For Libraries For Publication Open Access Downloads About Us Contact Us
Paper Titles
Stress Simulation of the Structure of a Stretch Die Made by Fused Deposition Modeling
p.47
Experimental Investigation of Nozzle Clogging Using Vibration Signal-Based Condition Monitoring for Fused Deposition Modeling
p.55
Cold Resistance and Mechanical Properties of 07Cr25Ni13 (ER309LSI) Stainless Steel Obtained by 3D Printing by Electric Arc Surfacing on a CNC Machine
p.65
Investigation of the Peculiarities of Deformation and Fracture of Metals Obtained on the Basis of 3D Printing with Registration of an Acoustic Emission Signal
p.71
Kinematic Error Modeling of Delta 3D Printer
p.77
Towards the Possibility of Additive Manufacturing of XNA-Based Devices Using Molecular Engineering Principles
p.84
Sample Printing Device for Additive Manufacturing of Electronic Housings
p.105
Technology for Producing Fine Tungsten Carbide Powders
p.111
Cyber-Physical Hybrid Processing System Digital Twin
p.119

Kinematic Error Modeling of Delta 3D Printer

Article Preview

Abstract:

The development of additive manufacturing requires the improvement of 3D printers to increase accuracy and productivity. Delta kinematics 3D printers have advantages over traditional sequential kinematics 3D printers. The main advantage is the high travel speed due to the parallel movement of the platform from three pairs of arms. Another advantage is the relatively low cost due to the small number of structural components. However, delta 3D printers have received limited use. The main reason is the low positioning accuracy of the end effector. Errors in the manufacture and assembly of components of a parallel drive mechanism add up geometrically and cause an error in the position of the end effector. These formulas can be applied to a 3D printer as well. However, well-known studies consider deterministic models. Therefore, the analysis is performed for limiting size errors. The purpose of this article is to simulate the effect of statistical errors in displacements and arm lengths on the positioning errors of a platform with the end effector. The article effectively complements the field of error analysis research and provides theoretical advice on error compensation for delta 3D printer.

You might also be interested in these eBooks
Intelligent Manufacturing and Materials View Preview

Info:

Periodical:

Materials Science Forum (Volume 1037)

Pages:

77-83

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.1037.77

Citation:

Cite this paper

Online since:

July 2021

Authors:

Andrey V. Kochetkov, T.N. Ivanova, Ludmila V. Seliverstova, Oleg V. Zakharov*

Keywords:

3D Printer, Additive Manufacturing, Delta Kinematics, Error Compensation, Forward Kinematics, Inverse Kinematics, Modeling

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2021 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

References

[1] S. Grigoriev, T. Tarasova, A. Gusarov, R. Khmyrov, S. Egorov, Possibilities of Manufacturing Products from Cermet Compositions Using Nanoscale Powders by Additive Manufacturing Methods, Materials. 12 (2019) 3425.

DOI: 10.3390/ma12203425

Google Scholar

[2] T.N. Ivanova, W. Biały, V. Nordin, Improvement of grinding technology with vortex cooling of steels that are liable to crack propagation, Multidisciplinary Aspects of Production Engineering. 2 (2019) 9-23.

DOI: 10.2478/mape-2019-0001

Google Scholar

[3] I.N. Khaimovich, A.I. Khaimovich, E.A. Kovalkova, Аutomatisation of Calculation Method of Technological Parameters of Wiredrawing with Account of Speed Factor and Material Properties, Solid State Phenomena. 299 (2020) 552-558.

DOI: 10.4028/www.scientific.net/ssp.299.552

Google Scholar

[4] M.A. Volosova, A.A. Okunkova, D.E. Povolotskiy, P. Podrabinnik, Study of electrical discharge machining for the parts of nuclear industry usage, Mechanics and industry. 16 (2015) 706.

DOI: 10.1051/meca/2015091

Google Scholar

[5] O.V. Zakharov, A.F. Balaev, A.P. Bochkarev, Shaping of Spherical Surfaces on Centerless Superfinishing Machines with Longitudinal Supply, Russian Engineering Research. 35 (2015) 264-266.

DOI: 10.3103/s1068798x15040255

Google Scholar

[6] T.N. Ivanova, Alternative machining of materials liable to crack propagation, Materials Today: Proceedings. 19 (2019) 2304-2306.

DOI: 10.1016/j.matpr.2019.07.675

Google Scholar

[7] V.G. Gusev, A.A. Fomin, Multidimensional Model of Surface Waviness Treated by Shaping Cutter, Procedia Engineering. 206 (2017) 286-292.

DOI: 10.1016/j.proeng.2017.10.475

Google Scholar

[8] J. Walker, E. Harris, C. Lynagh, A. Beck, R. Lonardo, B. Vuksanovich, J. Thiel, K. Rogers, B. Conner, E. MacDonald, 3D Printed Smart Molds for Sand Casting, International Journal of Metalcasting. 12 (2018) 785-796.

DOI: 10.1007/s40962-018-0211-x

Google Scholar

[9] F.V. Grechnikov, Y.A. Erisov, S.V. Surudin, M.S. Oglodkov, Investigation into the Formation of Texture, Microstructure, and Anisotropy of Properties during Rolling Sheets of the Aluminum–Lithium 1420 Alloy, Russian Journal of Non-Ferrous Metals. 59 (2018) 56-61.

DOI: 10.3103/s106782121801008x

Google Scholar

[10] A.V. Gusarov, S.N. Grigoriev, M.A. Volosova, Y.A. Melnik, A. Laskin, D.V. Kotoban, A.A. Okunkova, On productivity of laser additive manufacturing, Journal of Materials Processing Technology. 261 (2018) 213-232.

DOI: 10.1016/j.jmatprotec.2018.05.033

Google Scholar

[11] V. Koshuro, M. Fomina, A. Voyko, I. Rodionov, A. Zakharevich, A. Skaptsov, A. Fomin, Surface morphology of zirconium after treatment with high-frequency currents, Composite Structures. 202 (2018) 210-215.

DOI: 10.1016/j.compstruct.2018.01.055

Google Scholar

[12] V. A. Pechenin, M. A. Bolotov, N.V. Ruzanov, Technique of Decomposition of Form Deviation for Freeform Surfaces, Key Engineering Materials. 685 (2016) 334-339.

DOI: 10.4028/www.scientific.net/kem.685.334

Google Scholar

[13] V.G. Gusev, A.A. Fomin, Multidimensional Model of Surface Waviness Treated by Shaping Cutter, Procedia Engineering. 206 (2017) 286-292.

DOI: 10.1016/j.proeng.2017.10.475

Google Scholar

[14] F.V. Grechnikov, A.F. Rezchikov, O.V. Zakharov, Iterative Method of Adjusting the Radius of the Spherical Probe of Mobile Coordinate-Measuring Machines When Monitoring a Rotation Surface, Measurement Techniques. 61 (2018) 347-352.

DOI: 10.1007/s11018-018-1432-3

Google Scholar

[15] M.A. Bolotov, V.A. Pechenin, N.V. Ruzanov, Modeling of coordinate measuring geometrical parameters form and location complexity profile of compressor blade GTE, Research Journal of Applied Sciences. 9 (2014) 1143-1148.

Google Scholar

[16] О.A. Yalovoy, O.V. Zakharov, A.V. Kochetkov, The Adaptive Control of Accuracy at Centerless Grinding of Rolling Bearings, IOP Conf. Series: Materials Science and Engineering. 93 (2015) 012063.

DOI: 10.1088/1757-899x/93/1/012063

Google Scholar

[17] V.A. Pechenin, N.V. Rusanov, M.A. Bolotov, Model and software module for predicting uncertainties of coordinate measurements using the NX OPEN API, Journal of Physics: Conference Series. 1096 (2018) 012162.

DOI: 10.1088/1742-6596/1096/1/012162

Google Scholar

[18] X. Song, Y. Pan, Y. Chen, Development of a Low-Cost Parallel Kinematic Machine for Multidirectional Additive Manufacturing, Journal of Manufacturing Science and Engineering. 137 (2015) 021005.

DOI: 10.1115/1.4028897

Google Scholar

[19] B.M. Schmitt, C.F. Zirbes, C. Bonin, D. Lohmann, D.C. Lencina, A. da Costa Sabino Netto, A Comparative Study of Cartesian and Delta 3D Printers on Producing PLA Parts, Mat. Res. 20 (2018).

DOI: 10.1590/1980-5373-mr-2016-1039

Google Scholar

[20] J. Jiang, R. Zhong, S.T. Newman, A Review of Multiple Degrees of Freedom for Additive Manufacturing Machines, International Journal of Computer Integrated Manufacturing (2020).

DOI: 10.1080/0951192x.2020.1858510

Google Scholar

[21] F. Xie, X.-J. Liu, Design and Development of a High-Speed and High-Rotation Robot With Four Identical Arms and a Single Platform, Journal of Mechanisms and Robotics. 7 (2015) 041015.

DOI: 10.1115/1.4029440

Google Scholar

[22] X.-J. Liu, J. Wang, K.-K. Oh, Jongwon Kim, A New Approach to the Design of a DELTA Robot with a Desired Workspace, Journal of Intelligent and Robotic Systems. 39 (2004) 209-225.

DOI: 10.1023/b:jint.0000015403.67717.68

Google Scholar

[23] R. Zhao, L. Wu, Y.-H. Chen, Robust Control for Nonlinear Delta Parallel Robot with Uncertainty: An Online Estimation Approach, IEEE Access. 8 (2016) 97604-97617.

DOI: 10.1109/access.2020.2997093

Google Scholar

[24] C.-T. Hsieh, Investigation of Delta Robot 3D Printer for a Good Quality of Printing, Applied Mechanics and Materials. 870 (2017) 164-169.

DOI: 10.4028/www.scientific.net/amm.870.164

Google Scholar

[25] A. Simons, K.L.M. Avegnon, C. Addy, Design and Development of a Delta 3D Printer Using Salvaged E-Waste Materials, Journal of Engineering (2019) 5175323.

DOI: 10.1155/2019/5175323

Google Scholar

[26] E. Rodriguez, C. Riaсo, A. Alvares, R. Bonnard, Design and dimensional synthesis of a Linear Delta robot with single legs for additive manufacturing, Journal of the Brazilian Society of Mechanical Sciences and Engineering. 41 (2019) 536.

DOI: 10.1007/s40430-019-2039-6

Google Scholar

[27] S. Keaveney, P. Connolly, E.D. O'Cearbhaill, Kinematic error modeling and error compensation of desktop 3D printer, Nanotechnology and Precision Engineering. 1 (2018) 180-186.

DOI: 10.1016/j.npe.2018.09.002

Google Scholar

[28] S. Qian, K. Bao, B. Zi, N. Wang, Kinematic Calibration of a Cable-Driven Parallel Robot for 3D Printing, Sensors. 18 (2018) 2898.

DOI: 10.3390/s18092898

Google Scholar

[29] Y. Li, D. Shang, Y. Liu, Kinematic modeling and error analysis of Delta robot considering parallelism error, International Journal of Advanced Robotic Systems. 16 (2019) 172988141987892.

DOI: 10.1177/1729881419878927

Google Scholar

[30] O.V. Zakharov, B.M. Brzhozovskii, Accuracy of centering during measurement by roundness gauges, Measurement Techniques. 49 (2006) 1094-1097.

DOI: 10.1007/s11018-006-0242-1

Google Scholar

[31] P. Vischer, R. Clavel, Kinematic calibration of the parallel Delta robot, Robotica. 16 (1998) 207-218.

DOI: 10.1017/s0263574798000538

Google Scholar

© 2025 Trans Tech Publications Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For open access content, terms of the Creative Commons licensing CC-BY are applied.
Scientific.Net is a registered trademark of Trans Tech Publications Ltd.