scholarly journals Technological Parameter Optimization of Disc-Milling Grooving of Titanium Alloy Based on Grey Correlation Degree

Author(s):  
Zhishan Li ◽  
Yaoyao Shi ◽  
Hongmin Xin ◽  
Tao Zhao ◽  
Cheng Yang

In present paper, aim to some problems such as big material removal rate, serious tool wear and obvious plastic deformation during disc-milling grooving, the orthogonal experiment with three factors and three levels was designed. First, the multi-objective optimization was converted to single-objective optimization based on grey correlation analysis, the influence weight of material removal rate, tool life and the depth of residual stress layer on grey correlation degree was determined via principal component analysis. Second, by means of regression analysis of experiment data, the prediction model of grey correlation degree and technological parameters was developed. Accordingly, the variation of material removal rate, tool life, the depth of residual stress layer and grey correlation degree resulted from the various technological parameter were studied. Further, the optimization scheme of technological parameter was put forward. Finally, the technological parameters were optimized with response surface methodology. And then, the disc-milling grooving experiment was carried out. The experiment results showed that material removal rate can be improved significantly under the condition of meeting the request of tool life and the depth of residual stress layer.

2019 ◽  
Vol 26 (09) ◽  
pp. 1950062 ◽  
Author(s):  
ZHEN CHEN ◽  
YAOYAO SHI ◽  
XIAOJUN LIN

As an efficient and fast developing surface finishing technique, polishing processes have been widely used in the machining of aero-engine blisk blade. Since a number of processing input variables will influence surface quality and production time, controlling surface finish and machining efficiency require a carefully designed combination of various processing parameters. Therefore, this paper presented a comprehensive multi-objective parameter optimization method that integrates grey relational analysis (GRA), radial basis function (RBF), as well as firefly algorithm (FA). The purpose is to simultaneously obtain the optimal parameter combination for minimum surface roughness and the greatest material removal rate by optimizing rotational speed, feed rate and polishing force in Ti-6Al-4V blisk blade polishing. The hybrid experiments were carried out by combining the orthogonal experimental design with the single-factor experimental design. GRA was run for converting multi-objective response into the single-objective response. Then, RBF was applied to build the relationship between the grey correlation degree and the control variables. Finally, FA was utilized to obtain the optimal grey correlation degree in the range of control variables. The verification tests showed the highest material removal rate of 5.370[Formula: see text]mm2/s and surface quality of 0.374[Formula: see text][Formula: see text]m have been successfully achieved.


Symmetry ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 173
Author(s):  
Zhishan Li ◽  
Yaoyao Shi

The blisk has been widely used in modern high performance aero-engines of high thrust-weight ratio. Disc milling process provides a reliable way to improve the efficiency of the blisk milling. The process parameters of disc milling have crucial effects on the milling efficiency and physical property of blisk. In this paper, material removal rate, cutter life and thickness of residual stress layer are regarded as optimization targets the key process parameters such as spindle speed, cutting depth and feed speed are optimized. Based on the grey relational analysis, the multi-objective optimization problem is transformed into a single objective optimization problem. At the same time, the problem of non-symmetry influence of key process parameters on optimization targets can be solved. And the influence weight of material removal rate, cutter life and thickness of residual stress layer on the grey relational grade (GRG) are calculated according to principal component analysis. The second order prediction model of GRA is developed by response surface method. On the basis of verifying the accuracy of the model, the influence mechanism of the process parameters coupling on the gray correlation degree is analyzed the optimal process parameter combination is obtained as spindle speed with 81.92 rpm, cutting depth with 5.88 mm and feed rate with 66.0823 mm/min. The experimental research show that the optimal process parameter combination can effectively improve the material removal rate and cutter life and reduce the thickness of residual stress layer.


2011 ◽  
Vol 681 ◽  
pp. 327-331 ◽  
Author(s):  
Sawsen Youssef ◽  
O. Calonne ◽  
Eric Feulvarch ◽  
P. Gilles ◽  
Hédi Hamdi

Grinding cup wheel is often used in the case of hand grinding which allows an important material removal rate but with secondary concern of surface integrity. Integrity is strongly affected by the process and consequently influences the surface behaviour in terms of resistivity to stress corrosion and crack initiation. This operation is difficult to master in terms of results on the surface and subsurface due to its manual nature. The paper presents results of an experimental study to investigate the residual stresses induced by this hand grinding process.


2013 ◽  
Vol 769 ◽  
pp. 77-84
Author(s):  
Karsten Flögel ◽  
Fabian Faltin

Titanium alloys offer outstanding properties with regard to its strength to density ratio and a good corrosive resistance in air atmospheres. Substantial advancements could be made by using titanium alloys, in particular for applications in the aerospace industry and medical engineering. However, no product innovation is possible without an appropriate machining technology. For example, low thermal conductivity and hot hardness lead to limitations regarding the applicable machining parameters, particularly for continuous cutting operations. Turning of high performance materials sets high demands on machine tools and especially on the used cutting tools. For conventional continuous cutting of titanium alloys the tool life time and therefore the tool life volume is limited due to the thermal mechanical behaviour. Depending on the chemical and structural composition of the alloy, conventional cutting operations can rarely be regarded as an economic solution. The Abrasive Waterjet Turning process (AWJT) represents a promising alternative manufacturing method to produce rotation-symmetrically or helical parts made of difficult to machine materials. The AWJT process combines the kinematics of conventional turning methods with process-specific advantages of the abrasive waterjet machining. The main advantages are the high variety of machinable materials, the long life time T of the focus nozzles of at least 300 minutes and its independence of the material to be processed. Furthermore, material-inhomogeneity or the initial geometrical contour of the workpiece cannot result in tool failures. An interaction of workpiece and tool known from conventional cutting processes cannot occur. An investigation on hyper eutectic aluminium alloys has shown that AWJT is an economic manufacturing process regarding the resulted material removal rates Qw and tool life volumes. The resulting roughnesses and roundnesses are comparable to a rough turning operation. In addition, AWJT results in a lower hardness penetration depth tw in comparison to conventional turning. Machining of titanium alloys with cylindrical and external turning operations as well as grooving is the next step in the experimental investigation of the machinability of difficult to machine materials with AWJT. Therefore, the objective of the presented work is to provide a model for predicting the material removal rate, the cylindrical roundness and the surface roughness of waterjet turning of the titanium alloy Ti6Al4V. In a screening experiment the significant setting parameters were identified and an adequate range of parameter settings for the response surface study was determined. The tested parameters were the feed rate vf, the abrasive flow rate m and particle size dp, the depth of cut dc and the rotational speed n of the workpiece. It is shown that in relation to the material removal rate Qw linear main effects as well as interaction effects are significant. The developed second-order-regression-model includes these linear main and interaction effects and the quadratic effects of the relevant setting parameters. Furthermore, the achieved material removal rates, tool life volumes, cylindrical roundness and surface quality are used as target values. Additionally the changes like plastic deformations and grain damages in the rim zone were compared to conventional machined parts. Relating to the material removal rate Qw, up to 2.5 cm³/min could be achieved for AWJT at a maximum height of profile Rz below 100 microns. Furthermore, the investigation resulted in a maximum tool life volume of 750 cm³ at a given nozzle life time. The results show that AWJT can be used as an economic alternative manufacturing process for rough turning of titanium alloys.


Author(s):  
S Sundriyal ◽  
Vipin ◽  
RS Walia

Gaseous assisted powder mixed near dry EDM (GAPMND-EDM) is one of the recent hybrid technologies, which not only enhance the machining performance, but at the same time, high quality products with better surface quality characteristics can also be achieved. In this study, the response parameters were material removal rate, surface finish, micro hardness and residual stress. It was found that the maximum material removal rate (MRR 3.379 mg/min) was achieved with combination of (dielectric) oxygen gas with graphite powder while lowest surface roughness (SR 1.11 μm) was found to be with dielectric argon gas with graphite additives. Highest micro hardness (MH) and lowest residual stress (RS) was 820.30 Vickers hardness number (VHN) and 229 MPa found with dielectric combination of zinc additives with argon gas.


Symmetry ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1526
Author(s):  
Jian Guo ◽  
Yaoyao Shi ◽  
Zhen Chen ◽  
Tao Yu ◽  
Pan Zhao ◽  
...  

Due to its flexibility and versatility, robotic belt polishing is one of the most effective processing methods to improve the surface quality of aeroengine blades. Since belt polishing of blades is a material removal process aimed at reducing surface roughness, it is difficult to achieve both minimum surface roughness and maximum material removal rates. In order to solve this problem, this paper proposes an optimization method combining grey correlation analysis (GRA), the Taguchi method, and the response surface method (RSM) for the multiobjective optimization of the process parameters of Ti–6Al–4V aeroengine blade polishing. Meanwhile, the problem of the influence of asymmetry on the polishing process parameters vis-a-vis the optimization goal was solved. Experiments of robotic belt polishing for aeroengine blades were carried out. Based on the results of the principal component analysis, the grey relational grade was established to turn multiobjective optimization into single-objective optimization. A quadratic regression model of Grey correlation grade was developed, and an optimal parameter combination was obtained by the RSM. Finally, verification experiments were performed, and the combination of optimal parameters was obtained as follows: feed rate of 232.09 mm/min, compression amount of 0.08 mm, and belt line speed of 16 m/s, which reduced surface roughness by 6.29% and increased the material removal rate by 16.11%. Comparing the results of GRA-RSM and GRA, the Grey correlation grade increased by 10.96%. In other words, the goal of simultaneously reducing the surface roughness and improving the material removal rate was achieved in robotic belt polishing for aeroengine blades.


2012 ◽  
Vol 159 ◽  
pp. 99-103
Author(s):  
Pei Pei Zhang ◽  
Zi Dong Yin ◽  
Xue Yan

Titanium alloy (TC18) is new style alloy (α+β). It possesses better performances than common titanium alloy. However, Titanium alloy (TC18) is still classified as difficult-to-machine materials for their poor machinability, which is attributed to relatively low modulus of elasticity, strong alloying tendency or chemical reactivity with cutting materials at higher temperatures and low conductivity of heat generated by the cutting action. Due to the poor machinability of the alloys, selecting of insert style is crucial for tool life and material removal rate. In this work, milling tests, using three kinds of inserts (KC522M, YD201 and SANDVIK 4240), were carried out on this kind of titanium alloy (TC18). The results of tests show that the material removal rate of insert KC522M is the highest, but its tool life is shorter compared with insert SANDVIK 4240. The material removal rate and tool life of insert YD201 do not draw the attention because both of them are relatively low. The abrasion speed of insert SANDVIK 4240 is slow and the efficiency is high, so it is ideal for machining titanium alloy (TC18). In addition, the optimal machining parameters of insert SANDVIK 4240 for milling titanium alloy (TC18) were also given in this paper.


2013 ◽  
Vol 770 ◽  
pp. 136-140 ◽  
Author(s):  
Lin Jiang He ◽  
Jiu Hua Xu ◽  
Hong Hua Su ◽  
Yan Chen

Nickel-based alloy is known as one of the most difficult-to-machine materials. During the machining process, the high temperature coupled with high strength and work hardening leads to excessive tool wear, short tool life, low productivity, etc. Tool life and material removal rate are the two targets of rough machining. In this paper, some turning tests are conducted to investigate the tool lives and material removal rate of coated carbide tools and whisker reinforced ceramic tools. The results show that notch wear is the dominant failure mode for whisker reinforced ceramic tools while severe flank wear and micro-chipping for coated carbide tools. The whisker reinforced ceramic tools are more effective in machining nickel-based alloys than the coated carbide tools both in tool life and material removal rate.


Materials ◽  
2019 ◽  
Vol 12 (3) ◽  
pp. 477 ◽  
Author(s):  
Alborz Shokrani ◽  
Stephen Newman

Titanium alloys are extensively used in aerospace and medical industries. About 15% of modern civil aircrafts are made from titanium alloys. Ti–6Al–4V, the most used titanium alloy, is widely considered a difficult-to-machine material due to short tool life, poor surface integrity, and low productivity during machining. Cryogenic machining using liquid nitrogen (LN2) has shown promising advantages in increasing tool life and material removal rate whilst improving surface integrity. However, to date, there is no study on cutting tool geometry and its performance relationship in cryogenic machining. This paper presents the first investigation on various cutting tool geometries for cryogenic end milling of Ti–6Al–4V alloy. The investigations revealed that a 14° rake angle and a 10° primary clearance angle are the most suitable geometries for cryogenic machining. The effect of cutting speed on tool life was also studied. The analysis indicated that 110 m/min cutting speed yields the longest tool life of 91 min whilst allowing for up to 83% increased productivity when machining Ti–6Al–4V. Overall the research shows significant impact in machining performance of Ti–6Al–4V with much higher material removal rate.


Sign in / Sign up

Export Citation Format

Share Document