Experimental Investigations for Characterization and Analysis of Rake Face of the WC-Co Inserts Using Taguchi Method

Prasad, Chitrarth; Ramana, S.V.; Srikiran, S.; Ramji, K.

doi:10.1115/imece2010-37306

Cited by 3 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Digital image showing chipping of nose under one of the medium machining conditions (M(12,23)—speed: 180 m/min, feed: 0.045 mm/rev and depth of cut: 1.5 mm). 19 …”

Section: Experimental Methodologymentioning

confidence: 99%

“…(a) Consolidated chip flow path and (b) cutting tool template showing location of hard and soft coatings. 19 …”

Section: Experimental Methodologymentioning

confidence: 99%

“…18 Crater wear on the rake face of the tool is often measured by a profile meter as the maximum depth of the crater formed on the rake face. The characterization and quantification of wear zones on the rake face of tungsten carbide (WC) cutting tools under all the dry machining conditions in machining of 1040 steel are well explicated in Prasad et al 19 The most common fuzzy inference system (FIS) types are Mamdani-type and Sugeno-type. Mamdani-type was used to defuzzify the resulting fuzzy set to yield the output of the system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Characterization of wear and prediction of wear zone locations on the rake face using Mamdani fuzzy inference system

Pavani¹,

Prasad²,

Ramji

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

In order to improve the performance of the cutting tool, third-generation tools with multi-layered nanocoatings on the rake face are used. During machining, the chip-tool interactions depict that although the tool wear on the rake face is located in the close proximity of the cutting edge, that is, within 800 mm, all the commercially available cutting tools have the coatings on the entire rake face. Taking into account the tribological properties required by the rake face close to the cutting edge, that is, high wear resistance and low friction, this study makes an attempt to identify, characterize and locate the actual wear zones/regions in terms of hard and soft zones in the chip contact area of tungsten carbide (WC) inserts close to the cutting edge in turning. Mamdani fuzzy inference system model was developed, trained with the sample experimental data and tested with the test data. The simulated results showed that the average error values of edge chipping (in X-and Y-directions), nose damage and crater wear (in X-and Y-directions) are about 2.37%, 3.01%, 2.86%, 2.66% and 1.89%, respectively. The fuzzy model developed in this study showed remarkable prediction of the wear zone locations and is also helpful for the researchers to decide the type of coating (hard and soft) along the specified zones for reducing the cost of production.

show abstract

“…Digital image showing chipping of nose under one of the medium machining conditions (M(12,23)—speed: 180 m/min, feed: 0.045 mm/rev and depth of cut: 1.5 mm). 19 …”

Section: Experimental Methodologymentioning

confidence: 99%

“…(a) Consolidated chip flow path and (b) cutting tool template showing location of hard and soft coatings. 19 …”

Section: Experimental Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Characterization of wear and prediction of wear zone locations on the rake face using Mamdani fuzzy inference system

Pavani¹,

Prasad²,

Ramji

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part B:

View full text Add to dashboard Cite

show abstract

“…2. (Prasad et al,2010) identified chip flow path by conducting various machining conditions on plain Tungsten carbide inserts. It was suggested to plan for alternate hard and soft nanocoatings as per the identified zones.…”

Section: Grooves Design On Wc Cutting Toolsmentioning

confidence: 99%

Design and Fabrication of Micro Grooves on the Rake Face of Tungsten Carbide Cutting Tools with an Array of Nanofilms

Pavani¹,

Prasad²,

Ramji

et al. 2014

Procedia Materials Science

Self Cite

View full text Add to dashboard Cite

The wear rate of a cutting tool mainly affects its life. So it is important for tool manufacturers to think about different techniques to reduce tool wear rate, which in turn helps to increase its life span. This paper proposes an efficient design of an array of micro grooves useful for the deposition of alternate hard and soft nanocoatings which will help to characterize and analyze wear zones of WC inserts. The proposed design of the grooves on tool inserts helps to deposit various nanocoatings which act as a lubricating medium and helps the tool to reduce friction and wear. Grooves were designed based on the chip flow path. Electro discharge machining (EDM) was used for the formation of grooves on the rake face of WC inserts. The authors made an attempt to design efficient and generalized groove pattern to deposit hard and soft alternative nanocoatings on the rake face of the cutting tool. Authors are also suggested that the method proposed in this paper can concentrate on the identified zones instead of depositing the nanocoatings over the entire rake face. This in turn reduces the wastage of Nanomaterial deposited on the tool and also makes optimum rake face utilization. PVD technique is used to deposit alternate soft and hard nanocoatings in the grooves.

show abstract

Experimental Investigations for the Prediction of Wear Zones on the Rake Face of Tungsten Carbide Inserts Under dry Machining Conditions

Prasad¹,

Ramana²,

Pavani³

et al. 2013

Procedia CIRP

View full text Add to dashboard Cite

Experimental Investigations for Characterization and Analysis of Rake Face of the WC-Co Inserts Using Taguchi Method

Cited by 3 publications

References 0 publications

Characterization of wear and prediction of wear zone locations on the rake face using Mamdani fuzzy inference system

Characterization of wear and prediction of wear zone locations on the rake face using Mamdani fuzzy inference system

Design and Fabrication of Micro Grooves on the Rake Face of Tungsten Carbide Cutting Tools with an Array of Nanofilms

Experimental Investigations for the Prediction of Wear Zones on the Rake Face of Tungsten Carbide Inserts Under dry Machining Conditions

Contact Info

Product

Resources

About