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grinding wheel condition prediction and improvement citeseerx

CiteSeerX — Grinding wheel loading with and without vibration ...

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Due to its tool structure and composition, the grinding operation is considered the best machining process in the manufacture of brittle materials like ceramics. A grinding wheel distributes wear over many cutters and is capable of replenishing itself.

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Grinding Wheel Condition Prediction and Improvement

Grinding Wheel Condition Prediction and Improvement Ping Zhang, Michele H. Miller Michigan Technological University, Houghton, MI Introduction

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(PDF) Grinding Wheel Loading with and without Vibration ...

Based on the grinding conditions and wheel characteristics, the simulation program calculates chip volumes. ... "Grinding Wheel Condition Prediction and Improvement", Proc. of the ASPE Annual ...

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Optimization of parameters in cylindrical and surface ...

The optimum conditions of grinding parameters for lower surface roughness for EN8 steel were the grinding wheel speed 1400 r.p.m., table travel speed 10 m min −1, depth of cut 10 µm, grinding wheel A60K5V10 and table cross feed 0.03 m min −1 for surface grinding.

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Grinding Wheel Condition Prediction and Improvement - CORE

Abstract. Grinding is regarded as a good way to do ceramics machining due to its multiple abrasive cutting particles. While a single point tool may dull and require re-sharpening, a grinding wheel distributes wear over many cutters and is capable of replenishing itself.

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(PDF) Predicting Surface Roughness in Grinding Using Neural ...

The AE signal, generated during the grinding processes, has been verified to be related to the process state and the surface condition of the grinding tool and workpiece [2]. By using this ...

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Development of portable power monitoring system and grinding ...

The actual application was further demonstrated with some case studies for grinding cycle reduction, energy consumption saving, grinding wheel assessment/selection, wheel (dressing/cleaning) condition monitoring, grinding quality improvement, and grinding burn avoidance. 2. Portable power monitoring system development2.1. Hardware architecture

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Mathematical Model of the Grinding Force With Account for ...

The performed experiments on measurement of the grinding force during circular grinding have shown a 10% convergence with the calculated values. The developed grinding force model can be used as a forecast model to determine the operational functionality of grinding wheel when used in varying technological conditions.

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Prediction on grinding force during grinding powder ...

The model was finally validated by the orthogonal grinding experiment of powder metallurgy nickel-based superalloy FGH96 by using the electroplated CBN abrasive wheel. Grinding force values of prediction and experiment were in good consistency. The errors of tangential grinding force and normal grinding force were 9.8% and 13.6%, respectively.

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Review of Productivity Improvement by ... - CiteSeerX

wheel. For manufacturers, grinding wheels provide an efficient way to shape and finish metals and other materials. Grinding wheels are the only way to create parts with precision dimensions and high-quality surface finishes. At this time, grinding wheels are used in almost every industry.

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CiteSeerX — Grinding Wheel Condition Prediction and Improvement

CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Grinding is regarded as a good way to do ceramics machining due to its multiple abrasive cutting particles. While a single point tool may dull and require re-sharpening, a grinding wheel distributes wear over many cutters and is capable of replenishing itself.

Get Price

Grinding Wheel Condition Prediction and Improvement

Grinding Wheel Condition Prediction and Improvement Ping Zhang, Michele H. Miller Michigan Technological University, Houghton, MI Introduction

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A wavelet-based methodology for grinding wheel condition ...

Grinding wheel surface condition changes as more material is removed. This paper presents a wavelet-based methodology for grinding wheel condition monitoring based on acoustic emission (AE) signals. Grinding experiments in creep feed mode were conducted to grind alumina specimens with a resinoid-bonded diamond wheel using two different conditions.

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Modeling of the Grinding Wheel Topography Depending on the ...

As result, the knowledge-based prediction of the grinding wheel topography and its influence on the machining behavior will only be possible if the recipe-dependent grinding wheel structure is known. This paper presents an innovative approach for modeling the grinding wheel structure and the resultant grinding wheel topography.

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Grinding Wheel Condition Prediction and Improvement - CORE

Grinding is regarded as a good way to do ceramics machining due to its multiple abrasive cutting particles. While a single point tool may dull and require re-sharpening, a grinding wheel distributes wear over many cutters and is capable of replenishing itself. However, the quality o

Get Price

Grinding Wheel Condition Prediction and Improvement - CORE

Abstract. Grinding is regarded as a good way to do ceramics machining due to its multiple abrasive cutting particles. While a single point tool may dull and require re-sharpening, a grinding wheel distributes wear over many cutters and is capable of replenishing itself.

Get Price

(PDF) Predicting Surface Roughness in Grinding Using Neural ...

The AE signal, generated during the grinding processes, has been verified to be related to the process state and the surface condition of the grinding tool and workpiece [2]. By using this ...

Get Price

Optimization of parameters in cylindrical and surface ...

The optimum conditions of grinding parameters for lower surface roughness for EN8 steel were the grinding wheel speed 1400 r.p.m., table travel speed 10 m min −1, depth of cut 10 µm, grinding wheel A60K5V10 and table cross feed 0.03 m min −1 for surface grinding.

Get Price

Conditioning and monitoring of grinding wheels - ScienceDirect

For both processes, the grinding wheel is the positive electrode and the negative electrode is mounted within a gap to the grinding wheel. 6.1.1. Electrolytic in-process dressing (ELID) Dressing of grinding wheels based on the oxidation of the metal bond was initially developed by Ohmori and Nakagawa,, .

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(PDF) Grinding Wheel Condition Prediction and Improvement

When grinding Al 2 O 3 wheel, the value of g ranges from 60-90% [23] when grinding CBN wheel, this value is about 84%; α-is the thermal diffusivity of the part material, α can be found in [24 ...

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A method for reducing the corner wear in plunge grinding

damage, residual stresses, wheel wear, grinding forces, energy consumption and surface errors (13,17). Studies on the air flow pattern around the grinding wheels and on the coolant delivery mechanism have led to improved methods of coolant supply and reduction in thermal effects (18-22). The benefits of using oil for

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Micromachines | Free Full-Text | A New Grinding Force Model ...

The ability to predict the grinding force for hard and brittle materials is important to optimize and control the grinding process. However, it is a difficult task to establish a comprehensive grinding force model that takes into account the brittle fracture, grinding conditions, and random distribution of the grinding wheel topography. Therefore, this study developed a new grinding force ...

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Conditioning and monitoring of grinding wheels - ScienceDirect

For both processes, the grinding wheel is the positive electrode and the negative electrode is mounted within a gap to the grinding wheel. 6.1.1. Electrolytic in-process dressing (ELID) Dressing of grinding wheels based on the oxidation of the metal bond was initially developed by Ohmori and Nakagawa,, .

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Grinding wheel condition monitoring with boosted minimum ...

Grinding wheel condition monitoring is thus necessary. Traditionally, cutting tool (including grinding wheel) condition is usually monitored by the operator. Studies have been performed to investigate the feasibility of automated tool condition monitoring. Two general approaches have been taken: direct and indirect.

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