基于遗传算法的铣削参数优化

依据高速铣削表面粗糙度预测模型,建立了以提高加工效率为目标的优化模型,运用遗传算法对铣削参数进行了优化计算,得到了不同表面粗糙度要求下较优的铣削参数组合方案。应用优化的参数进行加工,表面加工质量得到了保证,同时效率也有所提高。     

TiAlN涂层铣刀铣削9SiCr钢切削性能试验研究

采用TiAlN涂层刀具,对合金工具钢9SiCr的高速铣削加工性能进行试验研究,分析铣削速度对铣削力、表面粗糙 度、表面形貌、切屑变形和刀具的磨损的影响。并获得能够保证对其进行高效高精度加工的合理工艺参数。     

SiC颗粒增强铝基复合材料高速铣削工艺研究

从颗粒增强金属基复合材料的应用和切削加工现状出发 ,针对SiC颗粒增强铝基复合材料的高速切削加工性能进行了试验分析。通过铣削试验 ,研究了铣削速度对铣削力、加工表面粗糙度、表面形貌以及刀具磨损的影响 ,分析了该材料的高速切削机理 ,并获得了能够保证对其进行高效高精度加工的合理工艺参数。     

SiC颗粒增强铝基复合材料高速铣削实验研究

对SiC颗粒增强铝基复合材料的高速切削加工性能进行了试验分析，研究了铣削速度对铣削力、切削温度、加工表面粗糙度、表面形貌和刀具磨损的影响，从而获得了能够保证对其进行高效率、高精度加工的合理工艺参数。     

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。     

铣削加工对表面粗糙度的影响研究

采用单因素试验和正交试验对铣削加工参数的设定进行表面粗糙度研究,分析了单一铣削参数对表面粗糙度的影响规律,结果表明:在一定铣削参数范围内,铣削深度越小表面粗糙度值越大,表面粗糙度随着铣削深度的增加而降低。通过正交实验的极差分析得出影响表面粗糙度的主次影响顺序:铣削深度影响最为显著、主轴转速次之、每齿进给量较次之和径向切宽影响最小。通过minitab统计学软件,分析了两参数因素之间的交互作用对表面粗糙度的影响,其中主轴转速和铣削深度的相互作用对表面粗糙度的影响较大。在低速铣削范围内,得出高转速、大的切深和小的每齿进给量对提高表面粗糙度非常有利。     

多轴铣削加工表面形貌建模与仿真研究分析

在考虑刀具偏心的情况下,建立多轴铣削加工形貌仿真模型,推导出多轴铣削情况下球头铣刀切削刃上任意一点相对被加工工件的轨迹方程,建立仿真算法求解被加工工件表面残留高度,并对平面铣削加工以及圆弧面铣削加工分别进行铣削仿真研究,研究刀具轴线角、进给倾角分别对表面粗糙度的影响。通过提高铣削过程中被加工工件表面质量,为开发实用的铣削加工过程物理仿真系统奠定了坚实的基础,对发展数控加工技术和指导实际生产具有一定的意义。     

精密铣削表面温度的实验研究

以金刚石铣刀精密铣削铝合金为研究对象,在VICTOR Vcenter-65加工中心上进行精密铣削时已加工表面温度测量的实验。通过对实验数据处理分析,得到已铣削加工表面的温度经验模型。分析结果表明,在精密铣削中,已加工表面的温度与铣削深度、铣削速度以及进给速度有关,影响最大的是铣削深度,其次是铣削速度,影响最小的是进给速度。     

瞬时铣削力数学模型及验证

在实际铣削加工中,由于铣削的断续性以及铣刀的多齿性,使得铣削力呈动态变化,动态变化的铣削力是造成工艺系统振动和工件变形的主要因素,因此建立准确的动态铣削力预测模型,是研究铣削加工工艺参数优化、铣刀结构参数优化和加工表面形貌预测的基础,并且对指导实际加工生产具有重要的意义。以微元铣削力为基础,通过计算某一时刻参与铣削的切削刃长度构造瞬时铣削力数学模型,并且结合试验验证了此模型的有效性,此模型为优化铣削加工提供了理论依据。     

超低温微铣削芳纶纤维复合材料表面质量

在常温与液氮超低温环境下对芳纶纤维增强复合材料进行微铣削对比加工试验，获取不同参数环境下的加工表面质量和铣削力数据。结果表明：超低温铣削加工环境能够对加工材料进行改性，降低强度、韧性等属性，使其易于切削，减少抽丝拉毛缺陷的产生，纤维断屑彻底，有助于获得更加优异的表面形貌。超低温环境充分抑制了烧蚀缺陷的产生，提高了加工表面质量，铣削表面粗糙度可达到2 μm以下。与常温环境相比，超低温加工环境具有以下优势：在较高的进给速度下仍能保持良好的铣削表面质量，可以在保证加工质量的同时，一定程度上提高加工效率；铣削力减小明显，刀具表面磨损较小；改善了芳纶纤维复合材料的铣削加工性能，提高了铣削加工表面质量。     

Application of Taguchi and response surface methodologies for surface roughness in machining glass fiber reinforced plastics by PCD tooling

This paper discusses the use of Taguchi and response surface methodologies for minimizing the surface roughness in machining glass fiber reinforced (GFRP) plastics with a polycrystalline diamond (PCD) tool. The experiments have been conducted using Taguchi’s experimental design technique. The cutting parameters used are cutting speed, feed and depth of cut. The effect of cutting parameters on surface roughness is evaluated and the optimum cutting condition for minimizing the surface roughness is determined. A second-order model has been established between the cutting parameters and surface roughness using response surface methodology. The experimental results reveal that the most significant machining parameter for surface roughness is feed followed by cutting speed. The predicted values and measured values are fairly close, which indicates that the developed model can be effectively used to predict the surface roughness in the machining of GFRP composites. The predicted values are confirmed by using validation experiments.     

基于车铣复合加工的已加工表面粗糙度分析

车铣复合加工是近些年来发展起来的先进的切削加工技术之一。本文采用正交实验方法,进行了正交车铣加工铝合金工件材料的切削实验,确定了车铣切削用量（铣刀转速、轴向进给量、每齿进给量等）与已加工表面粗糙度之间的关系。最后,通过正交实验法的方差分析进一步确定了各因素对表面粗糙度的影响及主次顺序。实验表明,铣刀转速（切削速度）和工件转速对表面粗糙度的影响较大。     

正交车铣TC4钛合金表面粗糙度分析

车铣加工技术是近年发展起来的先进切削加工技术之一。本文采用多因素正交试验法,进行了一系列的正交车铣TC4钛合金切削试验,研究了车铣切削用量与表面粗糙度之间的变化规律。通过方差分析确定了各因素对表面粗糙度的影响大小的主次顺序,每齿进给量和偏心量对表面粗糙度的影响较大。采用回归分析原理,建立了表面粗糙度的预测模型,根据统计检验结果表明,已加工表面粗糙度预测模型呈高度显著检验状态,具有很高的可信度。     

高速加工切削参数优化及实验分析

设计并实施了以主轴速度、进给速度和切削深度为切削参数,表面粗糙度为测量指标的高速切削实验,并利用直观分析法、方差分析法研究了各切削参数对表面粗糙度的影响趋势,判断了各因素及各因素之间交互作用对指标的影响显著性,获得了最优切削参数组合。     

激光切割参数对板材品质影响的研究

基于激光切割理论,依靠大量实验完成了对激光切割工艺参数的优化,对影响激光切割表面品质的主要因素,如工作气体、激光功率、辅助气体、焦点位置及切割速度进行分析对比,以切口的宽度和表面粗糙度作为衡量的指标,总结出实验材料的最优工艺参数。     

A cutting force model considering influence of radius of curvature for sculptured surface machining

A new cutting force model considering influence of radius of curvature is introduced in this research for sculptured surface machining with ball-end mill. In this model, first the whole cutting region near the cutter contact (CC) point on the sculptured surface is approximated by a spherical surface, and the radius of this spherical surface is used as the radius of curvature at the CC point. Then equations to estimate the cutting forces at a differential element on the cutting edge are established. By obtaining the cutter-workpiece contact areas based on geometries of the cutter and the sculptured surface, the mathematical model for estimating the total cutting forces in different directions is then developed. Experiments have also been conducted to measure the cutting forces considering different radii of curvatures on the sculptured surfaces. The analytically estimated cutting forces match well with the actual cutting forces obtained through experiments.     

Chatter and dynamic cutting force prediction in high-speed ball end milling

Machine tool chatter is a serious problem which deteriorates surface quality of machined parts and increases tool wear, noise, and even causes tool failure. In the present paper, machine tool chatter has been studied and a stability lobe diagram (SLD) has been developed for a two degrees of freedom system to identify stable and unstable zones using zeroth order approximation method. A dynamic cutting force model has been modeled in tangential and radial directions using regenerative uncut chip thickness. Uncut chip thickness has been modeled using trochoidal path traced by the cutting edge of the tool. Dynamic cutting force coefficients have been determined based on the average force method. Several experiments have been performed at different feed rates and axial depths of cut to determine the dynamic cutting force coefficients and have been used for predicting SLD. Several other experiments have been performed to validate the feasibility and effectiveness of the developed SLD. It is found that the proposed method is quite efficient in predicting the SLD. The cutting forces in stable and unstable cutting zone are in well agreement with the experimental cutting forces.