Coordinate transformation of an industrial robot and its application in deterministic optical polishing

Wang, Wei; Yu, Guoyu; Xu, Min; Walker, David D.

doi:10.1117/1.oe.53.5.055102

Cited by 7 publications

(3 citation statements)

References 17 publications

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“…The robot-assisted grinding system improves the polishing efficiency and surface quality. In order to achieve high process efficiency without affecting the grinding accuracy, the correct attitude and path generation algorithm is very important (Wang et al, 2014;Lin, 2014). Robots need to use a variety of sensors to monitor, process and collect information and use intelligent algorithms to predict surface roughness, determine the stop time of grinding and avoid over-grinding (Beatriz et al, 2018;Segreto et al, 2015).…”

Section: Jimsementioning

confidence: 99%

The robot grinding and polishing of additive aviation titanium alloy blades: a review

Xiao,

Zhang,

et al. 2024

JIMSE

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PurposeThe purpose of this review is to comprehensively consider the material properties and processing of additive titanium alloy and provide a new perspective for the robotic grinding and polishing of additive titanium alloy blades to ensure the surface integrity and machining accuracy of the blades.Design/methodology/approachAt present, robot grinding and polishing are mainstream processing methods in blade automatic processing. This review systematically summarizes the processing characteristics and processing methods of additive manufacturing (AM) titanium alloy blades. On the one hand, the unique manufacturing process and thermal effect of AM have created the unique processing characteristics of additive titanium alloy blades. On the other hand, the robot grinding and polishing process needs to incorporate the material removal model into the traditional processing flow according to the processing characteristics of the additive titanium alloy.FindingsRobot belt grinding can solve the processing problem of additive titanium alloy blades. The complex surface of the blade generates a robot grinding trajectory through trajectory planning. The trajectory planning of the robot profoundly affects the machining accuracy and surface quality of the blade. Subsequent research is needed to solve the problems of high machining accuracy of blade profiles, complex surface material removal models and uneven distribution of blade machining allowance. In the process parameters of the robot, the grinding parameters, trajectory planning and error compensation affect the surface quality of the blade through the material removal method, grinding force and grinding temperature. The machining accuracy of the blade surface is affected by robot vibration and stiffness.Originality/valueThis review systematically summarizes the processing characteristics and processing methods of aviation titanium alloy blades manufactured by AM. Combined with the material properties of additive titanium alloy, it provides a new idea for robot grinding and polishing of aviation titanium alloy blades manufactured by AM.

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Section: Jimsementioning

confidence: 99%

The robot grinding and polishing of additive aviation titanium alloy blades: a review

Xiao,

Zhang,

et al. 2024

JIMSE

View full text Add to dashboard Cite

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“…Such a system is particularly suitable for polishing objects with large apertures and complex surface shapes. Figure 1 shows the self-developed polishing system with an industrial robot as a motion carrier [4].…”

Section: Introductionmentioning

confidence: 99%

In-Situ Inspection for Robotic Polishing of Complex Optics

Zhang

Wang

Chen

et al. 2022

Int. J. Robot. Autom. Technol.

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With rapid development of modern optical manufacturing technologies, industrial robot polishing has a wide range of application scenarios and broad development potential in the field of optical manufacturing. The integration of in-situ inspection is a key to improving the reliability and efficiency of precision manufacturing. Deflectometry is a promising in-situ measuring method due to its large dynamic range and structural flexibility. The measurement principles, calibration methods, phase retrieval, surface reconstruction, scope extension etc are presented systematically. The key problems of height-slope ambiguity and position-angle uncertainty are analyzed in details. High-precision measurement of complex optical elements is realized, which is of great significance to the intelligent manufacturing of key optical components.

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“…Humans use a combination of feedback and predictive-control mechanisms. The dominant control mechanism depends on the periodicity of the target [9][10][11][12][13][14][15]. The difference in the mechanism leads to the human control of the upper limb with low precision and accuracy compared to the robot.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Visuo Motor Control between Dominant Hand and Non-Dominant Hand for Effective Human-Robot Collaboration

Choi

Lee

et al. 2020

Sensors

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The human-in-the-loop technology requires studies on sensory-motor characteristics of each hand for an effective human–robot collaboration. This study aims to investigate the differences in visuomotor control between the dominant (DH) and non-dominant hands in tracking a target in the three-dimensional space. We compared the circular tracking performances of the hands on the frontal plane of the virtual reality space in terms of radial position error (ΔR), phase error (Δθ), acceleration error (Δa), and dimensionless squared jerk (DSJ) at four different speeds for 30 subjects. ΔR and Δθ significantly differed at relatively high speeds (ΔR: 0.5 Hz; Δθ: 0.5, 0.75 Hz), with maximum values of ≤1% compared to the target trajectory radius. DSJ significantly differed only at low speeds (0.125, 0.25 Hz), whereas Δa significantly differed at all speeds. In summary, the feedback-control mechanism of the DH has a wider range of speed control capability and is efficient according to an energy saving model. The central nervous system (CNS) uses different models for the two hands, which react dissimilarly. Despite the precise control of the DH, both hands exhibited dependences on limb kinematic properties at high speeds (0.75 Hz). Thus, the CNS uses a different strategy according to the model for optimal results.

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Coordinate transformation of an industrial robot and its application in deterministic optical polishing

Cited by 7 publications

References 17 publications

The robot grinding and polishing of additive aviation titanium alloy blades: a review

The robot grinding and polishing of additive aviation titanium alloy blades: a review

In-Situ Inspection for Robotic Polishing of Complex Optics

Analysis of Visuo Motor Control between Dominant Hand and Non-Dominant Hand for Effective Human-Robot Collaboration

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