• 学术搜索
  • 科研智能体
    • Research Labs
    • AI 阅读
    • AI 文库
    • 深度研究
    • 学者亮点
  • 学术资源
    • AI2000
    • 期刊/会议
    • 学者库
    • 学术API
    • 溯源树
    • 数据集
  • 知识沉淀
    • 学术空间
订阅小程序
旧版功能
aminer vip
开通会员低至0.73元/天
一次搞定AI科研
立即登录
  • English
  • 联系方式
    RESULTS in ENGinEERinG

    RESULTS in ENGinEERinG

    JournalISSN 2590-1230eISSN 2590-1230中科院 工程技术 2区

    年发文量

    研究主题

    论文(13475)

    排序
    1Three-body Abrasive Wear Behaviour of Heat-Treated Al LM6–Fe
    Sanju H, Mahendramani G,Anupama Hiremath,Jayant Giri, Siddeshkumar NG, Suhas K,Gururaj Bolar, Mohammad Kanan

    This study investigated the three-body abrasive wear behavior of heat-treated and as-cast Al LM6 and its composites reinforced with hematite (Fe 2 O 3 ) particles (0–12 wt.%) under varying loads (2–10 N) and speeds (40–200 rpm). The composites were produced through stir casting, a scalable and resource-efficient manufacturing technique suitable for automotive engineering applications. Microstructural examination revealed a dichotomy in the reinforcement effects: lower levels (3–6 wt.% Fe 2 O 3 ) promoted uniform particle dispersion, strong interfacial bonding, and minimal porosity, while higher levels (≥9 wt.%) led to particle agglomeration, micro void development, and decreased matrix cohesion. According to the quantitative wear data, the weight loss increased with the applied stress but decreased with increasing Fe 2 O 3 content. The as-purchased LM6 exhibited the highest wear (∼2.5 mg) at 10 N, whereas the LM6+12%Fe 2 O 3 heat-treated composite showed the lowest wear (∼0.5 mg). The findings demonstrated that while increasing the sliding speed decreased the weight loss by approximately 15–30%, increasing the applied stress enhanced the weight loss by approximately 20–35%. In comparison to similar as-cast composites, increasing the Fe 2 O 3 content decreased the weight loss by approximately 25–35%, while heat treatment resulted in an additional 10–20% reduction. Overall, the three-body abrasive wear resistance of the LM6 composites was significantly improved by the combination of heat treatment and Fe 2 O 3 reinforcement. The wear loss decreased with increasing rotational speed, and the best performance was shown by the LM6+12% Fe 2 O 3 heat-treated composite at 200 rpm. In all scenarios, heat treatment reduced the weight loss by 30–45%. The contributions of the matrix hardness, improved particle–matrix bonding, and protective tribo-layer development were highlighted by the SEM images of the worn surfaces. These findings collectively demonstrate that optimal reinforcement levels (6–9 wt.% Fe 2 O 3 ) combined with heat treatment significantly enhance the wear resistance of Al LM6 composites, supporting the development of durable, lightweight, and sustainable aluminum composites for automotive components, thereby contributing to extended service life and reduced material consumption. The main innovation of this study is the use of naturally occurring hematite (Fe₂O₃) as an affordable and sustainable substitute for traditional Al₂O₃/ZrB₂ reinforcements. It also establishes the coupled effects of load, sliding speed, and heat treatment, and clarifies the three-body abrasive wear mechanism.

    2026
    引用
    AI阅读
    加入学术空间
    2GenCrane: Generative Tower Crane Layout Planning Through BIM-Driven Multi-Objective Optimization Using NSGA-II
    Suphawut Malaikrisanachalee, Narongrit Wongwai, Wittaya Srisomboon, Thanapat Sripart
    2026
    引用
    AI阅读
    加入学术空间
    3A Hysteretic Performance Prediction Model for Steel–Concrete Composite Structures Integrating Physical Processes and Machine Learning
    Ding Wei,Jia Suizi
    2026
    引用
    AI阅读
    加入学术空间
    4Influence of the Afterburning Effect of Aluminum on the Quasi-Static Pressure in Confined Explosions: Experimental Characterization, Theoretical Modeling and Simulation
    Jun-bao Li, Wei Xiao
    2026
    引用
    AI阅读
    加入学术空间
    5Mechanism-Prior Guided Domain Generalization for Rotating Machinery Fault Diagnosis under Unseen Operating Conditions
    Wenlong Fan, Zhaokun Liu, Hongtu You, Ziyi Shi,Shuang Liu,Kun Yang,Linyan Xue,Shilong Chang
    2026
    引用
    AI阅读
    加入学术空间
    立即登录,查看全部 13475 篇论文

    高被引作者

    作者引用发文
    Samad Noeiaghdam99921
    Muhammad Yasir Khalid8034
    Sameer Algburi69917
    Fethi Abbassi6753
    Furqan Ahmad6701
    Christian Garnier6701
    Mondher Nasri6701
    Habibi Mohamed6701
    Ans Al Rashid6526
    Ibham Veza6266

    高产作者

    作者引用发文
    Ali Basem M. Ali47630
    Oscar Danilo Montoya Giraldo33128
    Mahyar Arabani50825
    Mohit Bajaj60625
    Yuvarajan Devarajan52723
    Vojtech Blazek55223
    Samad Noeiaghdam99921
    Jayant Giri14320
    Wissam H Alawee56120
    Shinya Inazumi12519

    相关期刊

    Cogent engineering
    Journal of Energy Storage
    Sustainable Energy Technologies and Assessments
    Case Studies in Thermal Engineering
    Ain Shams Engineering Journal
    Arabian Journal for Science and Engineering
    Alexandria Engineering Journal
    Materials Today: Proceedings
    ENGINEERING RESEARCH EXPRESS
    SN APPLIED SCIENCES