COMPLEXITY-BASED ANALYSIS OF THE RELATION BETWEEN TOOL WEAR AND MACHINE VIBRATION IN TURNING OPERATION

Fractals ◽  
2020 ◽  
Vol 28 (01) ◽  
pp. 2050018 ◽  
Author(s):  
CHAI LIP KIEW ◽  
AKSHAYEN BRAHMANANDA ◽  
KH. TAUHID ISLAM ◽  
HAO NAM LEE ◽  
SAMUEL ANTHONY VENIER ◽  
...  
Keyword(s):  
Tool Wear ◽  
Feed Rate ◽  
Fractal Theory ◽  
Vibration Signal ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Fractal Structures ◽  
Machine Vibration ◽  
Speed Change ◽  
Machining Operations

Tool wear is an important issue that happens in all machining operations when the tool exerts forces on the workpiece. Therefore, engineers should choose the optimum values for machining parameters and conditions to reduce the amount of tool wear and increase its life. Machine vibration is one of the factors that highly affects tool wear. Since both tool wear and machine vibration signal have complex structures, in this research we employ fractal theory to find out their relation. In this paper, we analyze the relation between tool wear and machine vibration signal in different experiments where the depth of cut, feed rate and spindle speed change. The obtained results showed that tool wear and machine vibration signal are related to each other in case of variations of depth of cut and feed rate in different experiments, where both fractal structures get more complex by the increment of these machining parameters. The obtained method of analysis in this research can be potentially applied to other machining operations in order to link the machine vibration to the structure of tool wear.

FRACTAL-BASED ANALYSIS OF THE RELATION BETWEEN TOOL WEAR AND MACHINE VIBRATION IN MILLING OPERATION

Fractals ◽  
2020 ◽  
Vol 28 (06) ◽  
pp. 2050101
Author(s):  
MUHAMMAD OWAIS QADRI ◽  
HAMIDREZA NAMAZI
Keyword(s):  
Fractal Dimension ◽  
Tool Wear ◽  
Fractal Theory ◽  
Complex Structure ◽  
Vibration Signal ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Machine Vibration ◽  
Milling Operation ◽  
Machining Operations

Tool wear is one of the unwanted phenomena in machining operations where tool has direct contact with the workpiece. Tool wear is an important issue in milling operation that is caused due to different parameters such as machine vibration. Tool wear shows complex structure, and machine vibration is a chaotic signal that also is complex. In this research, we analyze the correlation between tool wear and machine vibration using fractal theory. We run the experiments in which machining parameters, namely depth of cut, feed rate and spindle speed change, and accordingly analyze the variations of fractal dimension of tool wear versus the fractal dimension of machine vibration signal. Based on the obtained results, variations of complexity of tool wear are reversely correlated with the variations of complexity of vibration signal. Fractal analysis could potentially be applied to other machining operations in order to investigate the relation between tool wear and machine vibration.

ANALYSIS OF THE RELATION BETWEEN FRACTAL STRUCTURES OF MACHINED SURFACE AND MACHINE VIBRATION SIGNAL IN TURNING OPERATION

Fractals ◽  
2020 ◽  
Vol 28 (01) ◽  
pp. 2050019 ◽  
Author(s):  
CHAI LIP KIEW ◽  
AKSHAYEN BRAHMANANDA ◽  
KH. TAUHID ISLAM ◽  
HAO NAM LEE ◽  
SAMUEL ANTHONY VENIER ◽  
...  
Keyword(s):  
Feed Rate ◽  
Fractal Structure ◽  
Vibration Signal ◽  
Spindle Speed ◽  
Point Of View ◽  
Depth Of Cut ◽  
Fractal Structures ◽  
Machined Surface ◽  
Machine Vibration

Investigating about the machined surface is an important issue in every machining operation. One of the factors that affect the quality of machined surface is the vibration of machine that is caused by different parameters such as the spindle speed. Therefore, the analysis of the relation between the machine vibration and surface quality of machined surface is very important. In this research, we analyze the relation between the machined surface and machine vibration from the complexity point of view. For this purpose, we employ fractal analysis. We investigate the variations of fractal structure of vibration signal collected from lathe machine versus the variations of fractal structure of the machined surface, for different depths of cut, feed rates and spindle speeds. Based on the obtained results, the variations of fractal structures of machined surface and vibration signal show a similar trend with the variations of depth of cut and feed rate, where by the increment of depth of cut and feed rate, vibration signal and machined surface get more complex. However, the obtained results in the case of variation of spindle speed do not show a consistent trend between variations of fractal structures of vibration signal and machined workpiece. The obtained method in this research can be applied to other machining operations in order to analyze the relation between the complexities of machine vibration and machined surface.

Fractal-Based Analysis of the Relation Between Surface Finish and Machine Vibration in Milling Operation

2019 ◽  
Vol 19 (01) ◽  
pp. 2050006 ◽  
Author(s):  
Muhammad Owais Qadri ◽  
Hamidreza Namazi
Keyword(s):  
Surface Quality ◽  
Complex Structure ◽  
Vibration Signal ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Machined Surface ◽  
Machine Vibration ◽  
Milling Operation ◽  
Surface Changes

Analysis of surface quality of machined workpiece is an important issue in machining of materials. For this purpose, scientists analyze how the texture of machined surface changes due to different conditions. Machine vibration is one of the factors that highly affects the surface quality of machined surface. In this research, we analyze the relation between machine vibration and surface quality of machined workpiece. For this purpose, we employ fractal theory and analyze how the complex structure of machined surface changes with the complex structure of machine vibration signal in case of variations of machining parameters, namely, depth of cut, feed rate and spindle speed, in milling operation. Based on the results, variations of surface quality of machined workpiece are related with the variations of complexity of machine vibration signal. The method of analysis employed in this research can be applied to other machining operations in order to find the relation between machine vibration and surface quality of machined workpiece.

COMPLEXITY-BASED ANALYSIS OF THE INFLUENCE OF MACHINING PARAMETERS ON THE SURFACE FINISH OF DRILLED HOLES IN DRILLING OPERATION

Fractals ◽  
2019 ◽  
Vol 27 (06) ◽  
pp. 1950087 ◽  
Author(s):  
ASHFAQ AHAMED ◽  
ATHIF AHAMED ◽  
DILAN KATUWAWALA ◽  
TEOH TIONG EE ◽  
ZI HAN TAN ◽  
...  
Keyword(s):  
Surface Quality ◽  
Fractal Theory ◽  
Spindle Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Dry Machining ◽  
Drilling Operation ◽  
Two Factors ◽  
Machining Operations

Drilling is a famous and widely used machining operation to make holes in the workpiece. The size and surface quality of drilled hole are two factors that should be considered mainly. In this research, we examine the effect of different machining parameters and conditions on the surface quality of generated hole in drilling operation. For this purpose, we employ fractal theory and investigate how the variations of depth of cut and spindle speed affect the complexity of surface texture of drilled holes in wet and dry machining conditions. Based on the obtained results, the increment of depth of cut and spindle speed in case of wet and dry machining causes lower complexity on the generated surface from drilling. In addition, the generated surface from dry machining is more complex than the generated surface from wet machining. The obtained method in this research can be applied to other machining operations in order to investigate the effect of machining parameters and conditions on the surface quality of machined workpiece.

The Effect of Cutting Speed and Feed Rate on Surface Roughness and Tool Wear when Machining Machining D2 Steel

2017 ◽  
Vol 909 ◽  
pp. 80-85 ◽  
Author(s):  
Mohd Rasidi Ibrahim ◽  
Tharmaraj Sreedharan ◽  
Nurul Aisyah Fadhlul Hadi ◽  
Mohammad Sukri Mustapa ◽  
Al Emran Ismail ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Tool Wear ◽  
Surface Quality ◽  
Feed Rate ◽  
Input Parameter ◽  
Cutting Temperature ◽  
Cutting Speed ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
D2 Steel

Machining parameters is a main aspect in performing turning operations using lathe machines. Cutting parameters such as cutting speed, feed rate and depth of cut gives big influence on the dynamic behavior of the machining system. In machining parts, surface quality and tool wear are the most crucial customer requirements. This is because the major indication of surface quality on machined part is the surface roughness and the value of tool wear. Hence, to improve the surface roughness and minimize the forming of tool wear, the optimum feed rate and cutting speed will be determined. The input parameter such as cutting speed, feed rate and depth of cut always influence the tool wear, surface roughness, cutting force, cutting temperature, tool life and dimensional accuracy. The D2 steel was being investigated from the perspective of the effect of cutting speed and feed rate on its surface roughness and tool wear. The results show that cutting speed is the main parameter which affects the surface roughness where the most optimum parameter would be at cutting speed of 173, 231 and 288 m/min with feed rate of 0.15 mm/rev. The tool wear strongly affected by feed rate where at 0.15 mm/rev the tool wear value is the lowest. The combination of high cutting speed and low feed rate was the best parameter to achieve smooth surface roughness.

DECODING OF THE RELATIONSHIP BETWEEN COMPLEX STRUCTURES OF MACHINED SURFACE AND TOOL WEAR IN MILLING OPERATION

Fractals ◽  
2020 ◽  
Vol 28 (07) ◽  
pp. 2050104
Author(s):  
MUHAMMAD OWAIS QADRI ◽  
HAMIDREZA NAMAZI
Keyword(s):  
Fractal Dimension ◽  
Tool Wear ◽  
Surface Finish ◽  
Fractal Analysis ◽  
Complex Structure ◽  
Depth Of Cut ◽  
Complex Structures ◽  
Machining Parameters ◽  
Machined Surface ◽  
Machining Operations

Surface finish of machined workpiece is one of the factors to evaluate the performance of machining operations. There are different factors such as machining parameters that affect the surface finish of machined workpiece. Tool wear is an unwanted machining issue that highly affects the surface finish of machined workpiece. In a similar way, different parameters (e.g. cutting speed, feed rate and depth of cut) also affect tool wear. In this research, we investigated how the complex structure of machined workpiece is related to the complex structure of tool wear. For this purpose, we benefited from the fractal analysis. The experiments were conducted based on the variations of machining parameters (depth of cut, feed rate and spindle speed), and accordingly the fractal dimension of machined surface was analyzed versus the fractal dimension of tool wear. Based on the obtained results, the complexity of machined surface is related to the complexity of tool wear. Fractal analysis could be applied to other machining operations to analyze the complex structures of machined surface and tool and potentially make a relationship between them.

FRACTAL-BASED ANALYSIS OF THE RELATION BETWEEN THE FRACTAL STRUCTURES OF MACHINED SURFACE AND TOOL WEAR IN TURNING OPERATION

Fractals ◽  
2019 ◽  
Vol 27 (06) ◽  
pp. 1950094 ◽  
Author(s):  
CHAI LIP KIEW ◽  
AKSHAYEN BRAHMANANDA ◽  
KH TAUHID ISLAM ◽  
HAO NAM LEE ◽  
SAMUEL ANTHONY VENIER ◽  
...  
Keyword(s):  
Tool Wear ◽  
Surface Quality ◽  
Surface Finish ◽  
Complex Structure ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Machined Surface ◽  
Turning Operation ◽  
Machining Operations

Obtaining the optimum surface finish is one of the key factors in machining operations. For this purpose, engineers apply a set of machining parameters to obtain the desired surface quality. On the other hand, tool faces wear during machining operation that itself affects the surface quality of machined surface. Therefore, tool wear and surface finish of machined workpiece should be related to each other. In this research, we employ fractal analysis in order to investigate the correlation between variations of complex structure of machined surface and tool wear in turning operation. In fact, we changed the machining parameters between different experiments and investigated how the machined surface is correlated with the tool wear. Based on the obtained results, we can see the correlation between the complexity of machined surface and tool wear by increasing the depth of cut, spindle speed and feed rate in different experiments. The method of analysis employed in this research can be widely applied to other machining operations in order to find the correlation between the surface quality of machined surface and tool wear.

Tool wear and resulting surface finish during micro slot milling of polycarbonates using uncoated and coated carbide tools

2019 ◽  
Vol 234 (1-2) ◽  
pp. 52-65 ◽  
Author(s):  
Muhammad Pervej Jahan ◽  
Jianfeng Ma ◽  
Craig Hanson ◽  
Greg K Arbuckle
Keyword(s):  
Tool Wear ◽  
Surface Finish ◽  
Feed Rate ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Machined Surface ◽  
Slot Milling ◽  
Coated Tools ◽  
Tool Coating ◽  
Micro Channels

A growing application of polycarbonates is in the microfluidic disks and DNA detection devices, where surface finish of the micro-channels plays an important role. This study intends to investigate the tool wear and surface finish generated during micro slot milling of polycarbonate using uncoated, TiN-coated, and TiAlN-coated tungsten carbide tools. The effects of tool coating and the machining parameters on the possible reduction of tool wear and improvement of surface finish were investigated. It was found that with careful selection of cutting parameters and tool coating, micro-channels with smoother surface finish, minimum burrs around the edges, and controlled tool wear can be obtained using micro-milling. A combination of medium range of depth of cut and feed rate was found to improve the surface finish in polycarbonates, as well as minimize the tool wear. The TiAlN tool coating was found to only be effective in reducing tool wear without much effect on the machined surface. The adhesion was found to be the most dominating tool wear mechanism in uncoated carbide tool, followed by cutting edge chipping and tool nose’s plastic failure. The adhesion wear was found to be reduced in coated tools, especially in TiAlN-coated tools, although delamination wear started to dominate in the coated tools when higher feed rate and depth of cut were used. Both lower and higher of depths of cut were found to generate higher tool wear and leave traces of tool marks on the machined surface.

scholarly journals Analysis of vibration signals to quantify displacement amplitude in the monitoring of vibration-assisted turning

2017 ◽  
Vol 233 (1) ◽  
pp. 35-47 ◽  
Author(s):  
Balla Srinivasa Prasad ◽  
Javvadi Umamaheswara Rao ◽  
A Gopala Krishna
Keyword(s):  
Tool Wear ◽  
Cutting Force ◽  
Real Time ◽  
Feed Rate ◽  
Laser Doppler Vibrometer ◽  
Vibration Signal ◽  
Depth Of Cut ◽  
Workpiece Material ◽  
Vibration Signals ◽  
Coated Carbide

Vibration-assisted machining combines precision machining with small-amplitude tool vibration at high frequency to improve the fabrication process. It has been applied to a number of processes from turning to drilling to grinding. This work presents the validation of tool condition monitoring system based on vibration parameters. For this purpose, an experimental investigation is planned to acquire vibration signal data during the machining. This work primarily focuses on quantifying the presence of relative vibrations between the cutting tool and a workpiece during vibration-assisted turning process which helps in predicting tool life. For this purpose, an online acoustic optic emission-based vibration transducer, i.e. Laser Doppler Vibrometer, is used as a component of a novel approach. Cutting force and vibration signals were recorded and analyzed. Machine dynamic effects such as cutting force and tool wear are taken into account during the dry machining of Ti-6Al-4V alloys specimens. Identifying the correlation among tool wear, cutting forces and displacement due to vibration is a critical task in the present study. Real-time experimental findings are used to predict the evolution of displacement and tool wear in the experiment. Efficacy of a logical relationship among the process variables such as displacement, feed rate, spindle rotational speed, and depth of cut is critically examined. Results of the present study are used to establish a strategy for real-time efficient tool monitoring systems for vibration-assisted turning operation. The wear mechanisms of DNMA 432 coated carbide and uncoated carbide insert tools were examined at different combinations of feed rate, spindle speed, and depth of cut for turning of Ti-6Al-4V workpiece material.

Modeling and Analysis of Cutting Force in Turning of AISI 316L Stainless Steel (SS) under Nano Cutting Environment

2015 ◽  
Vol 766-767 ◽  
pp. 949-955 ◽  
Author(s):  
T. Rajmohan ◽  
S.D. Sathishkumar ◽  
K. Palanikumar ◽  
S. Ranganathan
Keyword(s):  
Stainless Steel ◽  
Feed Rate ◽  
316L Stainless Steel ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
Aisi 316L ◽  
Machining Performance ◽  
Aisi 316L Stainless Steel ◽  
Modeling And Analysis ◽  
Machining Operations

Nano Cutting fluids play a significant role in machining operations and impact shop productivity, tool life and quality of work. In the present work, machining performance of AISI 316L Stainless steel (SS) is assessed under nano cutting environment. Experiments are performed by plain turning of 80mm diameter and 300mm long rod of AISI 316L SS on NAGMAT centre lathe under wet machining with and without Multi Wall Carbon nano Tubes (MWCNT) inclusions in the conventional lubricant. The Second order quadratic models were developed to predict cutting forces using response surface methodology (RSM) based D-optimal design. Machining parameters such as speed, feed rate and depth of cut are chosen as numerical factor, and the wt % of MWCNT content is considered as the categorical factor. Furthermore, using analysis of variance method, significant contributions of process parameters have been determined. Experimental results reveal that wt % of MWCNT and feed rate are the dominant variables on responses.

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