Analytical modelling and experimental study of machining of smart materials using submerged abrasive waterjet micromachining process

Anurag Mahajan, Sagil James
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引用次数: 1

Abstract

Smart materials are new generation materials which possess great properties to mend themselves with a change in environment. Manufacturing of these materials is a huge challenge, particularly at micron scale due to their superior mechanical properties such as high hardness, high compressive strength and chemical inertness. This research investigates submerged abrasive waterjet micromachining (SAWJMM) process for machining smart ceramic materials. The research also involves experimental study on micromachining of smart materials using an in-house fabricated SAWJMM setup. The study found that SAWJMM process is capable of successfully machining smart materials including shape memory alloys and piezoelectric materials at the micron scale. An analytical predictive model is developed to estimate the MRR during SAWJMM process and the model is found to be capable of accurately predicting the machining results within 10% error. [Submitted 14 January 2018; Accepted 26 May 2018]
浸没磨料水射流微加工智能材料的分析建模与实验研究
智能材料是具有随环境变化而自我修复的新一代材料。制造这些材料是一个巨大的挑战,特别是在微米尺度上,由于它们具有优异的机械性能,如高硬度、高抗压强度和化学惰性。研究了水下磨料水射流微加工(SAWJMM)工艺在智能陶瓷材料加工中的应用。该研究还涉及使用内部制造的SAWJMM装置对智能材料进行微加工的实验研究。研究发现,SAWJMM工艺能够在微米尺度上成功加工形状记忆合金和压电材料等智能材料。建立了一种分析预测模型,用于估计锯磨机加工过程的MRR,该模型能够准确预测加工结果,误差在10%以内。[2018年1月14日提交;接受2018年5月26日]
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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