Modeling of Material Removal Rate in Two-Dimensional Ultrasonic Grinding Complex Ceramics

2007 ◽  
Vol 359-360 ◽  
pp. 431-435
Author(s):  
Guo Fu Gao ◽  
Bo Zhao ◽  
Qing Hua Kong ◽  
Chuan Shao Liu
Keyword(s):  
Ultrasonic Vibration ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Brittle Materials ◽  
Machining Process ◽  
Machining Parameters ◽  
Two Dimensional ◽  
Vibration Assistance ◽  
Micro Indentation

Based on the machining pattern, mechanics of material removal and theory of micro-indentation, in previous studies the models of material removal rate of hard-brittle materials was discussed through the relatively influencing factors of machining parameters from various aspects, reflecting the research advances on mechanics of material removal of hard-brittle materials. However, those models of material removal rate have limitations, which results from impercipient theory of fracture of new kinks of materials, randomicity of practical machining process, inappropriate assumptions and simplification of the machining conditions and so on. In this work firstly, previous models of material removal rate of hard-brittle materials machining with ultrasonic assistance were reviewed briefly. Subsequently, the models of material removal rate of complex ceramics machining with two-dimensional ultrasonic vibration assistance were established based on fracture theory of micro- indentation in fracture regime and plastic removal mechanics in ductile regime respectively. The material removal rate is affected not only by the properties of material and machining parameters, but also by the character of grinding wheel and parameters of ultrasonic vibration.

Modeling of High Efficiency Removal in the Grinding of Aluminal/ZrO2 Nanocomposites with the Aid of Two-Dimensional Ultrasonic Vibration

2007 ◽  
Vol 329 ◽  
pp. 451-458 ◽  
Author(s):  
Yan Wu ◽  
A.G. Sun ◽  
Bo Zhao ◽  
Xun Sheng Zhu
Keyword(s):  
Ultrasonic Vibration ◽  
Material Removal Rate ◽  
Material Removal ◽  
High Efficiency ◽  
Removal Rate ◽  
Abrasive Particle ◽  
Experimental Results ◽  
Two Dimensional ◽  
Conventional Grinding ◽  
Vibration Assistance

Based on the single abrasive particle motion locus of elliptical spiral in two-dimensional ultrasonic vibration grinding (WTDUVG), the theoretical model representing the material removal rate are deduced and verified, and the reason of high efficiency material removal by applying two-dimensional ultrasonic vibration is analyzed. Finally, experimental researches on material removal rate of ceramics were carried out using coarse grit diamond wheel both with and without workpiece two-dimensional ultrasonic vibration assistance grinding. Experimental results indicated that (1) Material removal rate (MRR) in vibration grinding process is about 1.5 times as large as that of in conventional grinding, the experimental results are in good agreement with the calculated ones. (2)The material removal rate increases along with increases of the grinding depth and workpiece velocity both in with and without vibration grinding. (3)The vibration grinding surface had no spur and build-up edge and its surface roughness was smaller than CG significantly. Surface quality of WTDUVG is superior to that of conventional grinding, it is easy for ultrasonic vibration grinding that material removal mechanism is ductile regime grinding.

Optimization of μEDM process assisted with rotating magnetic pulling force and ultrasonic vibration

2021 ◽  
pp. 095440892098440
Author(s):  
Gurpreet Singh ◽  
DR Prajapati ◽  
PS Satsangi
Keyword(s):  
Ultrasonic Vibration ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Electrical Discharge Machining ◽  
Removal Rate ◽  
Machining Process ◽  
Micro Electrical Discharge Machining ◽  
Pulling Force ◽  
Tool Rotation

The micro-electrical discharge machining process is hindered by low material removal rate and low surface quality, which bound its capability. The assistance of ultrasonic vibration and magnetic pulling force in micro-electrical discharge machining helps to overcome this limitation and increase the stability of the machining process. In the present research, an attempt has been made on Taguchi based GRA optimization for µEDM assisted with ultrasonic vibration and magnetic pulling force while µEDM of SKD-5 die steel with the tubular copper electrode. The process parameters such as ultrasonic vibration, magnetic pulling force, tool rotation, energy and feed rate have been chosen as process variables. Material removal rate and taper of the feature have been selected as response measures. From the experimental study, it has been found that response output measures have been significantly improved by 18% as compared to non assisted µEDM. The best optimal combination of input parameters for improved performance measures were recorded as machining with ultrasonic vibration (U1), 0.25 kgf of magnetic pulling force (M1), 600 rpm of tool rotation (R2), 3.38 mJ of energy (E3) and 1.5 mm/min of Tool feed rate (F3). The confirmation trail was also carried out for the validation of the results attained by Grey Relational Analysis and confirmed that there is a substantial improvement with both assistance applied simultaneously.

Comparative Study and Mathematical Modeling of Machining Parameters in Ultrasonic-Assisted EDM of AISI H13 Tool Steel by the Application of Workpiece Vibration

2010 ◽  
Vol 154-155 ◽  
pp. 1604-1613
Author(s):  
Mohammad Reza Shabgard ◽  
Babak Sadizadeh ◽  
Keivan Amini ◽  
Hamid Pourziaie
Keyword(s):  
Comparative Study ◽  
Ultrasonic Vibration ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Correct Selection ◽  
Machining Parameters ◽  
Machining Performance ◽  
Ultrasonic Assisted ◽  
Aisi H13

The correct selection of the machining parameters is one of the most significant issues to take into consideration in Ultrasonic-assisted Electrical Discharge Machining (US-EDM) and EDM processes. In the present work, a study has been made to develop and extract statistical models to show the relationship between important machining performance data (material removal rate (MRR), tool wear ratio (TWR) and surface roughness Ra) and the input machining parameters (pulse current, and pulse-on time) in the EDM and US-EDM of AISI H13. The models obtained were used to analyze the effects of input parameters on machining performance. In addition, a comparative study was carried out to investigate the effect of ultrasonic vibration of the workpiece on machining performance. The results show that Ultrasonic vibration of the workpiece can significantly reduce the inactive pulses and improves the stability of process. Also US-EDM is effective in attaining a high material removal rate (MRR) in finishing regime in comparison with conventional EDM. The results of Analysis of Variance (ANOVA) indicate that the proposed mathematical models can adequately explain the performance within the limits of the factors being studied.

High Efficient Mechanism of Material Removal in Two-Dimensional Ultrasonic Grinding from the Locus Perspective

2009 ◽  
Vol 416 ◽  
pp. 609-613
Author(s):  
Ming Li Zhao ◽  
Bo Zhao ◽  
Yu Qing Wang ◽  
Guo Fu Gao
Keyword(s):  
Ultrasonic Vibration ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Material Surface ◽  
Grinding Wheel ◽  
Two Dimensional ◽  
Abrasive Grains ◽  
Ultrasonic Grinding ◽  
High Efficient

Relative motion of single abrasive is analyzed for the different applied directions of longitudinal ultrasonic vibration, and its locus is simulated in the present paper. The research results show that the locus in two-dimensional ultrasonic vibration is only similar to that in y-direction, and both are close to sinusoid curves. The width of grooves scratched by abrasive grains y-direction (axial direction of grinding wheel) is two times of the vibration amplitude, and the material removal rate increases remarkably. In case of x-direction (tangential direction of grinding wheel) ultrasonic vibration, abrasive grains with periodic force impact material surface with high frequency vibration, which make material fracture removal easy. Therefore, the high efficiency essence of material removal in two-dimensional ultrasonic grinding is revealed in view of locus. In addition, according to the results of grinding experiments, under same conditions good surface quality can be obtained in two-dimensional ultrasonic grinding and material removal rate in common grinding is the lowest. Consequently it is further proved that the method of two-dimensional ultrasonic vibration grinding is an effective one for ceramic materials.

scholarly journals Tool Wear Rate Prediction by using Optimization Techniques

2019 ◽  
Vol 9 (2) ◽  
pp. 1271-1277
Keyword(s):  
Surface Roughness ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Optimization Techniques ◽  
Machining Process ◽  
Machining Parameters ◽  
Tungsten Carbides ◽  
Electro Discharge Machining ◽  
Pulse On Time

Electro discharge machining is a non-traditional machining process used for machining hard-to-machine materials, such as various grades of titanium alloys, heat-treated alloy steels, composites, tungsten carbides, and so forth. These materials are hard to machine with customary machining procedures like drilling, milling and hence electro-discharge machining is used to machine such materials to get better quality and efficiency. These materials are generally utilized in current industries like die making industries, aeronautics, nuclear industries, and medical fields. This type of machining is thermalbased, and machining takes place due to repetitive electric sparks that generate between workpiece and tool. Both tools and workpieces are inundated in a dielectric liquid, which has two primary functions. In the first place, it behaves like a medium between the work metal and the tool. Second, it is a flushing agent to expel the machined metal from the machined zone. Machining parameters like a pulse on time, current, wire feed the tool and gap voltage affect the output responses like surface roughness and material removal rate. The material removal rate is a significant parameter that determines machining efficiency. Surface roughness is also a vital parameter that decides machining quality. A lot of research has been conducted to determine the optimum parameters for obtaining the best results. In the present work, a comprehensive review of different types of EDM and the effect of various machining parameters on the surface roughness, material removal rate, and other response parameters has been done.

Statistical analysis of material removal rate and surface roughness in electrical discharge turning of titanium alloy (Ti-6Al-4V)

2016 ◽  
Vol 232 (9) ◽  
pp. 1603-1614 ◽  
Author(s):  
Vikas Gohil ◽  
Yogesh M Puri
Keyword(s):  
Surface Roughness ◽  
Titanium Alloy ◽  
Material Removal Rate ◽  
Electrical Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Machining Parameters ◽  
Peak Current ◽  
Pulse On Time

Electrical discharge turning is a unique form of electrical discharge machining process, which is being especially developed to generate cylindrical forms and helical profiles on the difficult-to-machine materials at both macro and micro levels. A precise submerged rotating spindle as a work holding system was designed and added to a conventional electrical discharge machine to rotate the workpiece. A conductive preshaped strip of copper as a forming tool is fed (reciprocate) continuously against the rotating workpiece; thus, mirror image of the tool is formed on the circumference of the workpiece. The machining performance of electrical discharge turning process is defined and influenced by its machining parameters, which directly affects the quality of the machined component. This study presents an investigation on the effects of the machining parameters, namely, pulse-on time, peak current, gap voltage, spindle speed and flushing pressure, on the material removal rate (MRR) and surface roughness (Ra) in electrical discharge turning of titanium alloy Ti-6Al-4V. This has been done by means of Taguchi’s design of experiment technique. Analysis of variance as well as regression analysis is performed on the experimental data. The signal-to-noise ratio analysis is employed to find the optimal condition. The experimental results indicate that peak current, gap voltage and pulse-on time are the most significant influencing parameters that contribute more than 90% to material removal rate. In the context of Ra, peak current and pulse-on time come up with more than 82% of contribution. Finally, the obtained predicted optimal results were verified experimentally. It was shown that the error values are all less than 6%, confirming the feasibility and effectiveness of the adopted approach.

Performance Measurement and Data Analysis of Material Removal Rate for Wire Cut Electro Discharge Machining Process

2011 ◽  
Vol 110-116 ◽  
pp. 1683-1690 ◽  
Author(s):  
Vishal Parashar ◽  
A. Rehman ◽  
J.L. Bhagoria
Keyword(s):  
Regression Analysis ◽  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Performance Criteria ◽  
Machining Parameters ◽  
Pulse On Time ◽  
Pulse Off Time ◽  
Dielectric Flushing

In this paper, statistical and regression analysis of material removal rate using design of experiments is proposed for WEDM operations. Experimentation was planned as per Taguchi’s mixed orthogonal array. Each experiment has been performed under different cutting conditions of gap voltage, pulse ON time, pulse OFF time, wire feed and dielectric flushing pressure. Stainless Steel grade 304L was selected as a work material to conduct the experiments. From experimental results, the material removal rate was determined for each machining performance criteria. Analysis of variance (ANOVA) technique was used to find out the variables affecting the material removal rate. Assumptions of ANOVA were discussed and carefully examined using analysis of residuals. Variation of the material removal rate with machining parameters was mathematically modeled by using the regression analysis method. The developed model was validated with a set of experimental data and appeared to be satisfactory. Signal to noise ratio was applied to measure the performance characteristics deviating from the actual value. Finally, experimental confirmation was carried out to identify the effectiveness of this proposed method.

Study on Compound Machining of Polyurethane Polishing Pad and Cluster Abrasive Brush Based on MR Effect

2011 ◽  
Vol 487 ◽  
pp. 238-242 ◽  
Author(s):  
Min Li ◽  
Qiu Sheng Yan ◽  
Jia Bin Lu ◽  
Jing Fu Chai
Keyword(s):  
Material Removal Rate ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Machining Parameters ◽  
Polishing Process ◽  
Workpiece Material ◽  
Crystal Silicon ◽  
Polishing Pad ◽  
Mr Effect

Method of compound machining is used to process single crystal silicon and SrTiO3 ceramic substrates, and the factors on effects of compound machining are studied such as magnetic field intensity, processing time, rotating speed of lapping plate and lapping pressure. The results show that the roughness of work pieces processed by compound machining are smaller than that by lapping based on cluster MR effect and polyurethane pad polishing process, while the material removal rate is higher than polyurethane pad polishing process, therefore, compound machining shows its synergistic effect between lapping based on cluster MR effect and polyurethane pad polishing process. The type and properties of workpiece material, and machining parameters both have a significant impact on the roughness and material removal rate of compound machining process of polyurethane polishing pad and cluster abrasive brush based on MR effect.

Electro-Thermal Modelling for Material Removal Study in Electric Discharge Machining Process

2015 ◽  
Author(s):  
Yash Pachaury ◽  
Puneet Tandon
Keyword(s):  
Material Removal Rate ◽  
Electric Discharge ◽  
Material Removal ◽  
Removal Rate ◽  
Machining Process ◽  
Two Dimensional ◽  
Electric Discharge Machining ◽  
Element Analysis ◽  
Plasma Flushing Efficiency ◽  
Art Research

In the present study, an attempt has been made to model the electric discharge machining process using the numerical simulation technique. Realistic parameters are added in the model such as variable fraction of heat going to the electrodes, and variation in the plasma flushing efficiency with the process parameters. Gaussian distributed heat flux is applied at the spark location and the two-dimensional heat conduction equation is solved with the help of finite element analysis technique to determine the temperature distribution within the two-dimensional process continuum, using averaged thermo-physical properties of the work material. Melting isotherms are determined and the material removed during a single discharge is obtained from it. Material removal rate is determined using a regression model for the plasma flushing efficiency. Experimental validation is made with the help of highly precise AGIE SIT experimental data. The material removal rate is also compared with state of the art research of other researchers. It has been observed that, at low value of the discharge energies, the proposed model is able to predict the experimental material removal rate better than that of the model proposed by other researchers. However, as the discharge energy increases, the accuracy of prediction decreases. The model can be used for achieving process parameter optimization hence saving both the costs and large lead times associated with determining optimized parameters experimentally.

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