title: Optimal needle design for minimal insertion force and bevel length.
abstract: This research presents a methodology for optimal design of the needle geometry to minimize the insertion force and bevel length based on mathematical models of cutting edge inclination and rake angles and the insertion force. In brachytherapy, the needle with lower insertion force typically is easier for guidance and has less deflection. In this study, the needle with lancet point (denoted as lancet needle) is applied to demonstrate the model-based optimization for needle design. Mathematical models to calculate the bevel length and inclination and rake angles for lancet needle are presented. A needle insertion force model is developed to predict the insertion force for lancet needle. The genetic algorithm is utilized to optimize the needle geometry for two cases. One is to minimize the needle insertion force. Using the geometry of a commercial lancet needle as the baseline, the optimized needle has 11% lower insertion force with the same bevel length. The other case is to minimize the bevel length under the same needle insertion force. The optimized design can reduce the bevel length by 46%. Both optimized needle designs were validated experimentally in ex vivo porcine liver needle insertion tests and demonstrated the methodology of the model-based optimal needle design.
authors: State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, 310027, China; Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA. Electronic address: yanchwang@zju.edu.cn.
authors: Yancheng
authors: Y
authors: Wang
authors: Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
authors: Roland K
authors: RK
authors: Chen
authors: Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
authors: Bruce L
authors: BL
authors: Tai
authors: Department of Radiation Oncology, University of Michigan, Ann Arbor, MI 48109, USA.
authors: Patrick W
authors: PW
authors: McLaughlin
authors: Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA; Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
authors: Albert J
authors: AJ
authors: Shih
mesh_terms: D000465:Algorithms; D000818:Animals; D004867:Equipment Design; D008099:Liver; D055595:Mechanical Phenomena; D008962:Models, Theoretical; D009339:Needles; D013552:Swine
keywords: Genetic algorithm; Insertion force; Lancet; Needle; Optimization