12 research outputs found

    Unraveling microforging principle during in situ shot-peening-assisted cold spray additive manufacturing aluminum alloy through a multi-physics framework

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    Wang Q., Ma N., Shi J., et al. Unraveling microforging principle during in situ shot-peening-assisted cold spray additive manufacturing aluminum alloy through a multi-physics framework. Materials and Design 236, 112451 (2023); https://doi.org/10.1016/j.matdes.2023.112451.Cold spray (CS) is a highly potential solid-state additive manufacturing (AM) technique. In situ shot-peening-assisted CSAM was proposed to additively manufacture fully dense deposits using cost-effective and renewable nitrogen gas. The role of in situ shot-peening particles is critical but remains unclear. Here, the process was quantitatively modeled to visualize the dynamic deformation, energy conversion, as well as cell/sub-grain size and microhardness evolutions, compared to those during the conventional CSAM process, identifying the key role of in situ shot-peening particles in the AA6061 extreme deformation and microstructure characteristics during in situ shot-peening-assisted CSAM. High-fidelity modeling was verified fully by comparing the experimental and model-reproduced deformation profiles, cell/sub-grain size distributions, and increases in microhardness. The results show that the kinetic energy of in situ shot-peening particles was 470 times higher and dissipated mainly through AA6061 plastic deformation (86.36% of total energy), leading to significant enhancement of microhardness and tensile strength. Moreover, the mixing ratio of large-size SS410 particles required to create a fully dense deposit was evaluated from an energy perspective, in good agreement with the experiment. This study elucidates the microforging principle during in situ shot-peening-assisted CSAM, providing scientific guidelines for high-quality and low-cost CSAM of high-strength aluminum alloys

    Down-Regulation of Cytokinin Receptor Gene <i>SlHK2</i> Improves Plant Tolerance to Drought, Heat, and Combined Stresses in Tomato

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    Environmental stresses negatively affect the growth and development of plants. Several previous studies have elucidated the response mechanisms of plants to drought and heat applied separately; however, these two abiotic stresses often coincide in environmental conditions. The global climate change pattern has projected that combined drought and heat stresses will tend to increase in the near future. In this study, we down-regulated the expression of a cytokinin receptor gene SlHK2 using RNAi and investigated the role of this gene in regulating plant responses to individual drought, heat, and combined stresses (drought + heat) in tomato. Compared to the wild-type (WT), SlHK2 RNAi plants exhibited fewer stress symptoms in response to individual and combined stress treatments. The enhanced abiotic stress tolerance of SlHK2 RNAi plants can be associated with increased membrane stability, osmoprotectant accumulation, and antioxidant enzyme activities. Furthermore, photosynthesis machinery was also protected in SlHK2 RNAi plants. Collectively, our results show that down-regulation of the cytokinin receptor gene SlHK2, and consequently cytokinin signaling, can improve plant tolerance to drought, heat, and combined stress

    Comprehensive Identification and Expression Analysis of the YTH Family of RNA-Binding Proteins in Strawberry

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    Plant growth and development processes are tightly regulated at multiple levels, including transcriptional and post-transcriptional levels, and the RNA-binding protein YTH regulates gene expression during growth and development at the post-transcriptional level by regulating RNA splicing, processing, stability, and translation. We performed a systematic characterization of YTH genes in diploid forest strawberry and identified a total of nine YTH genes. With the help of phylogenetic analysis, these nine genes were found to belong to two different groups, YTHDC and YTHDF, with YTHDF being further subdivided into three subfamilies. Replication analysis showed that YTH3 and YTH4 are a gene pair generated by tandem repeat replication. These two genes have similarities in gene structure, number of motifs, and distribution patterns. Promoter analysis revealed the presence of multiple developmental, stress response, and hormone-response-related cis-elements. Analysis of available transcriptome data showed that the expression levels of most of the YTH genes were stable with no dramatic changes during development in different tissues. However, YTH3 maintained high expression levels in all tissues and during fruit development, and YTH4 was expressed at higher levels in tissues such as flowers, leaves, and seedlings, while it was significantly lower than YTH3 in white fruits and ripening fruits with little fluctuation. Taken together, our study provides insightful and comprehensive basic information for the study of YTH genes in strawberry

    Genome-Wide Characterization and Expression Profiling of HD-Zip Genes in ABA-Mediated Processes in <i>Fragaria vesca</i>

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    Members of homeodomain-leucine zipper (HD-Zip) transcription factors can play their roles by modulating abscisic acid (ABA) signaling in Arabidopsis. So far, our knowledge of the functions of HD-Zips in woodland strawberries (Fragaria vesca), a model plant for studying ABA-mediated fruit ripening, is limited. Here, we identified a total of 31 HD-Zip genes (FveHDZ1-31) in F. vesca, and classified them into four subfamilies (I to IV). Promoter analyses show that the ABA-responsive element, ABRE, is prevalent in the promoters of subfamily I and II FveHDZs. RT-qPCR results demonstrate that 10 of the 14 investigated FveHDZs were consistently >1.5-fold up-regulated or down-regulated in expression in response to exogenous ABA, dehydration, and ABA-induced senescence in leaves. Five of the six consistently up-regulated genes are from subfamily I and II. Thereinto, FveHDZ4, and 20 also exhibited significantly enhanced expression along with increased ABA content during fruit ripening. In yeast one-hybrid assays, FveHDZ4 proteins could bind the promoter of an ABA signaling gene FvePP2C6. Collectively, our results strongly support that the FveHDZs, particularly those from subfamilies I and II, are involved in the ABA-mediated processes in F. vesca, providing a basis for further functional characterization of the HD-Zips in strawberry and other plants

    Unraveling microforging principle during in situ shot-peening-assisted cold spray additive manufacturing aluminum alloy through a multi-physics framework

    No full text
    Cold spray (CS) is a highly potential solid-state additive manufacturing (AM) technique. In situ shot-peening-assisted CSAM was proposed to additively manufacture fully dense deposits using cost-effective and renewable nitrogen gas. The role of in situ shot-peening particles is critical but remains unclear. Here, the process was quantitatively modeled to visualize the dynamic deformation, energy conversion, as well as cell/sub-grain size and microhardness evolutions, compared to those during the conventional CSAM process, identifying the key role of in situ shot-peening particles in the AA6061 extreme deformation and microstructure characteristics during in situ shot-peening-assisted CSAM. High-fidelity modeling was verified fully by comparing the experimental and model-reproduced deformation profiles, cell/sub-grain size distributions, and increases in microhardness. The results show that the kinetic energy of in situ shot-peening particles was 470 times higher and dissipated mainly through AA6061 plastic deformation (86.36% of total energy), leading to significant enhancement of microhardness and tensile strength. Moreover, the mixing ratio of large-size SS410 particles required to create a fully dense deposit was evaluated from an energy perspective, in good agreement with the experiment. This study elucidates the microforging principle during in situ shot-peening-assisted CSAM, providing scientific guidelines for high-quality and low-cost CSAM of high-strength aluminum alloys

    Frictional heat induced morphological responses at the interface in rotary friction welding of austenitic alloys: corona-bond and heat-pattern

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    Frictional heat induced morphological responses of austenitic alloys SUS304, A286, and Inconel 718 at the interface in rotary friction welding was focused in this study, addressing initiation, evolution of corona-bond and the formation of heat-pattern. Summative models that describe the location and width of corona-bond at initiation, the corona-bond evolution mode and the formation of heat-patterns were given. The results show that when the corona-bond initiates at 0.33 R ∼ R, it fills the interface to form a lens-shaped heat-pattern. Inside this morphology, recrystallized ultrafine grains are formed to provide a superior performance. When the corona-bond initiates at 0–0.33 R with a width >0.4 R, it spreads to periphery to form a straight-line-shaped heat-pattern. Inside this heat-pattern, deformed grains and sub-boundaries are formed. The tensile strength of straight-line heat-pattern is lower than that of lens-shaped heat-pattern. When the corona-bond initiates at 0–0.33 R with a width ≤0.4 R, it does not spread but concentrates itself at center to form a spindle-shaped heat-pattern consisted of a ‘spindle body’ at center and a ‘friction line’ at periphery. Spindle body corresponds to a region made up of equiaxed recrystallized ultrafine grains, whereas the friction line corresponds to recrystallized grains and substructured grains. The formation of the friction line makes neglectable effect on local the strength but it does lower the elongation, where the local elongation of the friction line decreases to 6%–9% compared to 18% of a spindle body

    Identification of a Fibroblast-Related Prognostic Model in Glioma Based on Bioinformatics Methods

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    Background: Glioma is the most common primary tumor of the central nervous system with a high lethality rate. This study aims to mine fibroblast-related genes with prognostic value and construct a corresponding prognostic model. Methods: A glioma-related TCGA (The Cancer Genome Atlas) cohort and a CGGA (Chinese Glioma Genome Atlas) cohort were incorporated into this study. Variance expression profiling was executed via the “limma” R package. The “clusterProfiler” R package was applied to perform a GO (Gene Ontology) analysis. The Kaplan–Meier (K–M) curve, LASSO regression analysis, and Cox analyses were implemented to determine the prognostic genes. A fibroblast-related risk model was created and affirmed by independent cohorts. We derived enriched pathways between the fibroblast-related high- and low-risk subgroups using gene set variation analysis (GSEA). The immune infiltration cell and the stromal cell were calculated using the microenvironment cell populations-counter (MCP-counter) method, and the immunotherapy response was assessed with the SubMap algorithm. The chemotherapy sensitivity was estimated using the “pRRophetic” R package. Results: A total of 93 differentially expressed fibroblast-related genes (DEFRGs) were uncovered in glioma. Seven prognostic genes were filtered out to create a fibroblast-related gene signature in the TCGA-glioma cohort training set. We then affirmed the fibroblast-related risk model via TCGA-glioma cohort and CGGA-glioma cohort testing sets. The Cox regression analysis proved that the fibroblast-related risk score was an independent prognostic predictor in prediction of the overall survival of glioma patients. The fibroblast-related gene signature revealed by the GSEA was applicable to the immune-relevant pathways. The MCP-counter algorithm results pointed to significant distinctions in the tumor microenvironment between fibroblast-related high- and low-risk subgroups. The SubMap analysis proved that the fibroblast-related risk score could predict the clinical sensitivity of immunotherapy. The chemotherapy sensitivity analysis indicated that low-risk patients were more sensitive to multiple chemotherapeutic drugs. Conclusion: Our study identified prognostic fibroblast-related genes and generated a novel risk signature that could evaluate the prognosis of glioma and offer a theoretical basis for clinical glioma therapy
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