Int J Performability Eng ›› 2017, Vol. 13 ›› Issue (5): 633-642.doi: 10.23940/ijpe.17.05.p8.633642

• Original articles • Previous Articles     Next Articles

Lightweight of Artificial Bone Models Utilizing Porous Structures and 3D Printing

Shengfa Wanga, Lichao Zhoua, Zhongxuan Luoa, Yongxuan Wangb, and Xuanshen Wangc, *   

  1. aDUT-RU International School of Information and Software Engineering, and Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province at Dalian University of Technology, Dalian 116620, China
    bChina Orthopedic laboratory, Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, China
    cSecond Affiliated Hospital of Dalian Medical University, Dalian 116023, China

Abstract: The lightweight of artificial bone models is one of the most important and challenging topics in the precision medicine (individualized medicine), and porous structures are the first choice to achieve the lightweight. This paper presents a porous structure based lightweight framework of artificial bones, and it consists of porous analysis, modeling and optimization of lightweight, and practical validation. Specially, firstly, the triply periodic minimal surface (TPMS) is exploited to design the porous structures of lightweight. Secondly, a modeling of lightweight is constructed according to the stress condition and the geometric analysis, then, an optimal solution of the lightweight model can be obtained using the finite element analysis. Finally, the 3D printing is utilized to manufacture the lightweight models, which will be further used for practical verification and feedback correction. The experiments show that the lightweight bone models not only meet the specified requirements, such as fully-connected porous structures and conditions of external force, but also have obvious advantages in terms of structure stability, lightweight controllability and individual compatibility, which are ideal for the personalized precision medicine.


Submitted on May 1, 2017; Revised on July 8, 2017; Accepted on August 27, 2017
References: 37