Piercing soft solids: A mechanical theory for needle insertion

TL;DR

This paper develops a mechanical theory for needle insertion into soft solids, modeling the process as a transition between indentation and penetration driven by energy minimization and instability, validated by experiments.

Contribution

It introduces a simplified, energy-based model for needle insertion that predicts the critical force and displacement, extending understanding of soft solid piercing mechanics.

Findings

The model accurately predicts insertion force thresholds.

Needle penetration occurs via a mechanical instability.

The approach can be adapted for different geometries and materials.

Abstract

In this paper we investigate the mechanical problem of piercing a soft solid body with a needle. This phenomenon is controlled by the critical condition of needle insertion. Needle insertion involves physical and geometrical nonlinearities and a complex failure mechanism. To overcome the complexity of the problem, we describe needle insertion as a sharp transition between two needle-specimen configurations, namely "indentation" and "penetration". The sharp configurational change emerges from a mechanical instability and follows the principle of energy minimum. We describe the needle-specimen system in terms of the force applied to the back of the needle and the axial displacement of the needle tip toward the material. At small needle displacements, the energetically favoured configuration is indentation. Conversely, when the needle displaces beyond a critical threshold, it penetrates the specimen by rupturing its surface. This creates a new energetically favoured configuration: penetration. Our analysis considers a cylindrical needle with a spherical tip, neglects friction and adhesion between the needle and the material, and assumes quasi-static conditions. Despite the mathematical simplicity of our analysis, our theoretical predictions on the needle insertion force have been validated against experiments with surprising accuracy. Our method provides an effective predictive tool, which can be extended to account for different indenter geometry and material behaviour.