高分子添加剂对磨料水射流切割质量的影响

通过磨料水射流和在磨料水射流中加入不同浓度高分子添加剂切割大理石的对比实验,测量了在不同工况下切缝表面不同位置测点的粗糙度。试验结果表明:在相同工况下,高分子添加剂磨料水射流较磨料水射流能减小切缝表面粗糙度,提高切缝表面质量;不同浓度高分子添加剂磨料射流对切缝表面粗糙度影响不一,存在最优浓度为3×10~(-4);磨料水射流切割中,走刀速度过慢和过快时获得切缝表面最小表面粗糙度的靶距较正常走刀速度大;高分子添加剂磨料射流切割中,不同走刀速度下获得切缝最小表面粗糙度的靶距趋向一致。     

磨料水射流切割微晶复合材料的工艺参数对光滑区粗糙度的影响

本文通过单因素试验,研究了磨料水射流切割微晶复合材料时射流压力、靶距、切割速度和磨料流量对光滑区粗糙度的影响规律,进行了正交试验,得出了磨料水射流各工艺参数对光滑区粗糙度影响的重要程度主次顺序,并且得出了最优工艺参数组合。试验结果表明:在磨料水射流切割微晶复合材料时,射流压力增加,光滑区粗糙度先减小后增加;靶距增加,粗糙度增大;切割速度增加,粗糙度增大;磨料流量增加,粗糙度减小。优化后的加工工艺参数为:射流压力260 MPa、靶距4 mm、切割速度144mm/min、磨料流量590 g/min。     

前混合磨料水射流切割参数对表面粗糙度的影响

采用前混合磨料水射流对Q235碳素结构钢进行切割实验,测量样品切口表面粗糙度;研究前混合磨料水射流的切割压力、喷嘴出口直径、切割靶距、切割速度和切割深度对样品切口表面粗糙度的影响规律;结合实验数据,建立表面粗糙度二次非线性回归预测方程。研究结果表明：前混合磨料水射流的切割压力、喷嘴出口直径与表面粗糙度呈负相关关系;切割靶距、切割速度、切割深度与表面粗糙度呈正相关关系;各因素的影响权重大小依次为：喷嘴出口直径、切割深度、切割压力、切割速度、切割靶距;影响表面粗糙度的实质因素为磨料流量和磨料能量;建立的表面粗糙度二次非线性回归预测方程的平均偏差为7.99%。     

磨料水射流等现代切割技术的研究与分析

首次根据大量实验研究结果，对磨料水射流切割与激光，等离子切割进行了综合研究分析。阐明了磨料水射流对板材切割的适应性，合理性和经济性。文章对磨料水射流切割技术的发展及其推广应用，具有实用价值和指导意义。     

磨料水射流等现代切割技术的研究与分析

首次根据大量实验研究结果，对磨料水射流切割与激光、等离子切割进行了综合研究分析。阐明了磨料水射流对板材切割的适应性、合理性和经济性。文章对磨料水射流切割技术的发展及其推广应用，具有实用价值和指导意义。     

基于回归方法的超高压水射流切割质量研究

磨料水射流（AWJ）是高速水与磨料混合对材料进行加工的一种新型冷态高能切割技术。为了获得较高的加工效率和表面质量,必须精确控制水射流加工的各种工艺参数。在通用旋转组合试验设计基础上,采用回归分析方法建立了AWJ切割表面质量与切割速度、磨料流量、试件厚度的数学模型;通过模型对磨料水射流切口表面质量预测,预测结果与试验结果基本一致,说明模型能很好地满足加工需要。     

后混合磨料水射流切割工程陶瓷的特性分析

对后混合磨料水射流切割工程陶瓷的特性进行了理论和实验分析，探讨了磨料水射流切割工程陶瓷切割机理，分析了改变切割工艺参数对切割深度的影响特性。     

磨料粒径及形状对磨料水射流切割钛合金表面微观形貌的影响

采用不同粒径与形状的磨料颗粒,在磨料水射流切割平台上切割钛合金,用超景深显微镜等设备分析,以研究不同的磨料粒径及形状对钛合金表面微观形貌的影响。研究表明:磨料粒径越大,钛合金表面所形成的划痕越长,80目磨料颗粒形成的微划痕长度约为160目磨料的5倍。且球形磨料颗粒所形成的划痕末端堆积较少,其表面线粗糙度低于9.5 μm;具有棱边的磨料颗粒所形成的划痕有唇状或鳞片状金属堆积,其表面线粗糙度在9.5～13.0 μm间;柱体形的磨料颗粒冲击形成的划痕带有尖锐的棱角,其表面粗糙度大于13.0 μm。      

便携式磨料水射流系统切割X60钢的试验研究

磨料水射流切割技术能够满足油气储运设备设施应急抢修切割的需求。通过切割试验研究了便携式磨料水射流切割系统对管线钢的切割特性,得到压力、靶距和横移速度对切割深度的影响关系,提出了切割深度预测模型。结果表明:切割深度与切割压力成正比,与靶距和横移速度成反比。切割深度模型对切割结果预测的最大误差为15.04%,最小误差为0.87%,平均误差为5.98%,表明切割深度模型在一定参数范围内能够有效指导切割工艺的制定。     

高压水磨料射流切割的力学特性与模型

通过理论分析与实验测定，分析和建立了高压水磨料射流切割的力学特性与模型，得出水射流的流量系数为０．７５，磨料射流的平均流速系数为０．９５。认为水射流主要通过水介质的滞止动压进行切割，磨料射流主要通过磨粒的冲击动压进行切割。给出了射流切断面积速度与材料破坏能量的关系曲线。     

A study on surface roughness in abrasive waterjet machining process using artificial neural networks and regression analysis method

In the present study, artificial neural network (ANN) and regression model were developed to predict surface roughness in abrasive waterjet machining (AWJ) process. In the development of predictive models, machining parameters of traverse speed, waterjet pressure, standoff distance, abrasive grit size and abrasive flow rate were considered as model variables. For this purpose, Taguchi's design of experiments was carried out in order to collect surface roughness values. A feed forward neural network based on back propagation was made up of 13 input neurons, 22 hidden neurons and one output neuron. The 13 sets of data were randomly selected from orthogonal array for training and residuals were used to check the performance. Analysis of variance (ANOVA) and F-test were used to check the validity of regression model and to determine the significant parameter affecting the surface roughness. The statistical analysis showed that the waterjet pressure was an utmost parameter on surface roughness. The microstructures of machined surfaces were also studied by scanning electron microscopy (SEM). The SEM investigations revealed that AWJ machining produced three distinct zones along the cut surface of AA 7075 aluminium alloy and surface striations and waviness were increased significantly with jet pressure.     

Processes and apparatus developments in industrial waterjet applications

This paper is based on an abrasive waterjet cutting process that helps solve problems in processing of modern hard-to-cut materials, enabling wider industrial application. A detailed explanation of the recent developments in the main components of abrasive waterjet systems are given. Factors such as water pressure, grain diameters of abrasive feed rate, and traverse speed influencing surface roughness and depth of cut are studied using experimental data. Taking account of industrial applications, advantages–disadvantages, and limitations of the process are assessed.     

Progress in fluidized bed assisted abrasive jet machining (FB-AJM): Internal polishing of aluminium tubes

This paper deals with the internal finishing of tubular components made from a high strength aluminium alloy (AA 6082 T6) using a fluidized bed assisted abrasive jet machining (FB-AJM) system.Firstly, a Taguchi's experimental plan was used to investigate the influence of abrasive jet speed, machining cycle, and abrasive mesh size on surface roughness and material removal trends. Secondly, the leading finishing mechanisms were studied using combined 3d profilometer-SEM analysis to monitor the evolution of the surface morphology of machined workpieces. Finally, the circumferential uniformity and precision machining of the inner surface of workpieces were tested by evaluating the values of the more significant roughness parameters in different circumferential locations.Consistent trends of surface roughness vs. operational parameters were measured, and significant material removal was found to affect the workpieces during machining. As a result, FB-AJM was found to preferentially machine the asperities and irregularities of the surface, thereby altering the overall surface morphology producing more regular and smoother finishing. Moreover, the good circumferential uniformity and machining accuracy FB-AJM guarantees even on ductile aluminium alloy workpieces ensure that this technology can be applied to a diverse set of industrial components.     

Characteristics of abrasive slurry jet micro-machining: A comparison with abrasive air jet micro-machining

Abrasive slurry jet micro-machining (ASJM) uses a well-defined jet of abrasive slurry to erode features in a solid target. Compared with abrasive water jet machining (AWJM), the present ASJM system operates at pressures that are roughly two orders of magnitude lower and uses a premixed slurry of relatively low concentration. The objective of the present study was to gain a better understanding of the mechanics of erosion in ASJM by comparing its performance in the micro-machining of holes and channels in borosilicate glass with that of abrasive air jet micro-machining (AJM), a process that is simpler and relatively well understood. A new ASJM system was developed and used to machine blind holes and smooth channels of relatively uniform depth that did not suffer from the significant waviness previously reported in the literature. The effect of particle velocity, particle concentration, jet traverse speed and jet impact angle were examined. A direct comparison of ASJM and AJM results was possible since novel measurements of the crushing strength of the aluminum oxide abrasive particles used in both experiments proved to be unaffected by water. Brittle erosion was shown to be the dominant material removal mechanism in both ASJM and AJM in spite of the significant flow-induced decrease in the local impact angles of many of the particles in ASJM. A new model of the rapid particle deceleration near the target surface helped explain the much smaller erosion rates of ASJM compared with those in AJM. The modeling of the erosion process during the micro-machining of channels showed that the effect of the local impact angle at the leading edge of the advancing jet was much more significant in ASJM than in AJM, primarily due to the narrower focus of the jet impact zone in ASJM. The differences in the water and air flow fields and associated particle trajectories were used to explain the steeper side walls and flatter bottoms of the holes and channels machined with unmasked ASJM compared to those with masked AJM. The respective structures of the water and air jets also explained the much sharper definition of the edges of these features using ASJM compared with maskless AJM. The results of the study show that ASJM can be used to accurately micro-machine channels and holes with a width of 350–500 μm and an aspect ratio of 0.5–1.3 without the use of masks.     

Experimental analysis of irregularities of metallic surfaces generated by abrasive waterjet

Experimental study of the surface quality produced by abrasive waterjet (AWJ) on metallic materials has been performed. The surface roughness/waviness was quantitatively evaluated by using the contactless optical measurement. In order to characterize the cut surface qualities, a single-parameter criterion has been proposed. Based on root mean square (RMS) roughness evaluation of the worst cut surface zone, the dimensionless statistical parameter C can be calculated as a basic quantity for AWJ surface cut characterization. As it was approved, besides its dependency on depth of AWJ trace, the value of C-parameter for the specific material is noticeably related also to the traverse speed of the cutting head. Such a relationship can be potentially used for adjusting the cutting speed of the machining process.     

磨料水射流抛光技术及其发展

磨料水射流抛光技术是应用于表面抛光加工的新技术.利用含有细小磨料粒子的抛光液在高压作用下,与工件表面发生冲击、冲蚀而微去除材料,以达到抛光目的.论述了磨料水射流抛光技术的基本原理和特点,以及影响抛光效果的主要工艺参数,并对其发展趋势进行了展望.     

高压水射流切割技术及其应用

高压水射流切割是一种非传统的冷切割方法,具有传统切割方式难以比拟的优点。本文回顾了其原理和发展历史,介绍了其在工业、航天和医学等方面的应用。对水压、流速、射流直径、直径扩散率以及磨料等切割参数对高压水射流切割的加工质量的影响进行了讨论,并对国外新的研究方法和结果进行了介绍,为优化工艺、改善加工质量提供了借鉴。     

基于LS-DYNA仿真的射流加工参数分析

目的通过LS-DYNA对磨料射流冲蚀切削进行仿真,研究相关工艺参数对切削参数的影响。方法采用磨料水射流对Al_2O_3陶瓷进行了单点冲蚀仿真和切削仿真研究,其中水和磨料粒子采用SPH方法建模,氧化铝陶瓷工件采用FEM方法建模,并通过SPH-FEM耦合算法,实现射流冲蚀切削过程的仿真。结果分析射流冲蚀过程仿真和切削过程仿真可知,射流加工前期,由于射流中磨粒碰撞与反弹,使壁面成不规则"V"型。初始阶段,切深随计算时间呈线性增加,同时壁面对磨粒产生制约作用,从而使加工处的孔深基本不再增加。由于磨粒在冲蚀处壁面底部的冲蚀作用,使凹坑底部宽度增加并迅速趋于稳定。同时切削仿真与冲蚀仿真也存在一定区别,主要由于切削过程设定了移动速度。结论将仿真结果与实验结果进行比较可知,切削深度随着泵压的增大而成线性增大,切深随磨料流量的增大而增大,随靶距和横移速度的增大而减小。其中切深与磨料流量、靶距、横移速度均为非线性关系,工件最大切深与计算时间不呈线性关系增长。