Injection molding process parameters have a great impact on plastic production quality, manufacturing cost, and efficiency. This study proposes to apply the method of Latin hypercube sampling, combine response surface model "Constraint Generation Inverse Design Network (CGIDN)" achieve multi-objective optimization injection process, shorten time find optimal parameters, improve efficiency parts. Taking LSR lens array automotive LED lights as research object, residual stress volume shrinkage...

This paper uses a multi-objective optimization method to optimize the injection-molding defects of automotive pedals. Compared with traditional pedal material, aluminum alloy, polymer containing glass fibers not only reduces by at least half, but also improves strength and hardness adjusting orientation in all directions. Injection factors include: filling time, pressure, melt temperature, cooling injection etc. For process influencing factors, herein, we focus on warpage analyzed via flow...

This paper uses Pareto-optimized frames and injection molding process parameters to optimize the quality of UAV housing parts with multi-objective optimization. Process parameters, such as melt temperature, filling time, pressure, pressure were studied model variables. The a plastic part is determined by two defect warpage value mold index, which require minimal parameters. proposes three-stage optimization system. In first stage, main node position electronic chip in module collected...

This study introduces an innovative multi-objective optimization method based on sequential approximation (SAO) and radial basis function (RBF) networks to enhance the injection molding process for liquid silicone optical lenses. The successfully minimizes residual stress volume shrinkage, thereby improving product quality manufacturing efficiency. By replacing finite element reanalysis with RBF network, it constructs approximate functional relationship between conditions quality. novelty...

With the rapid development of wearable technology, smart contact lenses (SCL) are gradually gaining attention as a breakthrough innovation. The emergence these products suggests that glasses, which incorporate electronic components and visual aids, expected to become mainstream human-computer interaction in future. However, realizing this vision requires not only advanced electronics but also highly sophisticated manufacturing processes. Therefore, paper provides an in-depth discussion on...

This study aimed to improve the injection molding quality of LSR material lenses by optimizing process parameters. To achieve this goal, we employed population-based optimization algorithm NSGA-III, which can simultaneously optimize multiple objective functions and identify an equilibrium point among them, thereby reducing time required find optimal We utilized analysis software simulate lenses, with a specific focus on examining relationship between tie bar elongation optimized During...

Injection molding is a common plastic processing technique that allows melted to be injected into mold through pressure form differently shaped parts. In injection molding, in-mold electronics (IME) can include various circuit components, such as sensors, amplifiers, and filters. These components the whole within therefore very easily integrated molded part. The brain–computer interface (BCI) direct connection pathway between human or animal brain an external device. Through BCIs,...

The Fresnel lens is an optical system consisting of a series concentric diamond grooves. One surface the smooth, while other engraved with circles increasing size. Optical interference, diffraction, and sensitivity to angle incidence are used design microstructure on surface. imaging depends its curvature. By reducing thickness lens, light can still be focused at same focal point as thicker lens. Previously, lenses, including were made glass due material limitations. However, traditional...

In this paper, we present the results of a study citation and co-authorship networks for articles published at ASME Design Automation Conference (DAC) during years 2002–2015. Two topic-modeling methods are presented studying DAC literature: A frequency-based model was developed to explore topic distribution evolution, as well analysis each core topic. Correlation association-rule mining were used discover relationships between topics. new unsupervised learning algorithm, propagation mergence...

<title>Abstract</title> This paper proposes a nodal detection method for the and optimization of barrel helix offset, used in this experiment is 3-helix barrel, which will use special properties film to cover surface with virtual IMD film, unique nature die offset detect position helix, area large index introduced quantify data. The determine damaged barrel. novelty work that each node can efficiently deviation, then carry out subsequent repair through injection molding parameters design...

Injection molding is an efficient and precise manufacturing technology that widely used in the production of plastic products. In recent years, injection has made significant progress, especially with combination in-mold electronics (IME) technology, which makes it possible to embed electronic components directly into surface a product. IME improves integration performance product by embedding conductive materials functional mold. Brain–computer interfaces (BCIs) are rapidly growing field...

<title>Abstract</title> In order to obtain competitive advantages in terms of product cost and quality, this study proposes a multi-objective optimization method based on sequential approximation radial basis function networks. the process, network replaces finite element reanalysis allows construction an approximate functional relationship between quality process conditions. study, injection molding objects was simulated analyzed while varying filling time, melt temperature, mold curing...

In this paper, a nodal detection method for the and optimization of barrel helix offsets is proposed. The used in experiment 6-helix barrel. Moreover, special properties film Polyetheretherketone (PEEK) material are to cover surface with virtual in-mold decoration (IMD) film, unique nature die offset IMD utilized detect position helix. area large index barrel, introduced quantify data. determine damaged novelty work that each node can use efficiently deviation, carry out subsequent repair...

The residual stress phenomenon in the injection process of an optical lens affects quality components, and refractive error caused by geometric errors is most serious, followed degradation accuracy function components. It very important to ensure that geometry remains intact index low. Therefore, a parameter design method for liquid silicon molding was proposed this study. Wavelet analysis applied noise reduction feature extraction cavity pressure/pressure retaining curve machine, multiple...

In this paper, a node detection method is proposed for the of battle damage to armor. This experiment uses special nature film virtualize surface armor IMD coverage. The die index large area and easy damage, but with use unique stamping die, possibility decreases, which provides prediction function addition, damaged armor, same can be used detect because part more easily causes rupture after being impacted, so it possible optimize design molding through index. also degree Therefore,...

Introduction: Due to the fact that model experiment can simulate flow process and movement law of fluid during seepage experiment, was widely applied study hydraulic characteristics rock-soil mass transportation ground water pollutants. While due opacity medium in traditional process, diffusion occurrence state not be observed intuitively experiment. Method: A new technique based on transparent material (TRSM) introduced this paper, combined with optical observation method, digital imaging...

In this paper we present a study of citation and co-authorship networks for articles from the ASME Design Automation Conference (DAC) during years 2002–2015. We identify key authors, show that network exhibits small world property, reveal other insights structure. Results two topic modeling methods are presented. A frequency-based model was developed to explore DAC distribution evolution. Citation analysis also conducted each core topic. correlation matrix association rule mining were used...

This paper analyzes the structure of key parts car belt guide, and average stress vulnerable is simulated by analysis software. The theoretical section calculated. concentration factor (Kt) given. relation between gap radius notch coefficient (Kf) was studied according to a previous Kf calculation formula. tensile tests real products are used as reference data. results showed that Kt linear in most cases, but there also cases non-compliance. relationship fatigue closely related service life...