Shuzhou Lu

Quality optimization of liquid silicon lenses based on sequential approximation optimization and radial basis function networks

Hanjui Chang, Shuzhou Lu, Yue Sun, Yuntao Lan

This study introduces an innovative multi-objective optimization method based on sequential approximation optimization (SAO) and radial basis function (RBF) networks to enhance the injection molding process for liquid silicone optical lenses. The method successfully minimizes residual stress and volume shrinkage, thereby improving …

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Application of non-dominated sorting genetic algorithm (NSGA-III) and radial basis function (RBF) interpolation for mitigating node displacement in smart contact lenses

Hanjui Chang, Yue Sun, Shuzhou Lu, Daiyao Lin

With the rapid development of wearable technology, smart contact lenses (SCL) are gradually gaining attention as a breakthrough innovation. The emergence of these products suggests that smart glasses, which incorporate electronic components and visual aids, are expected to become the mainstream of …

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Barrel rifling node offset detection and subsequent optimization based on thin film in-mold decoration characteristics of the Johnson–Cook model

Hanjui Chang, Guangyi Zhang, Yue Sun, Shuzhou Lu

In this paper, a nodal detection method for the detection and optimization of barrel helix offsets is proposed. The barrel used in this experiment is a 6-helix barrel. Moreover, the special properties of the film of Polyetheretherketone (PEEK) material are used to …

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Quality optimization of liquid silicon lenses based on sequential approximation optimization and radial basis function networks

Hanjui Chang, Shuzhou Lu, Yue Sun, Yuntao Lan

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Enhancing Brain–Computer Interfaces through Kriging-Based Fusion of Sparse Regression Partial Differential Equations to Counter Injection Molding View of Node Displacement Effects

Hanjui Chang, Yue Sun, Shuzhou Lu, Yuntao Lan

Injection molding is an efficient and precise manufacturing technology that is widely used in the production of plastic products. In recent years, injection molding technology has made significant progress, especially with the combination of in-mold electronics (IME) technology, which makes it possible …

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A multistrategy differential evolution algorithm combined with Latin hypercube sampling applied to a brain–computer interface to improve the effect of node displacement

Hanjui Chang, Yue Sun, Shuzhou Lu, Daiyao Lin

Injection molding is a common plastic processing technique that allows melted plastic to be injected into a mold through pressure to form differently shaped plastic parts. In injection molding, in-mold electronics (IME) can include various circuit components, such as sensors, amplifiers, and …

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Liquid Silicone Rubber Headlamp Lens Injection Molding Process Optimization Based on Tie Bar Elongation and NSGA III

Hanjui Chang, Shuzhou Lu, Yue Sun, Rui Wang

This study aimed to improve the injection molding quality of LSR material lenses by optimizing the process parameters. To achieve this goal, we employed the population-based optimization algorithm NSGA-III, which can simultaneously optimize multiple objective functions and identify an equilibrium point among …

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Application of the NSGA-II Algorithm and Kriging Model to Optimise the Process Parameters for the Improvement of the Quality of Fresnel Lenses

Hanjui Chang, Yue Sun, Rui Wang, Shuzhou Lu

The Fresnel lens is an optical system consisting of a series of concentric diamond grooves. One surface of the lens is smooth, while the other is engraved with concentric circles of increasing size. Optical interference, diffraction, and sensitivity to the angle of …

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Barrel rifling node offset detection and subsequent optimization based on thin film IMD characteristics Johnson-cook model

Hanjui Chang, Guangyi Zhang, Yue Sun, Shuzhou Lu et autres

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Based on wavelet-Lipschitz function for node detection method on armor subsequent damage optimization

Hanjui Chang, Yue Sun, Shuzhou Lu, Guangyi Zhang

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Multi-Objective Optimization of Liquid Silica Array Lenses Based on Latin Hypercube Sampling and Constrained Generative Inverse Design Networks

Hanjui Chang, Shuzhou Lu, Yue Sun, Guangyi Zhang et autres

Injection molding process parameters have a great impact on plastic production quality, manufacturing cost, and molding efficiency. This study proposes to apply the method of Latin hypercube sampling, and to combine the response surface model and "Constraint Generation Inverse Design Network (CGIDN)" …

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Optical Penetration and “Fingerprinting” Analysis of Automotive Optical Liquid Silicone Components Based on Wavelet Analysis and Multiple Recognizable Performance Evaluation

Hanjui Chang, Shuzhou Lu, Yue Sun, Guangyi Zhang et autres

The residual stress phenomenon in the injection process of an optical lens affects the quality of optical components, and the refractive error caused by geometric errors is the most serious, followed by the degradation of the accuracy and function of optical components. …

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