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Process Parameter Effects on Biocompatible Thermoplastic Sheets Produced by Incremental Forming
Marc Sabater1, M Luisa Garcia-Romeu2, Marina Vives-Mestres3
1Department of Mechanical Engineering & Industrial Construction, University of Girona, 17071 Girona, Spain. marc.sabater@udg.edu.
Materials (Basel, Switzerland)
|August 12, 2018
Summary
Incremental Sheet Forming (ISF) optimizes biocompatible polymers like PCL and UHMWPE for custom prosthetics. Process parameters like spindle speed and tool diameter significantly impact forming force and surface roughness.
Area of Science:
- Materials Science and Engineering
- Biomedical Engineering
- Manufacturing Processes
Background:
- Increasing demand for customized medical devices, particularly prosthetics.
- Incremental Sheet Forming (ISF) offers potential for small-batch production of complex parts.
- Limited research on ISF of biocompatible thermoplastic polymers.
Purpose of the Study:
- To investigate the effects of process parameters on the ISF of polycaprolactone (PCL) and ultra-high molecular weight polyethylene (UHMWPE).
- To optimize ISF parameters for the production of customized prostheses using these biocompatible materials.
Main Methods:
- Experimental testing of PCL and UHMWPE using Incremental Sheet Forming.
- Statistical analysis including response surface methodology and survival analysis.
- Evaluation of maximum force, surface roughness, and maximum depth as key outcomes.
Main Results:
- Spindle speed and tool diameter were identified as the most influential parameters for maximum forming force and surface roughness in both PCL and UHMWPE.
- Survival analysis revealed that tool diameter primarily influenced maximum depth in PCL, while spindle speed was more critical for UHMWPE.
Conclusions:
- ISF is a viable technology for processing biocompatible polymers like PCL and UHMWPE for prosthetic applications.
- Optimizing ISF parameters, specifically spindle speed and tool diameter, is crucial for achieving desired part quality and performance.
- Material-specific parameter optimization is necessary for maximizing depth in ISF of PCL and UHMWPE.
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