Error modeling and compensation for FDM machines
Source abstract
Abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Measurement and Metrology Techniques · Manufacturing Process and Optimization · Advanced Numerical Analysis Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Stevens Institute of Technology Department of Mechanical Engineering, , Hoboken, New Jersey,
References (24)
Show source-provided references
1. Dimensional accuracy and surface finish optimization of fused deposition modelling parts using desirability function analysis
2. Measuring accuracy of two 3D printing materials
3. Bhatia · 2014
4. Slicing procedures for layered manufacturing techniques10.1016/0010-4485(94)90032-9 ↗
5. Accuracy improvement in rapid prototyping machine (FDM-1650)
6. Factors affecting dimensional precision of consumer 3D printing
7. Self-calibration method and software error correction for three-dimensional coordinate measuring machines using artefact measurements10.1016/0263-2241(94)90024-8 ↗
8. A comprehensive method for calibration of volumetric positioning accuracy of CNC-machines10.1007/BF01179416 ↗
9. Optimization with minimum process error for layered manufacturing fabrication10.1108/13552540110386691 ↗
10. Experimental investigation of extrusion speed and temperature effects on arithmetic mean surface roughness in FDM-built specimens
11. Usage of accuracy models in stereolithography process planning10.1108/13552540010323600 ↗
12. QIDI (2017), “Ruian qidi technology CO., ltd”, available at: www.qd3dprinter.com/en/page/html/company.php
13. Improving accuracy through shrinkage modeling by using taguchi method in selective laser sintering10.1016/j.ijmachtools.2006.07.001 ↗
14. Error compensation in machine tools – a review: part I: geometric, cutting-force induced and fixture-dependent errors10.1016/S0890-6955(00)00009-2 ↗
15. Geometric error measurement and compensation of machines10.1016/S0007-8506(07)60507-1 ↗
16. Improving dimensional accuracy of fused deposition modeling processed part using gray Taguchi method10.1016/j.matdes.2009.04.030 ↗
17. f2792. 2012
18. Parametric error modeling and software error compensation for rapid prototyping10.1108/13552540310502202 ↗
19. Error compensation for fused deposition modeling (FDM) machine by correcting slice files10.1108/13552540810841517 ↗
20. Software compensation of rapid prototyping machines10.1016/j.precisioneng.2003.11.003 ↗
21. Reduction and compensation of thermal errors in machine tools10.1016/S0007-8506(07)60506-X ↗
22. The improvement of thermal error modeling and compensation on machine tools by CMAC neural network10.1016/0890-6955(95)00040-2 ↗
23. A displacement method for machine geometry calibration10.1016/S0007-8506(07)61690-4 ↗
24. Error compensation of coordinate measuring machines10.1016/S0007-8506(07)61808-3 ↗