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Ahmad Zia,Lihong Qiao 대한기계학회 2012 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.26 No.6
In order to facilitate parts assembly in a product structure, different clearances are provided in mating parts. The aim of this research is to investigate role of certain clearances in an assembly structure. These clearances are not part of tolerance stack but still can impart significant impact on product functional performance. Their influence on the product functional parameters like different stresses and deformation is studied in this research. A structure from automotive spot welding equipment is considered for this study. The effect of these clearances is determined using finite element analysis (FEA) simulations for process model of the product. It is found that some clearances are more critical for certain parameters. The results show that the product design can be improved by taking such clearances into consideration during design phase.
Parametric Model Variability of the Proximal Femoral Sculptural Shape
Suzana Petrovic Savic,Branko Ristic,Zoran Jovanovic,Aleksandar Matic,Nikola Prodanovic,Nabil Anwer,Lihong Qiao,Goran Devedzic 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.7
In this paper, a method of parameterisation of a proximal femur model is presented. The created model retains all the anatomical and morphological features of a realistic model. The parametric model of the femur, the so-called master model, is defined by establishing a relation between appropriate femoral regions which extend along the parametrically described axis of the femur. An initial 3D model of the femur is segmented from the CT image and further parameterized to a master model with the potential for customization, i.e. for adaptation to patient-specific values using X-ray images, still maintaining precise anatomical consistency. The first step towards the femur customization is the contour extraction of different types of tissues represented in X-ray images. As medical images can be blurry, image processing was carried out and a Canny edge detector operator was applied. The numerical values of the parameters were determined by manual measuring of defined regions on an X-ray image. The variability testing was performed on 12 femurs. The proposed model can greatly contribute to preoperative planning, implant selection, as well as to the overall shortening of intervention time.