Yazar "Gupta, Munish Kumar" seçeneğine göre listele
Listeleniyor 1 - 20 / 37
Sayfa Başına Sonuç
Sıralama seçenekleri
Öğe A review on conventional and advanced minimum quantity lubrication approaches on performance measures of grinding process(Springer London Ltd, 2021) Gupta, Munish Kumar; Khan, Aqib Mashood; Song, Qinghua; Liu, Zhanqiang; Khalid, Qazi Salman; Jamil, Muhammad; Kuntoglu, MustafaGrinding is one of the important machining processes that are widely applied in precision manufacturing. In the beginning, studies mostly focused on dry machining. In time, emerging technologies have led to change in the development of the machining process. New techniques and tools have been developed over the last decade that has brought the process to an advanced place. At first, flood cooling has removed the burning problems in the grinding process. After that, a new technique was developed which is known as minimum quantity lubrication (MQL). This technique is a recognized opportunity to eliminate environmental concerns. This paper reviews some of the common as well as advanced MQL systems specifically used in grinding operations. The effect of MQL and other cutting parameters on cutting forces, surface roughness of the machined workpiece, tool wear, temperature, specific cutting energy, and residual stress is outlined. This paper also addressees the recent trend of cooling systems in the grinding process. After reading this research paper, one can easily get an overview of the previously conducted research to find the output parameter trends in MQL condition. The reader can infer from this paper in which direction the development trend in grinding is in the machining process.Öğe A state-of-the-art review on sensors and signal processing systems in mechanical machining processes(Springer London Ltd, 2021) Kuntoglu, Mustafa; Salur, Emin; Gupta, Munish Kumar; Sarikaya, Murat; Pimenov, Danil YuSensors are the main equipment of the data-based enterprises for diagnosis of the health of system. Offering time- or frequency-dependent systemic information provides prognosis with the help of early-warning system using intelligent signal processing systems. Therefore, a chain of data-based information improves the efficiency especially focusing on the determination of remaining useful life of a machine or tool. A broad utilization of sensors in machining processes and artificial intelligence-supported data analysis and signal processing systems are prominent technological tools in the way of Industry 4.0. Therefore, this paper outlines the state of the art of the mentioned systems encountered in the open literature. As a result, existing studies using sensor systems including signal processing facilities in machining processes provide important contribution for error minimization and productivity maximization. However, there is a need for improved adaptive control systems for faster convergence and physical intervention in case of possible problems and failures. On the other hand, sensor fusion is an innovative new technology that makes decisions using multi-sensor information to determine tool status and predict system stability. It is currently not a fully accepted and practiced method. In a nutshell, despite their numerous advantages in terms of efficiency, time saving, and cost, the current situation of sensors used in the industry is not a sufficient level due to the investment cost and its increase with additional signal acquisition hardware and software equipment. Therefore, more studies that can contribute to the literature are needed.Öğe A state-of-the-art review on tool wear and surface integrity characteristics in machining of superalloys(Elsevier, 2021) Sarikaya, Murat; Gupta, Munish Kumar; Tomaz, Italo; Pimenov, Danil Yu; Kuntoglu, Mustafa; Khanna, Navneet; Yildirim, Cagri VakkasToday, superalloys (also known as hard-to-cut materials) such as nickel, titanium and cobalt based cover a wide range of areas in engineering applications. At the same time, challenging material properties namely high strength and low thermal conductivity cause low quality in terms of cutting tool life and surface integrity of the machined part. It is important to improve the machinability of this type of materials by applying various methods in the perspective of sustainability. Therefore, current study presents surface integrity, tool wear characteristics and initiatives to improve them during the machining of superalloys. In this manner, it is outlined the surface integrity characteristics containing surface defects, surface roughness, microstructure alterations and mechanical properties. Also, tool wear mechanisms for example abrasive, adhesive, oxidation, diffusion and plastic deformation are investigated in the light of literature review. Finally, possible improvement options for tool wear and surface integrity depend on machining parameters, tool modifications, cooling methods and trade-off strategies are highlighted. The paper can be a guide for the researchers and manufacturers in the area of sustainable machining of hard-to-cut materials as explaining the latest trends and requirements. (C) 2021 CIRP.Öğe Analytical Modeling Methods in Machining: A State of the Art on Application, Recent Challenges, and Future Trends(Springer Heidelberg, 2024) Korkmaz, Mehmet Erdi; Gupta, Munish Kumar; Sarikaya, Murat; Gunay, Mustafa; Boy, Mehmet; Yasar, Nafiz; Demirsoz, RecepInformation technology applications are crucial to the proper utilization of manufacturing equipment in the new industrial age, i.e., Industry 4.0. There are certain fundamental conditions that users must meet to adapt the manufacturing processes to Industry 4.0. For this, as in the past, there is a major need for modeling and simulation tools in this industrial age. In the creation of industry-driven predictive models for machining processes, substantial progress has recently been made. This paper includes a comprehensive review of predictive performance models for machining (particularly analytical models), as well as a list of existing models' strengths and drawbacks. It contains a review of available modeling tools, as well as their usability and/or limits in the monitoring of industrial machining operations. The goal of process models is to forecast principal variables such as stress, strain, force, and temperature. These factors, however, should be connected to performance outcomes, i.e., product quality and manufacturing efficiency, to be valuable to the industry (dimensional accuracy, surface quality, surface integrity, tool life, energy consumption, etc.). Industry adoption of cutting models depends on a model's ability to make this connection and predict the performance of process outputs. Therefore, this review article organizes and summarizes a variety of critical research themes connected to well-established analytical models for machining processes.Öğe Comparison of Tool Wear, Surface Morphology, Specific Cutting Energy and Cutting Temperature in Machining of Titanium Alloys Under Hybrid and Green Cooling Strategies(Korean Soc Precision Eng, 2023) Gupta, Munish Kumar; Nieslony, P.; Korkmaz, Mehmet Erdi; Kuntoglu, Mustafa; Krolczyk, G. M.; Guenay, Mustafa; Sarikaya, MuratCutting energy must be reduced in order to make machining processes more eco-friendly. More energy was expended for the same amount of material removed, hence a higher specific cutting energy (SCE) implies inefficient material removal. Usually, the type of coolants or lubricants affects the SCE, or the amount of energy needed to cut a given volume of material. Therefore, the present work deals with a study of SCE in the turning of Ti-3Al-2.5V alloy under green cooling strategies. In spite of this, the research effort is also focused on the mechanism of tool wear, surface roughness, and cutting temperature under hybrid cooling, i.e., minimum quantity lubrication (MQL) and cryogenic. The tool wear rate, were explored with tool mapping analysis, and the results were compared with dry, MQL, and liquid nitrogen (LN2) conditions. The tool wear rate analysis claims that the dry condition causes more built up edge (BUE) formation. In addition, the hybrid cooling conditions are helpful in reducing the SCE while machining titanium alloys.Öğe Cooling techniques to improve the machinability and sustainability of light-weight alloys: A state-of-the-art review(Elsevier Sci Ltd, 2021) Sarikaya, Murat; Gupta, Munish Kumar; Tomaz, Italo; Danish, Mohd; Mia, Mozammel; Rubaiee, Saeed; Jamil, MohdA well-acknowledged role of cutting fluids in any cutting operation has made them inevitable to utilize regarding the provision of adequate cooling and lubrication. Mineral-based cutting fluids are common practice in the industry; however, they are not suitable for our ecology and health. Therefore, there is a need to implement sustainable cooling/lubrication system that helps the environment and improves the machinability of light weight alloys. This review is presenting the machining and sustainability characteristics of minimum quantity lubrication (MQL), nanofluids-MQL, Ranque-Hilsch vortex tube MQL (RHVT + MQL), cryogenic-MQL as alternative to flood cooling applications in the cutting of light-weight materials. It can be stated that MQL advancements can offer clear guidelines to implement hybrid cooling techniques to improve heat transfer, lubrication, and sustainable implementations.Öğe Correction to: Parametric optimization and process capability analysis for machining of nickel-based superalloy(Springer London Ltd, 2023) Gupta, Munish Kumar; Mia, Mozammel; Pruncu, Catalin I.; Kaplonek, Wojciech; Nadolny, Krzysztof; Patra, Karali; Mikolajczyk, Tadeusz[No abstract available]Öğe Cutting forces and temperature measurements in cryogenic assisted turning of AA2024-T351 alloy: An experimentally validated simulation approach(Elsevier Sci Ltd, 2022) Gupta, Munish Kumar; Korkmaz, Mehmet Erdi; Sarikaya, Murat; Krolczyk, Grzegorz M.; Gunay, Mustafa; Wojciechowski, SzymonAluminium alloys are widely used in modern engineering applications such as automobile, aerospace etc because of its characteristics. The machining of aluminium alloys are also considered as difficult because of its sticky and soft nature, low thermal conductivity, strain hardening effect etc. The cooling conditions employed at cutting zone improved the machining performance but the resources, material consumption, skilled labor etc. are also required for performing the machining experiments. Therefore, the simulation of process parameters with the help of Finite Element Modelling (FEM) during machining is highly researched topic these days. In this work, a new practice from measurement science i.e., FEM simulation was performed with AdvantEdge software and the prediction models were developed for evaluating the cutting forces and cutting temperature while machining AA2024-T351 alloy under dry, liquid nitrogen (LN2) and carbon dioxide (CO2) conditions. Initially, the 3D turning model was developed and the results were compared with experimental findings. The results obtained from simulation model are very close with experimental results with minimum standard value of 0.67 (5.7%) for cutting forces and 4.58 (6.16%) for cutting temperature. Thus, it is worthy to mention that the 3D FE model is efficient and effective to predict and measurement results with minimum error.Öğe Ecological, economical and technological perspectives based sustainability assessment in hybrid-cooling assisted machining of Ti-6Al-4 V alloy(Elsevier, 2020) Gupta, Munish Kumar; Song, Qinghua; Liu, Zhanqiang; Sarikaya, Murat; Jamil, Muhammad; Mia, Mozammel; Kushvaha, VinodTi-6Al-4 V alloy is a well-acknowledged standard material for the application of modern aerospace, surgical equipment, and prosthetic body parts owing to its stable thermo-physical properties at elevated temperature. However, this structure stability imparts its low thermal conductivity that leads to buildup of heat at toolworkpiece interface during machining which subsequently has a damaging effect on the tool cutting edge. Several biodegradable cutting fluids have already been attempted controlling the heat generation, environmental footprints to improve the overall machinability. In this endeavor, the effectiveness of dry, liquid nitrogen (LN2) and hybrid cryogenic and minimum quantity lubrication (LN2 + MQL) conditions was evaluated in terms of important machinability indicators for instance surface roughness, cutting forces and temperature. The environmental parameters such as total cycle time, productivity, economic analysis, energy consumption and carbon emissions were also analyzed under these cooling conditions. Lastly, the sustainability assessment of process parameters was calculated with the help of the Analytic Hierarchy Process (AHP) coupled with the Technique for Order Preference Based on Similarity to Ideal Solution (TOPSIS) techniques. Findings have exhibited superior cooling/lubrication effect under LN2 + MQL conditions lowering the machining as well as environmental indices. The improvement in cycle time and productivity of LN2 and LN2 + MQL was appeared to be 29.01% and 34.21% as compared with dry turning. The sustainability assessment results also revealed that the lower cutting parameters under LN2 + MQL produced best results to achieve the overall sustainability index. (C) 2020 Elsevier B.V. All rights reserved.Öğe Effectiveness improvement in manufacturing industry; trilogy study and open innovation dynamics(Multidisciplinary Digital Publishing Institute (MDPI), 2021) Tayal, Ashwani; Kalsi, Nirmal Singh; Gupta, Munish Kumar; Pimenov, Danil Yurievich; Sarikaya, Murat; Pruncu, Catalin I.The purpose of this investigation is to compute overall equipment effectiveness (OEE) in the small-scale industry. The novel approach is introduced to detect bottlenecks by which OEE can be improved. This study attempts to help small-medium enterprises in analyzing performance in a better way. The automotive industry was chosen for conducting the research. The present study is comprised of three phases. In the first phase, OEE was computed and compared with world-class manufacturing. The second phase included three-level of Pareto analysis followed by making fishbone diagram to mitigate the losses. The third phase conducted improved OEE in the industry. There are seven major losses present in the industry that adversely affect the effectiveness of machine in any industry. This approach can reduce these losses and improve the quality, asset utilization (AU), OEE, total effective equipment performance (TEEP) and productivity of the machine. The study exposes that Pareto analysis uncovers all the losses and works on the principle of 80/20 rule. The major losses were thoroughly explored with the help of the fishbone diagram and solutions were implemented at the shop floor. As a result, availability, performance, quality, OEE, AU, and TEPP show improvements by 4.6%, 8.06%, 6.66%, 16.23%, 4.16%, and 14.58%, respectively. The approach offers a good opportunity for both researchers and small-medium enterprises around the world to analyze the indicators of production losses, performance, and productivity in the manufacturing industry. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.Öğe Environment and economic burden of sustainable cooling/lubrication methods in machining of Inconel-800(Elsevier Sci Ltd, 2021) Gupta, Munish Kumar; Song, Qinghua; Liu, Zhanqiang; Sarikaya, Murat; Jamil, Muhammad; Mia, Mozammel; Singla, Anil KumarThe present work deals with the machining application of one of the aerospace material i.e., Inconel-800 alloy by considering the social, economic and environmental effects. The turning tests were done under four sustainable machining conditions i.e., dry, vegetable oil with minimum quantity lubrication (MQL) system, graphene nanofluid plus vegetable oil with MQL (NMQL) system and liquid nitrogen (N-2) cooling. Then, the energy consumption, carbon emissions, cost per part, average surface roughness and cutting tool wear have been measured for varied cutting speed and feed rate under selected sustainable environments. The outcomes of this study revealed that the N-2 cooling conditions reduced the total machining cost up to 9.3%, total energy consumption up to11.3%, carbon emissions up to 49.17% and tool wear up to 46.6% as compared to other cooling conditions. Significant improvement in surface roughness and tool wear have also been noticed from the outcomes of N-2 cooling conditions. Hence, it is worthy to mention that these cooling conditions promote sustainability in the aerospace sector by saving resources and extending environmental benefits. (C) 2020 Elsevier Ltd. All rights reserved.Öğe Environmental, technological and economical aspects of cryogenic assisted hard machining operation of inconel 718: A step towards green manufacturing(Elsevier Sci Ltd, 2022) Danish, Mohd; Gupta, Munish Kumar; Rubaiee, Saeed; Ahmed, Anas; Sarikaya, Murat; Krolczyk, Grzegorz M.It is critical in today's modern manufacturing era to have a machining system that is both environmentally and economically beneficial. It is therefore necessary in many ways to illustrate a relationship between technological, economic and sustainability measures in the machining of Inconel 718. In present investigation, the experimental studies are incorporated by the use of the dry and MQL (minimum quantity lubrication) environments, as well as cryogenic-LN2 and cryogenic-CO2 environments. In terms of technological, sustainability, and economic metrics, the results show that cryogenic-LN2 performed better, followed by cryogenic-CO2, MQL, and dry conditions. As turning Inconel 718, LN2 assisted machining reduce total machining costs and energy usage considerably when compared to dry, MQL, cryogenic-CO2 environments. In addition, the LN2 cooling environment has been shown to significantly reduce machining outputs such as cutting force, tool wear, and surface roughness. LN2 conditions was found to be most promising as it has decreased the cutting force by 32.1%, tool flank wear by 33.33% and total energy consumption by 18% compared to dry machining conditions. It's worth noting that modern lubricooling technologies help the aerospace sector be more sustainable by decreasing resource consumption, enhancing environmental advantages, and improving machining features.Öğe Evaluation of machinability-based sustainability indicators in the eco-benign turning of Ti3Al2.5V alloy with textured tools(Springer London Ltd, 2021) Singh, Rupinder; Gupta, Munish Kumar; Sarikaya, Murat; Mia, Mozammel; Garcia-Collado, A.The recent step towards Sustainable Manufacturing (SM) and efforts to reduce the consumption of cutting fluids have become the hot topic of research these days. Various efforts and strategies have been employed in the modern manufacturing sector to control the environmental pollutions generated from the application of cutting fluids. Therefore, in this holistic work, one such effort of reducing the consumption of cutting fluid is employed with the application of minimum quantity lubrication (MQL) and tool texturing. The turning trials were made on titanium alloy:Ti3Al2.5V alloy under dry and MQL conditions using textured and non-textured tools. The tool life, average surface roughness, specific cutting energy, air quality, and chip morphology were studied with the aid of the above-subjected conditions. In the end, the socio-economic aspects of all cooling conditions were studied and analyzed in the context of sustainable manufacturing. The outcomes of this study reveal that the combination of textured tools and minimum quantity lubrication considerably enhance the machining and sustainability performance as contended with other conditions. However, the air quality factor, i.e., PM2.5 particle generation, was less in the case of a textured tool with MQL conditions. Overall, it is worthy to mention that the combination of tool texturing and MQL cooling conditions has been considered as one of the potential combinations in the area of green machining.Öğe Experimental characterisation of the performance of hybrid cryo-lubrication assisted turning of Ti-6Al-4V alloy(Elsevier Sci Ltd, 2021) Gupta, Munish Kumar; Song, Qinghua; Liu, Zhanqiang; Sarikaya, Murat; Jamil, Muhammad; Mia, Mozammel; Khanna, NavneetIn this work, sustainable hybrid cryogenic MQL cooling/lubrication techniques viz. Banque- Hilsch Vortex tube plus MQL (RHVT + MQL), liquid nitrogen plus minimum quantity lubrication (N2+MQL), and liquid nitrogen (N2) are presented for turning Ti-6Al-4V utilizing CVD coated carbide insert. The tool wear, surface roughness, micro-hardness, specific cutting energy, and chip morphology are considered under sustainable cooling conditions and compared with the dry condition. The outcome revealed that the N2+MQL reduced the tons of annual coolant consumption attaining smooth surface quality, minimum built-up-edges of chips, and tool wear. Besides, minimum specific cutting energy and surface hardness achieved under N2+MQL among all cooling conditions. This endeavor is peculiar integrating sustainability and machining perspective under advanced cooling techniques for industrial application of Ti-6Al-4V.Öğe Heat Transfer Efficiency of Cryogenic-LN2 and CO2-snow and their application in the Turning of Ti-6AL-4V(Pergamon-Elsevier Science Ltd, 2021) Jamil, Muhammad; He, Ning; Zhao, Wei; Li, Liang; Gupta, Munish Kumar; Sarikaya, Murat; Khan, Aqib MashoodOwing to poor thermal conductivity, and high chemical reactivity of Ti-6Al-4V alloy at elevated temperatures, a lubri-cooling having superior heat transfer is benefic to apply to dissipate cutting heat and to improve the machinability. As conventional coolants are ineffective to prevent thermal damage and tool wear. Therefore, recent advanced cryogenic coolants such as cryogenic-liquid nitrogen (LN2) and carbon dioxide (CO2-snow) are hypothesized to mitigate the set objectives. In this experimental study, a static workpiece plate was sprayed to compare their heat transfer coefficients. Furthermore, the machining performance of cryogenic coolants was evaluated in the turning of Ti-6Al-4V in terms of tool wear, cutting force, surface roughness, and chip curl diameter. For this, experiments are conducted at a constant cutting speed of 120 m/min, a feed rate of 0.1 mm/rev, the coolant injection flow rate of 350, 450g/min, and a depth of cut of 2.5 mm to clarify their effect on the process. The outcome analysis of this work showed the overall less tool wear, cutting forces, surface roughness, with maximum chip curl diameter under CO2-snow cooling followed by cryogenic-LN2 and dry condition. In summary, CO2-snow showed promising outcomes and a superior heat transfer effect warrant its implementation in the aerospace industry. (C) 2020 Elsevier Ltd. All rights reserved.Öğe Hybrid cooling-lubrication strategies to improve surface topography and tool wear in sustainable turning of Al 7075-T6 alloy(Springer London Ltd, 2019) Gupta, Munish Kumar; Mia, Mozammel; Singh, GurRaj; Pimenov, Danil Yu; Sarikaya, Murat; Sharma, Vishal S.In machining of soft alloys, the sticky nature of localized material instigated by tool-work interaction exacerbates the tribological attitude and ultimately demeans it machinability. Moreover, the endured severe plastic deformation and originated thermal state alter the metallurgical structure of machined surface and chips. Also, the used tool edges are worn/damaged. Implementation of cooling-lubrication (C/L) agents to reduce friction at faying surfaces can ameliorate overall machinability. That is why, this paper deliberately discussed the influence of pure C/L methods, i.e., such as dry cutting (DC) and nitrogen cooling (N-2), as well as hybrid C/L strategies, i.e., nitrogen minimum quantity lubrication (N(2)MQL) and Ranque-Hilsch vortex tube (RHVT) N(2)MQL conditions in turning of Al 7075-T6 alloy, respectively. With respect to the variation of cutting speed and feed rate, at different C/Ls, the surface roughness, tool wear, and chips are studied by using SEM and 3D topographic analysis. The mechanism of heat transfer by the cooling methods has been discussed too. Furthermore, the new chip management model (CMM) was developed under all C/L conditions by considering the waste management aspects. It was found that the R-N(2)MQL has the potential to reduce the surface roughness up to 77% and the tool wear up to 118%. This significant improvement promotes sustainability in machining industry by saving resources. Moreover, the CMM showed that R-N(2)MQL is more attractive for cleaner manufacturing system due to a higher recyclability, remanufacturing, and lower disposal of chips.Öğe In-process detection of cutting forces and cutting temperature signals in cryogenic assisted turning of titanium alloys: An analytical approach and experimental study(Academic Press Ltd- Elsevier Science Ltd, 2022) Gupta, Munish Kumar; Korkmaz, Mehmet Erdi; Sarikaya, Murat; Krolczyk, Grzegorz M.; Guenay, MustafaIn-process detection of cutting forces, temperature, roughness, wear etc. during machining of titanium alloys are very important. The Finite element (FE) analysis plays an important role in monitoring and detection of machining responses. It offers a high accuracy in modeling of dry cutting processes and its performance in modeling of cryogenic machining process is a matter of interest. In this context, current investigation focuses on the dry turning and LN2/CO2 cooling assisted turning process of commonly used Ti6Al4V alloy. It is very useful material in the biomedical sector, and the simulation of cutting forces and cutting temperature via finite element method (FEM) has been performed. In addition, the simulation results are validated with experimental work. The results show that the deviations between FE modeling and experimental results for the cutting temperature are the average of 5.54%, 5.18% and 8.42% for the dry, LN2 and CO2 cooling conditions, respectively. On the other hand, the deviations from FE modeling and cutting force test results were 3.74%, 3.358%, and 3.03% under dry, LN2 and CO2 cooling conditions, respectively.Öğe Influence of graphene reinforced sunflower oil on thermo-physical, tribological and machining characteristics of inconel 718(Elsevier, 2021) Danish, Mohd; Gupta, Munish Kumar; Rubaiee, Saeed; Ahmed, Anas; Sarikaya, MuratOwing to the extreme heat generated during Inconel 718 machining, the application of a minimum quantity lubrication (MQL) strategy is restricted to mild cutting conditions. By incorporating vegetable-based cutting oils reinforced by nanoparticles as possible addi-tives, the effectiveness of MQL can be improved in high-speed machining. In this study, hybrid nano-green oils were developed by combining graphene nanoparticles in various volume concentrations with sunflower oil. Subsequently, dispersion stability, thermal conductivity, viscosity, and wetting angle of nano-green oils were measured. An MQL de -vice is used to disperse the smallest amount of nano-green oils throughout the machining area. Later, the experimentally optimized graphene-based green oil is used for milling experiments. Furthermore, hard machining experiments were conducted with cutting speed of 80 m/min, feed rate of 0.2 mm/rev, and depth of cut of 0.5 mm under four different lubricating mediums: dry, flooded, sunflower oil, and 0.7% graphene reinforced sunflower oil. Comparative results show that 0.7% graphene reinforced sunflower oil performs better and reduces surface roughness by 49%, cutting force by 25%, cutting temperature by 31%, and tool wear by 20% as compared to dry machining environment. Finally, elemental analysis of cutting insert reports that adhesion is the major wear mechanism in all mediums. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).Öğe Influence of MoS2 based nanofluid-MQL on tribological and machining characteristics in turning of AA 2024 T3 aluminum alloy(Elsevier, 2021) Yucel, Aysegul; Yildirim, Cagri Vakkas; Sarikaya, Murat; Sirin, Senol; Kivak, Turgay; Gupta, Munish Kumar; Tomaz, Italo, VAluminum (Al) alloys are of particular importance to the aerospace industry owing to the combination of characteristics including strength, ductility, toughness, fatigue life and oxidation resistance as a light metal. This is the case of AA 2024 T3 Al alloy. In particular, machining of these alloys has similar importance for productivity and part quality. Recently, the use of nanofluids, which have various advantages in terms of both cooling ability and tribological aspects, has become popular for the efficient machining of such alloys. In this context, guiding data are needed that enable industry and researchers to machine these types of alloys with high efficiency. Taking these into account, in this study, AA 2024 T3 Al alloy was machined and various machinability indicators such as surface roughness, surface topography, maximum temperature and dominant tool wear mechanism under different cooling/lubrication strategies i.e., dry cutting, base fluid minimum quantity lubrication (MQL) and mineral oil based MoS2 nanofluid MQL (NFMQL) were investigated. As a results, significant improvements have been achieved in surface roughness, surface topography, and maximum temperature with help of NFMQL application. The intensive built-up edge (BUE) and built-up layer (BUL) formations are produced on the cutting tool when machining AA 2024 T3 Al alloy under dry cutting. On the other hand, BUE formation has been significantly eliminated thanks to NFMQL. Moreover, a less damaged cutting edge was obtained when machining Al alloy under NFMQL compared to both dry cutting and MQL environments. (c) 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Öğe Investigating the Dimensional Accuracy and Surface Roughness for 3D Printed Parts Using a Multi-jet Printer(Springer, 2023) Chand, Ramesh; Sharma, Vishal S.; Trehan, Rajeev; Gupta, Munish Kumar; Sarikaya, MuratThe shortcoming of conventional manufacturing (CM) is that it cannot manufacture geometrically complex parts with high repeatability and good surface properties. In order to overcome these shortcomings of CM, additive manufacturing (AM) is the major alternative to the CM. However, the usefulness and performance of parts manufactured through AM are closely correlated with dimensional accuracy and surface roughness, SR (Ra). Therefore, an investigation was carried out in this study for dimensional accuracy and surface roughness of 3D printed parts fabricated in different orientations. In the investigation, four orientation patterns are considered. The part is lying on the base (A), part is lying on the long edge (B), part is lying on the short edge (C), and the part is inclined to 45 degrees(D) to the surface of the base plate (refer to Fig. 2). Orientations, i.e., A, B, C, and D, were explored for the variations in dimensional deviation and SR. In addition, an analysis was carried out using scanning electron microscopy (SEM) on fabricated parts. The results obtained exhibit a variation in dimensional accuracy and change in SR with different part orientations. Among all orientations, the largest surface area of the component in contact with the base plate (A) was the most suitable.
