Experimental investigation into effects of different ultrasonic vibration modes in micro-extrusion process

2021 ◽  
Vol 67 ◽  
pp. 427-437
Author(s):  
Guangchao Han ◽  
Weiqiang Wan ◽  
Zhaochen Zhang ◽  
Linhong Xu ◽  
Fuchu Liu ◽  
...  
Metals ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. 1209
Author(s):  
Linhong Xu ◽  
Yulan Lei ◽  
Haiou Zhang ◽  
Zhaochen Zhang ◽  
Yuchu Sheng ◽  
...  

As an effective method for the fabrication of miniature metallic parts, the development of micro-forming process (MFP) is still restricted by the existence of size effect. To improve the micro-forming performance of metal material, ultrasonic vibration assisted MFP had been studied extensively for its superiorities in improving materials flow stress and reducing interfacial friction. However, from the literature available, the high frequency vibration was usually found to be superimposed on the forming tool while seldom on the workpiece. Our group developed a special porous sonotrode platform which can realize tool vibration and workpiece ultrasonic vibration independently. In this work, ultrasonic micro-extrusion experiments for copper T2 material under tool vibration and the workpiece vibration condition, respectively, were conducted for comparing the micro-forming characteristic of different vibration modes. The micro-extrusion experiment results of copper T2 show that the lower extrusion flow stress, the higher micro-extrusion formability and surface micro-hardness, and more obvious grain refinement phenomenon can be obtained under the workpiece vibration condition compared with that of tool vibration. These findings may enhance our understanding on different ultrasonic forming mechanisms and energy transmission efficiency under two different vibration modes.


Metals ◽  
2015 ◽  
Vol 5 (1) ◽  
pp. 471-483 ◽  
Author(s):  
Mahmoud Ebrahimi ◽  
Faramarz Djavanroodi ◽  
Sobhan Tiji ◽  
Hamed Gholipour ◽  
Ceren Gode

Author(s):  
James L. Lawen ◽  
George T. Flowers

This study examines the response of a flexible rotor supported by load sharing between linear bearings and an auxiliary clearance bearing. The objective of the work is to develop a better understanding of the dynamical behavior of a magnetic bearing supported rotor system interacting with auxiliary bearings during a critical operating condition. Of particular interest is the effect of coupling between the bearing/housing and shaft vibration on the rotordynamical responses. A simulation model is developed and a number of studies are performed for various parametric configurations. An experimental investigation is also conducted to compare and verify the rotordynamic behavior predicted by the simulation studies. A strategy for reducing sychronous shaft vibration through appropriate design of coupled shaft/bearing/housing vibration modes is identified. The results are presented and discussed.


Author(s):  
Q. Feng ◽  
W. L. Cong ◽  
M. Zhang ◽  
Z. J. Pei ◽  
C. Z. Ren

As one of the near-to-mid-term alternatives to fossil fuels, cellulosic biofuels can cut greenhouse gas emissions while continuing to meet liquid transportation fuel needs. By processing cellulosic biomass into pellets, density and handling efficiency of cellulosic feedstocks will be improved, resulting in a reduction in transportation and handling costs in biofuel manufacturing. Temperature of biomass during the pelleting process can affect the quality of the pellet. But effects of pelleting variables on biomass temperature during ultrasonic vibration-assisted (UV-A) pelleting are still unknown. This paper reports an experimental investigation on temperature of biomass in UV-A pelleting. It studies the effects of moisture content of the biomass and pelleting variables (ultrasonic power, tool travel distance, and feedrate). The results will be helpful in understanding the effects of ultrasonic vibration on biomass temperature, compaction mechanism, and biofuel conversion.


2011 ◽  
Vol 52-54 ◽  
pp. 103-108 ◽  
Author(s):  
Kamran Pazand ◽  
Hawshin Feizi

Neural Networks are powerful data modeling tools that are capable of capturing and representing complex input/output relationships. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform "intelligent" tasks similar to those performed by the human brain. Using artificial neural network in approximating of complex data is one of easy way to save time and cost. Ultrasonic vibrations can be applied on the die during the extrusion process. Numerical and experimental analyses have been already performed in the literature on the application of ultrasonic vibrations on the wire drawing, deep drawing, upsetting and rolling processes. No attempts have been made to investigate on the effects of ultrasonic vibrations on the forward extrusion process, yet. A detailed analysis and understanding of the mechanism of improvement is not possible on the basis of conventional experimental observations because ultrasonic vibration processing phenomenon occur at high speeds. Hence, in order to progress the perceptive of the mechanism of ultrasonic vibration extrusion, the finite element analysis was performed by using the explicit analysis procedure. The proposed approach builds on a comprehensive Neuro-Finite Element simulation of the effects of ultrasonic vibration on the forward extrusion. Then use the resulting data to train a Multi-Layer Perceptron (MLP) Neural Network which would predict –accurately enough- those quantities throughout the speeds, vibration amplitudes and frequencies, friction factors and reductions body for any given input vector. The resulting neural simulator is intended to replace the computationally expensive cost-function evaluators that are traditionally used in numerical optimization algorithms. To demonstrate the applicability of the proposed approach, we examine data from FEM as from training with together ultrasonic vibration using the constructed neural simulator and present the results.


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