Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

In this study, the water-jet-guided laser (WJGL) method was used to cut Inconel 718 alloy with high temperature resistance. The effect of critical parameters of the water-jet-guided laser machining method on the cutting depth was studied by a Taguchi orthogonal experiment. Furthermore, the mathematical prediction model of cutting depth was established by the response surface method (RSM). The validation experiments showed that the mathematical model had a high predictive ability for cutting depth. The optimal cutting depth was obtained by model prediction, and the error was 5.5% compared with the experimental results. Compared with the traditional dry laser cutting, the water conducting laser method reduced the thermal damage and improved the cutting quality. This study provides a reference for the precision machining of Inconel 718 with a water-jet-guided laser.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965905PMC
http://dx.doi.org/10.3390/mi14020234DOI Listing

Publication Analysis

Top Keywords

cutting depth
20
water-jet-guided laser
16
inconel 718
12
laser cutting
8
response surface
8
cutting
7
laser
6
depth
5
modeling prediction
4
water-jet-guided
4

Similar Publications

Advancements and perspectives on organelle-targeted fluorescent probes for super-resolution SIM imaging.

Chem Sci

September 2025

Institute of Optical Materials and Chemical Biology, Guangxi Key Laboratory of Electrochemical Energy Materials, School of Chemistry and Chemical Engineering, Guangxi University Nanning Guangxi 530004 China

As a cutting-edge super-resolution imaging technique, structured illumination microscopy (SIM) has been widely used in cell biology research, especially in the analysis of subcellular organelles and monitoring of their dynamic processes. Through multiple illumination and reconstruction processes, SIM breaks through the resolution limitations of traditional microscopes and can observe the fine structures within cells in real time with nanoscale resolution. This provides strong technical support for in-depth analyses of molecular mechanisms, organelle functions, signaling networks, and metabolic regulatory pathways within cells.

View Article and Find Full Text PDF

In the context of the escalating global emphasis on healthy food and sustainable development, non-covalent assembly systems formed between proteins and polysaccharides have garnered substantial attention. As natural biomolecules, proteins and polysaccharides synergize to form multiscale complexes through mechanisms such as electrostatic interactions, hydrophobic interactions, and hydrogen bonding, thus exhibiting enhanced stability and functionality. This review identifies five major research hotspots in this field using bibliometric analysis, covering complex formation mechanisms, performance enhancement strategies, and application-expansion directions.

View Article and Find Full Text PDF

Curcumin, a natural polyphenolic compound derived from , has shown great potential in the prevention and treatment of chronic inflammatory diseases due to its significant antioxidant and anti-inflammatory properties. This article aims to systematically review the anti-inflammatory molecular mechanism, clinical application prospects and challenges of curcumin. By searching the databases of Web of Science, PubMed, Google Scholar and CNKI, and integrating the latest research progress, it was found that curcumin exerted its core anti-inflammatory effects mainly by inhibiting the activation of nuclear factor-κB (NF-κB) signaling pathway, regulating the mitogen-activated protein kinase extracellular signal-regulated kinase (ERK) phosphorylation cascade, and regulating the Janus kinase/signal transducer and activator of transcription (JAK/STAT) pathway.

View Article and Find Full Text PDF

Driver fatigue is a major contributor to traffic accidents, leading to increased fatality rates and severe damage compared to incidents involving alert drivers. Electroencephalography (EEG) has emerged as a widely used method for detecting driver fatigue due to its ability to capture brain activity patterns. This survey provides a thorough analysis of devices that detect driver fatigue using EEG, analyzing existing methodologies, challenges, and future research directions.

View Article and Find Full Text PDF

Background: Photon-counting computed tomography (CT) bears promise to substantially improve spectral and spatial resolution. One reason for the relatively slow evolution of photon-counting detectors in CT-the technology has been used in nuclear medicine and planar radiology for decades-is pulse pileup, that is, the random staggering of pulses, resulting in count loss and spectral distortion, which in turn cause image bias and reduced contrast-to-noise ratio (CNR). The deterministic effects of pileup can be mitigated with a pileup-correction algorithm, but the loss of CNR cannot be recovered, and must be minimized by hardware design.

View Article and Find Full Text PDF