Journal of advanced manufacturing and processing最新文献

Haptic devices, crucial in human-computer interaction, replicate tactile sensations through stresses, vibrations, or movements. Integrating 3D (three-dimensional) printing technology has significantly enhanced haptic design, application development, and system performance. This study explores various 3D-printable materials for haptic devices, emphasizing their mechanical qualities, flexibility, and practical use. Rigid polymers like PLA (Polylactic acid) and ABS (Acrylonitrile Butadiene Styrene) ensure structural integrity, while flexible materials like TPU (Thermoplastic Polyurethane) and silicone-based resins mimic human skin's tactile perception. 3D printing improves the precision of mechanical actuators, sensors, and responsive materials used in haptic feedback, allowing rapid prototyping and unique shapes. The advancements in haptic devices, driven by 3D printing, enable the creation of personalized components that meet specific user needs. In healthcare, these devices are used for surgical training, organ and limb replacement, and physiotherapy. In virtual and augmented reality, haptic feedback enhances user interaction. The aerospace and defense industries utilize haptic devices for simulation, remote operations, and communication, while consumer electronics benefit from increased engagement and improved product quality. The synergy between material science and 3D printing leads to more efficient, accessible, and versatile haptic systems, advancing touch feedback technology and offering innovative solutions for human-machine interfaces.

As supply chain resilience becomes a growing priority across industries, there emerges a need for decision support tools for advanced manufacturing planning under uncertainty. The pharmaceutical industry is a representative case, with manufacturers catering for emerging gene therapy and vaccine applications reporting delays and shortages in recent years due to the unforeseen pandemic, the need to rapidly re-purpose manufacturing resources, combined with uncertain process performance of established capacity. Whilst process uncertainty is often quantifiable, tackling unforeseen demands requires the establishment of flexible production platforms. To this end, we present a framework for the quantification of network design flexibility integrating quantified process uncertainty. Network reliability metrics are quantified through scenario-based chance constraint programming and solution quality is tested via Monte Carlo simulation. Cost-reliability plots are obtained to pinpoint the required costs and capacity to meet a target probability of product demand satisfaction. Given an upper bound in cost and fixed design, the tool is also used to map out a feasible solutions space, quantifying maximum network reliability. Improving network reliability with this proactive approach supports supply chain resilience, as the impact of unexpected events can be understood and mitigated a priori.

This study investigates the physicochemical characteristics of two local varieties of orange processing waste to assess their potential as biofuel feedstocks. The raw material was pretreated in an autoclave using steam explosion and dilute acid hydrolysis at 121°C and 1 bar, with 0.5% sulfuric acid and a 2% substrate concentration for 20 min. Fermentation was carried out with Saccharomyces cerevisiae under anaerobic conditions. The highest total sugar content was observed in the Valencia Late variety (49.33% ± 0.78% dry weight), compared to 44.04% ± 1.32% for Double Fine. Distillate volumes were 25 mL for Valencia Late and 27 mL for Double Fine, corresponding to ethanol yields of 5.0% (v/v) and 5.4% (v/v), respectively. Furthermore, gas chromatography analysis of the ethanol indicated retention times of 1.379 and 1.385 for Valencia and Double Fine, respectively, closely aligning with the standard retention time of 1.380. These findings demonstrate that orange peel lignocellulosic biomass presents a promising source for the production of second-generation bioethanol.

Electrically heated high temperature process furnaces, when powered by renewable energy, are a promising technology for decarbonized chemical production. Although heat transfer, and in relevant cases coupled reaction modeling, is a well-known problem, the geometrical complexity of using (potentially miles of) resistive heating elements to generate heat for large industrial production furnaces makes the problem computationally intractable for multi-physics software and computer hardware affordable for use in furnace design. The so-called “effective emissivity” concept—the value of a flat radiant wall that would predict the electric heating element temperature were the heating elements to be included—simplifies the model for practical use. It allows prediction of the heating element temperature, which is critical to the element's operating life. A method to directly determine this parameter was developed by examining the mathematical structure of the radiant heat transfer problem. With this method, the effective emissivity is only a function of the problem geometry and the emissivity of the electric heating element material. The geometry inputs are in the form of surface areas and view factors. The method fully accounts for the 3-dimensional structure of commercial electric heating solutions.

In regions with a low oscillatory Reynolds number, an oscillatory baffled reactor (OBR) exhibits the folding and stretching of fluid, resulting in the mixing observed within the baffle sections. In this study, an analysis of the mixing mechanism and an evaluation of mixing performance were conducted using experimental methods and numerical simulations to visualize the boundary between the liquid phases and track its shape changes. The ratio of oscillation stroke to baffle interval length, the open ratio of the baffle's cross-sectional area, and the length of the baffle intervals were varied. A glycerin-water solution was used, and the boundary line was colored with rhodamine, forming a film-like layer at the orifice, which was then visualized using sheet laser fluorescence. Oscillatory flow was applied, and changes in the length of the boundary line and the boundary area were measured for one oscillation cycle. For the numerical calculations, the velocity field was first computed, followed by the arrangement of virtual particles to represent the boundary line. The shape of the boundary line obtained from the experiments was consistent with the simulation results, and the trends in the length of the boundary lines for the first cycle were generally consistent as well. Therefore, the experimental results confirmed that the boundary area increases exponentially, consistent with the simulation results.

Currently, the most widely used and commercially available templates for the electrodeposition of one-dimensional (1D) metal structures are anodic aluminum oxide (AAO) and polycarbonate track etched (PCTE) templates. Due to technical limitations in the fabrication process of these templates, their thickness is restricted to a few tens of microns (typically not exceeding 60 μm). However, some applications, such as advanced seal applications, require one-dimensional structures that are longer, up to hundreds of microns. In this study, polydimethylsiloxane (PDMS) templates with a thickness of 200 ~ 300 μm were prepared and used for the electrodeposition of Cu microwires (MWs) for the first time. The technical processes demonstrated here can be extended to prepare other 1D metal structures with customized geometry, length, diameter, and density, paving the way for new applications of 1D metal structures. Additionally, a scratch test was conducted on the synthesized Cu MWs array to examine the bonding strength of the Cu MWs array to the Cu substrate. The results showed that the Cu MWs array has a very strong bonding strength to its underlying Cu substrate, such that no delamination of Cu MWs occurred under a normal load of 3 N during scratch testing.