scholarly journals Optimization of Honing Surface Roughness of Carburized Holes Based on GRA-RSM

Machines ◽  
2021 ◽  
Vol 9 (11) ◽  
pp. 291
Author(s):  
Tao Tang ◽  
Chi Liu ◽  
Rong Wang

The carburized holes processed by ordinary internal grinding are prone to burn, crack, and low efficiency. Honing has a superior machining efficiency and cooling effect compared to traditional internal grinding. In this paper, we innovatively apply honing to carburizing hole grinding and propose an effective optimization scheme to enhance the surface finish of carburized holes. We set up an experimental system to explore the influence law of honing head rotation speed, axial reciprocating speed, grain size, and single grinding depth on surface roughness. Based on the grey correlation and response surface method, we propose a method to optimize the honing parameters of carburized holes and establish a prediction model, which has an R2 value of 0.9887, indicating that the model fits well. We verify the validity of the model by the root mean square error of 0.012 between the measured and calculated values. Based on the model, the optimal parameters of roughness (Ra) is obtained and verified by experiments. Compared with the original honing parameters, the surface roughness quality is improved by 25.8%. It shows that the optimized honing process based on the GRA-RSM method improves the surface quality of carburized holes significantly.

2019 ◽  
Vol 950 ◽  
pp. 24-31 ◽  
Author(s):  
Le Xuan Hung ◽  
Vu Thi Lien ◽  
Vu Ngoc Pi ◽  
Banh Tien Long

This paper aims to analysis the effect of coolant parameters on surface roughness in internal cylindrical grinding of annealed 9CrSi steel. The concentration and flow rate of the coolant are investigated in thirteen experiments by central composite design and response surface method. The effect of each parameter and their interaction on the surface roughness are analyzed by their regression model. From that model, optimal parameters are determined to obtain the minimum surface roughness. The measured roughness matches with the predicted roughness from the regression model. This proposed is proven and it can be further applied for optimizing other machining processes.


2019 ◽  
Vol 889 ◽  
pp. 155-160
Author(s):  
Trong Mai Nguyen ◽  
Đuc Quy Tran ◽  
Van Nghe Pham ◽  
Van Canh Nguyen

In this research work, the result of the effects of technological parameters on surface roughness in extrusion bars of aluminum alloy were pesented. The results of this study may be used for choosing optimal parameters of extrusion process so that surface quality of extruded bar was improved.


2014 ◽  
Vol 625 ◽  
pp. 140-148 ◽  
Author(s):  
Assefa Asmare Tsegaw ◽  
Fang Jung Shiou

Most optical glasses are in recent years being manufactured by diamond turning processes which has certainly modernized the field of production of optics. Confines of diamond turning for both form and surface finish accuracy have not been reached, yet. In advent of contemporary technology, high precision finishing techniques are of great concern and the need of present industrialized-scenario. This paper presents the development of a small rotary multi-jet abrasive fluid jet polishing tool for use in polishing of optical glasses. The newly designed and manufactured tool has relative angular speed with respect to the spindle of machining centre and is capable of polishing at micro levels. The paper also investigates the optimal polishing parameters for selected, crown optical glass based on experiments conducted using Taguchi’s experimental method. According to the possible number of control factorsL18orthogonal array was used. ANOVA analysis was carried out to determine the main factors which would affect the surface roughness significantly. Consequently, a 2.5 μm size of Al2O3abrasive, 10wt% abrasive concentration, 40 rpm of polishing head rotation, 6 numbers of nozzles, 6 kg/cm2of fluid pressure, 45minuet of polishing time and 40% of step over have been found to be the optimal parameters. It was observed that about 97.22% improvements on surface roughness; Ra, from 0.360 μm to 0.010 μm has been achieved using the optimal parameters. In addition to this; rotation of polishing head, applied fluid pressure and polishing time were found to have significant effect on surface roughness improvement.


2010 ◽  
Vol 44-47 ◽  
pp. 3031-3035
Author(s):  
Zhi Yu Zhao ◽  
Guang Tao Zhou ◽  
Su Zhi Zhang ◽  
Bi Bo Xia

Pulse electrochemical polishing is an important method to improve the surface quality of metal sheet. The reasonable control of process parameters is the key to obtain high-quality polishing. In this paper mechanism of pulse electrochemical polishing of stainless steel were studied using the stainless steel sheets of SUS201, SUS202, and SUS304. The influence of the current density, pulse frequency, duty cycle, and other factors on surface roughness were examined, and the optimal parameters was determined. The research results have directional meaning to the scale polishing of stainless steel-based in manufacturing enterprise.


2021 ◽  
Vol 24 (6) ◽  
pp. 1190-1198
Author(s):  
A. V. Savilov ◽  
A. S. Pyatykh ◽  
S. A. Timofeev

Abstract: The purpose is to improve the machining efficiency of titanium alloy transpedicular screws on highperformance machine-tools based on the selection of advanced technological approaches, and to analyze the current manufacturing technology of implants on CNC machines of the semi-automatic longitudinal turning lathe type. The efficiency is assessed using the following criteria: process performance determined by the machine time and the quality of implant processing (surface roughness, geometric accuracy, mechanical properties). It is found that semi -automatic longitudinal lathes equipped with a collet feed system and drive heads for thread whirling allow processing the implants of the transpedicular screw type in a single set-up with maximum efficiency. It is shown that the machining technology of transpedicular screws is largely determined by the features of their design. The type and shape of the thread have the greatest influence on the used cutting tool and cutting modes. The analysis of screw breakages revealed that the main failure reasons are design defects and poor machining quality of the threaded part. It is determined that the use of the thread whirling method makes it possible to obtain the thread in one cutting pass and, therefore, significantly increase the machining performance compared to the traditional technology without any loss of quality. Additional advantages of this method are the reduction in the number of tools used and follow-on finishing deburring operations. Based on the conducted analysis the manufacture of transpedicular titanium alloy screws is recommended to perform using advanced cutting tools, primarily thread whirling cutters ensuring 4 times increase in machining performance without any loss of the processed item quality and 2 times reduced surface roughness. In this case the temperature in the cutting zone decreases, which has a positive effect on processed product service life. The condition for the effective use of the cutters is equipping of the machine-tools involved in the technological process with special drive heads.


Author(s):  
Jiasheng Li ◽  
Yang Jiao ◽  
Pinkuan Liu

To improve the surface quality of the copper and reduce the diamond tool wear, a prediction model is established experimentally for the relationship between surface roughness and machining parameters. Based on the processing principle of flycutting machining, the prediction model for surface roughness is set up by response surface methodology. Then, a machining experiment for the copper is conducted under different cutting parameters designed by Taguchi method and the surface roughness is tested by 4D technology dynamic laser interferometer. After that, the prediction model is obtained by analyzing the experimental data, and the accuracy of the model is verified by analysis of variance (ANOVA), R2 value and residual analysis. Furthermore, the effect of cutting parameters upon the surface roughness is analyzed. Finally, validation tests are conducted to verify the model. Experimental results demonstrate that the prediction model is adequate at 95% confidence level. The output of prediction model helps to select cutting parameters to reduce surface roughness which ensures surface quality in ultra-precision fly cutting machining.


Author(s):  
Zhaoju Zhu ◽  
Shaochun Sui ◽  
Jie Sun ◽  
Jianfeng Li ◽  
Kai Liu

In order to break the bottleneck of low efficiency, bad quality following drilling alloy Ti6Al4V, the effect of cutting parameters on thrust force, drilling vibration, burr height and surface roughness was studied based on response surface method. The optimized parameters were obtained. Results showed that feed rate had significant effect on thrust force and little on drilling vibration, while cutting speed had significant effect on vibration and little on thrust force. It is also observed that surface roughness decreased with cutting speed increasing, as well as increased with feed rate increasing. In addition, microstructure on the drilled hole surface showed mobility along feeding direction. Grain refinement on the drilling hole surface became serious with the increase of cutting speed and feed rate.


2013 ◽  
Vol 397-400 ◽  
pp. 1558-1562
Author(s):  
Mei Yu Chen ◽  
Hong Bing Xin ◽  
Quan Lai Li ◽  
Yue Fei Xin ◽  
Deng Qi Cui ◽  
...  

The experimental system of dynamic characteristics is set up to improve the dynamics performance and motion control quality of 2-DOF robot. The vibration acceleration response of the end actuator is measured at different speeds in two directions vertical and parallel to the workbench plane. The frequency spectrum is obtained through frequency analysis to provide a basis to improve the performance of robot.


2021 ◽  
Vol 338 ◽  
pp. 01022
Author(s):  
Jan Pawlik ◽  
Damian Dzienniak

The paper contains a study of the influence of thermal treatment of the 3D-printed polylactide parts in sodium chloride dust on the surface roughness of the manufactured part. The conducted experiment features annealing with the use of two different sizes of NaCl crystals and two levels of temperature. All the samples were made with natural polylactic acid filament using the fused deposition modeling (FDM) method. The samples were put into a salt scaffold and placed in the electric furnace to remelt the surface of the part while keeping pressure on the walls to prevent unwanted deformation. The results show that it is possible to improve the quality of additively manufactured component’s surfaces as long as optimal parameters are applied.


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