Li, Q, Yuan, S, Batako, A, Chen, B, Gao, X, Li, Z and Amin, M (2024) Modeling for ultrasonic vibration-assisted helical grinding of SiC particle-reinforced Al-MMCs. International Journal of Advanced Manufacturing Technology, 131 (9-10). pp. 5223-5242. ISSN 0268-3768

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Abstract

Silicon carbide (SiC) particle-reinforced aluminum matrix (SiCp/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 SiCp/Al composites. To achieve the desired quality and efficiency improvements, a comprehensive methodology involving ultrasonic vibration-assisted helical grinding (UVHG) has been implemented for SiCp/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 SiCp/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 SiCp/Al composites. The newly established predictive cutting force model, coupled with the innovative UVHG machining approach, offers promising avenues for effectively machining SiCp/Al composites on an industrial scale. This advancement not only enhances the application potential of SiCp/Al composites but also paves the way for future research and development in this field.

Item Type:	Article
Additional Information:	This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://doi.org/10.1007/s00170-024-13324-1
Uncontrolled Keywords:	01 Mathematical Sciences; 08 Information and Computing Sciences; 09 Engineering; Industrial Engineering & Automation
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Civil Engineering & Built Environment
Publisher:	Springer
SWORD Depositor:	A Symplectic
Date Deposited:	02 May 2024 09:13
Last Modified:	02 May 2024 09:15
DOI or ID number:	10.1007/s00170-024-13324-1
URI:	https://researchonline.ljmu.ac.uk/id/eprint/23160

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