Optimization of Vibration Characteristics of Fused Deposition Modeling Color 3D Printer Based on Modal and Power Spectrum Method

Zhang, Da‐Wei; Li, Zhiyong; Qin, Shengxue; Han, Shanling

doi:10.3390/app9194154

Cited by 13 publications

(7 citation statements)

References 20 publications

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“…Therefore, the development trend of the product image design integrated decision system will be more intelligent, accurate, digital and systematic. Meanwhile, in the establishment process of experimental database, the design concept, 3-D model and rendering of product design will be further optimized and promoted [18]. Therefore, the intelligent research of product image design integrated decision system has broad prospects and far-reaching research significance.…”

Section: Research Limitations and Discussionmentioning

confidence: 99%

Research on Optimized Product Image Design Integrated Decision System Based on Kansei Engineering

Lei

Zhang³

2020

Applied Sciences

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In order to facilitate the development of product image design, the research proposes the optimized product image design integrated decision system based on Kansei Engineering experiment. The system consists of two sub-models, namely product image design qualitative decision model and quantitative decision model. Firstly, using the product image design qualitative decision model, the influential design elements for the product image are identified based on Quantification Theory Type I. Secondly, the quantitative decision model is utilized to predict the product total image. Grey Relation Analysis (GRA)–Fuzzy logic sub-models of influential design elements are built up separately. After that, utility optimization model is applied to obtain the multi-objective product image. Finally, the product image design integrated decision system is completed to optimize the product image design in the process of product design. A case study of train seat design is given to demonstrate the analysis results. The train seat image design integrated decision system is constructed to determine the product image. This shows the proposed system is effective and for predicting and evaluating the product image. The results provide meaningful improvement for product image design decision.

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Section: Research Limitations and Discussionmentioning

confidence: 99%

Research on Optimized Product Image Design Integrated Decision System Based on Kansei Engineering

Lei

Zhang³

2020

Applied Sciences

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“…Several recent studies are dedicated to detecting and decreasing these effects [24,27,28]. The most effortless way to do that is to increase the natural frequency of the printer head vibration due to proper mechanical design, leading to decreasing mode shape displacements [29]. A more elaborate solution is using active vibration control, which is a common practice in CNC milling machines [30,31].…”

Section: Introductionmentioning

confidence: 99%

Estimating Natural Frequencies of Cartesian 3D Printer Based on Kinematic Scheme

et al. 2022

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Nowadays, 3D printers based on Cartesian kinematics are becoming extremely popular due to their reliability and inexpensiveness. In the early stages of the 3D printer design, once it is chosen to use the Cartesian kinematics, it is always necessary to select relative positions of axes and linear drives (prismatic joints), which would be optimal for the particular specification. Within the class of Cartesian mechanics, many designs are possible. Using the Euler–Lagrange formalism, this paper introduces a method for estimating the natural frequencies of Cartesian 3D printers based on the kinematic scheme. Comparison with the finite element method and experimental validation of the proposed method are given. The method can help to develop preliminary designs of Cartesian 3D printers and is especially useful for emerging 3D-printing technologies.

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“…The technical data supplied by the manufacturers of devices, on the one hand, and filament producers, on the other hand, are not always confirmed by experimental testing results. Selected examples from the literature focus on the impact of the infill and the printing direction [ 15 , 16 ], taking account of fatigue [ 17 ] and creep [ 18 , 19 ] processes, the printing system vibrations [ 20 ] and damping [ 21 ]. Testing materials made with Additive Manufacturing technology is onerous due to the substantial impact of a great number of factors.…”

Section: Introductionmentioning

confidence: 99%

Single-Sensor Vibration-Scanning Method for Assessing the Mechanical Properties of 3D Printed Elements

Buchalik

Nowak

2021

Materials

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This paper considers issues related to the assessment of the mechanical properties of elements made with 3D printing technology. To enable experimental testing, an automated test stand was built to perform amplitude and phase angle measurements of any point of the specimen. A contactless, optical measurement method was selected, as it is especially adequate when it comes to elements with small dimensions and masses. One innovative element of the test stand is the original method of phase angle measurement using a single vibration sensor fitted with a system forcing and ensuring full measurement synchronization and dynamic state repeatability. Additionally, numerical models of tested objects were produced and simulations of their oscillations were performed. Based on that, the properties of the tested material (PLA) were considered, with a special focus on the density, elastic modulus, and damping. The analyses were conducted for a few elements with different dimensions at different vibration frequencies.

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Optimization of Vibration Characteristics of Fused Deposition Modeling Color 3D Printer Based on Modal and Power Spectrum Method

Cited by 13 publications

References 20 publications

Research on Optimized Product Image Design Integrated Decision System Based on Kansei Engineering

Research on Optimized Product Image Design Integrated Decision System Based on Kansei Engineering

Estimating Natural Frequencies of Cartesian 3D Printer Based on Kinematic Scheme

Single-Sensor Vibration-Scanning Method for Assessing the Mechanical Properties of 3D Printed Elements

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