Cutting Temperature Measurement in Turning with Actively Driven Rotary Tool

2008 ◽  
Vol 389-390 ◽  
pp. 138-143 ◽  
Author(s):  
Suryadiwansa Harun ◽  
Toshiro Shibasaka ◽  
Toshimichi Moriwaki
Keyword(s):  
Inclination Angle ◽  
Rotational Speed ◽  
Minimum Temperature ◽  
Cutting Temperature ◽  
Tool Rotational Speed ◽  
Rotary Tool ◽  
Minimum Value ◽  
Edge Temperature ◽  
Tool Rotation ◽  
Constantan Wire

In this paper, turning with actively driven rotary tool was investigated. The influence of machining conditions such as tool rotational speed and inclination angle on the cutting edge temperature is examined experimentally. The temperature was measured by a thermocouple of constantan wire and work material. Experimental results show that the cutting temperature decreases with increasing tool rotational speed to a minimum value at a certain tool rotational speed and then increase. Next, the minimum temperature recorded by tool rotation was approximately 150oC lower than that the cutting with a non-rotating tool. Finally, the cutting temperature also decreases with the increase of inclination angle to a minimum value at an inclination angle.

A Model for the Tool Temperature During Machining With a Rotary Tool

2001 ◽  
Author(s):  
Hossam A. Kishawy ◽  
Andrew G. Gerber
Keyword(s):  
Temperature Distribution ◽  
Rotational Speed ◽  
Measured Temperature ◽  
Tool Rotational Speed ◽  
Tool Temperature ◽  
Radial Temperature ◽  
Conservation Of Energy ◽  
Rotary Tool ◽  
Finite Volume Discretization ◽  
Heat Partitioning

Abstract In this paper a model is developed to analyze heat transfer and temperature distribution resulting during machining with rotary tools. The presented model is based on a finite-volume discretization approach applied to a general conservation of energy statement for the rotary tool and chip during machining. The tool rotational speed is modeled and its effect on the heat partitioning between the tool and the chip is investigated. The model is also used to examine the influence of tool speed on the radial temperature distribution on the tool rake face. A comparison between the predicted and previously measured temperature data shows good agreement. In general the results show that the tool-chip partitioning is influenced dramatically by increasing the tool rotational speed at low to moderate levels of tool speed. Also, there is an optimum tool rotational speed at which further increase in the tool rotational speed increases the average tool temperature.

scholarly journals Effects of Tool Edge Geometry on Cutting Temperature in Continuous Cutting of Case Hardened Steel

2013 ◽  
Vol 7 (3) ◽  
pp. 313-320 ◽  
Author(s):  
Ryutaro Tanaka ◽  
◽  
Akira Hosokawa ◽  
Tatsuaki Furumoto ◽  
Takashi Ueda ◽  
...  
Keyword(s):  
Optical Fiber ◽  
Flank Wear ◽  
Cutting Temperature ◽  
Hardened Steel ◽  
Nose Radius ◽  
Edge Geometry ◽  
Tool Edge ◽  
Edge Temperature ◽  
Color Pyrometer

This study was conducted to investigate the effects of tool edge geometry on cutting temperature in the continuous cutting of case hardened steel. The tool edge temperature was measured using a two-color pyrometer with an optical fiber. The tool flank temperature increased with the negative land angle. When the flank wear VB was 0.05 mm, the tool flank temperature was only a little higher than with a new insert. However, when the flank wear VB was 0.1 mm, the tool flank temperature was dramatically higher. A horned insert resulted in higher tool flank temperature than when an insert without a horned edge was used. The tendency was remarkable at larger negative land angles and wider flank wear widths. Tool flank temperature increased with an increase in the nose radius of inserts. When comparing inserts with the same nose radius, the insert with the wiper edge caused higher tool flank temperatures than did the insert without the wiper edge.

scholarly journals Research on Cutting Force and Surface Integrity of TC18 Titanium Alloy by Longitudinal Ultrasonic Vibration Assisted Milling

2021 ◽  
Author(s):  
Weibo Xie ◽  
Xikui Wang ◽  
Erbo Liu ◽  
Jian Wang ◽  
Xiaobin Tang ◽  
...  
Keyword(s):  
Titanium Alloy ◽  
Cutting Force ◽  
Ultrasonic Vibration ◽  
Surface Integrity ◽  
Rotational Speed ◽  
Three Dimensional ◽  
Cutting Temperature ◽  
Surface Residual Stress ◽  
Deformation Layer ◽  
Vibration Milling

Abstract In order to study the influence of rotational speed and amplitude on the surface integrity, TC18 titanium alloy samples were milled by the process of conventional milling and longitudinal ultrasonic vibration assisted milling. The experimental data were obtained by dynamometer, thermometer, scanning electron microscope, X-ray diffractometer and three-dimensional surface topography instrument for observation and analysis. The results show that the rotational speed has a significant effect on the cutting force, cutting temperature, surface morphology and surface residual stress. Compared with ordinary milling, the surface micro-texture produced by ultrasonic vibration milling is more regular, , and with the increase of rotational speed, the influence of ultrasonic vibration on cutting force and cutting temperature decrease. There are adverse effects on surface roughness after ultrasonic vibration superposition. The influence of ultrasonic vibration on the surface residual compressive stress is also greatly reduced when the rotational speed is greater than 2400 rpm. In addition, a certain depth of plastic deformation layer can be formed under the surface of ultrasonic vibration machining, and the depth of deformation layer increases with the increase of vibration.

Comparison of response surface methodology with artificial neural network for prediction of the tensile properties of friction stir-processed surface composites

2021 ◽  
pp. 095440892110368
Author(s):  
Ravi Butola ◽  
Ranganath M. Singari ◽  
Qasim Murtaza ◽  
Lakshay Tyagi
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Tensile Strength ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Rotational Speed ◽  
Total Elongation ◽  
Tool Rotational Speed ◽  
Friction Stir ◽  
Artificial Neural

In the present work, nanoboron carbide is integrated in the aluminum matrix using friction stir processing: by varying process parameters, that is, tool pin profile, tool rotational speed and tool traverse speed, based on Taguchi L16 design of experiment. A self-assembled monolayer is successfully developed on the substrate to homogeneously and uniformly distribute the reinforcement particles. Response surface methodology and artificial neural network models are developed using ultimate tensile strength and total elongation as responses. Percentage absolute error between the experimental and predicted values of ultimate tensile strength and total elongation for the response surface methodology model is 3.537 and 2.865, respectively, and for artificial neural network is 2.788 and 2.578, respectively. For both the developed models experimental and forecasted values are in close approximation. The artificial neural network model showed slightly better predictive capacity compared to the response surface methodology model. From the scanning electron microscopy micrograph, it is evident that throughout the matrix B4C reinforcement particles are well distributed also; with increasing tool rotational speed grain size decreases up to 1200 r/min; on further increasing the tool rotational speed particles starts clustering.

Effect of Al2O3 nanoparticles on microstructure and mechanical properties of friction stir-welded dissimilar aluminum alloys AA7075-T6 and AA6061-T6

2021 ◽  
pp. 095440892110655
Author(s):  
Sumit Jain ◽  
R.S. Mishra
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Rotational Speed ◽  
Traverse Speed ◽  
Particle Dispersion ◽  
Al2o3 Nanoparticles ◽  
Tool Rotational Speed ◽  
Micro Hardness ◽  
Friction Stir ◽  
Dissimilar Aluminum Alloys

In this research, a defect-free dissimilar weld joint of AA7075-T6 and AA6061-T6 reinforced with Al2O3 nanoparticles was fabricated via friction stir welding (FSW). The influence of tool rotational speed (700, 900 and 1100 rpm), traverse speed (40, 50 and 60 mm/min) with varying volume fractions of Al2O3 nanoparticles (4%, 7% and 10%) on microstructural evolution and mechanical properties were investigated. The augmentation of various mechanical properties is based on the homogeneity of particle dispersion and grains refinement in the SZ of the FSWed joint. The findings revealed that the remarkable reduction in grain size in the SZ was observed owing to the incorporation of Al2O3 nanoparticles produces the pinning effect, which prevents the growth of grain boundaries by dynamic recrystallization (DRX). The increasing volume fraction of Al2O3 nanoparticles enhanced the mechanical properties such as tensile strength, % elongation and micro-hardness. Agglomeration of particles was observed in the SZ of the FSWed joints produced at lower tool rotational speed of 700 rpm and higher traverse speed of 60 mm/min due to unusual material flow. Homogenous particle dispersion and enhanced material mixing ensue at higher rotational speed of 1100 rpm and lower traverse speed of 40 mm/min exhibit higher tensile strength and micro-hardness.

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