Yazar "Giasin, Khaled" seçeneğine göre listele

Listeleniyor 1 - 3 / 3
  • [ X ]
    Öğe
    Experimental investigation on the effect of dry and multi-jet cryogenic cooling on the machinability and hole accuracy of CFRP composites
    (Elsevier, 2022) Agrawal, Chetan; Khanna, Navneet; Pimenov, Danil Yu; Wojciechowski, Szymon; Giasin, Khaled; Sarikaya, Murat; Yildirim, Cagri Vakkas
    In this work, the drilling performance of carbon fibre reinforced plastic (CFRP) composites is analysed in terms of thrust force (F-n), torque (M-z), specific cutting energy (SCE), delamination factor (F-d), and hole quality under dry and cryogenic cooling conditions. An in-house developed multi-jet liquid nitrogen (LN2) delivery setup is used for experimental trials. This LN2 delivery system is retrofitted to an existing machine tool to enable the movement of jets along the axis of the spindle for better reachability of LN2 to the cutting zone during the drilling operation. Experiments are conducted using the full factorial technique considering four levels of spindle rotational speed (N), four levels of feed rate (f(r)), and two cutting conditions i.e., dry and cryogenic cooling. Results show increased F-n up to 35% and decreased M-z up to 24.46% using cryogenic drilling as compared to dry drilling. Moreover, SCE is reduced up to 35% using cryogenic drilling than in dry drilling. Entry F-d is decreased up to 21.55% under cryogenic drilling as compared to dry drilling. At higher N input and lower f(r), the exit F-d can be reduced by up to 9% using cryogenic drilling as compared with dry drilling. In terms of hole quality, cylindricity (CYL) decreased by up to 42.69%, lower deviation in average hole size, and decreased average surface roughness (R-a) up to 20% when using cryogenic drilling. The results show that using the multi-jet cryogenic cooling system provides enhanced composite machinability and sustainability for industrial use. (c) 2022 The Author(s). Published by Elsevier B.V.
  • [ X ]
    Öğe
    Machining-Induced Damage and Corrosion Behavior of Monel-400 Alloy Under Cryogenic Cooling Conditions: A Sustainable Initiative
    (Korean Soc Precision Eng, 2025) Demirbas, Ali; Koklu, Ugur; Morkavuk, Sezer; Giasin, Khaled; Kocaman, Engin; Sarikaya, Murat
    Monel-400 is a nickel-based heat-resistant superalloy (HRSA) that is primarily used in oil and marine applications. Machining Monel-400 alloy for marine applications usually involves drilling and milling operations for assembly purposes, which should meet the requirements to withstand use in salt-water environments (i.e. lower surface finish to reduce corrosion and lack of burrs for tight sealing between mating parts). However, drilling of Monel-400 alloy can be challenging due to its high strength and density, which induces thermal effects that can influence the surface and geometrical integrity of the holes. Consequently, the use of environmentally friendly cooling technologies, such as cryogenics, is an excellent alternative to mitigate these effects, something which has not been widely investigated in the open literature when drilling Monel-400 alloy. Therefore, the current study aims to investigate the machinability of Monel-400 alloy under dry and cryogenic cooling conditions. The effects of cutting parameters and the use of a cryogenic liquid nitrogen bath on the surface integrity and corrosion resistance of holes were evaluated. Additionally, cutting forces, chip formation, and corrosion performance were analyzed. The results showed that the cutting forces increased by up to 8% under cryogenic cooling. Under cryogenic conditions, reduced elastic deformation resulted in a smaller chip size. Both cutting conditions produced a smooth surface finish with a roughness value of less than 0.2 mu m. Corrosion resistance was reduced under cryogenic conditions at spindle speed of 5000 rpm. The current work showcases that cryogenic cooling is recommended for drilling Monel-400 alloy used in marine applications, but care should be taken in employing optimal cutting parameters to mitigate any effects on corrosion resistance.
  • [ X ]
    Öğe
    Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140
    (Mdpi, 2021) Kuntoglu, Mustafa; Acar, Osman; Gupta, Munish Kumar; Saglam, Haci; Sarikaya, Murat; Giasin, Khaled; Pimenov, Danil Yurievich
    The present paper deals with the optimization of the three components of cutting forces and the Material Removal Rate (MRR) in the turning of AISI 5140 steel. The Harmonic Artificial Bee Colony Algorithm (H-ABC), which is an improved nature-inspired method, was compared with the Harmonic Bee Algorithm (HBA) and popular methods such as Taguchi's S/N ratio and the Response Surface Methodology (RSM) in order to achieve the optimum parameters in machining applications. The experiments were performed under dry cutting conditions using three cutting speeds, three feed rates, and two depths of cuts. Quadratic regression equations were identified as the objective function for HBA to represent the relationship between the cutting parameters and responses, i.e., the cutting forces and MRR. According to the results, the RSM (72.1%) and H-ABC (64%) algorithms provide better composite desirability compared to the other techniques, namely Taguchi (43.4%) and HBA (47.2%). While the optimum parameters found by the H-ABC algorithm are better when considering cutting forces, RSM has a higher success rate for MRR. It is worth remarking that H-ABC provides an effective solution in comparison with the frequently used methods, which is promising for the optimization of the parameters in the turning of new-generation materials in the industry. There is a contradictory situation in maximizing the MRR and minimizing the cutting power simultaneously, because the affecting parameters have a reverse effect on these two response parameters. Comparing different types of methods provides a perspective in the selection of the optimum parameter design for industrial applications of the turning processes. This study stands as the first paper representing the comparative optimization approach for cutting forces and MRR.