Recent Patents on Engineering - Online First

In most of the deep-cavity shell plastic products injection moulds, such as test tubes, syringes, and other medical devices, the slender core structure is essential. The uneven pressure of the polymer melt acting on the core during the filling process easily causes core deformation, resulting in core shift, the wall thickness inequality of the parts, and a series of problems, which then affect the final shape and mechanical properties of the plastic parts. The type of deep cavity component is prone to core shift defects during injection molding, resulting in uneven wall thickness of the syringe sleeve and inability to achieve perfect fit with the syringe core rod. Reducing the core shift of the component is the key issue of this article.

This study aims to combine injection moulding CAE with neural networks and optimization algorithms to reduce core shift, improve molding quality and dimensional accuracy, extend mold life, establish a regression model for predicting core shift, shorten product development time, and improve production efficiency.

Propose an injection moulding process parameter optimization method based on Adaptive Neural Network Fuzzy Inference System (ANFIS) and Rireworks Algorithm (FWA). Taking a certain medical syringe as the research object, the Taguchi experiment was designed with mold temperature, melt temperature, injection time, injection pressure, packing pressure, and packing time as optimization variables. A simulation was conducted using Moldflow software, and the signal-to-noise ratio was used to analyze the significance and trend of the influence of process parameters on the plastic core shift. A predictive regression model is constructed based on ANFIS to express the nonlinear function relationship between process parameters and core shift. FWA is used to conduct global optimization based on the ANFIS model to determine the optimal combination of injection molding process parameters.

Through simulation verification, the errors between the FIS prediction model and the ANFIS prediction model were compared with the actual simulation values. The ANFIS prediction model had the highest accuracy, and the core shift of plastic parts based on the ANFIS-FWA combination optimization method decreased by 27.6% compared to before optimization. It was effective in improving the molding quality of plastic parts.

The core shift prediction model established based on ANFIS can accurately predict the core shift of the product, greatly reducing the lengthy simulation time of the computer and shortening the product development cycle. The ANFIS-FWA coupling method can find the best combination of process parameters among multiple injection molding process parameters, achieve the improvement of core shift defects, and provide new ideas for optimizing the core shift of the same type of product.

The hydrostatic thrust bearing is a liquid lubrication technology based on the principle of hydrostatic pressure, characterized by high load-carrying capacity, low friction, and long lifespan. It has been widely applied in precision machinery and the spindles of high-speed, high-precision equipment. The oil pad of the hydrostatic thrust bearing is a crucial component, and its geometric structure significantly influences the bearing performance. During operation, the oil film of the hydrostatic thrust bearing is subjected to high loads and temperatures. If the oil film does not have sufficient strength, it can affect the normal operation of the bearing, leading to accidents. The oil pad structure is a key factor affecting the strength of the oil film. Therefore, the rational design of the oil pad structure is essential to ensure the performance of the hydrostatic bearing and prolong its service life.

This study aimed to summarize the impact of different oil pad structures on the performance of hydrostatic thrust bearings, providing a basis for the future development of hydrostatic thrust bearings.

A search for journals, patents, conferences, and papers related to hydrostatic thrust bearings was conducted, and the impact of oil pad structures on hydrostatic thrust bearings was summarized and analyzed.

Based on the research findings of numerous scholars, this study summarizes the impact of oil pad structures on the performance of hydrostatic thrust bearings. It describes how the oil pad shape, oil pocket shape, oil pocket depth, and microtextures affect the overall performance of thrust bearings. The research methods employed are analyzed, and a concluding summary is provided regarding the influence of bearing oil pad geometric structures on bearing performance.

This paper provides guidance for the design and optimization of the oil pad in hydrostatic thrust bearings. Finally, it outlines the future development trends of the oil pad in hydrostatic thrust bearings and provides prospects for future development trends and key areas of focus for hydrostatic thrust bearings.

An infinite vertical sheet is the medium of inquiry for studying the copper-water nanofluid behavior with an inclined magnetic field and Cogley radiation. The research contains significant aspects. The use of this nanofluid is of great practical importance, especially in the areas of energy efficiency, thermal management, radiative cooling for space technology, environmental impact reduction, and improving heat transfer efficiency in electronic device cooling operations. Moreover, the research enhances the understanding and manipulation of sophisticated materials. The uttermost significance of this resides in its capacity to uncover issues inherent in the stages of planning, developing, analyzing, and improving manufacturing processes, possibly securing new solutions via patent protection.

This research aims to provide a comprehensive analysis of the unsteady natural convection of a nanofluid along an infinite vertical sheet. The study focuses on understanding how an inclined magnetic field, Cogley radiation, heat source, and varying nanoparticle volume concentrations impact the velocity, thermal, and concentration profiles of the nanofluid. Additionally, the investigation seeks to evaluate the Nusselt number, Sherwood number, and skin friction coefficient across different concentration profiles to derive meaningful insights.

The Laplace transform (L.T.) method, in combination with the MATLAB symbolic computing program, is used to develop numerical solutions for the main boundary value issues. The Laplace transform technique is used to clarify dimensionless partial differential equations (PDEs) and their limiting situations. An in-depth study is conducted on the profiles of momentum, energy, and concentration for various kinds of nanofluids with changing volume concentrations of nanoparticles. This research provides a comprehensive examination and also identifies prospective prospects in this field that might be protected by patents.

The work provides an in-depth understanding of how inclined magnetic fields, Cogley radiation, heat generation, and nanoparticle volume concentration affect the velocity, energy, and mass profiles of the nanofluid. Graphical representations depict these effects, offering a visual comprehension of the system's behavior. The Nusselt number and skin friction coefficient are determined by analytical and numerical methods. These findings demonstrate that the Nusselt number and skin friction coefficient have an inverse relationship with changes in concentration profiles.

The work improves our comprehension of the fluctuating natural convection of nanofluids across an unbounded vertical surface, taking into account variables such as an inclined magnetic field, heat source, Cogley radiation, and nanoparticle volume concentration. The practical implications of the discoveries, together with the analytical and numerical results, enhance our comprehension of the dynamics of nanofluid systems. Ensuring the protection and widespread distribution of patented technology is essential for promoting sustainable advancements.

The planting technology of rice mulching and rice transplanting can effectively control weed growth, reduce fertilizer loss, maintain surface temperature, improve fertilizer utilization, reduce the use of pesticides and chemical fertilizer, and is a new mode of green rice cultivation. The rice mulching device is a key component, and the quality of its mulching directly affects the productivity and planting quality of rice. Additionally, obtaining an efficient rice transplanter with an integrated rice transplanter for transplanting and mulching is the hot spot of research in this field.

By analyzing and discussing the patents of rice mulching cultivation technology research and mechanical mulching devices, their development trend is summarized, which provides a reference for the development of rice transplanter mulching devices.

The research status of rice transplanter mulching devices in recent years is summarized, and various mulching devices' structure types and applications are discussed.

By summarizing the patents on rice transplanter mulching devices, the current status of patent applications was obtained, and the problems and future research direction of rice transplanter mulching devices were discussed.

In-depth study of various types of rice transplanter mulching devices, the existing rice transplanter mulching device needs further improvement regarding the laying mechanism, the film-breaking mechanism, and the structural type of the mulching device. With the application of GPS, sensor detection, information processing, automatic control, and other technologies in agricultural machinery, rice transplanter filming is gradually developing in the direction of high speed, automation, and intelligence.

As the demand for strawberries increases, the growing area of strawberries is also increasing. However, the main method of harvesting strawberries is the traditional artificial harvest, so the harvest is the most time-consuming and laborious operation in the production chain.

By summarizing the recent years of strawberry harvest research, some valuable conclusions have been drawn to predict the future development of strobing machinery, providing reference to researchers in relevant fields.

This paper examines the patents of recent strawberry harvesting machinery, by comparing the characteristics of various mechanical structures, to plan the research route of the future strawberry machine.

The emerging problems and future directions of technology are identified through analysis and discussion of existing technologies.

Improvements in its structure alone do not meet the demands of modernization, and strawberry harvesting machines need to be more intelligent and integrated and use more efficient ways. More relevant patents are needed to be invented.