Process parameters influence on cutting force and surface roughness during hybrid laser- and ultrasonic elliptical vibration-assisted machining

2021 ◽  
Vol 43 (1) ◽  
Author(s):  
Mohsen Khajehzadeh ◽  
Seyyed Sajjad Ahmadpoor ◽  
Omid Rohani Raftar ◽  
Mohammad Reza Beyki Sarveolia ◽  
Mohammad Reza Razfar
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Process Parameters ◽  
Elliptical Vibration ◽  
Ultrasonic Elliptical Vibration

A Polishing Method of Single-Incentive Ultrasonic Elliptical Vibration for Tungsten Carbide Mould

2011 ◽  
Vol 175 ◽  
pp. 140-144 ◽  
Author(s):  
Shao Hui Yin ◽  
Zhi Qiang Xu ◽  
Jian Wu Yu ◽  
Ze Biao Wang
Keyword(s):  
Surface Roughness ◽  
Finite Element ◽  
Tungsten Carbide ◽  
Ultrasonic Transducer ◽  
Experimental Result ◽  
Basic Principles ◽  
Elliptical Vibration ◽  
Element Simulation ◽  
Mould Surface ◽  
Ultrasonic Elliptical Vibration

The basic principles of ultrasonic transducer and ultrasonic elliptical vibration polishing are investigated. A new kind of single-incentive ultrasonic transducer is designed, and the finite element simulation is conducted, a polishing device is developed based on the ultrasonic elliptical vibration. The polishing experiment is adopted to polish a tungsten carbide mold with the diameter 5cm. The experimental result shows that the tungsten carbide mould surface roughness changes from the original 0.026μm to 0.017μm.

High Frequency Ultrasonic Elliptical Vibration Turning Studty for Weak Rigidity Precision Workpiece

2011 ◽  
Vol 467-469 ◽  
pp. 236-240 ◽  
Author(s):  
Wen Li ◽  
De Yuan Zhang
Keyword(s):  
Surface Roughness ◽  
High Frequency ◽  
Critical Speed ◽  
Machining Efficiency ◽  
Elliptical Vibration Cutting ◽  
Vibration Cutting ◽  
Elliptical Vibration ◽  
Forming Accuracy ◽  
Ultrasonic Elliptical Vibration ◽  
Cutting Direction

Based on analysis of the micro-surface and kinematical formulas of elliptical vibration cutting(EVC), the paper presents that frequency and amplitude of vibration parameter affect surface roughness, forming accuracy and machining efficiency of weak rigidity workpiece: increase vibration frequency are result in lower vibration cutting duty cycle , lower cutting force, advancer critical speed, so advance forming accuracy and machining efficiency; decrease amplitude are result in reduce the height of vibration ripples in cutting direction , so improve surface roughness. Experiences of cutting the weak rigidity workpiece by the designed double bending hybrid vibration high transducer, verified that the high frequency elliptical vibration cutting are proved more conducive to machining weak rigidity workpiece.

Optimization of Process Parameters for Cutting Force for Aluminium 7010 in CNC End Milling Process

2018 ◽  
Vol 10 (6) ◽  
Author(s):  
M. Kishanth ◽  
P. Rajkamal ◽  
D. Karthikeyan ◽  
K. Anand
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Process Parameters ◽  
End Milling ◽  
Milling Process ◽  
Machining Process ◽  
Depth Of Cut ◽  
Optimization Of Process Parameters ◽  
Cnc End Milling ◽  
End Milling Process

In this paper CNC end milling process have been optimized in cutting force and surface roughness based on the three process parameters (i.e.) speed, feed rate and depth of cut. Since the end milling process is used for abrading the wear caused is very high, in order to reduce the wear caused by high cutting force and to decrease the surface roughness, the optimization is much needed for this process. Especially for materials like aluminium 7010, this kind of study is important for further improvement in machining process and also it will improve the stability of the machine.

MULTI-PARAMETER ANN MODEL FOR FLAT-END MILLING

2008 ◽  
Vol 32 (3-4) ◽  
pp. 523-536 ◽  
Author(s):  
Hazim El Mounayri ◽  
M. Affan Badar ◽  
Gustavo A. Rengifo
Keyword(s):  
Neural Network ◽  
Surface Roughness ◽  
Cutting Force ◽  
Process Parameters ◽  
End Milling ◽  
Predictive Ability ◽  
Ann Model ◽  
Network Output ◽  
Input Variables ◽  
Artificial Neural Network Ann

The quality, productivity and safety of machining can be significantly improved through the optimization of cutting conditions. The first step in achieving such an objective is the development of accurate and reliable models for predicting the critical process parameters. In this paper, an innovative Artificial Neural Network (ANN) model that predicts both cutting force and surface roughness in end milling is developed and validated. A set of five input variables is selected to represent the machining conditions while twelve quantities representing two key process parameters, namely, cutting force and surface roughness, form the variables of the network output. Full factorial design of experiments is used to generate data for both training and validation. Successful training of the neural network is demonstrated through comparison of simulated and experimental results for four different output variables, namely cutting force, surface roughness, feed marks, and tooth passing frequency. The predictive ability of the model is verified experimentally by comparing simulated output variables with their experimental counterparts. A good agreement is observed.

Research on Cutting Force Characteristics of Laser and Ultrasonic Assisted Cutting of Sintered Tungsten Carbide with FEA Method

2013 ◽  
Vol 770 ◽  
pp. 272-275 ◽  
Author(s):  
Feng Jiao ◽  
Feng Bian Li ◽  
Peng Duan
Keyword(s):  
Tungsten Carbide ◽  
Cutting Force ◽  
Vibration Frequency ◽  
Laser Heating ◽  
Heating Temperature ◽  
Vibration Cutting ◽  
Elliptical Vibration ◽  
Ultrasonic Assisted ◽  
Ultrasonic Elliptical Vibration ◽  
Force Characteristics

Based on the application of elliptical vibration cutting method to precision machining of hard and brittle materials and material softening technology through laser heating, a novel composite cutting technique, laser heating and ultrasonic elliptical vibration assisted cutting, is applied to process sintered tungsten carbide. The simulation of the orthogonal cutting process and the effect of frequency and amplitude of vibration and laser heating temperature on cutting force are discussed by using FEA method. Research results have revealed that the main peak of the transient force components increase with the increase of vibration frequency, decrease with the increase of vibration amplitude and laser heating temperature. Moreover, the friction reversal phenomenon is improved with the increase of vibration frequency and amplitude, resulting in the decrease of average cutting force. Compared to common cutting and traditional one-dimensional ultrasonic vibration cutting, the composite cutting technology put forward in this paper has unique cutting force characteristics for such super hard material because of combined action of friction reversal and intermittence cutting for ultrasonic elliptical vibration and material softening for laser heating. The research in the paper has provided a practical reference for the further experiments of laser and ultrasonic assisted cutting.

High-pressure jet-assisted turning of AISI 304: Experimental and multi-objective optimization approach

2017 ◽  
Vol 232 (6) ◽  
pp. 734-750 ◽  
Author(s):  
Sayed E Mirmohammadsadeghi ◽  
H Amirabadi
Keyword(s):  
Genetic Algorithm ◽  
Surface Roughness ◽  
High Pressure ◽  
Cutting Force ◽  
Process Parameters ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Aisi 304 ◽  
Multi Objective ◽  
304 Austenitic Stainless Steel

High-pressure jet-assisted turning is an effective method to decrease the cutting force and surface roughness. Efficiency of this process is related to application of proper jet pressure proportional to other process parameters. In this research, experiments were conducted for high-pressure jet-assisted turning in finishing AISI 304 austenitic stainless steel, based on response surface method. Against the expectations, the maximum jet pressure could not lead to the most efficient results, which means that applying high-pressure jet-assisted turning without considering optimal process parameters will diminish the improving effects of high-pressure jet assistance. For this purpose, two artificial neural networks were trained by genetic algorithm to model the surface roughness and cutting force based on the process parameters. Ultimately, nondominated sorting genetic algorithm was implemented for multi-objective optimization of process. Results demonstrated that the employed method provides an effective approach that indicates optimized range of process parameters.

On the Surface Roughness for the Dry Superfinishing Process of Carbide Inserts

2019 ◽  
Vol 34 ◽  
pp. 40-45
Author(s):  
Nicolae Craciunoiu ◽  
Daniela Florentina Tărâţă ◽  
Cosmin Miritoiu ◽  
Dumitru Panduru ◽  
Emil Nicusor Patru
Keyword(s):  
Surface Roughness ◽  
Cutting Force ◽  
Process Parameters ◽  
Point Of View ◽  
Rake Face ◽  
Tool Edge ◽  
Carbide Inserts

The surface roughness of tool edge and surface can affect the friction, between the rake face and chips and also the cutting force and temperature. For this reasons, in order to assure a good quality, some experimental determinations, from point of view of rake face roughness, are presented in this paper. The results, as capture from a SEM microscope, and, graphically dependencies of roughness as function of process parameters, are presented.

scholarly journals Numerical Analysis in Ultrasonic Elliptical Vibration Cutting (UEVC) Combined With Electrical Discharge Cutting (EDC) For Ti6Al4V

2021 ◽  
Author(s):  
Rendi Kurniawan ◽  
Moran Xu ◽  
Chang Ping Li ◽  
Gun Chul Park ◽  
Ye In Kwak ◽  
...  
Keyword(s):  
Numerical Analysis ◽  
Cutting Force ◽  
Cutting Forces ◽  
Electrical Discharge ◽  
Von Mises Stress ◽  
Elliptical Vibration Cutting ◽  
Vibration Cutting ◽  
Elliptical Vibration ◽  
Von Mises ◽  
Ultrasonic Elliptical Vibration

Abstract This paper reports the numerical analysis results of ultrasonic elliptical vibration cutting (UEVC) combined with the electrical discharge cutting (EDC), called UEVC+EDC. UEVC delivers decreasing cutting forces, repressing side-burrs, and lowering tool wear. EDC is a cutting technique using a pulsed spark to remove material using thermal energy. Difficult-to-cut materials, such as Ti-6Al-4V, can be cut effectively by combining these two techniques. A numerical study was performed using ABAQUS finite element analysis (FEA) software by investigating the von Mises stress, cutting forces, and temperature. Numerical analysis was carried out by modifying the ultrasonic vibration frequency, distance of the discharge pulse, discharge voltage, and discharge pulse radius. UEVC+EDC was compared numerically and experimentally with regular cutting (NC) and UEVC in terms of cutting force and tool temperature. The results showed that the UEVC+EDC method could improve the cutting condition by reducing the cutting force and von Mises stress and increasing the tool temperature.

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