Application for Prediction of Waviness in Water Jet Cutting of Granite

D. Parasar, Yogesh Jadhav
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Abstract

Granite has broad applications as construction material, architectural stone, a decorative stone, bridges and counter-tops. Black pearl granite is excavated in large blocks providing slabs of suitable sizes. Machining of rocks with conventional method has low surface finish and incorporates cost in final finishing. Abrasive water jet cutting is used for precise cutting of granite. Burst occurs at the other side of the material which is undesirable. The burst has to be minimum for high production and minimum wastage of cost. The experiments were carried on Black pearl granite. By using Taguchi method a L27 Orthogonal Array was formed for deciding number of cuts. Input parameters such as traverse speed, abrasive flow rate and standoff distance were varied whereas water pressure and abrasive size were constant and burst area was the response which is to be calculated. After experimentation, with the help of ImageJ software area of burst is calculated for each cuts. Thereafter with the help of data acquired, coding was done in ANFIS in order to predict the burst area. The motive behind this is to increase the precision of machining and to reduce the cost behind the finishing of granite.
水射流切割花岗岩时波纹度预测的应用
花岗岩作为建筑材料、建筑石材、装饰石材、桥梁和台面有着广泛的应用。黑珍珠花岗岩被挖掘成大块,提供合适尺寸的石板。传统的岩石加工方法存在表面光洁度低、最终精加工成本高的问题。磨料水射流切割用于花岗岩的精密切割。爆炸发生在材料的另一边,这是不希望发生的。为了实现高产量和最低的成本浪费,爆破必须最小。实验在黑珍珠花岗岩上进行。采用田口法形成L27正交阵,确定切刀数。在恒定的水压和磨料粒径条件下,改变横移速度、磨料流量和隔距等输入参数,计算破碎面积。实验后,借助ImageJ软件计算出每一切口的爆发面积。然后利用采集到的数据,在ANFIS中进行编码,预测突发区域。这背后的动机是为了提高加工精度,降低花岗岩精加工背后的成本。
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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