Analytical model of the selective cutting mechanism used by ovipositors of sawflies
Verdaguer Mallorqui, M.; Vincent, J. F. V.; Liston, A.; Blagoderov, V.; Desmulliez, M. P. Y.
Show abstract
Sawflies (Insecta: Symphyta) use their ovipositors to incise plant tissue and deposit eggs, a task that demands precise substrate discrimination while preserving both ovipositor and host. How a passive selective mechanical system such as the ovipositor can discriminate between substrates based on material properties without active sensing or control remained until now an open question. This article presents an analytical model of the selective cutting mechanism inspired by sawfly ovipositors. Substrate cutting is shown to depend on an ultimate stress threshold determined by the interaction between blade geometry and substrate properties. The model captures the transition between cutting and ejection as a competition between a failure and an ejection criterion. Morphological modifiers, including serrulae and banding patterns, are shown to influence the ultimate stress threshold and are strongly dependent on both substrate hardness and elastic modulus. The model explains key previously reported observations obtained from prior experimental work that used scaled up biomimetic blades. These findings suggest novel directions in the design of surgical tools required to cut heterogeneous tissues with minimal extraneous damage.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Modal properties of fruit-rachilla system of the macaw palm 94%
- Changes in the three-dimensional microscale topography of human skin with aging impact its mechanical and tribological behavior 94%
- Mechanics of knee meniscus results from precise balance between material microstructure and synovial fluid viscosity 94%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Sensor Fusion Algorithm to Improve Accuracy of Robotic Superposition Testing using 6-DOF Position Sensors 93%
- Optimum Push-off During Uneven Walking for Just-in-Time Strategy; Delayed Push-off Exertion is Mechanically Costly 93%
- Comparison of two different finite element modeling pipelines for virtual mechanical testing of the distal third metacarpal bone in Thoroughbred racehorses 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.