Experimental Investigation of the Effect of Machining Parameters on the Surface Roughness and the Formation of Built Up Edge (BUE) in the Drilling of Al 5005

Bahçe, Erkan; Özel, Cihan

doi:10.5772/56027

Cited by 6 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Comparing the surface roughness Ra for the two experimental conditions, higher cutting speed improved the surface integrity of the work part because of fewer chances of BUE formation at high speed [47]. Increase in feed rate has also found to worsen the machined surface but higher feed combined with high speed counteracts this negativity.…”

Section: Validation Experimentsmentioning

confidence: 91%

Multi-objective optimization for sustainable turning Ti6Al4V alloy using grey relational analysis (GRA) based on analytic hierarchy process (AHP)

Younas

Jaffery

Khan

et al. 2019

Int J Adv Manuf Technol

View full text Add to dashboard Cite

Sustainable machining necessitates energy efficient processes, longer tool lifespan and greater surface integrity of the products in modern manufacturing. However, when considering Ti-6Al-4V alloy these objectives turn out to be difficult to achieve as titanium alloys pose serious machinability challenges, especially at elevated temperatures. In this research, we investigate the optimal machining parameters required for turning of Ti-6Al-4V alloy. Turning experiments were performed to optimize four response parameters i.e. specific cutting energy (SCE), wear rate (R), surface roughness (R a ) and material removal rate (MRR) with uncoated H13 carbide inserts in the dry cutting environment. Grey relational analysis (GRA) combined with the analytic hierarchy process (AHP) was performed to develop a multi-objective function. Response surface optimization was used to optimize the developed multi-objective function and determine the optimal cutting condition. As per the ANOVA, the interaction of feed rate and cutting speed (f × V) was found to be the most significant factor influencing the grey relational grade (GRG) of the multiobjective function. The optimized machining conditions increased the MRR and tool life by 34 % and 7 %, whereas, reducing the specific cutting energy and surface roughness by 6 % and 2 % respectively. Using Taguchi based GRA by analytic hierarchy process (AHP) weights method, the benefits of high-speed machining Ti6Al4V through multiresponse optimization were achieved.

show abstract

Section: Validation Experimentsmentioning

confidence: 91%

Multi-objective optimization for sustainable turning Ti6Al4V alloy using grey relational analysis (GRA) based on analytic hierarchy process (AHP)

Younas

Jaffery

Khan

et al. 2019

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

“…Generally, all the reported works in the literature deal with the responses of the different tool microgeometries in contact with steel or other alloys [16,17]. Zeilmann et al [18] studied the influence of microgeometry and of cutting-fluid feed on the surface integrity of 1045 steel pieces drilled with hard metal bits (with and without interior cutting-fluid feeding) and concluded that there is a direct and significant relationship between microgeometry and surface integrity of holes' surfaces.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

The effects of microgeometries in carbide twist drill on dry drilling of cast iron

Tusset

Consalter

Durán

2016

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The drilling process is one of the most used methods in producing holes worldwide. An important requirement in the drilling process is the need to generate a hole that satisfies the dimensional and geometrical requirements in just one operation. That leads practitioners to an inner awareness about the geometry of the tool, as well as the strict monitoring of the wear of its cutting edges. However, another relevant factor is the need to reduce process waste. In the case of machining processes, discarding cutting fluids that have arrived at the end of their usefulness presents a relevant management problem. There have been, therefore, increasing efforts towards the possibility of working with minimum amounts of fluid, or even simply the complete elimination of its use. This need to reduce fluid waste can have an adverse effect, however, on both tool life and operations' performances. In cases of drilling, ductile iron-efficient monitoring of wearing patterns can reduce premature tool breakages. This study evaluates effects on tool life and wearing with hard metal twist drill bits used in drilling ductile iron in the absence of refrigerant. This study includes microgeometry and the type of coating used on the tools. Wearing and tool life behaviors are also studied.

show abstract

Optimization of Surface Roughness in Cryogenic CO2 Milling of Inconel 718 Using RSM

Halim

Haron

Ghani

et al. 2021

Lecture Notes in Mechanical Engineering

View full text Add to dashboard Cite

Experimental Investigation of the Effect of Machining Parameters on the Surface Roughness and the Formation of Built Up Edge (BUE) in the Drilling of Al 5005

Cited by 6 publications

References 16 publications

Multi-objective optimization for sustainable turning Ti6Al4V alloy using grey relational analysis (GRA) based on analytic hierarchy process (AHP)

Multi-objective optimization for sustainable turning Ti6Al4V alloy using grey relational analysis (GRA) based on analytic hierarchy process (AHP)

The effects of microgeometries in carbide twist drill on dry drilling of cast iron

Optimization of Surface Roughness in Cryogenic CO2 Milling of Inconel 718 Using RSM

Contact Info

Product

Resources

About