Brittle–ductile transition model for ultrasonic vibration–assisted blade dicing

IF 9.4 1区 工程技术 Q1 ENGINEERING, MECHANICAL International Journal of Mechanical Sciences Pub Date : 2025-03-31 DOI:10.1016/j.ijmecsci.2025.110196
Hanwei Teng , Shuo Chen , Rendi Kurniawan , Shujian Li , Changping Li , Moran Xu , Jielin Chen , Tae Jo Ko
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Abstract

The critical machining parameters of the brittle–ductile transition (BDT) play a crucial role in enabling ductile-mode machining of brittle materials. Ultrasonic vibration–assisted blade dicing (UVABD) enhances machining quality significantly compared to conventional dicing methods. Nevertheless, radial ultrasonic vibration complicates the motion trajectories of the irregular grains on the dicing saw, making it difficult to predict the critical machining parameters. A comprehensive model that can predict critical machining parameters for BDT in UVABD has yet to be developed. In this paper, a mathematical model is proposed to predict the critical machining parameters for BDT in UVABD, considering the actual grain geometric characteristics and the interactions among multiple grains affected by ultrasonic vibration. The model was validated through experiments on single-crystal silicon wafers. A combined numerical and experimental method was used to comprehensively investigate the critical machining parameters for BDT. The results indicate that material removal in UVABD primarily involves plastic ploughing and brittle fracture. The proposed model's predictions agreed well with the experimental results, with the average relative error being 10.7 %. Finally, the model was applied to examine how machining parameters influence the critical machining parameters for BDT. Higher spindle speeds and vibration amplitudes, combined with lower feed rates and dicing depths, were found to facilitate the realization of ductile machining. This study establishes a theoretical foundation for ductile machining in UVABD and offers new insights into the BDT mechanism of brittle materials under UVABD.

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超声波振动辅助叶片切割的脆-韧性转变模型
脆性材料的脆性-韧性转变(BDT)的关键加工参数对实现脆性材料的韧性模式加工起着至关重要的作用。超声振动辅助刀片切割(UVABD)与传统切割方法相比,可显著提高加工质量。然而,径向超声振动使不规则晶粒在锯片上的运动轨迹变得复杂,使关键加工参数的预测变得困难。在UVABD中,可预测BDT关键加工参数的综合模型尚未建立。在UVABD中,考虑到实际晶粒的几何特性和受超声振动影响的多晶粒之间的相互作用,提出了一种预测BDT关键加工参数的数学模型。通过在单晶硅片上的实验验证了该模型的有效性。采用数值与实验相结合的方法,对BDT的关键加工参数进行了全面研究。结果表明,UVABD的材料去除主要包括塑性犁耕和脆性断裂。该模型的预测结果与实验结果吻合良好,平均相对误差为10.7%。最后,应用该模型考察了加工参数对BDT关键加工参数的影响。较高的主轴转速和振动幅值,加上较低的进给速度和切削深度,有利于实现延性加工。该研究为UVABD下的韧性加工奠定了理论基础,并为脆性材料在UVABD下的BDT机理提供了新的认识。
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来源期刊
International Journal of Mechanical Sciences
International Journal of Mechanical Sciences 工程技术-工程:机械
CiteScore
12.80
自引率
17.80%
发文量
769
审稿时长
19 days
期刊介绍: The International Journal of Mechanical Sciences (IJMS) serves as a global platform for the publication and dissemination of original research that contributes to a deeper scientific understanding of the fundamental disciplines within mechanical, civil, and material engineering. The primary focus of IJMS is to showcase innovative and ground-breaking work that utilizes analytical and computational modeling techniques, such as Finite Element Method (FEM), Boundary Element Method (BEM), and mesh-free methods, among others. These modeling methods are applied to diverse fields including rigid-body mechanics (e.g., dynamics, vibration, stability), structural mechanics, metal forming, advanced materials (e.g., metals, composites, cellular, smart) behavior and applications, impact mechanics, strain localization, and other nonlinear effects (e.g., large deflections, plasticity, fracture). Additionally, IJMS covers the realms of fluid mechanics (both external and internal flows), tribology, thermodynamics, and materials processing. These subjects collectively form the core of the journal's content. In summary, IJMS provides a prestigious platform for researchers to present their original contributions, shedding light on analytical and computational modeling methods in various areas of mechanical engineering, as well as exploring the behavior and application of advanced materials, fluid mechanics, thermodynamics, and materials processing.
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