Optimization techniques applied to single point incremental forming process for biomedical application

Single point incremental forming (SPIF) process has the potential to replace conventional sheet forming process in industrial applications. For this, its major defects, especially poor geometrical accuracy, should be overcome. This process is influenced by many factors such as step size, tool diamet...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2018-03, Vol.95 (5-8), p.1789-1804
Main Authors: Sbayti, M., Bahloul, R., BelHadjSalah, H., Zemzemi, F.
Format: Article
Language:English
Subjects:
Biocompatibility
Biomedical materials
CAE) and Design
Coefficient of friction
Computer simulation
Computer-Aided Engineering (CAD
Dental materials
Dentures
Design of experiments
Diameters
Engineering
Evaluation
Exchanging
Forming
Forming techniques
Genetic algorithms
Geometric accuracy
Industrial and Production Engineering
Industrial applications
Mechanical Engineering
Media Management
Multiple objective analysis
Optical measurement
Optimization
Optimization techniques
Original Article
Process parameters
Prostheses
Response surface methodology
Robustness (mathematics)
Surgical implants
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Summary:Single point incremental forming (SPIF) process has the potential to replace conventional sheet forming process in industrial applications. For this, its major defects, especially poor geometrical accuracy, should be overcome. This process is influenced by many factors such as step size, tool diameter, and friction coefficient. The optimum selection of these process parameters plays a significant role to ensure the quality of the product. This paper presents the optimization aspects of SPIF parameters for titanium denture plate. The optimization strategy is determined by numerical simulation based on Box–Behnken design of experiments and response surface methodology. The Multi-Objective Genetic Algorithm and the Global Optimum Determination by Linking and Interchanging Kindred Evaluators algorithm have been proposed for application to find the optimum solutions. Minimizing the sheet thickness, the final achieved depth and the maximum forming force were considered as objectives. For results evaluation, the denture plate was manufactured using SPIF with the optimum process parameters. The comparison of the final geometry with the target geometry was conducted using an optical measurement system. It is shown that the applied method provides a robust way for the selection of optimum parameters in SPIF.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-017-1305-y