Error modeling and compensation for FDM machines

Lyu, Jiaqi; Manoochehri, Souran

doi:10.1108/rpj-04-2017-0068

Cited by 6 publications

(5 citation statements)

References 16 publications

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“…This error measurement technique is also the most widely used in AM machines. A proof of this are some works previously developed by different researchers (Tong et al, 2003(Tong et al, , 2008Bochmann et al, 2015;Song et al, 2014;Cajal et al, 2016;Majarena et al, 2017;Lyu and Manoochehri, 2019), as well as the proposal of the ISO/ASTM 52902 standard to assess the geometric capacity of AM systems using artefacts.…”

Section: Introductionmentioning

confidence: 92%

“…Material properties: although they also depend partially on the considered technology, some properties affect to most of the processes, such as density, surface tension, thermal conductivity, moisture absorption or melting temperature (Sutton et al , 2016; Vock et al , 2019; Yuasa et al , 2021; Fico et al , 2022; Shanmugam et al , 2021). Machine errors: regardless of the considered technology, constructive components (hardware and software) of the AM machines cause kinematic errors, loads, dynamics forces and control errors that are transferred to the part under construction (ISO 230-1:2012, 2012; Bochmann et al , 2015; Cajal et al , 2016; Lyu and Manoochehri, 2019; Tong et al , 2003, 2008). …”

Section: Introductionmentioning

confidence: 99%

“…3 Machine errors: regardless of the considered technology, constructive components (hardware and software) of the AM machines cause kinematic errors, loads, dynamics forces and control errors that are transferred to the part under construction (ISO 230-1:2012(ISO 230-1: , 2012Bochmann et al, 2015;Cajal et al, 2016;Lyu and Manoochehri, 2019;Tong et al, 2003Tong et al, , 2008.…”

Section: Introductionmentioning

confidence: 99%

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Virtual-point-based geometric error compensation model for additive manufacturing machines

Zapico

Peña

Valiño

et al. 2022

RPJ

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Purpose The lack of geometric and dimensional accuracy of parts produced by additive manufacturing (AM) is directly related to the machine, material and process used. This paper aims to propose a method for the analysis and compensation of machine-related geometric errors applicable to any AM machine, regardless of the manufacturing process and technology used. Design/methodology/approach For this purpose, an error calculation model inspired by those used in computerized numerical control machines and coordinate measuring machines was developed. The error functions of the model were determined from the position deviations of a set of virtual points that are not sensitive to material and process errors. These points were obtained from the measurement of an ad hoc designed and manufactured master artefact. To validate the model, off-line compensation was applied to both the original designed artefact and an example part. Findings The geometric deviations in both cases were significantly smaller than those found before applying the geometric compensation. Dimensional enhancements were also achieved on the example part by using a correction parameter available in the three-dimensional printing software, whose value was adjusted from the measurement of the geometrically compensated master artefact. Research limitations/implications The errors that persist in the part derive from both material and process. Compensation for these type of errors requires a detailed analysis of the influencing parameters, which will be the subject of future research. Originality/value The use of the virtual-point-based error model increases the quality of additively manufactured parts and can be used in any AM system.

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Section: Introductionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Virtual-point-based geometric error compensation model for additive manufacturing machines

Zapico

Peña

Valiño

et al. 2022

RPJ

View full text Add to dashboard Cite

show abstract

“…Many publications have been devoted to the definition of shrinkage of material in 3D printing, namely, in [93][94][95][96] and others. However, in these works, everything comes down to the authors' proposal of a general shrinkage coefficient for the entire model.…”

Section: Coefficient Shrinkage Of Materialsmentioning

confidence: 99%

Three-Dimensional Printing of Cylindrical Nozzle Elements of Bernoulli Gripping Devices for Industrial Robots

et al. 2022

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The application of additive technologies, namely, fused deposition modeling, is a new reality for prototyping gripping devices of industrial robots. However, during 3D printing of holes and nozzle elements, difficulties arise with reducing their diameter. Therefore, this article conducts a comprehensive study of the Bernoulli gripping device prototype with a cylindrical nozzle, manufactured by fused deposition modeling 3D printing. The three main reasons for reducing the diameter of the gripper nozzle after printing were due to the poor-quality model, excessive extrusion of plastic in the middle of the arc printing path, and linear shrinkage of printing material after cooling. The proposed methodology consisted of determining the three coefficients that allowed the determination of the diameter of the designed nozzle. The use of air pressure distributions on the surface of the manipulation object, and lifting forces of gripping devices with different 3D printing layer heights were found. It was experimentally determined that as the height of the printing layer increased, the lifting force decreased. This was due to the formation of swirls due to the increased roughness of the grip surface. It was proven that as the height between the manipulation object and the grip increased, the effect of surface roughness on the lifting force decreased, resulting in an increase in the lifting force. Determination of the rational operating parameters of gripping devices manufactured by 3D printing from the point of view of maximum lifting force, were determined.

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“…The offline compensation can compensate for the geometric error of the gear hobbing machine, while the online compensation can compensate for the cutting force and cutting the heat of the gear hobbing machine. These compensation methods are both highly costly and technically difficult to implement [8]. The proposed method here can reduce the error and improve the accuracy in the subsequent machine tool processing (such as turning teeth, slotting teeth, and grinding teeth).…”

Section: Introductionmentioning

confidence: 99%

Simulation of Cutting Error of Cradle CNC Machine Tool Utilizing Three-Loop Pid Control Model

2021

IJOMAM

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The purpose of this work is to study the error of the three-loop PID (Packet Identifier) control model of cradle CNC (Computer Numerical Control) machine tool in the cutting process through simulation. Here, the milling and hobbing process are controlled through the vertical feed servo system of the cradle CNC machine tool. At the same time, the model is established in the ADAMS (Automatic Dynamic Analysis of Mechanical Systems) and MATLAB (Matrix Laboratory) software, including the servo motor, the complete control system, and the mechanical operation system. Then, the parameters of the three-loop PID are re-tuned. The gain parameters are adjusted from small to large, and the integral time constant is adjusted from large to small following the general experience of the external load. The steady-state value without vibration overshoot is set as the optimal value. Finally, the cradle CNC machine tool and the hobbing model are constructed, and the milling and hobbing are simulated through experiment. The pitch deviation and accumulation deviation of the simulated gear are measured through the VGMC (Virtual Gear Measurement Centre). The simulation experiment shows that the initial values set through the PID controller can shorten the system instability that arose from random values and shorten the intelligent algorithm and optimization time. Therefore, the error of the cradle CNC machine tool is significantly smaller than that of the ordinary CNC machine tool in the gear cutting process when controlled by a servo drive system with more accuracy, rapidity, and stability. It provides a more effective method to reduce the error in future precision machining. This can improve the accuracy requirements for products in the machining of CNC machine tools in China and lays a foundation for future intelligent control research.

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Error modeling and compensation for FDM machines

Cited by 6 publications

References 16 publications

Virtual-point-based geometric error compensation model for additive manufacturing machines

Virtual-point-based geometric error compensation model for additive manufacturing machines

Three-Dimensional Printing of Cylindrical Nozzle Elements of Bernoulli Gripping Devices for Industrial Robots

Simulation of Cutting Error of Cradle CNC Machine Tool Utilizing Three-Loop Pid Control Model

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