Polylactide scaffold fabrication using a novel combination technique of fused deposition modeling and batch foaming: dimensional accuracy and structural properties

2021 ◽  
Author(s):  
Taher Azdast ◽  
Rezgar Hasanzadeh
Keyword(s):  
Structural Properties ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Scaffold Fabrication ◽  
Combination Technique ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Batch Foaming

Investigations for Mechanical Properties of Hybrid Investment Casting: A Case Study

2014 ◽  
Vol 808 ◽  
pp. 89-95 ◽  
Author(s):  
Parlad Kumar ◽  
Rupinder Singh ◽  
I.P.S. Ahuja
Keyword(s):  
Investment Casting ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Casting Process ◽  
Manufacturing Processes ◽  
Biomedical Implant ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Investment Casting Process

Conventional investment casting is one of the old manufacturing processes. It involves expensive tooling for making sacrificial wax patterns to make ceramic moulds. However, with the emergence of rapid prototyping technologies, now it is possible to make and use plastic patterns instead of wax patterns along with some advantages. In this paper, plastic patterns have been prepared by using fused deposition modeling and used for investment casting process. A case study has been discussed to make a biomedical implant by the hybridization of fused deposition modeling with investment casting. Dimensional accuracy, surface finish and hardness of the casted biomedical implants have been tested and reported.

A review of melt extrusion additive manufacturing processes: II. Materials, dimensional accuracy, and surface roughness

2015 ◽  
Vol 21 (3) ◽  
pp. 250-261 ◽  
Author(s):  
Brian N. Turner ◽  
Scott A Gold
Keyword(s):  
Surface Roughness ◽  
Additive Manufacturing ◽  
Product Design ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Design Parameters ◽  
Content Type ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Am Processes

Purpose – The purpose of this paper is to critically review the literature related to dimensional accuracy and surface roughness for fused deposition modeling and similar extrusion-based additive manufacturing or rapid prototyping processes. Design/methodology/approach – A systematic review of the literature was carried out by focusing on the relationship between process and product design parameters and the dimensional and surface properties of finished parts. Methods for evaluating these performance parameters are also reviewed. Findings – Fused deposition modeling® and related processes are the most widely used polymer rapid prototyping processes. For many applications, resolution, dimensional accuracy and surface roughness are among the most important properties in final parts. The influence of feedstock properties and system design on dimensional accuracy and resolution is reviewed. Thermal warping and shrinkage are often major sources of dimensional error in finished parts. This phenomenon is explored along with various approaches for evaluating dimensional accuracy. Product design parameters, in particular, slice height, strongly impact surface roughness. A geometric model for surface roughness is also reviewed. Originality/value – This represents the first review of extrusion AM processes focusing on dimensional accuracy and surface roughness. Understanding and improving relationships between materials, design parameters and the ultimate properties of finished parts will be key to improving extrusion AM processes and expanding their applications.

Fabrication of Hip and Pelvis Part for Designing Acetabular Implant by Using Fused Deposition Modeling (FDM) Machine

2014 ◽  
Vol 875-877 ◽  
pp. 1235-1238 ◽  
Author(s):  
Wan Yusoff Way ◽  
Z.Nur Zawanah ◽  
A.B. Nurshafika ◽  
M.H. Ani ◽  
Y.M. Mustafah
Keyword(s):  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Original Position ◽  
Patient Specific ◽  
3D Image ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
The Right ◽  
Acetabular Implant ◽  
Is Design

The purpose of this research is to fabricate the hip and pelvis part for designing the acetabular implant by using Fused Deposition Modeling (FDM) technique. The methodology of this research is begin by converting the 2D image of CT into 3D image through Invesalius 3.0 software. Then the 3D image is converted to .stl format and exported to FDM machine for fabrication purpose. The finish prototype of 3D biomodel replica is evaluated in order to define the problem face by the patient. Also, the dimensional accuracy is measured between 3D replica model and 3D virtual model. Based on the result of 3D biomodel, the ball joint of the femur on the right side is dislocating from its original position because of the fracture occur on acetabular socket. The implant for acetabular fracture is design by using CATIA software and the design must ensure to be fit with the fracture area. Therefore, this study has contributed to medical area especially in Malaysia in improving patient specific preoperative planning and giving better visualization information of the fracture.

scholarly journals PENENTUAN SETTING OPTIMAL MESIN 3D PRINTER BERBASIS FUSED DEPOSITION MODELING MENGGUNAKAN METODE TAGUCHI

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Anggit Prakasa ◽  
Setya Permana Sutisna ◽  
Anton Royanto Ahmad
Keyword(s):  
Experimental Design ◽  
Taguchi Method ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
High Accuracy ◽  
3D Printer ◽  
Fused Deposition ◽  
3D Printers ◽  
Optimal Setting ◽  
Deposition Modeling

<p>The 3D printers process is applied to create prototype components, but at the last 3D Printers are often applied as last products. So, high accuracy is required in this case. In this research will find the optimal<br />setting of the dimensional accuracy 3D printers based fused deposition modeling. The method used is<br />the Taguchi method, the reason for using this method its efficiency, this is because the Orthogonal<br />Array matrix requires less number of experiments than the classical experimental design. Analysis of<br />Variance is also needed in this method to see the factors that significantly influence the response<br />variable. The results of this study indicate that the factors that significantly influence is printspeed by<br />contributing 53.08%, flowrate contributes 16.4%, and temperature heater block contributes 3.85% and<br />optimal setting is temperature heater block 190º, print speed 60mm/s and flowrate 6.28 mm3/s. (A1,<br />C3 dan D2).</p>

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