DSpace Arşivi :: by Yazar "Korkmaz, Mehmet Erdi" değerine göre listeleniyor

Yazar "Korkmaz, Mehmet Erdi" seçeneğine göre listele

Listeleniyor 1 - 20 / 90

A comprehensive review on sustainability in EDM process of additive manufactured materials
(Elsevier, 2025-03) Şentürk, Erhan; Alparslan, Cem; Bayraktar, Şenol; Korkmaz, Mehmet Erdi; Günay, Mustafa
Sustainability aims to leave a better world to future generations where they can be self-sufficient in every field and by producing without endangering the present and the future. Sustainability, which is a very broad concept, is generally evaluated under three main headings that are not independent of each other; environmental protection, social development and economic growth. Considering these concepts, each of the production stages, from raw material to the final product, is important for dealing with the ever-increasing needs. With sustainable production, the use of raw materials, waste generation resulting from production, energy consumption and the formation of hazardous chemicals during production can be reduced. Thus, environmentally friendly and economical production can be achieved. Rapidly advancing and developing production technologies bring innovative solutions in sustainable production for various applications. Today, developing technology to overcome the constraints in production methods and increase production quality, Additive manufacturing (AM) and electrical discharge machining (EDM) methods come to the fore in strategic industrial production areas for example aerospace, defense, automotive and health. Through the utilization of AM, sustainable and next-generation intelligent production can be realized by overcoming conventional manufacturing constraints, including material wastage, challenges in fabricating intricate geometries, and dependency on specialized tooling. A wide variety of materials such as Al-based alloys, stainless steel, Inconel and Ti6Al4V alloys are widely used in metal AM. Although AM components are produced in a near-net shape, subsequent post-production treatments are still necessary to meet the stringent requirements of critical industrial applications. EDM, a non-contact machining process that will minimally affect workpiece performance and reduce material waste, enables the processing of parts produced with AM. The ability to easily process electrically conductive materials that are difficult to process with traditional machining has expanded the usage area of this method. However, the EDM process of these materials raises concerns about sustainability due to factors such as energy consumption and environmental impact. AM and EDM find use in the production and processing of important materials used in the industrial field, but the development of EDM processes applied to AM materials for sustainable production continues. In this review research, it is aimed to comparatively reveal the sustainability characteristics of Al and nickel-based (Ni) alloys, stainless steels and Ti alloy in the AM process. The literature review indicates substantial progress in enhancing the energy efficiency of EDM operations, especially via the creation of environmentally sustainable dielectric fluids and energy-optimized milling techniques. These developments illustrate viable methods for diminishing the environmental impact of EDM, exactly corresponding with the aim of the study.
Abrasive Wear Behavior of Nano-Sized Steel Scale on Soft CuZn35Ni2 Material
(Springer, 2023) Demirsoz, Recep; Ugur, Abdullah; Erdogdu, Ahmet Emrah; Korkmaz, Mehmet Erdi; Gupta, Munish Kumar
This study examines the abrasive wear behavior of nano-sized steel scale on the CuZn35Ni2 Soft material. CuZn35Ni2 Soft material was used as a sample, and the three-body wear mechanism formed by nanoscale particles mixed with lubricating oil was investigated using a ball-on-flat tester. Three different loads, three different sliding speeds and three different environment variables were used in the experiments. A lubricant containing 0.15 and 0.3 wt.% nanoscale and a non-abrasive lubricant was used to form the medium. The experimental results were obtained as mass loss, wear depth and friction coefficient and the wear surfaces were examined using scanning electron microscopy/energy-dispersive x-ray spectroscopy (SEM/EDX). The analysis of variance method was used to determine the effect of independent variables on the results. As a result of the study, it was concluded that the most effective parameter for mass loss and CoF was the environment, and the most effective parameter for the depth of wear was the load. It was concluded that there might be a difference of up to 10% in the coefficient of friction between the experiments and the predicted values. Still, in general, the predicted values and the experimental results agree.
Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends
(Elsevier Sci Ltd, 2022) Binali, Rustem; Kuntoglu, Mustafa; Pimenov, Danil Yu.; Usca, Usame Ali; Gupta, Munish Kumar; Korkmaz, Mehmet Erdi
This review paper summarizes the application of smart manufacturing systems utilized in drilling and hole machining processes. In this perspective, prominent sensors such as vibration, cutting forces, temperature, current/power and sound used in the contemporary indirect and direct tool condition monitoring systems are handled one-by-one according to their applications during machining of holes. Thus, it is aimed to show several operations with the application stages and literature papers which utilize the sensorial data such as grinding, reaming, broaching, boring, tapping, drilling and countersinking. The novel side of this paper is summarizing the all-hole machining processes utilizing sensor systems while benefitting their predictive ability for improved machinability characteristics such as surface integrity, tool wear, dimensional accuracy, chip morphology.
Aisi p20 çeliğinin işlenmesinde kesme kuvvetinin deneysel ve nümerik analizi
(2016) Yaşar, Nafiz; Sekmen, Mustafa; Korkmaz, Mehmet Erdi; Günay, Mustafa
Bu çalışma, AISI P20 çeliğinin sementit karbür kesici takımla tornalama işleminde oluşan kesme kuvvetlerinin deneysel olarak ölçülmesi ve nümerik analizi olmak üzere iki kısımdan oluşmaktadır. Deneysel çalışmada, farklı seviyelerde kesme parametreleri (kesme hızı, ilerleme miktarı ve kesme derinliği) kullanılarak silindirik tornalama işlemi yapılmıştır. Kesme kuvvetlerinin ölçülmesinde, Kistler 9257B tipi dinanometre ve ekipmanları kullanılmıştır. Kesme kuvveti için nümerik analizler, sonlu elemanlar yöntemine dayalı çözümleme yapan DEFORM 3D simülasyon programıyla gerçekleştirilmiştir. Çalışma sonucunda, deneysel olarak ölçülen kesme kuvveti ile simülasyon sonucunda elde edilen kuvvet değerleri arasında ortalama %8'lik bir fark olduğu belirlenmiştir.
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, Recep
Information 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.
Carbon emissions and overall sustainability assessment in eco-friendly machining of Monel-400 alloy
(Elsevier, 2023) Ross, Nimel Sworna; Rai, Ritu; Ananth, M. B. J.; Srinivasan, D.; Ganesh, M.; Gupta, Munish Kumar; Korkmaz, Mehmet Erdi
With increasing regulations about global warming, environmental pollution, and climate change, reducing carbon emissions from energy-intensive industrial activities routes to sustainable production. Because of its robust thermo-physical qualities at elevated temperatures, Monel 400 alloy is a renowned material for employment in modern aviation, medical tools, and prosthetic parts. Though, its structural stability imparts its low thermal conductivity that causes heat accumulation at the tool-workpiece contact during machining, resulting in tool cutting-edge damage. Many bio-based cutting fluids have been already tried to curtail heat generation and environmental footprints to progress overall machinability. In this endeavor, the effectiveness of dry, minimum quantity lubrication (MQL), cryogenic carbon dioxide (CO2) and Nano based MQL (N-MQL) are evaluated in terms of important sustainability indicator Carbon emission (CE). Multi-walled carbon Nano-tubes (MWCNT) in MQL oil limit the friction at the contact region which in turn reduces the power consumption. The highest CE value was found under a dry (0.0051 Kg-CO2) cutting environment and the lowest with N-MQL (0.0014 Kg-CO2). The sustainability assessment was done for CE with the help of Machine learning (ML) tech-niques like Decision tree (DT), Naive Bayes, Random Forest (RF), and Support Vector Machine (SVM). Finally, when the CE levels are discretized while considering industrial needs, SVM paired with the Synthetic Minority Over-sampling approach (SMOTE) demonstrated an accuracy of almost around 100%.
Characteristics, high temperature wear and oxidation behavior of boride layer grown on nimonic 80A Ni-based superalloy
(Elsevier Science Sa, 2021) Gunen, Ali; Doleker, Kadir Mert; Korkmaz, Mehmet Erdi; Gok, Mustafa Sabri; Erdogan, Azmi
Nickel-based superalloy Nimonic 80A was pack-borided in a solid medium at temperatures of 850 degrees C and 950 degrees C for 2 h and 4 h using silicon-free boriding powders. To investigate the effects of the boriding treatments on mechanical properties (hardness, modulus of elasticity, fracture toughness) and high temperature oxidation resistance, the layers grown on the surfaces were characterized using optical and scanning electron microscopy, energy dispersive spectroscopy, and X-ray diffractometry, and evaluated using microhardness, nanoindentation, wear and oxidation tests. Wear tests were performed on untreated and borided Nimonic 80A alloys using a ball-on-disc tribometer at room temperature and at 500 degrees C under dry sliding conditions. Oxidation tests were carried out in air at 1000 degrees C for 5 h, 25 h and 75 h. Characterization studies revealed a smooth, 22 to 86 mu m thick crack-free boride layer consisting mainly of Ni2B and minor quantities of CrB, Cr2B and Cr5B3 in the borided samples. The hardness and elastic modulus of the boride layer was measured as 15.57-18.95 GPa and 142-217 GPa, respectively. Increasing the boriding temperature and time increased the concentrations of chromium in the boride layer. The hardness and elastic modulus of the boride layer increased with chromium content while its fracture toughness decreased. The boriding treatments improved the dry sliding wear resistance. Increasing boriding time and temperature generally led to a higher wear resistance values. However, the treatments had no significant effect on oxidation resistance. The results of this study show that boriding can significantly improve the wear resistance of Nimonic 80A without compromising its oxidation resistance.
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, Murat
Cutting 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.
Comprehensive analysis of tool wear, surface roughness and chip morphology in sustainable turning of Inconel-601 alloy
(Elsevier Sci Ltd, 2023) Korkmaz, Mehmet Erdi; Gupta, Munish Kumar; Guenay, Mustafa; Boy, Mehmet; Yasar, Nafiz; Demirsoez, Recep; Ross, K. Nimel Sworna
The objective of this research was to explore the impact of various cooling conditions on machinability, as potential alternatives to traditional cooling methods. To achieve this aim, a series of experiments were performed, where dry machining, minimum quantity lubrication (MQL), nanofluids, cryogenic (cryo) cooling, and hybrid cooling (cryo+nano MQL) methods were tested. Under distinct nanofluids conditions hBN(0.2 %) + graphene(0.2 %) performed well and overall cryo+nano MQL produced better result in terms of tool wear, microhardness, surface and chip morphology. The results demonstrated that the cooling effect of the Cryo-MQL regime, which maintains the cutting temperature at a tolerable level and preserves the lubricant performance of the MQL, is the cause of the lowest Vb value of 90 & mu;m.
A comprehensive review on the grinding process: Advancements, applications and challenges
(Sage Publications Ltd, 2022) Kishore, Kamal; Sinha, Manoj K.; Singh, Amarjit; Archana; Gupta, Munish K.; Korkmaz, Mehmet Erdi
Grinding is a manufacturing process which significantly contributes in producing high precision and durable components required in numerous applications such as aerospace, defence and automobiles. This review article is focused to uncover history, witness the present and predict the future of the grinding process. While going through the literature, it has been observed that minimal work has been done in explaining the history, present status and future scopes of the grinding process. In this era of information and environmental awareness, sustainability aspects have become a primary concern of almost every research field. In the grinding process too, the research work includes ecological elements such as reducing the consumption of cutting fluids through minimum quantity lubrication, utilizing cryogenics, hybrid lubrication and cooling techniques that are still required to be explored critically. Further, some significant findings of the prevailing research in grinding include modification in grinding wheel surface, merging different grinding principles such as usages of the textured grinding wheel, ultrasonic grinding, 3D printing of grinding wheel and artificial intelligence in grinding are also presented. Another unascertained problem is the management of grinding swarf, which is being attended to by recycling it to fabricate composites which is expected to be another prominent domain of research. Further, the advancements taking place exhibit the potential of the grinding process, suggesting that its future is bright and ever-growing.
A conceptual framework for sustainability impact assessment in machining bohler tool steel under hBN-enriched nano cutting fluids environment
(Elsevier, 2023) Gupta, Munish Kumar; Korkmaz, Mehmet Erdi
The term sustainability assessment refers to a set of practices that guide the planning and decision-making process to realize sustainable development. Sustainability is becoming an increasingly central notion for many businesses. However, the current sustainability assessment techniques are being heavily criticized for a number of reasons, including a lack of interdependence and consistency, the predominance of subjectivity, and financial biases. Therefore, the present study applies the fundamental conceptual framework for sustainability evaluation to enhance the process performance of machining Bohler K490 steel using minimum quantity lubrication (MQL) and hBN-enriched nano-MQL cooling/lubrication. Power consumption and machining parameters such as tool wear, surface roughness, and chip morphology were taken into account while developing the sustainability assessment model. Then, the sustainability performance indicator (SPI) was determined. This global SPI supports the claim that using nano-MQL improves both sustainability and machining performance. The findings of tool wear clearly illustrated that applying hBN-enriched nano fluids from both the rake and flank surface reduced the tool wear values by up to 26.9%.
Configuration of tool wear and its mechanism in sustainable machining of titanium alloys with energy signals
(Springer London Ltd, 2024) Vashishtha, Govind; Chauhan, Sumika; Gupta, Munish Kumar; Korkmaz, Mehmet Erdi; Ross, Nimel Sworna; Zimroz, Radoslaw; Krolczyk, Grzegorz M.
Surface quality, machining efficiency, and tool life are all significantly impacted by tool wear in metal cutting machining. Research priorities and areas of focus in tool wear are shifting as intelligent machining becomes the norm. Unfortunately, there are currently no acknowledged most effective ways for analyzing tool based on the energy signals specially in the machining of titanium and its alloys. In the present work, the titanium machining was performed under different lubrication conditions such as dry, minimum quantity lubrication (MQL), liquid nitrogen and hybrid, etc. Then, the spectrograms are used to transform the acquired energy data into time-frequency features. Starting with a set of randomly generated hyper parameters (HPs), the long short-term memory (LSTM) model is fine-tuned using sine cosine algorithm (SCA) with loss serving as the fitness function. The confusion matrix provides additional validation of the 98.08% classification accuracy. Additional evaluations of the suggested method's superiority include its specificity, sensitivity, F1-score, and area under the curve (AUC).
Confirmation of Johnson-Cook Model Parameters for Nimonic 80A alloy by Finite Element Method
(Gazi Univ, 2020) Korkmaz, Mehmet Erdi; Gunay, Mustafa
Nimonic 80A superalloy is frequently used due to its high creep resistance, oxidation resistance and high resistance to high temperature corrosion. On the other hand, due to compatibility of simulation of plastic deformation processes, Johnson-Cook model is chosen among the materials models such as Zerille Armstrong, Bordner Partom, Steinberg-Guinan etc. In this study, primarily, quasi-static compression tests were performed for 10-3, 10-2 and 10-1 s-1 strain rates at room temperature. Secondly, dynamic compression tests were secondly conducted at high strain rates ranging from 370 to 954 s-1 using the Split Hopkinson Pressure Bar (SHPB) apparatus. Then, the compression tests were conducted at a temperature level from 24 similar to 200 degrees C at the reference strain rate. Johnson-Cook model parameters of Nimonic 80A were determined by analyzing the data obtained from the tests. Lastly, the compression simulations with fmite element method (FEM) were performed in ANSYS Workbench to confirm the accuracy of the parameters. In the light of the results, it was determined that there is an average of %3.23 deviation between the experimental and the simulation values. The result showed that accuracy of the Johnson-Cook parameters for Nimonic 80A superalloy was verified with FEM.
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, Szymon
Aluminium 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.
Determination and Verification of Johnson-Cook Parameters for 430 Ferritic Steels via Different Gage Lengths
(Springer India, 2019) Korkmaz, Mehmet Erdi
Stainless steels, especially ferritic ones, are used in heat-resistant devices, home appliances, construction materials due to their high corrosion resistance, high and low temperature availability, mechanical strength and long-time durability. In this study, it was aimed to identify the Johnson-Cook (JC) parameters of the AISI 430 ferritic stainless steel depending on the gage length variation. After preparing tensile samples with seven different gage lengths (0.5, 1, 2, 5, 10, 20 and 50 mm), the samples were subjected to tensile tests at the same deformation speed (2 mm/s). Here, the variation of the yield stress depending on the strain rate was investigated because the deformation speed was kept constant and the gage length was changed. The tensile tests at different strain rates were conducted on the same setup. The materials were also subjected to the tensile tests at different temperatures on reference strain rate to perceive the change of the yield stresses at elevated temperatures. As a result of these tests, the JC parameters of the material were determined. Finally, by using these parameters, the tensile test simulations of the material were performed in the finite element simulation package. When the obtained experimental and numerical data were compared, it was determined that there was a deviation of 3.17% between them and the validity of the JC parameters of the material was proved.
Development and potential use of MWCNT suspended in vegetable oil as a cutting fluid in machining of Monel 400
(Elsevier, 2023) Ross, Nimel Sworna; Ganesh, M.; Ananth, M. Belsam Jeba; Kumar, M.; Rai, Ritu; Gupta, Munish Kumar; Korkmaz, Mehmet Erdi
The heat dissipation problem that arises when machining difficult to cut materials can be mitigated by using nano-cutting fluids, which have a much higher thermal conductivity value than the basic lubricants. Since the heat carrying capacity of the Minimum Quantity Lubrication (MQL) system is significantly lower than that of other coolants, a number of nano-additives are used to increase its cooling effectiveness. Therefore, this study firstly focuses on the assessment of nano-cutting fluids and their significant efficacy in the machining operation of nickel-based alloys. Multi-walled carbon nanotube (MWCNT) suspended in vegetable oil is compared with distinct cooling environmental conditions namely, dry, MQL and cryogenic carbon dioxide (CO2). The novelty of this work is that the different volume fractions of 0.2 - 1 wt% of MWCNT were dispersed to study the contact angle, viscosity and thermal conductivity of the prepared molecular liquid and then, the potential of MWCNT suspended in vegetable oil is used to evaluate the outcomes of surface roughness (Ra), cutting temperature (CT) and tool wear (Vb) while machining Monel 400 alloy. The outcomes affirmed that employing nano MQL in machining operations resulted in a mean reduction of about 65% in the temperature evolved concerning no coolant condition. Additionally, the use of nanoparticles leads to an improved surface finish and abridged tool wear.
Development of lattice structure with selective laser melting process: A state of the art on properties, future trends and challenges
(Elsevier Sci Ltd, 2022) Korkmaz, Mehmet Erdi; Gupta, Munish Kumar; Robak, Grzegorz; Moj, Kevin; Krolczyk, Grzegorz M.; Kuntoglu, Mustafa
Lattice structures are vital for biological applications because of its numerous benefits (for example, faster and stronger binding to bone tissue). Consequently, processing of lattice structure is a particularly popular area of study currently. In this study, additive manufacturing technologies utilized in several engineering disciplines were collated and their merits and shortcomings were examined. Numerous sectors and disciplines view lattice structured additive manufacturing as a prototyping technique. In recent years, additive manufacturing tech-nology has also progressed toward the fabrication of useable final goods. The objective of this review is to classify the produced systems under the headings of aviation, automotive, and military technologies within the context of engineering and to compare them by examining the research and technology firms in this sector. In this cate-gorization, lattice-structured additive manufacturing techniques are categorized as an engineering production technology, and examples of this field are investigated. Technologies, which are examples of diverse engineering applications, are categorized under four primary headings: additive manufacturing knowledge, selective laser melting (SLM), lattice structure, and changeable porosity cellular structures.
Effect of nanoparticles as a lubricants in nano-MQL machining of metallic materials: A review
(Ieee, 2021) Korkmaz, Mehmet Erdi; Gupta, Munish Kumar; Krolczyk, Grzegorz M.; Maruda, Radoslaw W.; Li, Zhixiong
Nanofluids with minimal lubrication (MQL) are drawing attention with laws and regulations that improve environmental protection. Researchers have focused on a variety of issues concerning the performance and application of nanofluids in MQL processing. This review effort attempts to evaluate some of these researches in order to understand the influence of nanoparticles, as well as the kind and on the machinability performance of metallic materials. Furthermore, it has been found that the rise of unique types of nanoparticles and/or nanofluids combined with other types of nanoparticles considerably alters MQL processing performance (hybrid nanofluids). It has been observed that graphene oxide, paraffin wax, and soy-based nanofluids, as well as MoS2 nanoparticles and hybrid nanofluids, such as multi-layer aluminum carbon nanotubes and alumina graphene, provide effective lubricating and cooling effects in MQL processing. However, to optimize their application in machining operations, the thermophysical and wettability features of hybrid nanofluids during aging, as well as difficulties associated to nanoparticle clustering at greater concentrations, must be explored. This paper finally lists several types of nanoparticles that can be used for further machining studies to achieve collaborative effects on MQL processing performance.
Enhancing surface quality and tool life in SLM-machined components with Dual-MQL approach
(Elsevier, 2024) Ross, Nimel Sworna; Mashinini, Peter Madindwa; Mishra, Priyanka; Ananth, M. Belsam Jeba; Mustafa, Sithara Mohamed; Gupta, Munish Kumar; Korkmaz, Mehmet Erdi
Selective laser melting (SLM) can produce complex metal components with high densities, thereby surpassing the limitations of traditional machining methods. However, achieving accurate dimensions, geometries, and acceptable surface states in parts fabricated through SLM remains a concern as they often fall short compared to traditionally machined components. As a solution, a hybrid additive-subtractive manufacturing (HASM) method was developed to effectively utilize the advantages of both techniques. In this study, SLM-made 316 L stainless steel was machined under distinct cooling conditions to investigate the effects of roughness and tool wear. After a thorough investigation, the dual-MQL strategy was evaluated and compared with dry and MQL cutting strategies. The findings showed that the dual-MQL condition led to a significant reduction in flank wear by 54-56% and 29-34%, respectively, associated with dry and MQL cutting techniques, making it a highly promising key for machining SLM-made steel components. Machine learning techniques are potential tools for prediction and classification capabilities in machining processes. For milling SLM-made 316 L SS, multilayer perceptron (MLP) proved to be the most effective prediction model and for classification MLP and Random forest performed better.
Estimation of Entropy Generation for Ag-MgO/Water Hybrid Nanofluid Flow through Rectangular Minichannel by Using Artificial Neural Network
(Gazi Univ, 2019) Uysal, Cuneyt; Korkmaz, Mehmet Erdi
The convective heat transfer and entropy generation characteristics of Ag-MgO/water hybrid nanofluid flow through rectangular minichannel were numerically investigated. The Reynolds number was in the range of 200 to 2000 and different nanoparticle volume fractions were varied between phi = 0.005 and 0.02. In addition, Artificial Neural Network was used to create a model for estimating of entropy generation of Ag-MgO/water hybrid nanofluid flow. As a result, it was found that the convective heat transfer coefficient for phi = 0.02 Ag-MgO/water hybrid nanofluid is 21.29% higher than that of pure water, at Re=2000. Total entropy generation of Ag-MgO/water hybrid nanofluid increased with increasing nanoparticle volume fraction. The results obtained by ANN showed good agreement with the numerical results obtained in this study.

Yazar "Korkmaz, Mehmet Erdi" seçeneğine göre listele

Sayfa Başına Sonuç

Sıralama seçenekleri