Improvement of Surface Finish by Multiple Piezoelectric Transducers in Fused Deposition Modelling

Additive Manufacturing (AM) which embrace as a new range technology of creating and producing end user parts in term of adding material layer by layer to create solid object from 3D CAD data. AM in particular Fused Deposition Modelling (FDM) used (ABS) thermoplastic have shown the most popular among the industry as its technology can print complex geometrical part without human intervention and tools. However, FDM fierce enemy whereas the common problem of stair-stepping, which means that seam lines appear between layers and excess material if often left as a residue, cause to lead rough surface and poor quality finish. It is often desirable for an AM model to have aesthetic or functional importance. Hence, reducing layer thickness will generally improve surface roughness but will add to the build time for the model. As an interest investigate the use of ultrasonic for FDM, this experiment will focus on the effect of applying multiple piezoelectric transducer for FDM printer. This paper aims to explore the effect use of multiple piezoelectric with different frequency applied (27, 40, 50 kHz) to improve surface finish quality part printed by FDM whereby an ultrasonic transducer firmly attached onto the platform. Optical microscope with the aid of pro VIS software version 2.90 was used to measure the quality of surface roughness of samples printed with vibration in the above stated frequency. Hence, it was found that 1 piezo with 50 kHz frequency applied to the FDM machine achieved improve surface finish due to less layer thickness defect and finer layer thickness produce.

[1]  Luigi Maria Galantucci,et al.  Quantitative analysis of a chemical treatment to reduce roughness of parts fabricated using fused deposition modeling , 2010 .

[3]  Ian Gibson,et al.  Additive manufacturing technologies : 3D printing, rapid prototyping, and direct digital manufacturing , 2015 .

[4]  S. H. Choi,et al.  Modelling and optimisation of Rapid Prototyping , 2002, Comput. Ind..

[5]  R. K. Ohdar,et al.  Parametric appraisal of fused deposition modelling process using the grey Taguchi method , 2010 .

[6]  Antreas Kantaros,et al.  Fiber Bragg grating based investigation of residual strains in ABS parts fabricated by fused deposition modeling process , 2013 .

[7]  Ronglei Sun,et al.  Analysis of Cutting Stability in Vibration Assisted Machining Using Ananalytical Predictive Force Model , 2015 .

[8]  Antonio Armillotta,et al.  Assessment of surface quality on textured FDM prototypes , 2006 .

[9]  Y. S. Liaoa,et al.  Feasibility study of the ultrasonic vibration assisted drilling of Inconel superalloy , 2007 .

[10]  Bharath Vasudevarao,et al.  Sensitivity of Rp Surface Finish to Process Parameter Variation , 2000 .

[11]  Jin,et al.  PROTOTYPE SURFACE MICRO- PRECISION IN FUSED DEPOSITION MODELING PROCESS , 2007 .

[12]  Javad Akbari,et al.  Ultrasonic-assisted drilling of Inconel 738-LC , 2007 .

[13]  Anoop Kumar Sood,et al.  Experimental investigation and empirical modelling of FDM process for compressive strength improvement , 2012 .

[14]  Luigi Maria Galantucci,et al.  Experimental study aiming to enhance the surface finish of fused deposition modeled parts , 2009 .

[15]  Milan Naď,et al.  Ultrasonic horn design for ultrasonic machining technologies , 2010 .

[16]  A. K. Sood,et al.  Improving dimensional accuracy of Fused Deposition Modelling processed part using grey Taguchi method , 2009 .

[17]  A. S. Deshpande,et al.  Studying the effect of chemical treatment and fused deposition modelling process parameters on surface roughness to make acrylonitrile butadiene styrene patterns for investment casting process , 2016 .

[18]  Bibhuti Bhusan Biswal,et al.  Comparative Evaluation of Optimization Algorithms at Training of Genetic Programming for Tensile Strength Prediction of FDM Processed Part , 2014 .

[19]  Hang Tuah Jaya,et al.  FEASIBILITY STUDY OF ULTRASONIC FREQUENCY APPLICATION ON FDM TO IMPROVE PARTS SURFACE FINISH , 2015 .

[20]  Erween Abd Rahim,et al.  A performance of 2 dimensional ultrasonic vibration assisted milling in cutting force reduction, on aluminium AL6061 , 2015 .

[21]  Shuet Fung,et al.  Ultrasonic Assisted Drilling , 2003 .

[22]  Godfrey C. Onwubolu,et al.  Characterization and Optimization of Mechanical Properties of ABS Parts Manufactured by the Fused Deposition Modelling Process , 2014 .

[23]  Seok-Hee Lee,et al.  Representation of surface roughness in fused deposition modeling , 2009 .

[24]  Duc Truong Pham,et al.  A comparison of rapid prototyping technologies , 1998 .

[25]  L. N. López de Lacalle,et al.  Analysis of ultrasonic-assisted drilling of Ti6Al4V , 2009 .

[26]  Massimo Martorelli,et al.  Surface roughness visualisation for rapid prototyping models , 2002, Comput. Aided Des..

[27]  M. Nad’a,et al.  Ultrasonic horn design for ultrasonic machining technologies , 2011 .

[28]  Pascal Mognol,et al.  Predictive Model for Environmental Assessment in Additive Manufacturing Process , 2014 .

[29]  T. Tawakoli,et al.  Influence of ultrasonic vibrations on dry grinding of soft steel , 2008 .

[30]  Pranjal Jain,et al.  ScienceDirect The Manufacturing Engineering Society International Conference , MESIC 2013 Feasibility Study of manufacturing using rapid prototyping : FDM Approach , 2013 .

[31]  Hua Zhang,et al.  Ultrasonic lapping of hypoid gear: System design and experiments , 2013 .