Open AccessOptimization of FDM 3D Printing Process Parameters on ABS based Bone Hammer using RSM Technique
Author(s) -
Umesh Kumar Vates,
Nand Jee Kanu,
Eva Gupta,
Gyanendra Kumar Singh,
Naveen Anand Daniel,
Bhupendra Prakash Sharma
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/1206/1/012001
Subject(s) - response surface methodology , nozzle , materials science , hammer , deflection (physics) , design of experiments , fused deposition modeling , composite material , infill , structural engineering , process optimization , rapid prototyping , mechanical engineering , engineering drawing , 3d printing , engineering , computer science , mathematics , metallurgy , optics , statistics , physics , machine learning , environmental engineering
Rapid prototyping (RP) uses a cycle where a real model is made by explicitly adding material as thin cross-sectional layers. Fused deposition modelling (FDM) 3D printer is being use for synthesis of ABS based bone hammer. Response surface methodology (RSM) based L27 design of experiment were adopted to perform the experiment using four influencing parameters such as layer thickness, infill percentage, orientation and nozzle temperature for the three responses deflection, hardness and weight. Response surface methodology was used for modelling and optimization of considered process parameters. In present investigation, it is evident that bone hammer fabrication process parameters have been optimized on data such as bone hammer weight 19.8091g, hardness 104.5921 BHN, and force of 15 degree deflection 36.0681 N has been produced with RSM prediction with influence of process parameters such as layer thickness 0.250 mm, infill percentage 63.3333, orientation 60 degree, nozzle temperature 240°C.