Disassembly sequencing is important for remanufacturing and recycling used or discarded products. AND/OR graphs (AOGs) have been applied to describe practical disassembly problems by using "AND" "OR" nodes. An AOG-based sequence planning problem an NP-hard combinatorial optimization problem. Heuristic evolution methods can be adopted handle it. While precedence relationship issues addressed, OR (exclusive OR) relations are not well addressed the existing heuristic methods. Thus, ineffective...

The green design of electromechanical products is a pivotal link to manufacturing industry. question on how must be answered by excellent designers using both advanced methods and effective assessment techniques alternatives. Making an objective precise designs increasing importance ensure sustainable development. This work proposes framework based the combination analytical hierarchy process (AHP), gray correlation (GC), technique for order performance similarity ideal solution (TOPSIS)...

Green material selection is a crucial step for the industry to comprehensively improve properties and promote sustainable development. However, because of subjectivity conflicting evaluation criteria in its process, green selection, as multi-criteria decision making (MCDM) problem, has been widespread concern relevant experts. Thus, this study proposes hybrid MCDM approach that combines laboratory (DEMATEL), analytical network process (ANP), grey relational analysis (GRA) technique order...

Train driver fatigue and distraction are the main reasons for railway accidents. One of new technologies to monitor drivers is by using EEG signals, which provides vital signs monitoring distraction. However, systems involving full-head scalp time-consuming uncomfortable driver. The aim this study was evaluate suitability recently introduced forehead train detection. We first constructed a unique dataset with experienced driving in simulated environment. signals were collected from an...

Short-fiber-reinforced thermoplastics are popular for improving the mechanical properties exhibited by pristine thermoplastic materials. Due to inherent conflict between strength and ductility, there only a few successful cases of simultaneous enhancement these two in polymer composite components. The objective this work was explore feasibility ductility ABS-based composites with short-carbon Kevlar fiber reinforcement material extrusion 3D printing (ME3DP). Microstructure characterization...

With the increasing speed of railway vehicles, deciding how to reasonably distribute impact energy each vehicle has been a widespread concern in safety protection systems. This article formulates three-dimensional train-track coupling dynamics model using MAthematical DYnamic MOdels (MADYMO) multibody software. A train-to-train collision is then simulated this model. hybrid solution methodology that combines non-dominated sorting genetic algorithm II (NSGA-II), modified best and worst method...

3D-printed composites reinforced with continuous carbon fibers have great potential to be adopted in various engineering fields, e.g., urban rail transit and aerospace. However, different manufacturing processes of 3D printing impacts on the properties composites. The optimal material selection meet given practical demands usually requires that a compromise is struck between conflicting criteria. This paper studies mechanical polyamide-based composite combined short establishes systematic...

Design for disassembly (DFD) is a basic design technology serving the scrap and recycling stages, which can relieve environmental pressure improve economic benefits. Considering wide variety of mechanical products shortening product lifecycle, integrating customer requirements effectively market competitiveness products. Thus, this paper proposes QFD-based human-centric decision-making approach scheme selection. The theory interval 2-tuple q-rung orthopair fuzzy sets (I2q-ROFSs) proposed to...

To investigate the impact response and damage mechanism of CFRP composite materials for high-speed trains under from foreign objects different shapes sizes, experiments simulations were conducted on laminate at a velocity 163m/s. A finite element simulation model was established in Abaqus/Explicit. This adopts 3D-Hashin failure criterion considering strain rate effects to simulate fibers matrix. Bonded elements with zero thickness inserted along fiber direction replicate phenomena bundle...

Abstract Experimental and simulation studies of the response bonded‐repaired scarf‐repaired carbon fiber‐reinforced polymer laminates under low‐velocity impact (LVI) were carried out. The center‐ eccentric‐repaired prepared for experiments. experimental results verify validity finite element model in terms force different modes damage. effect energy variation repair position on laminate was investigated based benchmark model. bonded repaired have higher peak forces lower absorption than...

AbstractWith the development of railway technology, high-speed trains have been invested in practical operation increasingly. The traffic accident that train runs at high speed will cause casualties and property losses. energy absorption tube can effectively alleviate damage vehicle collision process protect passengers buffering process. In this paper, nested corrugation square energy-absorbing tubes (NCSTs) with circumferentially cosine profile different inner structures are analyzed by...

Bio-inspired cellular structures provide excellent elements and design concepts for designing thin-walled energy-absorbing of vehicles, trains aircrafts, due to their special structural characteristics mechanical properties. This study conducts a literature review bio-inspired with double-circular shape multi-objective optimization problems structures. A multi-stage cooperative algorithm, which combines the theories multi-criteria decision making, is proposed solving selection...

Natural image generation models are crucial in computer vision. However, the Variational Autoencoder (VAE) has limitations quality and diversity, while β-VAE achieves a balance between decoupling of latent space generative by adjusting coefficient β. This article evaluates performance natural reconstruction tasks, comparing it with Conditional VAE Information VAE. Train model on CelebA dataset, using three metrics: Mean Squared Error (MSE), Structural Similarity Index (SSIM), Fréchet...

Currently, triboelectric nanogenerators (TENGs) based on chitosan materials face challenges such as limited output power and suboptimal mechanical performance, restricting their application in biodegradable wearable devices smart homes. Quartz fiber, an inorganic amorphous dielectric material known for its excellent robustness, thermal resilience, electrical insulating characteristics, can positively impact the charge properties of films. Therefore, innovative chitosan/quartz fiber TENG...