基于淹没环境的超高压后混合磨料水射流切割试验研究

利用超高压水射流切割试验系统,在80～280MPa压力范围内进行淹没磨料水射流切割试验研究,通过试验及数据分析,验证了后混合淹没磨料射流切割的可行性,得出了磨料粒径和质量流量、射流压力、靶距、切割横移速度等参数对射流切割性能的影响规律,对于脆性和塑性材料,试验中各参数对切割深度的影响基本一致.结果表明:在试验给出的工况条件下,磨料流量存在最佳值,在一定范围内切割深度随磨料流量增加而增加,当磨料流量达到一定值后,切割深度随流量增加反而下降;切割深度与射流压力基本呈线性增长关系;随着靶距的增大,切割深度逐渐减小;切割深度随切割速度的增加呈指数衰减趋势,并且相同试验工况下淹没射流切割深度要大于非淹没状态.试验结果为超高压淹没磨料水射流的实际应用和研究提供了参考.     

磨料水射流切割混凝土的深度预测模型

在对磨料水射流切割混凝土分析基础上,应用BP人工神经网络理论,建立磨料水射流切割基于射流压力、靶距、磨料粒径、磨料流量、磨料喷嘴直径、磨料喷嘴长度及横移速度等射流参数的深度模型,通过模型预测结果与实验结果的比较,验证模型具有一定的精度,为实际运用和进一步研究提供参考。     

磨料水射流切割石材加工表面质量的试验研究

文中对高压磨料水射流切割石材的加工表面质量进行了试验研究,分析了水射流压力、靶距、切割速度和磨料流量对加工表面质量的影响。结果表明:当水射流压力增大时,光滑区切割深度增大,而表面粗糙度先减小后增大;当靶距增加时,表面粗糙度增大,而切割光滑区切割深度减小;当切割速度增加时,表面粗糙度增大,而光滑区切割深度迅速减小;当磨料流量增加时,表面粗糙度减小,而切割表面的光滑区深度先增大后减小。     

基于磨料水射流的氧化锆陶瓷切割研究

为了保证工程陶瓷类硬脆材料在达到一定切割质量的同时最大程度地提升切割效率,以射流压力、靶距、横移速度和切割次数为变量,基于田口试验设计方法,设计了磨料水射流切割氧化锆陶瓷的正交试验。利用白光干涉仪测量切口表面形貌,利用Minitab软件统计试验数据并进行分析,探究射流压力、靶距、横移速度和切割次数四项工艺参数对切口锥度和切口深度的影响规律,并在此基础上针对切割质量与切割效率探究最优的工艺组合。工艺参数对切口锥度、切口深度影响程度的主次顺序为横移速度>射流压力>切割次数>靶距,工艺参数对质量—效率综合影响程度的主次顺序为射流压力>横移速度>切割次数>靶距。综合分析切割质量与切割效率,得到最优工艺参数组合：射流压力300MPa,靶距2～10mm,横移速度100mm/min,切割次数1次。磨料水射流对工程陶瓷具有良好的切割效果,研究结果为陶瓷类硬脆材料切割质量与切割效率的提升提供工艺参数选择依据,具有一定的理论意义和工程实际应用价值。     

高压水射流切割粘釜物的实验分析

为研究不同高压射流参数作用下粘釜物的切割清除效果,开展了粘釜物的高压水射流切割清除实验研究。实验以切割深度及切割宽度为衡量目标,研究了入射角、靶距、横移速度和出口压力4个射流参数对切割清除效果的影响,通过正交实验实现了射流参数的优化。结果表明:切割深度和宽度均随出口压力增加而增大,随横移速度增加而减小;而靶距接近初始段长度,入射角度为30°时切割深度及宽度达到最大值;正交实验表明,射流参数对切割深度的影响效果顺序依次为横移速度、入射角、出口压力、靶距;当前工况的最佳射流参数组合为:横移速度7.5 mm/s,入射角30°,出口压力值120 MPa,靶距15 mm。研究结果为工业现场清釜作业提供了实验依据及技术支持。     

磨料水射流切割铝合金质量模型研究

通过理论研究,分析了磨料水射流去除材料机理及其影响因素。采用正交设计法,进行铝合金切割试验。以切割断面的表面粗糙度值为研究对象,对测得的试验数据进行极差分析。分析结果显示,射流压力、切割速度和磨料流量对切口表面粗糙度的影响较大;靶距和磨料粒子的尺寸对切口表面粗糙度的影响次之。用回归分析方法,建立了磨料水射流切割铝合金材料的表面粗糙度模型。通过试验验证,模型的误差在1.98%~5.14%之间。     

应用模糊理论预测磨料水射流切深模型的建立

以理论为基础,应用磨料水射流切割加工时的工艺参数:水射流压力、射流横移速度和磨料流量等实验数据,建立一个模糊控制模型。这个模糊控制模型可以预测在任何给定一组加工参数时,可获得的切割深度。给出磨料水射流切割铝合金实例。     

磨料水射流切割玻璃钢复合材料试验研究

磨料水射流对材料具有极强的冲蚀作用,并在冲蚀过程中不改变材料的力学、物理和化学性能,适于切割热敏、压敏、脆性和复合材料。文中选择压强、靶距、横移速度和砂流量四因素,试验研究了各因素对玻璃钢切割断面深度比值q的影响。在磨料流量为0．060kg／min、切割速度为650mm／min、靶距为5mm条件下,切割玻璃钢样件,没有出现分层和起鳞现象,切割表面光滑,充分证实了磨料水射流切割复合材料的优势。     

磨料水射流铣削陶瓷材料的表面形状研究

对磨料水射流铣削氧化铝陶瓷的铣削表面形状进行了试验研究,并分析了铣削工艺参数对铣削表面形状的影响。结果表明对应于不同的工艺参数,铣削表面的结构形状随加工参数的改变而变化。随着水压力的增大,铣削所得的凹槽深度增加,而喷嘴横移速度增加时,凹槽深度减小,水压力和喷嘴横移速度对凹槽宽度的影响不大。随着靶距和横向进给量的增加,凹槽深度都减小,宽度增加。     

淹没磨料射流对金属材料切割性能影响的实验研究

在完全淹没条件下,以Q235号钢板为例,对射流压力、横移速度、靶距、磨料目数、喷嘴型号等主要切割参数进行了考察,分析了这些参数对金属。料切割深度的影响,为水下切割技术提供一些有价值的参考。     

An investigation of the hole machining processes on woven carbon-fiber reinforced polymers (CFRPs) using abrasive waterjets

An investigation of the hole cutting and drilling processes on woven carbon-fiber reinforced polymer sheets using abrasive waterjet (AWJ) is presented. The drilling process uses a stationary AWJ to impinge a target material to make a hole, while the cutting process requires an AWJ to penetrate the workpiece before moving in a circular path to cut a hole. It is found that the holes machined by both the processes exhibit similar geometrical features, where the diameter at the top is greater than at the bottom. It is further found that the holes from the drilling process have a better roundness than those from cutting process primarily due to the jet instability during cutting movement. Plausible trends of the hole characteristics (e.g., diameter and wall inclination) and defects (e.g., delamination) with respect to the process parameters are discussed. It is shown that water pressure is the major parameter affecting hole defects. The hole drilling process yields more severe defects than the cutting process because of the initial impact of the jet. Predictive models for machined hole diameter in both processes are developed. The model predictions are in good agreement with the experimental data under the corresponding conditions.     

基于人工神经网络的磨料水射流切割加工模型

作为一种冷态加工新工艺 ,磨料水射流 (AWJ)以其独特的优点得到广泛应用 ,但由于高速液固两相流本身的特性 ,AWJ切割加工是一个受多参数影响的复杂随机过程 ,很难建立一个适当的机理模型。基于人工神经网络理论 ,本文建立了切割厚度与主要工艺参数间的AWJ切割加工预测模型 ,模型预测结果与实验值及Zeng的经验模型进行了比较 ,该网络模型能可靠、准确地映射出AWJ的加工规律 ,可应用于AWJ切割加工过程的参数优化选择、加工规律计算机仿真及智能化控制中。     

Radial-mode abrasive waterjet turning of short carbon–fiber-reinforced plastics

An experimental study is carried out for single-pass radial-mode abrasive waterjet (AWJ) turning of a short carbon–fiber-reinforced polyetheretherketone (PEEK) specimen to understand the machining process and the effects of major process variables (feed speed, water pressure, abrasive mass flow rate, nozzle tilt angle, and rotational surface speed) on the major machining performance measures, that is, the depth of cut, material removal rate (MRR) and surface roughness. It is found that high water pressure, normal nozzle impact angle and high rotational speed with suitably selected feed speed and abrasive flow rate may be selected to achieve a high MRR without significantly compromising the surface roughness. Mathematical models for the three cutting performance measures are then developed for use in process control.     

An adaptive control strategy for the abrasive waterjet cutting process with the integration of vision-based monitoring and a neuro-genetic control strategy

This paper presents an integrated approach for the monitoring and control of abrasive waterjet (AWJ) cutting process. A machine-vision-based monitoring approach was proposed to obtain the bore diameter of the focusing nozzle from time to time. A neuro-genetic approach, proposed by Srinivasu and Ramesh Babu (Appl Soft Comput 8(1):809–819, 2008) was employed as a control strategy to modify the process parameters, such as water pressure, abrasive flow rate, and jet traverse rate, so as to maintain the desired depth of cut, with changes in the diameter of the focusing nozzle monitored with a machine vision system. By combining the monitoring and control strategies, an integrated approach for adaptive control of AWJ cutting process is realized. The effectiveness of the proposed integrated approach for adaptive control of AWJ cutting process was shown by comparing the results obtained from the experiments with the process parameters suggested by the control strategy to achieve the desired depth of cut. From the results of the study, it is seen that the proposed monitoring system is capable of monitoring the focusing nozzle diameter with a mean absolute deviation of 0.05 mm and that the neuro-genetic strategy is capable of modifying the controllable process parameters to maintain the desired depth of cut with a mean absolute deviation of 0.87 mm.     

高压水磨料射流切割机制的实验研究

根据工业性切割的需要，对磨料水射流（ＡＷＪ）切割机制进行实验研究。通过射流与材料之间的相互作用过程，建立和验证了ＡＷＪ切割过程模型，ＡＷＪ切割过程主要是通过磨粒对材料的周期性切割磨削和变形磨削完成；验证分析了典型材料的切割特征（切割深度、切口宽度、冲蚀量）与切割变量（水压、靶距、切速等）的关系，以及磨料、材质两大因素的影响。实验研究结果对ＡＷＪ切割技术的开发与应用具有指导意义和实用价值。     

磨料水射流切割质量的参数化模型

作为一种新型的冷态高能束切割技术,磨料水射流(AWJ)以其独特的优点得以广泛应用,但其本身的技术特性使得切割质量存在不足。本文从能量角度分析了AWJ切割质量的影响因素,结合实验数据采用回归分析方法建立了AWJ切割质量与工作压力、切割速度、磨料流量的半经验模型,能够可以满足工程需要。为AWJ切割工艺参数优化选择及切割质量的评价、分析提供了理论基础。     

An Experimental Study to Enhance the Cutting Performance in Abrasive Waterjet Machining

An experimental study to enhance the cutting performance in abrasive waterjet (AWJ) machining is presented. The study uses the techniques of jet forward impact angles and multipass operations both individually and concurrently when cutting an alumina ceramic and a polymer matrix composite. A brief report on the effect of jet impact angle in single pass cutting is made first, which shows that the optimum jet impact angle for both the ceramics and polymer matrix composite is about 80°. It is found that the multipass cutting technique can increase the cutting capability and application domain of AWJ cutting. It can also improve the major cutting performance such as the depth of cut as compared to single pass cutting within the same total cutting time. The benefit of using multipass cutting operations is further enhanced when it is combined with a jet forward angle of 80° in cutting alumina ceramics.     

ENHANCING THE DEPTH OF CUT IN ABRASIVE WATERJET CUTTING OF ALUMINA CERAMICS BY USING MULTIPASS CUTTING WITH NOZZLE OSCILLATION

An experimental investigation is presented to increase the depth of cut in abrasive waterjet (AWJ) cutting of alumina ceramics by introducing a new cutting technique combining multipass operations with controlled nozzle oscillation. Plausible trends of the depth of cut per pass and total depth of cut with respect to the number of passes and the parameters in each pass are discussed. It shows that cutting with nozzle oscillation can significantly increase the depth of cut in the single-pass cutting mode, while further gains in the depth of cut can be made by using multipass cutting with nozzle oscillation. While multipass cutting can be used to increase the total depth of cut for machining thicker materials, it has been found that an average increase of 50.8% in the total depth of cut can be expected by using multipass cutting with nozzle oscillation as compared to single-pass cutting without nozzle oscillation within the same cutting time. Recommendations are finally made as a practical guide for the selection of process parameters in multipass AWJ cutting of alumina ceramics with controlled nozzle oscillation.