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The International Journal of Advanced Manufacturing Technology

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04.03.2024 | ORIGINAL ARTICLE

Modeling for ultrasonic vibration-assisted helical grinding of SiC particle-reinforced Al-MMCs

verfasst von: Qilin Li, Songmei Yuan, Andre Batako, Bochuan Chen, Xiaoxing Gao, Zhen Li, Muhammad Amin

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 9-10/2024

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Abstract

Silicon carbide (SiC) particle-reinforced aluminum matrix (SiC_p/Al) composites are increasingly finding applications across a range of industries due to their exceptional mechanical properties. However, these composites often face challenges in achieving optimal machinability and meeting quality standards, primarily due to the presence of SiC particles, which can hinder their full potential. This study focuses on addressing these challenges through the application of ultrasonic vibration-assisted helical grinding (UVHG) to enhance the efficiency and quality of SiC_p/Al composites. To achieve the desired quality and efficiency improvements, a comprehensive methodology involving ultrasonic vibration-assisted helical grinding (UVHG) has been implemented for SiC_p/Al composites. A mechanical cutting force model was then developed to accurately predict grinding forces. The grinding force was deconstructed into distinct components: friction force, plastic deformation force, and fracture force, taking into account the underlying material removal mechanisms. To better understand the grinding force associated with a single diamond abrasive grit, parameters such as undeformed chip thickness and cross-sectional area were calculated and subsequently extrapolated to the entire tool. Introducing an innovative approach, the model incorporates the concept of an acoustic softening coefficient, which quantifies the reduction in deformation stress resulting from ultrasonic vibration. This coefficient serves to correct and account for the influence of ultrasonic vibration on the properties of SiC_p/Al composites. Experimental machining using the UVHG technique was conducted across various test groups. The experimental outcomes aligned closely with the predicted cutting force values, with a deviation of only 5.07%. This alignment underscores the accuracy of the proposed model and its potential as a guiding framework for optimizing the grinding process of SiC_p/Al composites. The newly established predictive cutting force model, coupled with the innovative UVHG machining approach, offers promising avenues for effectively machining SiC_p/Al composites on an industrial scale. This advancement not only enhances the application potential of SiC_p/Al composites but also paves the way for future research and development in this field.

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Titel: Modeling for ultrasonic vibration-assisted helical grinding of SiC particle-reinforced Al-MMCs
verfasst von: Qilin Li
Songmei Yuan
Andre Batako
Bochuan Chen
Xiaoxing Gao
Zhen Li
Muhammad Amin
Publikationsdatum: 04.03.2024
Verlag: Springer London
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 9-10/2024
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-024-13324-1

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