
An investigation into Parametric Modelling and FDM based Rapid Prototyping of Lumbar Spine
Author(s) -
H. Manikandan,
S. Anjani Kumar Ojha
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1168/1/012008
Subject(s) - lumbar spine , parameterized complexity , fused deposition modeling , parametric statistics , back pain , rapid prototyping , lumbar , 3d printing , computer science , low back pain , work (physics) , simulation , industrial engineering , medicine , engineering , mechanical engineering , mathematics , surgery , algorithm , statistics , alternative medicine , pathology
Low back pain is the acute problem faced by workforce in the world today. Four out of five adults experience significant low back pain sometimes during their life. Mostly, low back pain problem can only be solved by operations. Each time doctors carrying out operations need to study the patient spine. The objective of the present work is to generate parametric model of lumbar spine using event driven programming approach of Visual Basic 6.0 and CATIA V5 R10. In parametric modelling, the features are parameterized by giving them meaningful labels and relationships between parameters in the entire model rather than giving only fixed numeric values. The output of the developed model is compared with the specimen samples of lumbar spine. Additive manufacturing using FDM (Fused Deposition Modelling) is used for 3D printing the spine model. Thus, the present work will give an insight into additive manufacturing of patient specific model and analyze the outcome before the clinical procedures.