scholarly journals Investigation on the Stiffness of Wire Web of Multi Wire Sawing Machine and Its Influence on Machining Accuracy

2021 ◽  
Author(s):  
jian qiu ◽  
Shanbao Zhang ◽  
Rilai Fu ◽  
He Zhu ◽  
Guodong Yang ◽  
...  
Keyword(s):  
Machine Tools ◽  
Metal Cutting ◽  
Semiconductor Industry ◽  
Machining Process ◽  
Machining Accuracy ◽  
Special Significance ◽  
Evaluation Standard ◽  
Diamond Wire ◽  
Cutting Machine ◽  
Diamond Wire Sawing

Abstract Diamond wire sawing has gradually applied as the dominant way of silicon sawing in the photovoltaic and semiconductor industry. In the design and evaluation field of diamond wire sawing machine, little research on the static stiffness are presented. But in the design field of traditional metal cutting machine tools, stiffness is an extremely important performance index. The stiffness of wire web should be mastered to improve the machining accuracy of diamond wire sawing. The special significance of this study is that stiffness of wire web is considered to be the key index of multi wire sawing performance, as a result, wire lag and wire bow due to the loss of the stiffness of wire web could be minimized. Aiming at the problem of the stiffness of wire web, the measurement method, process and evaluation standard were proposed. The influence of the stiffness of wire web on the machining process, wire bow, cutting force, machining accuracy and other factors were studied.

Dynamics of the processes in metal machining

1998 ◽  
Vol 2 ◽  
pp. 115-122
Author(s):  
Donatas Švitra ◽  
Jolanta Janutėnienė
Keyword(s):  
High Frequency ◽  
Machine Tools ◽  
Metal Cutting ◽  
Cutting Tool ◽  
Low Frequency ◽  
Metal Cutting Machine ◽  
Cutting Machine ◽  
Metal Machining

In the practice of processing of metals by cutting it is necessary to overcome the vibration of the cutting tool, the processed detail and units of the machine tool. These vibrations in many cases are an obstacle to increase the productivity and quality of treatment of details on metal-cutting machine tools. Vibration at cutting of metals is a very diverse phenomenon due to both it’s nature and the form of oscillatory motion. The most general classification of vibrations at cutting is a division them into forced vibration and autovibrations. The most difficult to remove and poorly investigated are the autovibrations, i.e. vibrations arising at the absence of external periodic forces. The autovibrations, stipulated by the process of cutting on metalcutting machine are of two types: the low-frequency autovibrations and high-frequency autovibrations. When the low-frequency autovibration there appear, the cutting process ought to be terminated and the cause of the vibrations eliminated. Otherwise, there is a danger of a break of both machine and tool. In the case of high-frequency vibration the machine operates apparently quiently, but the processed surface feature small-sized roughness. The frequency of autovibrations can reach 5000 Hz and more.

scholarly journals Simulation of the ductile machining mode of silicon

2021 ◽  
Author(s):  
Hagen Klippel ◽  
Stefan Süssmaier ◽  
Matthias Röthlin ◽  
Mohamadreza Afrasiabi ◽  
Uygar Pala ◽  
...  
Keyword(s):  
Brittle Material ◽  
Material Removal ◽  
Machining Process ◽  
Ductile Material ◽  
Diamond Wire ◽  
Ductile Machining ◽  
Mesh Free ◽  
Diamond Wire Sawing ◽  
Material Removal Mode ◽  
Brittle Material Removal

AbstractDiamond wire sawing has been developed to reduce the cutting loss when cutting silicon wafers from ingots. The surface of silicon solar cells must be flawless in order to achieve the highest possible efficiency. However, the surface is damaged during sawing. The extent of the damage depends primarily on the material removal mode. Under certain conditions, the generally brittle material can be machined in ductile mode, whereby considerably fewer cracks occur in the surface than with brittle material removal. In the presented paper, a numerical model is developed in order to support the optimisation of the machining process regarding the transition between ductile and brittle material removal. The simulations are performed with an GPU-accelerated in-house developed code using mesh-free methods which easily handle large deformations while classic methods like FEM would require intensive remeshing. The Johnson-Cook flow stress model is implemented and used to evaluate the applicability of a model for ductile material behaviour in the transition zone between ductile and brittle removal mode. The simulation results are compared with results obtained from single grain scratch experiments using a real, non-idealised grain geometry as present in the diamond wire sawing process.

Dynamic optimization method with applications for machine tools based on approximation model

2017 ◽  
Vol 232 (11) ◽  
pp. 2009-2022 ◽  
Author(s):  
TJ Li ◽  
XH Ding ◽  
K Cheng ◽  
T Wu
Keyword(s):  
Machine Tool ◽  
Performance Optimization ◽  
Machine Tools ◽  
Optimization Design ◽  
Natural Frequencies ◽  
Dynamic Performance ◽  
Machining Process ◽  
Machining Accuracy ◽  
Approximation Model ◽  
Dynamic Behaviors

Natural frequencies and modal shapes of machine tools have position-dependent characteristics owing to their dynamic behaviors changing with the positions of moving parts. It is time-consuming and difficult to evaluate the dynamic behaviors of machine tools and their machining accuracy at different positions. In this paper, a Kriging approximation model coupled with finite element method is proposed to substitute the dynamic equations for obtaining the position-dependent natural frequencies of a machine tool, as well as relative positions between the tool and the workpiece during the machining process. Based on the proposed method, dynamic performance optimization design of the machine tool is conducted under the condition of minimum relative positions. Three case studies are illustrated to demonstrate the implementation of the proposed method.

Study on the Wear of Diamond Beads in Wire Sawing

2006 ◽  
Vol 532-533 ◽  
pp. 436-439 ◽  
Author(s):  
Hui Huang ◽  
Xi Peng Xu
Keyword(s):  
Digital Video ◽  
Civil Engineering ◽  
Machining Process ◽  
Matrix System ◽  
Diamond Wire ◽  
Video Microscope ◽  
Moving Direction ◽  
Diamond Wire Sawing ◽  
Sawing Process

Diamond wire sawing has been used for many applications in stone industries and civil engineering several decades ago. The wear of bead is a major factor that affects wire-sawing performance in machining process. In this paper, seven diamond wires with different matrix system and different structures are taken from the factory. The diameters in the front, middle and end of bead along the moving direction of diamond wire, are measured respectively. The wear of diamond grits is also observed using a digital video microscope system. It is show that the wear of bead varies along the moving direction of diamond wire. The wear in the front of bead is greater than the others. The diameter gaps are associated with the type of matrix and the wear of diamond grits. The diameter gaps keep constant in the smooth sawing process.

Tool Condition Monitoring Based on an Adaptive Neurofuzzy Architecture

2004 ◽  
Vol 471-472 ◽  
pp. 196-200 ◽  
Author(s):  
P. Fu ◽  
A.D. Hope ◽  
G.A. King
Keyword(s):  
Condition Monitoring ◽  
Metal Cutting ◽  
Production Efficiency ◽  
Process Condition ◽  
Recognition Algorithm ◽  
Tool Condition Monitoring ◽  
Machining Process ◽  
Machining Accuracy ◽  
Knowledge Based ◽  
Tool Condition

Metal cutting operations constitute a large percentage of the manufacturing activity. One of the most important objectives of metal cutting research is to develop techniques that enable optimal utilization of machine tools, improved production efficiency, high machining accuracy and reduced machine downtime and tooling costs. Machining process condition monitoring is certainly the important monitoring requirement of unintended machining operations. A multi-purpose intelligent tool condition monitoring technique for metal cutting process will be introduced in this paper. The knowledge based intelligent pattern recognition algorithm is mainly composed of a fuzzy feature filter and algebraic neurofuzzy networks. It can carry out the fusion of multi-sensor information to enable the proposed intelligent architecture to recognize the tool condition successfully.

Regulation of an ovulatory cycle

1998 ◽  
Vol 2 ◽  
pp. 107-114 ◽  
Author(s):  
D. Švitra ◽  
R. Grigolienė ◽  
A. Puidokaitė
Keyword(s):  
High Frequency ◽  
Machine Tools ◽  
Metal Cutting ◽  
Cutting Tool ◽  
Low Frequency ◽  
Metal Cutting Machine ◽  
Ovulatory Cycle ◽  
Cutting Machine

In the practice of processing of metals by cutting it is necessary to overcome the vibration of the cutting tool, the processed detail and units of the machine tool. These vibrations in many cases are an obstacle to increase the productivity and quality of treatment of details on metal-cutting machine tools. Vibration at cutting of metals is a very diverse phenomenon due to both it’s nature and the form of oscillatory motion. The most general classification of vibrations at cutting is a division them into forced vibration and autovibrations. The most difficult to remove and poorly investigated are the autovibrations, i.e. vibrations arising at the absence of external periodic forces. The autovibrations, stipulated by the process of cutting on metalcutting machine are of two types: the low-frequency autovibrations and high-frequency autovibrations. When the low-frequency autovibration there appear, the cutting process ought to be terminated and the cause of the vibrations eliminated. Otherwise, there is a danger of a break of both machine and tool. In the case of high-frequency vibration the machine operates apparently quiently, but the processed surface feature small-sized roughness. The frequency of autovibrations can reach 5000 Hz and more.

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