The effect of applying coolant on tool wear in metal machining

Seah, K.H.W.; Li, X.; Lee, K.S.

doi:10.1016/0924-0136(94)01688-w

Cited by 38 publications

(23 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Similar works on machinability of MMC's with large volume fraction of reinforcement particle have shown poor machined surfaces when coated tools were used [3,4,9]. Previous works [6,8] reported that the size of reinforcement particles had much stronger effect on tool lives than that of population of reinforcement particles. Looney et al [3] found coated tools performed best in terms of flank wear but gave the poorest surface finish when machining composites of SiC as reinforcement particles.…”

Section: Effect Of Processing Parameters On Tool Wear and Surfacementioning

confidence: 76%

“…The size of reinforcement particle has great effect on surface quality and strength of the composites as mentioned by Cho and Komvopoulos [5]. Previous work [8] reported that the size of reinforcement particles had much stronger effect on tool lives than that of population of reinforcement particles. Although coated-tool showed better tool wear resistance, the roughness obtained has showed higher values, when coated tools are used.…”

Section: Effect Of Processing Parameters On Tool Wear and Surfacementioning

confidence: 93%

See 1 more Smart Citation

Effect of Some Manfacturing Parameters on Machining of Extruded Al-Al₂O₃ Composites

Fathy

Abdelhameed

Shehata

2012

ISRN Materials Science

View full text Add to dashboard Cite

A wide range of particulate metal matrix composites (PMMCs) of alumina and aluminum powders was formed using powder metallurgy techniques followed by extrusions at various extrusion ratios. The machining characteristics of the extruded PMMC were investigated. Results showed significant effects of weight fractions of reinforcement and extrusion ratios on tool wear and surface integrity of machined surface. The wear rate of cutting tool decreased rapidly with increasing the cutting parameters: cutting speed, feed, and depth of cut, however cutting speed is shown to be more effective. Sudden breakage of tool inserts occurred when the experiment started at high cutting speed. Wear rate has also decreased by decreasing volume fraction of reinforcement particles. Coating carbide tools have significantly improved the tool life. Coated tools showed 5% decrease in flank wear size compared to uncoated tools. This was valid within tested range of weight fractions and extrusion ratios. The surface finish of machined surfaces deteriorated when coated carbide tools were used. However, surface finish did not change significantly when volume fractions or extrusion ratios were altered.

show abstract

Section: Effect Of Processing Parameters On Tool Wear and Surfacementioning

confidence: 76%

Section: Effect Of Processing Parameters On Tool Wear and Surfacementioning

confidence: 93%

Effect of Some Manfacturing Parameters on Machining of Extruded Al-Al₂O₃ Composites

Fathy

Abdelhameed

Shehata

2012

ISRN Materials Science

View full text Add to dashboard Cite

show abstract

“…When cutting force is the measured variable for TCM, it is often acquired by means of dynamometers (Bahre et al 1992;Seah et al 1995;Audy 2006). Others have used accelerometers to measure tool vibration (Bonifacio and Diniz 1994;Abouletta and MAEdl 2001 ) whereas methods based on strain gauges are used for measuring either cutting forces as in Scheffer et al (2003) or vibrations as in Li and Ulsoy (1999).…”

Section: Introductionmentioning

confidence: 99%

Comparing orthogonal force and unidirectional strain component processing for tool condition monitoring

2012

View full text Add to dashboard Cite

Signal processing using orthogonal cutting force components for tool condition monitoring has established itself in literature. In the application of single axis strain sen sors however a linear combination of cutting force compo nents has to be processed in order to monitor tool wear. This situation may arise when a single axis piezoelectric actuator is simultaneously used as an actuator and a sensor, e.g. its vibration control feedback signal exploited for monitoring purposes. The current paper therefore compares processing of a linear combination of cutting force components to the reference case of processing orthogonal components. Recon struction of the dynamic force acting at the tool tip from signals obtained during measurements using a strain gauge instrumented tool holder in a turning process is described. An application of this dynamic force signal was simulated on a ltermodel of that tool holder that would carry a selfsensing actuator. For comparison of the orthogonal and unidirectional force component tool wear monitoring strategies the same timedelay neural network structure has been applied. Wear sensitive features are determined by wavelet packet analysis to provide information for tool wear estimation. The proba bility of a difference less than 5 percentage points between the ank wear estimation errors of above mentioned two process ing strategies is at least 95 %. This suggests the viability of simultaneous monitoring and control by using a selfsensing actuator.

show abstract

“…The most efficient way to increase productivity, among other things, is the use of special methods of cooling and lubricating [9][10][11][12][13][14]. So in this paper the artificial intelligence methodology is applied to analyze the effect of three methods of cooling and lubricating: conventional (flooded), high pressure jet assisted machining (HPJAM), and minimal quantity lubrication technique (MQL) on machining parameters and formulate, model for prediction of cutting forces.…”

Section: Introductionmentioning

confidence: 99%

Modeling of the Cutting Forces in Turning Process Using Various Methods of Cooling and Lubricating: An Artificial Intelligence Approach

Cica

Sredanović

Lakic-Globocki

et al. 2013

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Cutting forces are one of the inherent phenomena and a very significant indicator of the metal cutting process. The work presented in this paper is an investigation of the prediction of these parameters in turning using soft computing techniques. During the experimental research focus is placed on the application of various methods of cooling and lubricating of the cutting zone. On this occasion were used the conventional method of cooling and lubricating, high pressure jet assisted machining, and minimal quantity lubrication technique. The data obtained by experiment are used to create two different models, namely, artificial neural network and adaptive networks based fuzzy inference systems for prediction of cutting forces. Furthermore, both models are compared with the experimental data and results are indicated.

show abstract

The effect of applying coolant on tool wear in metal machining

Cited by 38 publications

References 2 publications

Effect of Some Manfacturing Parameters on Machining of Extruded Al-Al₂O₃ Composites

Effect of Some Manfacturing Parameters on Machining of Extruded Al-Al₂O₃ Composites

Comparing orthogonal force and unidirectional strain component processing for tool condition monitoring

Modeling of the Cutting Forces in Turning Process Using Various Methods of Cooling and Lubricating: An Artificial Intelligence Approach

Contact Info

Product

Resources

About

The effect of applying coolant on tool wear in metal machining

Cited by 38 publications

References 2 publications

Effect of Some Manfacturing Parameters on Machining of Extruded Al-Al2O3 Composites

Effect of Some Manfacturing Parameters on Machining of Extruded Al-Al2O3 Composites

Comparing orthogonal force and unidirectional strain component processing for tool condition monitoring

Modeling of the Cutting Forces in Turning Process Using Various Methods of Cooling and Lubricating: An Artificial Intelligence Approach

Contact Info

Product

Resources

About

Effect of Some Manfacturing Parameters on Machining of Extruded Al-Al₂O₃ Composites

Effect of Some Manfacturing Parameters on Machining of Extruded Al-Al₂O₃ Composites