On the Possibility of Process Monitoring in Grinding by Spark Intensity Measurements

Rajmohan, B.; Radhakrishnan, V. M.

doi:10.1115/1.2901802

Cited by 4 publications

(6 citation statements)

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“…Measuring the temperatures T wmean , T gmean , and T c , the thermal partition coefficients β w , β g and β c are calculated from the above equations (4), (9) and (10). Measurement of workpiece temperature is relatively easy among three kinds of temperatures.…”

Section: Thermal Partition Coefficientmentioning

confidence: 99%

A study on aspects of attrition wear of cutting grains in grinding process

Yamada

Ueda

Hosokawa

2011

Int. J. Precis. Eng. Manuf.

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In this study, the influences caused by the wear of grinding wheel are investigated experimentally. The infrared radiation pyrometer with an optical fiber is developed and applied for the temperature measurement in the surface grinding process of carbon steels. Experimental data such as the temperature, the number and the size of effective cutting grains and the grinding forces are obtained over the wheel life, and they are used for the calculation of the thermal energy fraction to the workpiece, the grinding wheel and the chips. Thermal damage begins to be caused on the ground surface, as the attrition wear of grains decreases the number of effective cutting grains and degrades the efficiency of grinding wheel. The measuring of radiation pulses from the cutting grains makes it possible to detect the degradation of grinding wheel at an early stage of wheel life and prevent the severe damages on work surface.

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Section: Thermal Partition Coefficientmentioning

confidence: 99%

A study on aspects of attrition wear of cutting grains in grinding process

Yamada

Ueda

Hosokawa

2011

Int. J. Precis. Eng. Manuf.

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“…This is owing to the high load on the grains and the clogging of high-temperature chips on to the bonding material. In practical situations, the wear mechanisms may occur simultaneously with different intensities, depending upon the cutting parameters, cutting fluid, grinding wheel specification, workpiece material, and type of grinding operation [5]. All these wear mechanisms contribute to the changes in the grinding wheel topography.…”

Section: Grinding Wheel Wearmentioning

confidence: 99%

Texture analysis for grinding wheel wear assessment using machine vision

Arunachalam

Ramamoorthy

2007

Proceedings of the Institution of Mechanical Engineers, Part B:

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The surface quality of the components produced in a grinding process mainly depends on the grinding wheel topography. To maintain the quality of the component, the condition of the grinding wheel should be monitored and the periodical dressing has to be done to retain the shape and the sharpness of the cutting edges. In the present paper, the machine-vision-based texture analysis methods are introduced to discriminate the surface condition of the grinding wheel. The grinding wheel images are acquired using a charge coupled device (CCD) camera at different intervals of time during the process and the texture of the grinding wheel image is analysed using appropriate statistical and fractal methods. The variation of the parameters with the condition of the grinding wheel surface is analysed and presented. The evaluated parameters are clearly discriminating the texture of the grinding wheel at every stage. The methods presented in this paper can be used to assess the grinding wheel condition effectively.

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“…The efficiency of the cooling process in grinding is therefore important in order to increase the reliability of the process and improve the surface quality of the machined parts. The application of a video camera for monitoring the grinding process based on the sparks generated by the process it has been reported in previous research [6]. Some researchers, see [22], used thermal modelling to estimate the heat generated by a grinding process and to prevent thermal damage.…”

Section: Grinding Processmentioning

confidence: 99%

“…This could reduce the flexibility and the reliability of the monitoring process by monitoring a signal rather than a complete image. Other methods such as force [6], acoustic emission [24], laser triangulation [25] and mircomegnitic techniques [26] have also been used. This paper investigates the applicability of a low-cost infrared imager for monitoring grinding processes.…”

Section: Grinding Processmentioning

confidence: 99%

“…Sensors are key elements of a successful monitoring system [3]. Sensors far as force, acoustic emission (AE), vibrations and the conventional visible spectrum camera [5,6] and infrared cameras for monitoring the heat patterns or temperature of machine or process have also been used in Laboratory environments [7]. However, high sensitivity infrared cameras are exceptionally expensive for use in a real production environment.…”

Section: Introductionmentioning

confidence: 99%

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An autonomous low-Cost infrared system for the on-line monitoring of manufacturing processes using novelty detection

Al‐Habaibeh

Parkin

2003

The International Journal of Advanced Manufacturing Technology

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This paper describes the implementation of a process monitoring system using a low-cost autonomous infrared imager combined with a novelty detection algorithm. The infrared imager is used to monitor the health of several manufacturing processes namely: drilling, grinding, welding and soldering. The main aim is to evaluate the use of low-cost infrared sensor technology combined with novelty detection to distinguish between normal and faulty conditions of manufacturing processes. The ultimate aim is to improve the reliability of the manufacturing operations so as to ensure high part quality and reduce inspection costs. The paper describes several case studies, which have shown that the new lowcost technology could provide an inexpensive and autonomous methodology for monitoring manufacturing processes. Novelty detection is used to compare normal and faulty conditions in order to provide an automated system for fault detection.

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On the Possibility of Process Monitoring in Grinding by Spark Intensity Measurements

Cited by 4 publications

References 0 publications

A study on aspects of attrition wear of cutting grains in grinding process

A study on aspects of attrition wear of cutting grains in grinding process

Texture analysis for grinding wheel wear assessment using machine vision

An autonomous low-Cost infrared system for the on-line monitoring of manufacturing processes using novelty detection

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