Optimization of cutting conditions for sustainable machining of PEEK-CF30 using TiN tools

Hanafi, Imam; Khamlichi, Abdellatif; Cabrera, Francisco Mata; Almansa, Emiliano; Jabbouri, Abdallah

doi:10.1016/j.jclepro.2012.05.005

Cited by 166 publications

(73 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…It can be calculated by the product of machining time and power consumption in unit time, as modeled by [7] in equation (2). (2) where P 0 is the power [W] consumed by all machine modules for a machine operating at zero load (machine is not cutting), k is specific cutting energy [Ws/mm 3 ], and ̇is material removal rate [mm 3 /s].…”

Section: F X F Fmentioning

confidence: 99%

“…It was reported that significant effect of cutting speed on the surface roughness and power demand, while the other parameters did not substantially affect the responses. The report by Hanafi et al [2] outlines the effect of cutting parameters on power demand when turning poly ether ether keytone reinforced with 30% of carbon fibers using TiN coated tools under dry conditions. The obtained results have indicated that cutting speed and depth of cut are the most influential parameters.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Calculating the Power Demand in Turning of AISI 316L Stainless Steel Through the Cutting Forces Data

Nur¹

2016

Intek

View full text Add to dashboard Cite

Abstract-Austenitic stainless steel AISI 316L has been widely used for orthopedic implants due to its mechanical properties, corrosion resistance and biocompatibility. Machining of austenitic stainless steel are often regarded as 'difficult to machine' and classed a single group of steels, based on experience with the most common austenitic types. This paper presents a methodology for practical calculation of power demand based on cutting force that will be compared with experimental results especially turning process. Based on a previously proposed definition, the power demand in metal cutting is the energy required cutting. This paper provides a complete list of mathematical expressions needed for the calculation of power demand and demonstrates their utility for turning operation of austenitic stainless steel using coated and uncoated carbide.

show abstract

Section: F X F Fmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Calculating the Power Demand in Turning of AISI 316L Stainless Steel Through the Cutting Forces Data

Nur¹

2016

Intek

View full text Add to dashboard Cite

show abstract

“…As the development of alternative manufacturing process technologies to replace machining is still a prohibitive task, preventing the negative environmental impact of machining can be achieved essentially by operating modifications to existing processes [1]. With increasing global eco-awareness, the application of sustainability indices in manufacturing units, and strict regulations due to the detrimental effects of cutting fluids on the environment and human exposure, the manufacturing world is in continuous pursuit of viable methods of economic dry machining.…”

Section: Introductionmentioning

confidence: 99%

Parametric optimization of end milling process under minimum quantity lubrication with nanofluid as cutting medium using pareto optimality approach

Najiha¹,

Rahman²,

Kadirgama³

2022

Int. J. Automot. Mech. Eng.

View full text Add to dashboard Cite

In this paper a genetic algorithm based multi-objective optimization approach is applied in order to predict the optimal machining parameters for the end milling process of aluminium alloy 6061 T6 combined with minimum quantity lubrication (MQL) conditions using waterbased TiO2 nanofluid as cutting fluid. The optimization is carried out employing a parametric model (in terms of input cutting parameters, i.e., cutting speed, feed rate, depth of cut, MQL flow rate and % volume concentration of nanofluid) and exploiting the capabilities of the MOGA-II algorithm applied to the constrained machining problem. The objective functions selected to optimize are: to minimize the surface roughness; to maximize the material removal rate; and to minimize the flank wear of the cutting tool. The output of the optimization includes several alternative optimal solutions, i.e., Pareto frontier, and the best compromised configuration of the cutting parameters is selected subject to weighted preference.

show abstract

“…Balasubramanian and Ganapathy (2011) solved the problem of simultaneous optimization for wire electro discharge machining (WEDM) to obtain higher material removal rate (MRR) and lower surface roughness (SR) by the use of grey relational analysis. Hanafi et al (2012) applied the method of grey relational analysis based on the Taguchi method for multiobjective optimization of power consumption and surface roughness when dry turning of the PEEK reinforced with 30% carbon fibers. The same technique was proposed in other several cutting process, for example: in the drilling process Noorul Haq et al (2008) identified optimal drilling parameters namely: cutting speed, feed rate and point angle for multiple response characteristics such as surface roughness, cutting force and torque in the case of machining couple: Al/SiC metal matrix composite/TiN coated HSS twist drills under dry condition.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous improvement of surface quality and productivity using grey relational analysis based Taguchi design for turning couple (AISI D3 steel/ mixed ceramic tool (Al2O3 + TiC))

Zerti¹,

Yallese²,

Zerti³

et al. 2018

10.5267/j.ijiec

View full text Add to dashboard Cite

Current optimization strategies are based on the increase the productivity and the quality with lower cost in short time. Grey relational analysis "GRA" based on Taguchi design was proposed in this paper for simultaneous improvement of surface quality and productivity. The turning trials based on mixed Taguchi L18 factorial plan were conducted under dry cutting conditions for the machining couple: AISI D3 steel/mixed ceramic inserts (CC650). The machining parameters taken into account during this study are as follow: major cutting edge angle (χr), cutting insert nose radius (r), cutting speed (Vc), feed rate (f), and depth of cut (ap). Significant effects of machining parameters and their interactions were evaluated by the analysis of variance. Through this analysis, it have been found clearly that feed rate and cutting insert nose radius had a big significant effects on surface quality while depth of cut, feed rate followed by cutting speed had a major effect on productivity. The mathematical relationship between the machining parameters and the performance characteristics was formulated by using a linear regression model with interactions. Optimal levels of parametric combination for achieving the higher surface quality with maximum productivity were selected by grey relational analysis which is based on the high value of grey relational grade. Confirmation experiments were carried out to prove the powerful improvement of experimental results and to validate the effectiveness of the multi-optimization technique applied in this paper.

show abstract

Optimization of cutting conditions for sustainable machining of PEEK-CF30 using TiN tools

Cited by 166 publications

References 20 publications

Calculating the Power Demand in Turning of AISI 316L Stainless Steel Through the Cutting Forces Data

Calculating the Power Demand in Turning of AISI 316L Stainless Steel Through the Cutting Forces Data

Parametric optimization of end milling process under minimum quantity lubrication with nanofluid as cutting medium using pareto optimality approach

Simultaneous improvement of surface quality and productivity using grey relational analysis based Taguchi design for turning couple (AISI D3 steel/ mixed ceramic tool (Al2O3 + TiC))

Contact Info

Product

Resources

About