International Journal of Mechanics and Applications

p-ISSN: 2165-9281    e-ISSN: 2165-9303

2021;  10(1): 11-19

doi:10.5923/j.mechanics.20211001.02

Received: Mar. 18, 2021; Accepted: Mar. 29, 2021; Published: Apr. 2, 2021

 

Employing a Low-Cost Desktop 3D Printer: Challenges, and How to Overcome Them by Tuning Key Process Parameters

Kantaros Antreas, Dimitrios Piromalis

Department of Industrial and Product Design Engineering, University of West Attica, Greece

Correspondence to: Kantaros Antreas, Department of Industrial and Product Design Engineering, University of West Attica, Greece.

Email:

Copyright © 2021 The Author(s). Published by Scientific & Academic Publishing.

This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/

Abstract

3D printing has been referred as being the third industrial revolution and was introduced as an innovative fabrication method in order to overcome shortcomings of existing prototyping fabrication techniques. This method involved the forthright fabrication of three-dimensional solid objects derived from a digital CAD file. The advancements in additive manufacturing technology in combination with the expiration of several patents led to the dramatic reduction of 3D printing equipment purchasing and usage costs thus making the technology available to wide masses. However, due to the modus operandi of the additive process, that functions in a layer to layer building principle, technical expertise is needed to properly operate such devices. Therefore, several parameters have to be carefully tuned and a certain level of expertise is required in order to accomplish the desired printing results. In addition, the newly introduced FFF lower-end desktop 3D printers suffer more from these disadvantages and therefore limit users to intermediate or unsatisfactory printing results. This article looks into 3D printing challenges while stressing the contribution of key process parameters in printing results. Different process parameter settings are tested, depicting the differences in printing quality, while optimal parameter settings are being proposed.

Keywords: 3D printing, Desktop 3D printer, Process parameter setting, 3D printing quality, 3D printing challenges, FFF 3D printer

Cite this paper: Kantaros Antreas, Dimitrios Piromalis, Employing a Low-Cost Desktop 3D Printer: Challenges, and How to Overcome Them by Tuning Key Process Parameters, International Journal of Mechanics and Applications, Vol. 10 No. 1, 2021, pp. 11-19. doi: 10.5923/j.mechanics.20211001.02.

1. Introduction

Twenty first century markets demand the constant evolution of presently existing products. Multinational companies alongside with innovative small and medium-sized enterprises (SMEs), try to offer constantly optimized merchandise according to the continuously altering consumer needs. In addition, local maker communities try to find cheap and accessible methods that will allow them to fabricate items and functional parts for their individual projects. Thus, the needs for minimizing product development time and the introduction of affordable and attainable fabrication methods stand stronger than ever. The importance of prototyping, especially in the development of high novelty products has been extensively reported in the literature [1,2]. However, pre-existing prototype manufacturing methods are extremely time consuming and resulting prototypes serve mostly visual purposes and cannot serve as functional prototypes. Furthermore, hobbyists and DIY makers often have to deal with expensive tooling and complicated manufacturing techniques that cannot be afforded or they require a degree of expertise [3] that cannot be acquired easily.
In the direction of overcoming such limitations, an innovative manufacturing method was introduced. This method involved the forthright fabrication of three-dimensional solid objects derived from a digital CAD file. This was made possible by employing additive manufacturing techniques. There, the consecutive deposition of melted material layers leads to the final creation of an actual physical object. This technology is also known under the term “3D Printing” and offers the potential to swiftly transform an existing CAD design to a real-world physical object. This is made possible without the presence of expensive molds and industrial tooling infrastructure. It was invented in 1986 by Charles Hull who coined the term “Stereo Lithography”, which was the name of this first 3D printing technique. In 1992 the first commercially available 3D Printer was introduced by the company “3D Systems”. Technological breakthroughs in the field of desktop computers and the rising availability of industrial lasers led to the introduction of many new 3D printing processes in the late 1980s and 1990s. These, considered techniques like selective laser sintering and fused deposition modelling. At a first glance, 3D printing methods offer designers the potential to come up with 3D designs and fabricate them in a timely and inexpensive manner. Thus, a design can be reevaluated and modified leading to the desired item. In this way, hobbyists and DIY makers are now given the necessary tool that can turn their designs into physical parts, cheaply and fast [4]. 3D printing techniques are also described as “the new industrial revolution” [5,6].
However, 3D printing did not come without shortcomings. The most important drawbacks were the high acquisition and usage costs along with the amount of technical expertise needed to properly operate such devices. Especially aircraft and automotive enterprises, who were the pioneers of 3D printing to perform prototyping operations, blamed the high cost of using this technology for having kept the practice from going mainstream until the late 2000s [7]. Nowadays, thirty years after the first 3D printer introduction, most of these limitations have been overcome. The main reasons for this evolution are the introduction of contemporary and enhanced 3D printing technologies, new materials, government funding, perpetually expanding application fields accompanied by raised user awareness of the 3D printing advantages upon conventional manufacturing methods like injection molding and CNC [8]. Moreover, the expiration of several patents in 3D printing over the current and following years is expected to give further boost in the growth of 3D printing market. The impact of this technology continues to grow due to its even deeper penetration in various fields and also in means of a continuously growing number of people using it worldwide in the direction of self-employing a 3D printer in almost every household of the developed world in the next decade [9,10].
With this in mind, the introduction of low-cost desktop 3D printers in the current decade is immense. Buyers can choose from a vast range of such printers ranging from 300$ - 1000$. In most cases, these printers have turned into full commercial products as they are being sold in big department stores, come fully assembled, are well packaged and accompanied with manuals and starters’ kits. They mostly employ FDM technology and give users the ability to use various materials like PLA and ABS in different colors and sometimes by using more than one extruder.
Albeit the fact that the launch of such a 3D printers’ range brings this technology closest to the masses, the utilization of these printers by users does not come without a number of important challenges. In many cases, low cost 3D printers do not come preassembled and are sold in the form of DIY kits that users cannot easily assemble without prior mechanical competence and knowledge. Printing quality results is another big issue, as in many cases they are intermediate or poor leading to the rejection of the printed part. The selection of the proper material for different printing projects is another matter of contention for the users, since different materials have different properties and are not always suitable. Calibration of the printer’s extruder head is also another arduous matter for the users since in most cases it is conducted manually and it is a rather demanding and time-consuming process with doubtful results.
Despite the aforementioned challenges, the biggest challenge faced by low cost desktop 3D printer users is the proper setting of several process parameters, prior to printing, that have immense impact on the overall quality and mechanical behavior of the 3D printed part. These process parameters have to do with layer thickness, extruding temperature, printing speed, retraction distance etc. Unfortunately, the correct setting of these parameters is a rather difficult task for the end-user because the significance of every parameter and their interaction cannot be easily evaluated. Correspondingly, failed prints cause frustration and raise skepticism about 3D printing on user communities. Failed prints may occur for a number of reasons. Motor stall, nozzle blockage, bearing failure, timing belt break, abnormal extrusion and 3D Printed item detaching from the platform are some of the reasons reported for failed 3D Prints [11]. Failed prints are estimated to cause a material waste of around 19% according to the literature [12]. The total percentage of the material wasted in FDM 3D Printing processes is estimated to be 34%, adding the material used for the support structures as well [12].

2. Challenges and Process Parameters

The additive manufacturing process principles that the majority of low-cost desktop 3D printers work under, are derived from the Fused Deposition Modelling (FDM) technology and this technique is now known under the term Fused Filament Fabrication (FFF) [13]. FFF is a layered manufacturing technology that fabricates parts of complex geometry by the layering of extruded materials such as Acrylonitrile–Butadiene–Styrene (ABS), Poly-Lactic-Acid (PLA) and Polyethylene-Terephthalate- Glycol (PETG) thermoplastics. The material is initially in the form of a flexible filament which is then melted and extruded through a heated nozzle in a prescribed road pattern onto a continuously moving platform bed in a layer by layer basis [14]. The basic components of a desktop FFF 3D Printer are depicted in figure 1.
Figure 1. Basic components of a desktop FFF 3D Printer
Despite the major advantages of this technology over injection molding and machining/subtractive technologies, there is also a number of challenges met. These issues mainly come up due to the layer by layer building principle that characterizes 3D printing techniques. The deposited material (individual material rasters) cools and while it solidifies, bonds with the neighboring material. Figure 2 depicts the bonding between the material rasters of the same layer and of neighboring layers, which is driven by the thermal energy diffusion of the melted material.
Figure 2. Material deposition in FFF 3D printing technique
Under those circumstances, heating and rapid cooling cycles of the deposited material trigger non-uniform thermal gradients and lead to stress build-up. In this way, part distortions and dimensional inaccuracy phenomena appear in the 3D printed parts. Figure 3 shows a rectangular 3D printed beam made out of ABS suffering from warpage due to stress build-up. The dimensional inaccuracy is evident, leading the part to rejection.
Figure 3. Warping of 3D printed part due to stress build-up
Researchers have concluded that targeted tuning of selected 3D printing process parameters can lead to the limitation of the aforementioned phenomena [15-18] and increase dimensional accuracy as well [19]. Lee et al. [20] mention that primary layer height, internal fill pattern and infill percentage influence the elastic performance of ABS parts manufactured by 3D printing. Pandey et al. [21] point out that internal fill pattern is an important process parameter with significant role to part strength, external finish, build time and cost in 3D printing. Similarly, Bharvirkar et al. [22] have shown that internal fill pattern within individual layers influence part strength along with the coefficient of thermal expansion of the part.
Layer height (also referred as layer thickness) is one of the most important process parameters in 3D printing. Vasudevarao et al. [23] indicated that layer thickness has significant effect on the roughness of parts fabricated via 3D printing processes. It is measured in millimeters and stands for the height that each deposited material layer has. In low cost desktop 3D printers, users can select layer height values ranging from 0.1mm – 0.4mm for a selected nozzle with 0.4mm diameter. Since the target is to fabricate a printed part with a smooth external surface, a lower layer height value is usually preferred. Low layer height values are also chosen in order to deal with the so called “staircase” effect [24-25]. Staircase effect refers to the phenomenon where a predesigned curved surface cannot be accurately attributed in the 3D printed part. As the part is built in a layer by layer way, shrinkage of prior layers causes geometrical inaccuracies around the current layer that “drags” the layers below to shrink as well. However, while a low layer height value greatly reduces the aforementioned phenomenon, it results in raised printing times as the printed part consists of an elevated number of layers. Figure 4 depicts the staircase phenomenon through a schematic representation.
Figure 4. Inaccurate attribution of the initial design due to staircase effect
Infill percentage is also a process parameter of great importance in 3D printing. The term “infill percentage” refers to the percentage of material presence in the interior of the part describing how hollow or solid the interior of the part is. Alvarez et.al. [26] stress the influence of infill parameter on the mechanical resistance in 3D printing. A value of zero percent (0%) implies a completely hollow part while a value of a hundred percent (100%) implies a completely solid part. A low infill value results in lower printing time and cost due to the less material printed in order to fabricate the part. On the other hand, a low infill value results in poor mechanical behavior characteristics. As a result, users must make the choice depending on the purpose that the part should meet. Parts that should exhibit advanced mechanical behavior must be printed with a high infill percentage while parts that should be printed fast without having to meet the aforementioned requirements, can be printed with lower infill percentage.
A parameter with equally high importance to the printing results, is printing speed. The term “printing speed” refers to the speed that the extruder achieves while it deposits printing material. It is measured in millimeters per second (mm/sec) and most low-cost desktop 3D printers can achieve a maximum printing speed of about 100 mm/sec. A lower printing speed implies that the extruder head will require a larger time interval in order to deposit the material needed for the printing process. On the contrary, a lower printing speed usually leads to better printing results because the extruder head is given the time needed to attribute complex design patterns. Given these points, the selection of printing speed is a compromise between fabrication time and printing quality [24,25,27].
Similarly, shell thickness is another parameter that greatly influences the external printing quality of the part [19]. The term “shell thickness” refers to the number of external solid shells printed in the exterior surfaces of the part. Users can choose the numbers of top surface shells, bottom surface shells and outline/perimeter shells. A higher number of selected shells results in smoother external finish and it is advised especially in the cases where a lower infill percentage is selected. At the same time, a higher number of selected shells results in raising printing times while positively contributing to part strength [22].
In like manner, printing temperature is an equally significant parameter in the printing process. The term “printing temperature or extruder temperature” refers to the temperature setting of the heated extrusion nozzle of the printer and it is measured in degrees Celsius (°C). Different materials demand different settings according to their melting temperature. For example, ABS material should be extruded in the temperature range of 230°C - 250°C (melting temperature 210°C - 240°C) while PLA should be extruded in the temperature range of 190°C - 220°C (melting temperature 160°C - 190°C). Printing temperature should be equal or slightly higher to the melting temperature of the extruded material in order to accomplish optimal rheological characteristics and avoid clogged nozzle phenomena.
Equally important is the contribution of a parameter known as retraction. If retraction is enabled, the material will be reversely dragged into the nozzle, when the extruder completes printing one section of the part in order to prevent stringing/oozing phenomena. When printing procedure continues, the material will be forwarded again into the nozzle so that it once again begins to be extruded from the nozzle tip. Retraction is measured in millimeters (mm) and in 3D printers using direct-drive extruders, a value of 0.5mm - 2.0mm is sufficient while in 3D printers using Bowden extruders a value of 7mm – 15mm might be needed to be set. Proper setting of this parameter results in improved part external surface quality. Figure 5 sums up the aforestated process parameters in the 3D printing procedure.
Figure 5. 3D printing process parameters with immense contribution in the printing results
A parameter of paramount importance is the placement of support structures in the printed part. These structures are printed simultaneously with the part and function as a structure that hold up against steep overhangs and cantilevered sections in the printed part. Supports are usually generated by the dedicated 3D printer’s software, prior to printing and must be fabricated in such a way that allows the user to easily remove them. Dual extruder 3D printers can use their second extruder to fabricate supports using water, or other solvent, dissolvable supports. In contrast, single extruder 3D printers are limited in printing supports of the same material as the one used for the fabrication of the printed part. This makes the support removal a difficult task for the user who, however, has the ability to choose low or thick support density structures. Low density support structures are easier to remove, then again provide less supporting capability.

3. Results of Process Parameter Setting

In order to make a brief demonstration of the aforementioned process parameter setting contribution to a 3D printed part, a part was designed and fabricated in an FFF 3D printer. For this reason, the part was printed twice with different process parameter settings in order to depict possible variations in printing quality. The first part (hereafter referred as part A) was fabricated selecting the proper settings while the second part ((hereafter referred as part B) was fabricated with deliberately selecting inappropriate settings, like an inexperienced user would possibly do.
The part chosen, is a gear component derived from a larger mechanical assembly. It was designed using Dassault SolidworksTM 3D CAD Software. The file was exported in stl format and forwarded to the 3D Printer’s “XYZ Ware for Pro” dedicated slicing software. The 3D printer used for the printings was a Da Vinci 1.0 Pro 3in1 printed manufactured from XYZprinting, Inc. with a purchase cost under 1000$ and the material used in both printings was red colored ABS in flexible filament form. Figure 6 shows the gear right after its design completion procedure before being exported in stl format.
Figure 6. Gear part upon its design completion in the CAD software
Parameter setting for the printing Part A was conducted, as prior mentioned, in order to achieve the best possible printing quality. Therefore, layer height was set to the minimum available setting (0.1mm), infill percentage was set to 50% and a low printing speed of 40mm/sec was also selected. Similarly, shell thickness was achieved by selecting a sufficient number of top surface (3), bottom surface (3) and outline/perimeter (3) shells while printing temperature was set to 245°C and retraction was set at 7mm. Infill percentage was set to 50% in both cases in order to provide a similar material substrate for the external surface variations to be depicted.
On the other hand, parameter setting for the printing Part B was conducted, as prior mentioned, in order to simulate the possible choices of an inexperienced user that would lead to poor/intermediate printing quality. Therefore, layer height was set to the maximum available setting (0.3mm), while a high printing speed of 80mm/sec was also selected. Similarly, shell thickness values were set to a number of top surface (1), bottom surface (1) and outline/perimeter (1) shells while printing temperature was set to 220°C and retraction was set at 2mm. The support generation was disabled in both part fabrication since the lack of support need was evident for the specific part design. Process parameter settings for both parts A and B are stated in table 1.
Table 1. Process parameter settings for Parts A and B
     
After the parameter setting, the parts were virtually sliced by the 3D printer’s dedicated slicing software as showed in figure 7 and then fabricated in two separate prints as shown in figures 8a and 8b.
Figure 7. Slicing process upon process parameter setting completion
Figure 8. (a): Part printing during first layer, (b): Printed part completed
The parts created by the two 3D prints exhibited variations in external surface printing quality as a result of the deliberate different process parameter setting. Part A featured a fine surface finish due to the low layer height and high shell values selected. Infill percentage, printing speed, printing temperature and sufficient retraction settings also greatly contributed towards these results. The aforementioned findings are depicted in figure 9.
Figure 9. Parts A & B from left (part A) to right (part B) exhibiting variations in surface quality
In contrast, part B featured a poor surface finish due to the high layer height and low shell values selected, while elevated printing speed limited the correct attribution of the design details. In the same way low printing temperature triggered faster material solidification which in conjunction with insufficient retraction settings promoted unwanted stringing/oozing phenomena.

4. Optimal Parameter Settings Proposal

In this section, authors would like to propose three different sets of 3D Printing process parameter settings leading to different scenarios. All scenarios will lead to acceptable 3D Printing results; however, they will be targeted to specific demands like time for the completion of the 3D Printing job, part strength and surface quality. The first group of settings has to do with achieving the fastest possible 3D Printing job, the second group of settings with the achievement of maximum part strength while the third group of settings will be targeted towards achieving increased surface quality. Each set of process parameters’ settings will be presented via a flow chart where the user should follow certain steps while re-evaluating his decisions towards reaching the optimal results.
The first group of proposed parameters has to do with achieving a fast 3D Printing job while maintaining an acceptable aesthetical result for the fabricated item. Printing speeds in the range of 50-80 mm/sec are considered to be on the high end of the maximum FFF 3D Printers’ speeds but are considered to still provide sufficient part surface quality. Increased layer height along lower infill percentage and shell thickness values lead to faster 3D Printing completion times. Figure 10 depicts the proposed group of settings via a flow chart.
Figure 10. Proposed group of process parameter settings for achieving reduced 3D Printing time
The second group of proposed parameters has to do with achieving an elevated part strength while maintaining an acceptable aesthetical result for the fabricated item. Reduced layer height and speed are reported to lead to advanced part mechanical properties such as flexural [23,27] and tensile strength [18,28,29]. Similar contribution is reported for using elevated infill percentage and shell thickness values [21,22,26,30]. Figure 11 depicts the proposed group of settings via a flow chart.
Figure 11. Proposed group of process parameter settings for achieving increased part strength
The third group of proposed parameters has to do with achieving advanced surface quality directly linked with an acceptable aesthetical result for the fabricated item. Lower printing speed and layer height values as well as increased shell thickness values contribute towards the accurate attribution of the designed geometry by minimizing unwanted phenomena like the staircase effect [24-25]. Figure 12 depicts the proposed group of settings via a flow chart.
Figure 12. Proposed group of process parameter settings for advanced surface quality

5. Discussion

The end-users of FFF category 3D Printers have to make a proper parameters’ setting in order to achieve the desired part printing quality. At the same time, printers of this category often are provided with limited capability processing/slicing software that does not offer many options regarding process parameter setting. Thus, users cannot surpass this inefficiency and end up with poor, or in best case intermediate, printing quality and printed parts that do not match the desired standards. Although this may be true, users can betake to other slicing software packages that are compatible with a broad range of FFF 3D Printers. Such slicing software packages offer the tuning ability of a great number of process parameters, thus, provide a greater potential for a good quality 3D Printing Job to be achieved.
More specifically, such slicing software packages can be found and downloaded online. During the setup process the user is prompted to choose the 3D Printer model he uses in order for the software to be configured accordingly. Upon the completion of the setup process, the slicing software provides some initial, basic, process parameters’ profiles that are tested to offer acceptable quality prints. Such profiles can have names like “fast”, “medium” and high”, referring to auto-configurations for print quality in relation to printing speed. The user is also prompted to choose printing materials (PLA, ABS, PETG etc.) in order for the software to tune the temperature process parameter accordingly. However, apart from these initial, basic, process parameters’ profiles, users can choose to use the “advanced” configurations in order to further tune a large number of process parameters that may lead to greater quality prints. Such slicing software packages can be found available online, free of charge (CuraTM, Slic3rTM etc.) [31,32] or at a relatively low cost (Simplify 3DTM) [33].
However, all the aforementioned information relate to what can be achieved from the slicing software’s side. Another equally important aspect is the 3D Printer’s hardware condition. For example, a hardware parameter of paramount importance is the proper platform/nozzle distance calibration. The nozzle has to be set in a specific distance in relation with the platform in order to achieve the proper rheological material flow. Higher distance is linked with material detaching from the platform while shorter distance is linked with reduced nozzle flow that can lead to clogging phenomena. This can be depicted in figure 13 where (a) shows a proper calibrated 3D Printer hardware leading to good quality print, while (b) and (c) show printing result where the nozzle is not calibrated properly in accordance with the platform (greater distance for “b” and shorter distance for “c”).
Figure 13. Varied quality 3D prints, related with the proper nozzle/platform calibration
Other hardware parameters may have to do with proper axes and linear bearings proper lubrication as well as timing belt proper tightening actions and platform cleaning.

6. Conclusions

The aim of this article is to look into the printing results challenges that the users of a low-cost desktop 3D printer might possibly face and to investigate how to overcome them by tuning selected process parameters with immense contribution to the printing quality characteristics. 3D printing was initially introduced in order to overcome limitations in prototype fabrication. However, the maturation of this technology made it capable of producing end-use products and accessible to a continuously growing number of enterprises and individual users. Especially in the last years, the introduction of a reasonably priced, low cost, desktop FFF 3D printer range made the them really affordable for anyone to purchase.
Yet, this technology was not freed from shortcomings. FFF 3D printers require a substantial user expertise in order to function properly and achieve the desired results. The maturation of 3D printing technology led to the simplification of the printing preparation process that, however, still demands a certain degree of process parameter contribution understanding to achieve an acceptable final printing result. In this context, process parameters that affect printing results are being thoroughly described in this article. To the authors’ opinion, layer height, infill percentage, printing speed, shell thickness, printing temperature, retraction and supports existence have immense contribution towards achieving desired printing results. The role of each parameter is discussed and a process parameter setting range is suggested in order to accomplish different demands like reduced 3D Printing time, increased part strength and advanced surface quality.
In order to depict the possible part quality variations caused by different process parameter settings, a mechanical part design was selected to be printed in a low-cost desktop 3D printer whose purchase cost was under 1000$. The part was printed twice, with different process parameter settings each time. The differences on the 3D printing results were evident and indicative of the different settings followed, regarding aspects like part surface quality. However, different 3D Printing demands like reduced 3D Printing time, advanced part strength and advanced surface quality, dictate differentiated process parameter settings.
In this context, this paper proposes three different groups of process parameter settings according to the aforementioned 3D Printing demands that are quite common among the 3D Printers’ end-users. By presenting a flow chart for each separate demand scenario, specific process parameter values are proposed within a specific value range. This range was selected taking into account small hardware variations between the FFF 3D Printers that might be used. In the end of each flow chart, users are encouraged to self-assess the results of the printing job and perform any parameter alteration within the values’ range proposed.
However, often the slicing software packages that accompany FFF 3D Printers offer limited process parameter tuning choices. Therefore, users tend to migrate towards other, universal, slicing software packages that offer a broader choice of process parameter options to be tuned in order to achieve good quality prints. While this is, undoubtedly, a step towards improvement, users must spent a fair amount of time in order to understand each process parameter’s contribution to the part end-quality as well the possible interaction between them.
In conclusion, the role of process parameters is substantial towards achieving successful 3D prints in the lower end of desktop FFF 3D Printers. The proper tuning of the aforementioned parameters is an important step towards overcoming challenges that raise some degree of skepticism and discourage users from adopting low-cost desktop 3D printers.

References

[1]  Elverum, C.W., and Welo, T., 2015, On the use of directional and incremental prototyping in the development of high novelty products. Journal of Engineering and Technology Management 38C, 71-88. http://dx.doi.org/10.1016/j.jengtecman.2015.09.003.
[2]  Rayna, T., Striukova L., and Darlington, J. 2015, Co-creation and user innovation: The role of online 3D printing platforms. Journal of Engineering and Technology Management 37C, 90-102. http://dx.doi.org/10.1016/j.jengtecman.2015.07. 002.
[3]  Lettl, C., 2007, User involvement competence for radical innovation. J Journal of Engineering and Technology Management 24, 53-75. http://dx.doi.org/10.1016/j.jengtecman.2007.01.004.
[4]  Kietzmann, J., Pitt, L., and Berthon, P., 2015. Disruptions, decisions, and destinations: Enter the age of 3-D printing and additive manufacturing. Business Horizons 58, 209—215. https://doi.org/10.1016/j.bushor.2014.11.005.
[5]  Berman, B., 2012, 3-D printing: The new industrial revolution. Business Horizons 55(2), 155—162. http://dx.doi.org/10.1016/j.bushor.2011.11.003.
[6]  Economist, 2012, A third industrial revolution. The Economist Newspaper Limited, London. Available at: http://www.economist.com/node/21552901.
[7]  Brean, D.H., 2013, Asserting patents to combat infringement via 3D printing: it's no ‘use’. Fordham Intellect. Prop. Media Entertain. Law J. 23 (3), 771–814. http://dx.doi.org/10.2139/ssrn.2088294.
[8]  3D printing market to grow 23% annually. 2014. Metal Powder Report, 69(1): 42, http://dx.doi.org/10.1016/j.mprp.2016.10.011.
[9]  3D Printing and Additive Manufacturing State of the Industry, Annual Worldwide Progress Report, Wohlers Report. 2019. Wohlers Associates, Inc., Fort Collins, Colorado 80525 USA, ISBN 978-0-9913332-5-7.
[10]  Kostakis, V., and Papachristou, M., 2014, Commons-based peer production and digital fabrication: The case of a RepRap-based, Lego-built 3D printing-milling machine. Telematics and Informatics 31, 434–443. http://dx.doi.org/10.1016/j.tele.2013.09.006.
[11]  Liao, J., et.al., 2019, Preliminary Study on Fault Diagnosis and Intelligent Learning of Fused Deposition Modeling (FDM) 3D Printer. 14th IEEE Conference on Industrial Electronics and Applications (ICIEA), Xi'an, China, 2098-2102, doi: 10.1109/ICIEA.2019.8834376.
[12]  Song, R., et.al., 2016, Material waste of commercial FDM printers under realistic conditions. Proceedings of the 26th Annual International Solid Freeform Fabrication Symposium.
[13]  Haryńska, A., et.al., 2020, A comprehensive evaluation of flexible FDM/FFF 3D printing filament as a potential material in medical application. European Polymer Journal, 138, 109958. https://doi.org/10.1016/j.eurpolymj.2020.109958.
[14]  Krishnanand. Z.Z., Shivam. S., and Taufik. M., 2020, Design and assembly of fused filament fabrication (FFF) 3D printers. Materials Today: Proceedings. https://doi.org/10.1016/j.matpr.2020.08.627.
[15]  Kantaros, A., and Karalekas, D., 2013, Fiber Bragg grating based investigation of residual strains in ABS parts fabricated by fused deposition modeling process. Materials and Design 50, 44–50. http://dx.doi.org/10.1016/j.matdes.2013.02.067.
[16]  Sood, A.K., Ohdar, R.K., and Mahapatra, S.S., 2009, Improving dimensional accuracy of Fused Deposition Modelling processed part using grey Taguchi method. Materials and Design 30, 4243–4252, http://dx.doi.org/10.1016/ j.matdes.2009.04.030.
[17]  Sood, A.K., Ohdar, R.K., and Mahapatra, S.S., 2010, Parametric appraisal of mechanical property of fused deposition modelling processed parts. Materials and Design 31, 287–295, 2010. http://dx.doi.org/10.1016/j.matdes.2009.06.016.
[18]  Es-Said, O. S., et.al., 2000, Effect of Layer Orientation on Mechanical Properties of Rapid Prototyped Samples. Materials and Manufacturing Processes, 15(1), 107-122. http://dx.doi.org/10.1080/10426910008912976.
[19]  Boschetto, A., and Bottini, L., 2016, Design for manufacturing of surfaces to improve accuracy in Fused Deposition Modeling. Robotics and Computer-Integrated Manufacturing 37, 1357, 103-114. http://dx.doi.org/10.1016/j.rcim.2015.07.005.
[20]  Lee B., Kim S., Kim H., and Ahn S., 2007, Measurement of anisotropic compressive strength of rapid prototyping parts. Journal of Materials Processing Technology 187–188: 627–630. http://dx.doi.org/10.1016/j.jmatprotec.2006.11.095.
[21]  Pandey P.M., Venkata Reddy, N., and Dhande, S.G., 2007, Part deposition orientation studies in layered manufacturing. Journal of Materials Processing Technology 185, 125-231. http://dx.doi.org/10.1016/j.jmatprotec.2006.03.120.
[22]  Bharvirkar, M., Nguyen, P., and Pistor, C.M., 1999, Thermo-mechanical analysis of parts fabricated via fused deposition modeling (FDM). In: Proceedings of SFF symposium: 343–350, University of Texas at Austin.
[23]  Vasudevarao, B., Natarajan, D. P., Razdan, A., and Mark, H., 2000, Sensitivity of RP surface finish to process parameter variation. In: Solid free form fabrication proceedings, The University of Texas, Austin, 252-258, http://dx.doi.org/10.26153/tsw/3045.
[24]  Ollison, T., Berisso, K., 2010. Three-Dimensional Printing Build Variables That Impact Cylindricity. J. Ind. Technol. 26(1).
[25]  Wenbin, H., Tsui, L.Y., Haiqing, G., 2005. A study of the staircase effect induced by material shrinkage in rapid prototyping. Rapid Prototyping Journal, Vol. 11 (2), pp.82– 89. http://dx.doi.org/10.1108/13552540510589449.
[26]  Alvarez, C., et.al., 2016, Influence of infill parameter on the mechanical resistance in 3D printing, using the Fused Deposition Modeling method. Ingeniare. Revista chilena de ingeniería, 24 (Especial), 17-24. https://dx.doi.org/10.4067/S0718-33052016000500003.
[27]  Ramalingam, P.Sethu., et al., 2020, Effect of 3D printing process parameters on the impact strength of onyx – Glass fiber reinforced composites, Materials Today: Proceedings, https://doi.org/10.1016/j.matpr.2020.10.467.
[28]  Wang, P., et al., 2020, Effects of FDM-3D printing parameters on mechanical properties and microstructure of CF/PEEK and GF/PEEK, Chin J Aeronaut, https://doi.org/10.1016/j.cja.2020.05.040.
[29]  Gebisa, A., and Lemu, H., 2019, Influence of 3D Printing FDM Process Parameters on Tensile Property of ULTEM 9085. Procedia Manufacturing. 30. 331-338. https://doi.org/10.1016/j.promfg.2019.02.047.
[30]  Carlier, E., et.al., 2019, Investigation of the parameters used in fused deposition modeling of poly(lactic acid) to optimize 3D printing sessions. International Journal of Pharmaceutics. 565. https://doi.org/10.1016/j.ijpharm.2019.05.008.
[31]  Ultimaker Cura Software, 2021, https://ultimaker.com/software/ultimaker-cura, Accessed on 24/3/2021.
[32]  Slic3r Open source 3D printing toolbox, 2021, https://slic3r.org/, Accessed on 24/3/2021.
[33]  Simplify3D Professional 3D Printing Software, 2021, https://www.simplify3d.com/, Accessed on 24/3/2021.