Prediction model of tool wear volume in precision turning of ceramic particle reinforced aluminum matrix composites

Liu, H.Z.; Zong, Wenjun

doi:10.1007/s00170-018-2853-5

Cited by 24 publications

(8 citation statements)

References 37 publications

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“…Numerical simulations have found broad applications in many areas of engineering for predicting wear of various components, including wheel-rail pairs [678], cutting tools [679], artificial joints [680], and bearings [681], etc.…”

Section: Other Developments and Applicationsmentioning

confidence: 99%

A review of recent advances in tribology

et al. 2020

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The reach of tribology has expanded in diverse fields and tribology related research activities have seen immense growth during the last decade. This review takes stock of the recent advances in research pertaining to different aspects of tribology within the last 2 to 3 years. Different aspects of tribology that have been reviewed including lubrication, wear and surface engineering, biotribology, high temperature tribology, and computational tribology. This review attempts to highlight recent research and also presents future outlook pertaining to these aspects. It may however be noted that there are limitations of this review. One of the most important of these is that tribology being a highly multidisciplinary field, the research results are widely spread across various disciplines and there can be omissions because of this. Secondly, the topics dealt with in the field of tribology include only some of the salient topics (such as lubrication, wear, surface engineering, biotribology, high temperature tribology, and computational tribology) but there are many more aspects of tribology that have not been covered in this review. Despite these limitations it is hoped that such a review will bring the most recent salient research in focus and will be beneficial for the growing community of tribology researchers.

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Section: Other Developments and Applicationsmentioning

confidence: 99%

A review of recent advances in tribology

et al. 2020

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“…Accordingly, feed rate and cutting speed were found as dominant parameters on tool life and surface roughness, respectively. Liu and Zong [23] reported that flank wear can be predicted with a low error rate during turning of SiC P reinforced 2024Al matrix composites. Lin et al [24] investigated hard TiB 2 ceramic particles reinforced 7050 Al metal matrix composites.…”

Section: Introductionmentioning

confidence: 99%

Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy

et al. 2021

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The features of composite materials such as production flexibility, lightness, and excellent strength put them in the class of materials that attract attention in various critical areas, i.e., aerospace, defense, automotive, and shipbuilding. However, the machining of composite materials displays challenges due to the difficulty in obtaining structural integrity. In this study, Cu/Mo-SiCP composite materials were produced by powder metallurgy with varied reinforcement ratios and then their machinability was investigated. In machinability experiments, the process parameters were selected as cutting speed (vC), feed rate (f), depth of cut (aP), and reinforcement ratio (RR). Two levels of these parameters were taken as per the Taguchi’s L8 orthogonal array, and response surface methodology (RSM) is employed for parametric optimization. As a result, the outcomes demonstrated that RR = 5%, f = 0.25 mm/rev, aP = 0.25 mm, vC = 200 m/min for surface roughness, RR = 0%, f = 0.25 mm/rev and aP = 0.25 mm and vC = 200 m/min for flank wear and RR = 0%, f = 0.25 mm/rev, aP = 0.25 mm, vC = 150 m/min for cutting temperature for cutting temperature and flank wear should be selected for the desired results. In addition, ANOVA results indicate that reinforcement ratio is the dominant factor on all response parameters. Microscope images showed that the prominent failure modes on the cutting tool are flank wear, built up edge, and crater wear depending on reinforcement ratio.

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“…Wibowo also studied [8] the optimal combination of cutting parameters during the pocket mill process of plastic mold steels material, and Arruda [9] focused on studying the optimization of the finishing milling process using ball nose end mill. Other research belongs to Rathod [10], Liu [11], Binder [12], Lofti [13], Attanaio [14], and Yue [15], who addressed the issue of tool wear and chip formation using FEA. Also, Lofti and Farid, in their study [16], address chip breaker geometry on chip shape and the forces that appeared in the cutting process.…”

Section: Introductionmentioning

confidence: 99%

Study about the chip formation in the turning process using the finite element analysis

Pop

Țîțu

2022

IOP Conf. Ser.: Mater. Sci. Eng.

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At this time, there is a significant interest in the chip shape and formation at the international level, an issue studied based on mathematical calculations, experiments, and finite element analysis. The analysis of the chip formation process showed that the thickness of the undetached chip also varies according to the rake angle of the cutting tool, and using 3D models to analyze the chip formation process demonstrates this fact. Following the research, a study was conducted in which an analysis of the chip morphology is presented. Using Deform 2D application, a finite element simulation - a comparative analysis of the chip formation was performed when the value of the clearance angle varies. The increasing variety of cutting radius values has an influence on the way the chips are formed in terms of thickness, which generate differences in its shape. Following the study, a series of conclusions and own findings emerged that with the increase of the cutting-edge radius, the stress distribution is radial over a greater area of the part, reason for which the deformation of the chip is smaller. Arguments have also been made on distribution of the temperature, which is directly influenced by the shape of the tool, influencing the temperature of the generated chip. The results also show that with the increase of the cutting-edge radius of the tool, there is a tendency for the detached chip to settle.

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Prediction model of tool wear volume in precision turning of ceramic particle reinforced aluminum matrix composites

Cited by 24 publications

References 37 publications

A review of recent advances in tribology

A review of recent advances in tribology

Parametric Optimization for Improving the Machining Process of Cu/Mo-SiCP Composites Produced by Powder Metallurgy

Study about the chip formation in the turning process using the finite element analysis

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