3D Printed Soft Robotic Gripper Achieves 2.17" Deflection

Why It Matters

This research demonstrates how advanced modelling techniques, specifically finite element analysis (FEA), coupled with the iterative nature of 3D printing, can be leveraged to design and validate complex soft robotic components. This approach significantly reduces the reliance on traditional, labor-intensive manufacturing methods.

Key Finding

The study successfully designed, modelled, and 3D printed a soft robotic gripper that demonstrated significant deflection and the capability to grasp objects of different sizes and weights.

Key Findings

• A 3D printed soft robotic actuator achieved a deflection of 2.17 inches at a maximum pressure of 15 psi.
• The developed 4-finger gripper prototype successfully lifted objects weighing 4 grams and 100 grams.

Research Evidence

Aim: Can finite element analysis and 3D printing be used to design and fabricate a functional soft robotic gripper with a predictable deflection?

Method: Computational Modelling and Experimental Validation

Procedure: The design process involved using computer-aided design (CAD) to model the soft robotic hand. Finite element analysis (FEA) was then employed to simulate the behavior of the actuator under pneumatic pressure. Based on these simulations, a prototype was 3D printed and assembled. The functionality of the printed gripper was then experimentally tested by measuring its deflection and its ability to lift objects of varying weights.

Context: Soft robotics, additive manufacturing, pneumatic actuation

Design Principle

Predictive simulation and rapid prototyping accelerate the development cycle for complex compliant mechanisms.

How to Apply

Utilize FEA software to simulate the deformation of soft materials under pressure for pneumatic actuators. Use the simulation results to guide the geometry and material selection for 3D printing.

Limitations

The study focused on a single actuator design and a specific set of test objects. The long-term durability and precise control capabilities of the gripper were not extensively explored.

Student Guide (IB Design Technology)

Simple Explanation: By using computer simulations and 3D printing, designers can create and test soft robotic hands that can pick up objects, showing that these methods work well together.

Why This Matters: This research shows how advanced digital tools can be used to create innovative physical products, demonstrating a practical application of simulation and additive manufacturing in design.

Critical Thinking: To what extent can FEA accurately predict the complex, non-linear behavior of soft, elastomeric materials in a pneumatic system, and what are the implications of these predictive limitations on the final design?

IA-Ready Paragraph: The development of a functional 3D printed soft robotic gripper, as demonstrated by Kisner et al. (2018), highlights the efficacy of integrating finite element analysis (FEA) with additive manufacturing. Their research utilized FEA to predict actuator performance under pneumatic pressure, guiding the subsequent 3D printing of a prototype that achieved a significant deflection and successfully manipulated objects, thereby validating the predictive power of the modelling approach.

Project Tips

• Clearly document the CAD modelling process and the parameters used in the FEA.
• Record all experimental results, including pressure inputs, deflections, and successful lifts.

How to Use in IA

• Reference this study when discussing the use of FEA for predicting the behavior of compliant structures or when exploring the benefits of 3D printing for rapid prototyping of novel mechanisms.

Examiner Tips

• Ensure that the link between the FEA simulations and the experimental results is clearly articulated, highlighting any discrepancies and their potential causes.

Independent Variable: Pneumatic pressure input

Dependent Variable: Actuator deflection, lifting capacity

Controlled Variables: Actuator geometry, material properties, printing parameters

Strengths

• Successful integration of computational modelling and physical prototyping.
• Demonstrated functionality with practical applications (lifting objects).

Critical Questions

• What are the limitations of the FEA model in capturing the full range of material behaviors for soft robotics?
• How would changes in material properties or printing resolution affect the achieved deflection and lifting capacity?

Extended Essay Application

• Investigate the optimization of soft robotic actuator design through parametric FEA studies, exploring how varying geometric parameters impacts performance.
• Compare the performance and manufacturing efficiency of 3D printed soft actuators against traditionally molded counterparts.

Source

3D Printed Soft Robotic Hand · Scholar Commons · 2018