Process parameters influence in additive manufacturing

Additive manufacturing is a rapidly expanding technology. It allows the creation of very complex 3D objects by adding layers of material, in spite of the traditional production systems based on the removal of material. The development of additive technology has produced initially a generation of additive manufacturing techniques restricted to industrial applications, but their extraordinary degree of innovation has allowed the spreading of household systems. Nowadays, the most common domestic systems produce 3D parts through a fused deposition modeling process. Such systems have low productivity and make, usually, objects with no high accuracy and with unreliable mechanical properties. These side effects can depend on the process parameters. Aim of this work is to study the influence of some typical parameters of the additive manufacturing process on the prototypes characteristics. In particular, it has been studied the influence of the layer thickness on the shape and dimensional accuracy. Cylindrical specimens have been created with a 3D printer, the Da Vinci 1.0A by XYZprinting, using ABS filaments. Dimensional and shape inspection of the printed components has been performed following a typical reverse engineering approach. In particular, the point clouds of the surfaces of the different specimens have been acquired through a 3D laser scanner. After, the acquired point clouds have been post-processed, converted into 3D models and analysed to detect any shape or dimensional difference from the initial CAD models. The obtained results may constitute a useful guideline to choose the best set of the process parameters to obtain printed components of good quality in a reasonable time and minimizing the waste of material.

[1]  Ming-Chuan Leu,et al.  Additive manufacturing: technology, applications and research needs , 2013, Frontiers of Mechanical Engineering.

[2]  Harry Bikas,et al.  Additive manufacturing methods and modelling approaches: a critical review , 2015, The International Journal of Advanced Manufacturing Technology.

[3]  Jozef Živčák,et al.  A Comparison of the Outputs of 3D Scanners , 2014 .

[4]  Xianglu Dai,et al.  Constitutive parameter identification of 3D printing material based on the virtual fields method , 2015 .

[5]  Davide Tumino,et al.  Numerical study of the components positioning influence on the stability of a reverse shoulder prosthesis , 2012 .

[6]  Tommaso Ingrassia,et al.  Virtual prototyping of a new intramedullary nail for tibial fractures , 2013 .

[7]  Tommaso Ingrassia,et al.  DESIGN OPTIMIZATION AND ANALYSIS OF A NEW REAR UNDERRUN PROTECTIVE DEVICE FOR TRUCK , 2010 .

[8]  Davide Tumino,et al.  Contact between the components of a knee prosthesis: Numerical and experimental study [Contatto tra i componenti di una protesi di ginocchio: Studio numerico e sperimentale] , 2012 .

[9]  Alberto Boschetto,et al.  Accuracy prediction in fused deposition modeling , 2014 .

[10]  Donatella Cerniglia,et al.  Detection of Disbonds in Multi-layer Structures by Laser-Based Ultrasonic Technique , 2008 .

[11]  T. Ingrassia,et al.  Optimal positioning of the humeral component in the reverse shoulder prosthesis , 2014, MUSCULOSKELETAL SURGERY.

[12]  Davide Tumino,et al.  A multi-technique simultaneous approach for the design of a sailing yacht , 2017 .

[13]  Nenad Drvar,et al.  The assessment of structured light and laser scanning methods in 3D shape measurements , 2003 .

[14]  Nigrelli,et al.  Methodical Redesign Of A Semitrailer , 2005 .

[15]  Antonio Lanzotti,et al.  On the Geometric Accuracy of RepRap Open-Source Three-Dimensional Printer , 2015 .

[16]  Alberto Boschetto,et al.  Design for manufacturing of surfaces to improve accuracy in Fused Deposition Modeling , 2016 .

[17]  Antonio Lanzotti,et al.  Understanding Process Parameter Effects of RepRap Open-Source Three-Dimensional Printers Through a Design of Experiments Approach , 2015 .

[18]  C. Chua,et al.  Effects of layer thickness and binder saturation level parameters on 3D printing process , 2011 .