Compliant Mechanism Adaptive Suppression of the Force Fluctuation in Motor-Driven Scratch Testers

IF 9.9 1区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS IEEE Transactions on Industrial Informatics Pub Date : 2025-01-27 DOI:10.1109/TII.2025.3528541
Bo Wang;Haoxiang Wu;Hu Huang;Hongwei Zhao
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Abstract

Scratch testing is an effective technique for evaluating surface mechanical properties of materials. However, for motor-driven scratch testers, the micron-scale axial transmission clearance of ball screws and the millisecond response time of the motor greatly affect the compensation of the normal force, leading to a large fluctuation of the normal force. Accordingly, this study proposed a compliant mechanism adaptive suppression method to adapt to the change in geometric characteristics and mechanical properties of a sample surface, thereby reducing the fluctuation of the normal force. The structural characteristics of the compliant mechanism were discussed, followed by theoretical and simulation analysis to demonstrate the effectiveness of the method. Comparative experiments were performed on materials with heterogeneous mechanical properties and rough surfaces by scratch testers with and without the compliant mechanism. The results confirmed that the proposed method could well suppress the fluctuation of the normal force in motor-driven scratch testers under various experimental conditions.
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在电机驱动的划痕测试仪中采用自适应抑制力波动的顺应机制
划痕试验是评价材料表面力学性能的一种有效方法。然而,对于电机驱动的划痕测试仪,滚珠丝杠的微米级轴向传动间隙和电机的毫秒级响应时间极大地影响了法向力的补偿,导致法向力波动较大。因此,本研究提出了一种柔性机构自适应抑制方法,以适应试样表面几何特性和力学性能的变化,从而减小法向力的波动。讨论了柔性机构的结构特点,并进行了理论和仿真分析,验证了该方法的有效性。采用划痕试验机对具有和不具有柔性机构的非均质材料和粗糙表面进行了对比试验。结果表明,在各种实验条件下,该方法都能很好地抑制电机划痕试验机法向力的波动。
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来源期刊
IEEE Transactions on Industrial Informatics
IEEE Transactions on Industrial Informatics 工程技术-工程:工业
CiteScore
24.10
自引率
8.90%
发文量
1202
审稿时长
5.1 months
期刊介绍: The IEEE Transactions on Industrial Informatics is a multidisciplinary journal dedicated to publishing technical papers that connect theory with practical applications of informatics in industrial settings. It focuses on the utilization of information in intelligent, distributed, and agile industrial automation and control systems. The scope includes topics such as knowledge-based and AI-enhanced automation, intelligent computer control systems, flexible and collaborative manufacturing, industrial informatics in software-defined vehicles and robotics, computer vision, industrial cyber-physical and industrial IoT systems, real-time and networked embedded systems, security in industrial processes, industrial communications, systems interoperability, and human-machine interaction.
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