An active learning hybrid reliability method for positioning accuracy of industrial robots

Zhang, Dequan; Liu, Song; Wu, Jinhui; Wu, Yimin; Liu, Jie

doi:10.1007/s12206-020-0729-8

Cited by 20 publications

(9 citation statements)

References 46 publications

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“…It is clear, from Figure 2, that the proposed method is capable of capturing the most significant polynomial basis functions. As a matter of fact, the actually significant polynomial basis functions, can be identified by writing the Taylor series expansion of equation (42). It is also found that the results obtained with N = 100 using the proposed method are consistent as the exactly same 17 polynomial basis functions, are retained in the Taylor series expansion.…”

Section: Automatic Search Algorithm For Sparse Pcementioning

confidence: 64%

“…A cantilever tube structure shown in Figure 9 is used as the second example. 15,42 This structure is subjected to three external forces F 1 ( t ) , F 2 and P Dx , and a torque Tr ( t ) . The vectors of random variables and stochastic processes are denoted as X = { d , h , R 0 , F 2 } and Y ( t ) = { F 1 ( t ) , Tr ( t ) } , respectively.…”

Section: Application Examplementioning

confidence: 99%

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Variational Bayesian inference-based polynomial chaos expansion: Application to time-variantreliability analysis

Zhou

Lü

Yan

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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In the time-variant systems, random variables, stochastic processes, and time parameter are regarded as the inputs of time-variant computational model. This results in an even more computationally expensive model what makes the time-variant reliability analysis a challenging task. This paper addresses the problem by presenting an active learning strategy using polynomial chaos expansion (PCE) in an augmented reliability space. We first propose a new algorithm that determines the sparse representation applying statistical threshold to determine the significant terms of the PCE model. This adaptive decision test is integrated into the variational Bayesian method, improving its accuracy and reducing convergence time. The proposed method uses a composite criterion to identify the most significant time instants and the associated training points to enrich the experimental design. By simulations, we compare the performance of the proposed method with respect to other existing time-variant reliability analysis methods.

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Section: Automatic Search Algorithm For Sparse Pcementioning

confidence: 64%

Section: Application Examplementioning

confidence: 99%

Variational Bayesian inference-based polynomial chaos expansion: Application to time-variantreliability analysis

Zhou

Lü

Yan

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…[9][10][11] Cheng et al [12] prepared a series of UV curable polysiloxane-polyether block polyurethane acrylate prepolymers for polyvinyl chloride (PVC) leather finishing agents,and the prepolymers have excellent photopolymerization properties and weather resistance. Zhang et al [13] designed and synthesized a series of waterborne UV curable polydimethylsiloxane-based polyurethane prepolymers with excellent hydrophobicity, thermal stability, and mechanical properties. Sheng et al [14] synthesized a water-based polyurethane acrylate (DWPU) containing polysiloxane used as a water repellent and investigated the hydrophobicity of the material by varying the content of DWPU in the formulation, and the water contact angle on the fabric surface could reach up to 141.5°.…”

Section: Introductionmentioning

confidence: 99%

Synthesis and Property of an Organosilicon Polyurethane Acrylate Prepolymer Containing Disulfide Bonds for Photopolymerization

Wang

Peng

Gao

et al. 2023

Macro Chemistry & Physics

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Photocurable organosilicon polyurethane acrylate materials combine the merits of both polyurethane and organosilicon and have become the most widely used class of photocurable resins due to the advantages of easy preparation and performance tunability, but they suffer from serious volume shrinkage and difficult degradation. In this article, an organosilicon polyurethane acrylate prepolymer (SSiPUA) containing disulfide bonds is designed and synthesized. The prepolymer exhibits good ability to photopolymerize and reduce the volume shrinkage. The final double bond conversion (DBC) of the system with SSiPUA reaches 92%, and the volume shrinkage is decreased to 4.9% that is much less than that (13.9%) without SSiPUA. Besides, with the increase of SSiPUA content within a certain range, the hydrophobicity, heat resistance, the tensile strength, and the elongation at break of the photocured films gradually increase. The water contact angle, initial decomposition temperature, the tensile strength, and the elongation at break reach up to 93°, 282 °C, 1.8 MPa, and 576.2%, respectively. However, the glass transition temperature is reduced with the increase of SSiPUA content owing to the excellent flexibility of polysiloxane chain segments. More significantly, the SSiPUA containing disulfide bonds endows the photocured film with good degradation properties.

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“…[21] However, vegetable oilbased WPUs always exhibit undesirable water resistance and mechanical properties. [22] In order to improve the water-resistance of the vegetable oil-based WPU, many strategies have been employed to tackle the problem, including decreasing the number of the hydrophilic group in the WPU material, [23] increasing the cross-linking degree of the WPU material, [24,25] introducing components (silicon and fluorine-containing chemicals) with low surface energy, [26][27][28] and incorporating organic fillers (especially two-dimensional nanomaterials). [29,30] Among them, introducing efficient cross-linkers to increase the cross-linking degree of the WPU system is one of the most effective and widely used strategies.…”

Section: Introductionmentioning

confidence: 99%

From Castor Oil‐Based Multifunctional Polyols to Waterborne Polyurethanes: Synthesis and Properties

Zhang

Shi³

et al. 2023

Macro Materials & Eng

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A novel castor oil-based multifunctional polyol (CM) is fabricated through mild thiol-ene photo induced reactions using castor oil (CO) and 1-thioglycerol (MPD) as building blocks. The effect of the reaction time, molar ratio of thiol to carbon-carbon double bond, and the loadings of photo-initiator are optimized. The resulting CM is combined with CO and employed as cross-linkers to prepare castor oil-based water-borne polyurethane emulsion with desirable mechanical properties and water resistance. Owing to the incorporation of CM cross-linker with high hydroxyl value of 371 mg KOH/g (which is 2.27 times higher than that of the CO), the prepared castor oil-based waterborne polyurethane (CMWPU) possesses compacted 3D network structure with high cross-linking degree, leading to improved glass transition temperature (45 °C), tensile strength (10.8 MPa), water contact angle (87.4°), and decreased water absorption rate (16.12%) with 20% CM additions. Overall, this work illustrates the feasibility of introducing bio renewable CM combined with CO to develop castor oil-based WPU employing a sustainable development strategy.

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An active learning hybrid reliability method for positioning accuracy of industrial robots

Cited by 20 publications

References 46 publications

Variational Bayesian inference-based polynomial chaos expansion: Application to time-variantreliability analysis

Variational Bayesian inference-based polynomial chaos expansion: Application to time-variantreliability analysis

Synthesis and Property of an Organosilicon Polyurethane Acrylate Prepolymer Containing Disulfide Bonds for Photopolymerization

From Castor Oil‐Based Multifunctional Polyols to Waterborne Polyurethanes: Synthesis and Properties

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