SiC陶瓷材料在激光辅助高温车削中的塑性去除行为研究

IF 4.6 2区 物理与天体物理 Q1 OPTICS
Di Dai , Yukui Cai , Yugang Zhao , Jawad Aslam , Yu Tang , Xiaoliang Liang , Zhanqiang Liu
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引用次数: 0

摘要

在这项研究中,我们研究了材料去除的机制,并解决了在激光辅助高温车削碳化硅陶瓷过程中预测材料去除率的挑战。建立了一个有限元模型来模拟车削过程中热-机械耦合下微米尺度材料的去除,从而阐明了在有激光辅助和没有激光辅助时去除行为的差异。这一分析有助于改进材料去除率的传统模型,并支持为经历高温软化的硬脆材料开发预测数学框架。该模型还可以计算SiC处于塑性或近塑性状态时的实际材料去除率。通过将实际切除率作为响应变量,我们采用方差分析、残差分析、三维响应面和等高线图来评估工艺参数(特别是切割深度、进给速度、转速和激光功率)对切除率的交互影响。研究结果表明,在特定的高温条件下,碳化硅的固有硬度和脆性减弱,使材料的去除机制从脆性断裂转变为塑性或近塑性变形。值得注意的是,切削深度和进给量被确定为最关键的因素,它们的相互作用对去除率产生显著影响。塑性/近塑性条件下的去除率预测值与实际值的预测误差在2.06% ~ 6.92%之间,表明了模型的准确性和可靠性。在最佳情况下,通过采用更大的切割深度、更高的进给速度和激光功率,以及更低的转速,可以同时实现高材料去除率和卓越的表面质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Study on the plastic removal behavior of SiC ceramic materials in laser-assisted high-temperature turning
In this study, we investigate the mechanisms underlying material removal and address the challenges associated with predicting the material removal rate during laser-assisted high-temperature turning of silicon carbide ceramics. A finite element model is developed to simulate micron-scale material removal under thermo-mechanical coupling during turning, thereby elucidating the differences in removal behavior with and without laser assistance. This analysis informs the refinement of conventional models for material removal rates and supports the development of a predictive mathematical framework for hard and brittle materials experiencing high-temperature softening. The model further enables the computation of the actual material removal rate for SiC when it is in a plastic or near-plastic state. By treating the actual removal rate as the response variable, we employ analyses of variance, residual analysis, three-dimensional response surfaces, and contour maps to evaluate the interactive effects of process parameters-specifically cutting depth, feed rate, rotational speed, and laser power-on the removal rate. Our results indicate that, under specific high-temperature conditions, the inherent hardness and brittleness of SiC are mitigated, transitioning the material removal mechanism from brittle fracture to plastic or near-plastic deformation. Notably, cutting depth and feed rate are identified as the most critical factors, with their interaction exerting a pronounced influence on the removal rate. The prediction error between the estimated and actual values of the removal rate under plastic/near-plastic conditions ranges from 2.06% to 6.92%, thereby underscoring the models accuracy and reliability. Optimally, simultaneously achieving high material removal rates and superior surface quality can be realized by employing larger cutting depths, higher feed rates and laser power, along with lower rotational speeds.
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来源期刊
CiteScore
8.50
自引率
10.00%
发文量
1060
审稿时长
3.4 months
期刊介绍: Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication. The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas: •development in all types of lasers •developments in optoelectronic devices and photonics •developments in new photonics and optical concepts •developments in conventional optics, optical instruments and components •techniques of optical metrology, including interferometry and optical fibre sensors •LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow •applications of lasers to materials processing, optical NDT display (including holography) and optical communication •research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume) •developments in optical computing and optical information processing •developments in new optical materials •developments in new optical characterization methods and techniques •developments in quantum optics •developments in light assisted micro and nanofabrication methods and techniques •developments in nanophotonics and biophotonics •developments in imaging processing and systems
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