressure Sensor Findings and Thoughts on Future Work Miguel Piedrahita BDML 5/13/04.

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Pressure Sensor Findings and Thoughts on Future Work Miguel Piedrahita BDML 5/13/04

Pressure Sensor Motivation Normal force information will be useful for climbing May be able to get dynamic signals related to slipping Pressure approach could integrate nicely with dry adhesive pads

Chamber Fabrication Mold #1: Mold for Cavity Insert Completed Cavity Insert (wax or hard urethane) Mold #2: Mold for Membrane Exterior Cavity Insert placed in Mold #2, leaving gap for membrane Membrane cast from soft urethane Mold #3: Mold for sealing off membrane Membrane sealed with layer of hard urethane Finished Chamber

Testing Applied normal force from 0g to 1000g back down to 0g, in 50g increments. Several trials conducted on two different days. Mass

Results Day 1 Day 2

Sensor Performance (Day 2) Sensitivity: 1.06 kPa/N, (1.06 V/N) Accuracy: N, or kPa

Observations Drawbacks to practical implementation –Difficult to fully bleed air from system – affects repeatability –Size of system limited by rather large sensor –Likely not effective for adhesion forces (front feet) Other technologies may be better for normal force measurement –Strain gage –Piezoelectric

Thoughts on Future Work : What do we want from RiSE sensors? Climbing-related information: –Foot impact events –Slip events –Tangential & normal forces on each foot –Measure of penetration of claws/engagement of dry adhesives (i.e. a way to predict likelihood of slip) Surface-related information: Information about climbing surface would be useful! We could then tailor aggressiveness and climbing strategy (claws vs. dry adhesives) accordingly –Inclination –Surface hardness –Roughness

Array of Instrumented “Lamellar Fingers” Force distribution throughout foot – in tension & compression. Useful for evaluating foot design & performance. Surface roughness by comparing deflections Embedded PVDF or strain gage

Why Lamellar Fingers? Good Question! Examine advantage of lamellar structures Work on optimizing geometry for front feet and rear feet –Front feet: Maximize surface contact, minimize stress at edges & Poisson shrinkage –Rear feet: Maximize shear force Solid mechanics, FEA, experiments (RoboToe)