Error modeling and compensation for FDM machines

2019 ◽  
Vol 25 (10) ◽  
pp. 1565-1574
Author(s):  
Jiaqi Lyu ◽  
Souran Manoochehri
Keyword(s):  
Fused Deposition Modeling ◽  
Three Dimensional ◽  
Error Model ◽  
Error Modeling ◽  
Machine Model ◽  
Machine Error ◽  
Content Type ◽  
Fused Deposition ◽  
Measuring Machine ◽  
Integrated Error

Purpose The purpose of this paper is to improve the accuracy of fused deposition modeling (FDM) machines. Design/methodology/approach An integrated error model and compensation methods are developed to improve the accuracy of FDM machines. The effects of machine-dependent and process-dependent errors are included in this integrated model. The error model is then used to obtain compensated values for the printed object. A three-dimensional artifact is designed for the FDM machine characterization. This process takes place only once and an error model for the machine is then developed. An artifact is designed that is feature rich and its coordinates are measured by the coordinate measuring machine (CMM). The CMM digitized values for the three-dimensional artifact are used to calculate the coefficients of the model. The integrated error model of the machine can be used to obtain the compensated values for any given part models. The coefficients of the integrated error model are machine-dependent and represent machine error estimation. To demonstrate this, two test examples are used and modified based on the machine model to verify the effectiveness of the proposed method. Findings The errors from machine mechanical structure and process are evaluated. The variation trend of each error is analyzed. The uncompensated and compensated models are compared, and the effectiveness of the integrated error model and compensation method is analyzed and validated. Originality/value An effective integrated error model with compensation is developed, which can be used to improve the FDM machines accuracy.

Synthesis and properties of modified PBT for FDM

2017 ◽  
Vol 23 (4) ◽  
pp. 804-810 ◽  
Author(s):  
Shiqing Cao ◽  
Dandan Yu ◽  
Weilan Xue ◽  
Zuoxiang Zeng ◽  
Wanyu Zhu
Keyword(s):  
Mechanical Properties ◽  
Impact Strength ◽  
Fused Deposition Modeling ◽  
Complex Structure ◽  
Three Dimensional ◽  
Sebacic Acid ◽  
Wire Drawing ◽  
Content Type ◽  
Fused Deposition ◽  
Deposition Modeling

Purpose The purpose of this paper is to prepare a new modified polybutylene terephalate (MPBT) for fused deposition modeling (FDM) to increase the variety of materials compatible with printing. And the printing materials can be used to print components with a complex structure and functional mechanical parts. Design/methodology/approach The MPBT, poly(butylene terephalate-co-isophthalate-co-sebacate) (PBTIS), was prepared for FDM by direct esterification and subsequent polycondensation using terephthalic acid (PTA), isophthalic acid (PIA), sebacic acid (SA) and 1,4-butanediol (BDO). The effects of the content of PIA (20-40 mol%) on the mechanical properties of PBTIS were investigated when the mole per cent of SA (αSA) is zero. The effects of αSA (0-7mol%) on the thermal, rheological and mechanical properties of PBTIS were investigated at nPTA/nPIA = 7/3. A desktop wire drawing and extruding machine was used to fabricate the filaments, whose printability and anisotropy were tested by three-dimensional (3D) printing experiments. Findings A candidate content of PIA introducing into PBT was obtained to be about 30 per cent, and the Izod notched impact strength of PBTIS increased with the increase of αSA. The results showed that the PBTIS (nPTA/nPIA = 7/3, αSA = 3-5mol%) is suitable for FDM. Originality/value New printing materials with good Izod notched impact strength were obtained by introducing PIA and SA (nPTA/nPIA = 7/3, αSA = 3-5 mol%) into PBT and their anisotropy are better than that of ABS.

Improved accuracy of an FDM 3D printer using a face-diagonal length test using an artifact and a Vernier caliper

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Seung-Han Yang ◽  
Kwang-Il Lee
Keyword(s):  
Fused Deposition Modeling ◽  
3D Printer ◽  
Geometric Errors ◽  
Content Type ◽  
Fused Deposition ◽  
Model Based ◽  
The Face ◽  
Deposition Modeling ◽  
Measuring Machine ◽  
Diagonal Length

Purpose The purpose of this study is to improve the accuracy of a fused deposition modeling three-dimensional (3D) printer by identifying and compensating for position-independent geometric errors using a face-diagonal length test featuring a designed artifact and a Vernier caliper. Design/methodology/approach An artifact that does not require support when printing was designed and printed to allow performance of the face-diagonal length test. A Vernier caliper was used to measure the lengths of diagonals in the XY, YZ and ZX planes of the printed artifact specimen; this completed the face-diagonal length test. The relationships between position-independent geometric errors of the linear axes X, Y and Z and the measured diagonal lengths of the three planes were determined to identify geometric errors. Findings The approach was applied to a commercial fused deposition modeling 3D printer, and three position-independent geometric errors were rapidly identified. The artifact was re-printed after model-based compensation for these errors and the diagonal lengths were re-measured. The results were verified via coordinate measuring machine measurement of a simple test piece without and with model-based compensation for identified geometric errors. Furthermore, the proposed approach was applied to a commercial 3D printer. Research limitations/implications The measured diagonal lengths of the printed artifacts varied greatly. Thus, further studies should investigate the effects of printing materials and parameters on the length discrepancies of 3D printed artifacts. Practical implications A software-based compensation of identified position-independent geometric errors has to be used at commercial 3D printers for accuracy improvements of printed parts. Originality/value Thus, the approach is of practical utility; it can be periodically used to identify position-independent geometric errors and ensure that the 3D printer is consistently accurate.

Experimental study on the accuracy and surface quality of printed versus machined holes in PEI Ultem 9085 FDM specimens

2021 ◽  
Vol 27 (11) ◽  
pp. 1-12
Author(s):  
Giovanni Gómez-Gras ◽  
Marco A. Pérez ◽  
Jorge Fábregas-Moreno ◽  
Guillermo Reyes-Pozo
Keyword(s):  
Surface Quality ◽  
Fused Deposition Modeling ◽  
Three Dimensional ◽  
Dimensional Accuracy ◽  
Technological Parameters ◽  
Content Type ◽  
Fused Deposition ◽  
Comparison Of The Results ◽  
Through Hole

Purpose This paper aims to investigate the quality of printed surfaces and manufacturing tolerances by comparing the cylindrical cavities machined in parts obtained by fused deposition modeling (FDM) with the holes manufactured during the printing process itself. The comparison focuses on the results of roughness and tolerances, intending to obtain practical references when making assemblies. Design/methodology/approach The experimental approach focuses on the comparison of the results of roughness and tolerances of two manufacturing strategies: geometric volumes with a through-hole and the through-hole machined in volumes that were initially printed without the hole. Throughout the study, both alternates are explained to make appropriate recommendations. Findings The study shows the best combinations of technological parameters, both machining and three-dimensional printing, which have been decisive for obtaining successful results. These conclusive results allow enunciating recommendations for use in the industrial environment. Originality/value This paper fulfills an identified need to study the dimensional accuracy of the geometries obtained by additive manufacturing, as no experimental evidence has been found of studies that directly address the problem of the FDM-printed part with geometric and dimensional tolerances and desirable surface quality for assembly.

Exposures during industrial 3-D printing and post-processing tasks

2018 ◽  
Vol 24 (5) ◽  
pp. 865-871 ◽  
Author(s):  
Sonette Du Preez ◽  
Alyson Johnson ◽  
Ryan F. LeBouf ◽  
Stephanus J.L. Linde ◽  
Aleksandr B. Stefaniak ◽  
...  
Keyword(s):  
Fused Deposition Modeling ◽  
Three Dimensional ◽  
Personal Exposure ◽  
Breathing Zone ◽  
Post Processing ◽  
Organic Vapors ◽  
Content Type ◽  
Fused Deposition ◽  
Personal Exposures ◽  
Control Technologies

Purpose This paper aims to measure exposures to airborne contaminants during three-dimensional (3-D) printing and post-processing tasks in an industrial workplace. Design/methodology/approach Contaminant concentrations were assessed using real-time particle number (0.007 to 1 µm) and total volatile organic compound (TVOC) monitors and thermal desorption tubes during various tasks at a manufacturing facility using fused deposition modeling (FDMTM) 3-D printers. Personal exposures were measured for two workers using nanoparticle respiratory deposition samplers for metals and passive badges for specific VOCs. Findings Opening industrial-scale FDMTM 3-D printer doors after printing, removing desktop FDMTM 3-D printer covers during printing, acetone vapor polishing (AVP) and chloroform vapor polishing (CVP) tasks all resulted in transient increases in levels of submicrometer-scale particles and/or organic vapors, a portion of which enter the workers’ breathing zone, resulting in exposure. Personal exposure to quantifiable levels of metals in particles <300 nm were 0.02 mg/m3 for aluminum, chromium, copper, iron and titanium during FDMTM printing. Personal exposures were 0.38 to 6.47 mg/m3 for acetone during AVP and 0.18 mg/m3 for chloroform during CVP. Originality/value Characterization of tasks provided insights on factors that influenced contaminant levels, and in turn exposures to various particles, metals < 300 nm and organic vapors. These concentration and exposure factors data are useful for identifying tasks and work processes to consider for implementation of new or improved control technologies to mitigate exposures in manufacturing facilities using FDMTM 3-D printers.

Investigations of personalized and sustainable approach of oral drug delivery systems through additive manufacturing

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
R. Durga Prasad Reddy ◽  
Haytham Elgazzar ◽  
Varun Sharma
Keyword(s):  
Fused Deposition Modeling ◽  
Oral Drug Delivery ◽  
Three Dimensional ◽  
Oral Drug ◽  
Water Mixture ◽  
Dissolution Profile ◽  
Content Type ◽  
Environmentally Sustainable ◽  
Fused Deposition ◽  
Environmental Feasibility

Purpose The purpose of this paper is to print a thermolabile drug-containing tablet using the fused deposition modeling (FDM) technique and analyze its mechanical, pharmaceutical and environmental feasibility using a variety of tests. Design/methodology/approach Ascorbic acid (Vitamin C) is the thermally-sensitive drug impregnated into polyvinyl alcohol excipient using ethanol-water mixture and printed by an FDM printer by varying three parameters without using any external stabilizing agent. Afterward, Taguchi analysis has been performed on these parameters to recognize the significant factors and interactions. Besides this, a regression model has been obtained based on the dissolution data. Various thermo-mechanical and pharmaceutical tests have been carried out to confirm the feasibility. Finally, a life cycle assessment (LCA) analysis has been carried out to compare it with the existing tableting method by considering the environmental impacts. Findings The dissolution profile was found to follow the Korsmeyer-Peppas model, where the drug release occurred both by dissolution and erosion. Further, the infill percent has been found as the most significant parameter. The characterization tests and imaging outputs proved the fidelity of this attempt. Finally, the three-dimensional printed method was found to be more environmentally sustainable than the existing conventional tableting process. Originality/value LCA on a printed tablet is a one-of-a-kind attempt. Thus, this research attempt delivered another approach to print personalized tablets at a temperature lower than prescribed temperatures with required release behavior and can contribute toward the quest of sustainable personalized medication.

Modeling Machine Motion and Process Parameter Errors for Improving Dimensional Accuracy of Fused Deposition Modeling Machines

2018 ◽  
Vol 140 (12) ◽  
Author(s):  
Jiaqi Lyu ◽  
Souran Manoochehri
Keyword(s):  
Computer Aided Design ◽  
Fused Deposition Modeling ◽  
Dimensional Accuracy ◽  
Processing Parameters ◽  
Error Model ◽  
Fused Deposition ◽  
Model Combining ◽  
Before And After ◽  
Deposition Modeling ◽  
Integrated Error

The dimensional accuracy of fused deposition modeling (FDM) machines is dependent on errors caused by processing parameters and machine motions. In this study, an integrated error model combining these effects is developed. Extruder temperature, layer thickness, and infill density are selected as parameters of this study for three FDM machines, namely, Flashforge Finder, Ultimaker 2 go, and XYZ da Vinci 2.0 Duo. Experiments have been conducted using Taguchi method and the interactions between processing parameters are analyzed. Based on the dimensional deviations between fabricated parts and the computer aided design (CAD) geometry, a set of coefficients for the integrated error model are calculated to characterize each machine. Based on the results of the integrated error model, the original CAD geometry is optimized for fabrication accuracy on each machine. New parts are fabricated using the optimized CAD geometries. Through comparing the dimensional deviations of parts fabricated before and after optimization, the effectiveness of the integrated error model is analyzed and demonstrated for the three FDM machines.

Investigations for statistically controlled investment casting solution of FDM-based ABS replicas

2014 ◽  
Vol 20 (3) ◽  
pp. 215-220 ◽  
Author(s):  
Rupinder Singh ◽  
Gurwinder Singh
Keyword(s):  
Investment Casting ◽  
Fused Deposition Modeling ◽  
Plastic Material ◽  
Dimensional Accuracy ◽  
International Standard Organization ◽  
Content Type ◽  
Fused Deposition ◽  
Deposition Modeling ◽  
Standard Organization ◽  
Measuring Machine

Purpose – The purpose of the present study is to investigate statistically controlled investment casting (IC) solution of fused deposition modeling (FDM)-based ABS replicas. Design/methodology/approach – The work started with the identification of the benchmark/component. Prototypes (to be used as pattern) were built on FDM with ABS plastic material, followed by IC. The measurements on final casting prepared were made on the co-ordinate measuring machine (CMM) from which international tolerance (IT) grades were calculated to establish the dimensional accuracy of the components. Findings – This study further highlighted the cast component properties (like hardness and surface finish) for suitability of this process. Final castings produced are acceptable as per international standard organization (ISO) standard UNI EN 20286-I (1995). Originality/value – This process ensures development of statistically controlled IC solution as technological prototypes and proof of concept at less production cost and time.

3D printing of generative art using the assembly and deformation of direction-specified parts

2016 ◽  
Vol 22 (4) ◽  
pp. 636-644 ◽  
Author(s):  
Yaususi Kanada
Keyword(s):  
3D Printing ◽  
Computer Aided Design ◽  
Fused Deposition Modeling ◽  
Three Dimensional ◽  
3D Models ◽  
Control Technique ◽  
Content Type ◽  
Fused Deposition ◽  
A New Technique ◽  
Printing Direction

Purpose A methodology for designing and printing three-dimensional (3D) objects with specified printing-direction using fused deposition modeling (FDM), which was proposed by a previous paper, enables the expression of natural directions, such as hair, fabric or other directed textures, in modeled objects. This paper aims to enhance this methodology for creating various shapes of generative visual objects with several specialized attributes. Design/methodology/approach The proposed enhancement consists of two new methods and a new technique. The first is a method for “deformation”. It enables deforming simple 3D models to create varieties of shapes much more easily in generative design processes. The second is the spiral/helical printing method. The print direction (filament direction) of each part of a printed object is made consistent by this method, and it also enables seamless printing results and enables low-angle overhang. The third, i.e. the light-reflection control technique, controls the properties of filament while printing with transparent polylactic acid. It enables the printed objects to reflect light brilliantly. Findings The proposed methods and technique were implemented in a Python library and evaluated by printing various shapes, and it is confirmed that they work well, and objects with attractive attributes, such as the brilliance, can be created. Research limitations/implications The methods and technique proposed in this paper are not well-suited to industrial prototyping or manufacturing that require strength or intensity. Practical implications The techniques proposed in this paper are suited for generatively producing various a small number of products with artistic or visual properties. Originality/value This paper proposes a completely different methodology for 3D printing than the conventional computer-aided design (CAD)-based methodology and enables products that cannot be created by conventional methods.

Learning-based error modeling in FDM 3D printing process

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Paschalis Charalampous ◽  
Ioannis Kostavelis ◽  
Theodora Kontodina ◽  
Dimitrios Tzovaras
Keyword(s):  
Machine Learning ◽  
Computer Aided Design ◽  
Fused Deposition Modeling ◽  
Real Life ◽  
Deep Understanding ◽  
Error Modeling ◽  
Machine Learning Algorithms ◽  
Content Type ◽  
Fused Deposition ◽  
The Impact

Purpose Additive manufacturing (AM) technologies are gaining immense popularity in the manufacturing sector because of their undisputed ability to construct geometrically complex prototypes and functional parts. However, the reliability of AM processes in providing high-quality products remains an open and challenging task, as it necessitates a deep understanding of the impact of process-related parameters on certain characteristics of the manufactured part. The purpose of this study is to develop a novel method for process parameter selection in order to improve the dimensional accuracy of manufactured specimens via the fused deposition modeling (FDM) process and ensure the efficiency of the procedure. Design/methodology/approach The introduced methodology uses regression-based machine learning algorithms to predict the dimensional deviations between the nominal computer aided design (CAD) model and the produced physical part. To achieve this, a database with measurements of three-dimensional (3D) printed parts possessing primitive geometry was created for the formulation of the predictive models. Additionally, adjustments on the dimensions of the 3D model are also considered to compensate for the overall shape deviations and further improve the accuracy of the process. Findings The validity of the suggested strategy is evaluated in a real-life manufacturing scenario with a complex benchmark model and a freeform shape manufactured in different scaling factors, where various sets of printing conditions have been applied. The experimental results exhibited that the developed regressive models can be effectively used for printing conditions recommendation and compensation of the errors as well. Originality/value The present research paper is the first to apply machine learning-based regression models and compensation strategies to assess the quality of the FDM process.

The dyeability and after-dyeing wearability of TPU-based 3D-printed fabrics

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhaoling Sun ◽  
Jiaguang Meng ◽  
Yanning Yang ◽  
Lingjie Yu ◽  
Chao Zhi
Keyword(s):  
Fused Deposition Modeling ◽  
Orthogonal Experiment ◽  
Thermoplastic Polyurethane ◽  
Three Dimensional ◽  
Bending Rigidity ◽  
Content Type ◽  
Fused Deposition ◽  
Dyeing Process ◽  
Before And After ◽  
Dyeing Method

PurposeThe purpose of the paper is to study the dyeing process of three-dimensional-printed (3DP) fabrics, and then study the wearability of the fabrics before and after dyeing to provide a feasible dyeing method of 3DP clothes.Design/methodology/approachIn this regard, the thermoplastic polyurethane (TPU) was applied during the process of 3DP. Then, the imitation twill weave (ITW) was printed with fused deposition modeling (FDM) technology using TPU and the suspension of Disperse Blue 2BLN (as a dye) was prepared. After that, the single factor analysis and orthogonal experiment of dyeing were combined to obtain the optimized dyeing process. And then, ITW fabrics were dyed through the weak acid-low temperature dyeing method. In the end, in order to discuss the wearability of ITW fabrics, the dyeing experiments, including permeability, wrinkle recovery angle, bending rigidity, crock fastness and washing colorfastness were carried out.FindingsThe surface morphology of TPU before and after spinning was established by field emission scanning electron microscopy (FE-SEM), which was confirmed the surface of TPU getting smoother after spinning. The wearability of the fabric after dyeing was not affected compared with before dyeing. Moreover, both colorfastness grades were above 4–5 with high colorfastness.Originality/valueThe article provides a method for 3DP dyeing, which can solve the problem of a single color. And the wearability demonstrates that 3DP fabrics after dyeing-based TPU have more value for clothing than before dyeing.

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