Sadık Engin Kılıç

Kılıç, Sadık Engin

Name Variants

K.,Sadik Engin
Sadık Engin, Kılıç
Kılıç S.
S. E. Kılıç
Kılıç, Sadık Engin
S.E.Kılıç
Kiliç S.
S.,Kılıç
Kilic S.
K.,Sadık Engin
K., Sadik Engin
Kilic,S.E.
S. E. Kilic
K., Sadık Engin
Kılıç,S.E.
Sadik Engin, Kilic
Sadık Engin Kılıç
S., Kilic
Kilic, Sadik Engin
Kilic,Sadik Engin
S.E.Kilic
Kilic, S. Engin

Job Title

Profesör Doktor

Email Address

engin.kilic@atilim.edu.tr

Scholarly Output

22

Articles

16

Citation Count

191

Supervised Theses

3 Scholarly Output Search Results

Now showing 1 - 10 of 22

Citation Count: 28
Slot milling of titanium alloy with hexagonal boron nitride and minimum quantity lubrication and multi-objective process optimization for energy efficiency
(Elsevier Sci Ltd, 2020) Kılıç, Sadık Engin; Yilmaz, Volkan; Unver, Hakki Ozgur; Seker, Ulvi; Kilic, Sadik Engin; Manufacturing Engineering
The implementation of sustainable manufacturing techniques to make machining processes more eco-friendly is a challenging topic that has attracted significant attention from the industrial sector for many years. As one of the dominant manufacturing processes, machining can have a considerable impact in terms of ecology, society, and economics. In certain areas, this impact is a result of using certain cutting fluids, especially during the machining of difficult-to-cut alloys such as titanium, where a large amount of cutting fluid is wasted to ease the cutting process. In such scenarios, identifying suitable machining conditions to supply cutting fluids using eco-friendly techniques is currently a major focus of academic and industrial sector research. In this study, effects of minimum quantity lubrication with different concentrations of hexagonal boron nitride nanoparticles on the surface roughness and cutting force of slot-milled titanium alloy is investigated using analysis of variance and response surface methodology. The results reveal that all responses are sensitive to changes in the feed per tooth, cutting depth, and cutting fluid flow rate. The regression functions generated were combined with particle swarm optimization in order to improve energy-efficiency, as well. Possible sectorial scenarios were generated for wider industrial adoption. With this study, it was proven that utilizing minimum quantity lubrication with hexagonal boron nitride nanoparticles can reduce both cutting force and surface roughness, which makes it to be a promising alternative as a nanoparticle augmented minimum quantity lubrication method for machining titanium alloys. (C) 2020 Elsevier Ltd. All rights reserved.
Citation Count: 3
Design of a Customer's Type Based Algorithm for Partner Selection Problem of Virtual Enterprise
(Elsevier Science Bv, 2016) Kılıç, Sadık Engin; Ozbayoglu, Ahmet Murat; Unver, Hakki Ozgur; Kilic, Sadik Engin; Manufacturing Engineering
Virtual Enterprise (VE) is a temporary platform for individual enterprises to collaborate with each other, sharing their core competencies to fulfill a customer demand. In order to improve the customer satisfaction, the most successful VEs select their consortium's members based on customer's preferences. There is quite extensive literature in the field of partner selection in VE, each proposing a new approach to evaluate and select the most appropriate partners among pool of enterprises. However, none of the studies in literature recommend which partner selection methodology should be used in each project with a particular customer attitude. In this study an algorithm is proposed which classifies the customers into three categories; passive, standard and assertive. Three different approaches; Fuzzy Logic-FAHP TOPSIS and Goal programming are used for each customer type respectively. This classification is beneficial since the problem's characteristics; such as vagueness of data, change as the customer's attitude varies. The results certify that, adopting this algorithm not only helps the VE to select the most appropriate partners based on customer preferences, but also the model adapts itself to each customer's attitude. As a result, the overall system flexibility is significantly improved. (C) 2016 The Authors. Published by Elsevier B.V.
Citation Count: 0
Investigation of the Combined Effects of Ultrasonic Vibration-Assisted Machining and Minimum Quantity Lubrication on Al7075-T6
(Hindawi Ltd, 2024) Namlu, Ramazan Hakkı; Cetin, Baris; Lotfi, Bahram; Kilic, S. Engin; Kılıç, Sadık Engin; Mechanical Engineering; Department of Mechanical Engineering; Manufacturing Engineering
The aluminum alloy Al7075-T6 finds extensive application in the aviation and automotive industries, where machining plays a pivotal role. Emerging techniques such as Ultrasonic Vibration-Assisted Machining (UVAM) and Minimum Quantity Lubrication (MQL) hold promise for enhancing machining efficiency. In this study, the combined use of UVAM and MQL for slot milling of Al7075-T6 was investigated. The results demonstrate that UVAM reduced cutting forces by an average of 10.87% in MQL and 8.31% in Conventional Cutting Fluid (CCF) conditions when compared to Conventional Machining (CM). In addition, UVAM yielded significantly improved surface finishes, characterized by an average reduction in surface roughness of 41.86% in MQL and 32.11% in CCF conditions relative to CM. Furthermore, surfaces subjected to UVAM exhibited fewer instances of burn marks and tool-induced markings, reduced chip splashing, and more uniform surface integrity compared to those manufactured with CM. Lastly, chips generated through UVAM exhibited distinct characteristics, notably shorter length, curvier shape, and a distinctive half-turn morphology when compared with the irregular chips produced through CM. In conclusion, our findings underscore the potential of UVAM in synergy with MQL to augment the machining of Al7075-T6 alloy, thereby yielding superior-quality machined components with enhanced operational efficiency.
Citation Count: 0
EFFECT OF THE MQL TECHNIQUE ON CUTTING FORCE AND SURFACE QUALITY DURING THE SLOT MILLING OF TITANIUM ALLOY
(inst Za Kovinske Materiale I in Tehnologie, 2022) Kılıç, Sadık Engin; Yilmaz, Volkan; Unver, Hakki Ozgur; Seker, Ulvi; Kilic, S. Engin; Manufacturing Engineering
In this study, the effects of four control parameters, i.e., the cutting speed (v(c)), feed per tooth (f), depth of cut (a(p)), and flow rate of the cutting fluid (Q), on the surface roughness (R-a) and cutting force (F-c) were investigated in the slot milling of titanium alloys (Ti-6A1-4V). The effects of the control parameters were determined by a statistical analysis. In addition, RSM models for R-a and F-c during machining under three cooling/lubrication conditions, i.e., dry, flood, and minimum quantity lubrication (MQL), were obtained. The results revealed that both R-a and F-c are sensitive to changes in f, a(p) and Q. It was found that the MQL condition generates lower values of R-a where the surface roughness value is 0.227 mu m. By contrast. F-c values under the MQL condition were close to those of the flood condition and at times even better. The machining performance at a cutting-fluid flow rate of 36 mL/h under the MQL condition was found to be the best under certain machining conditions. MQL was found to be an effective alternative technique for conventional conditions when machining Ti-6Al-4V.
Citation Count: 6
Cutting Force Prediction in Ultrasonic-Assisted Milling of Ti-6al With Different Machining Conditions Using Artificial Neural Network
(Cambridge University Press, 2021) Namlu, Ramazan Hakkı; Turhan, Cihan; Lotfısadıgh, Bahram; Kılıç, Sadık Engin; Energy Systems Engineering; Mechanical Engineering; Manufacturing Engineering
Ti-6Al-4V alloy has superior material properties such as high strength-to-weight ratio, good corrosion resistance, and excellent fracture toughness. Therefore, it is widely used in aerospace, medical, and automotive industries where machining is an essential process for these industries. However, machining of Ti-6Al-4V is a material with extremely low machinability characteristics; thus, conventional machining methods are not appropriate to machine such materials. Ultrasonic-assisted machining (UAM) is a novel hybrid machining method which has numerous advantages over conventional machining processes. In addition, minimum quantity lubrication (MQL) is an alternative type of metal cutting fluid application that is being used instead of conventional lubrication in machining. One of the parameters which could be used to measure the performance of the machining process is the amount of cutting force. Nevertheless, there is a number of limited studies to compare the changes in cutting forces by using UAM and MQL together which are time-consuming and not cost-effective. Artificial neural network (ANN) is an alternative method that may eliminate the limitations mentioned above by estimating the outputs with the limited number of data. In this study, a model was developed and coded in Python programming environment in order to predict cutting forces using ANN. The results showed that experimental cutting forces were estimated with a successful prediction rate of 0.99 with mean absolute percentage error and mean squared error of 1.85% and 13.1, respectively. Moreover, considering too limited experimental data, ANN provided acceptable results in a cost-and time-effective way. Copyright © The Author(s), 2020. Published by Cambridge University Press.
Partikül Takviyeli Alüminyum Metal Matris Kompozit Malzemelerin Talaşlı İşlenmesinin Sonlu Elemanlar Yöntemiyle Modellenmesi
(2018) Rake, Nakka Lotfy Rake; Kılıç, Sadık Engin; Kılıç, Sadık Engin; Kılıç, Sadık Engin; Kılıç, Sadık Engin; Oliaei, Samad Nadimi Bavil; Manufacturing Engineering; Manufacturing Engineering
Metal matris kompozitleri (MMC'ler) otomotiv, havacılık ve nükleer santraller gibi birçok teknik alanda önemli malzemeler haline gelmiştir. Bu uygulamaların çoğunda, nihai ürünün istenen özelliklerine ulaşmak için talaşlı işleme süreçleri gereklidir. Bu nedenle, MMC'lerin talaşlı işlemesini incelemek ve işleme operasyonları sırasında davranışlarını anlamak için süreç modellerini geliştirmek önemlidir. Proses modellerine dayanarak, belirli MMC'lerin kesme koşullarını optimize ederek talaşlı işleme kalitesi ve maliyeti iyileştirilebilir. Bu hedefe doğru bir adım olarak, partikül takviyeli alüminyum metal matris kompozitlerinin (p-Al MMC'ler) talaşlı işlenmesini incelemek için sonlu eleman modellemesi (FEM) kullanılır. Seçilen matris malzemesi,% 20'lik bir hacim fraksiyonu ile 20 μm çapa sahip silikon karbür (SiC) parçacıkları ile güçlendirililmiş alüminyum alaşımı A359'dur. P-Al-MMC'nin ortogonal kesimi üç farklı yaklaşımla incelenmiştir. Birinci yaklaşımda, eşdeğer bir homojen malzeme modeli (EHM) uygulanmaya çalışılırken, ikinci ve üçüncü yaklaşımlarda p-AlMMC, iki fazlı bir heterojen malzeme olarak modellenmiştir. İkinci ve üçüncü yaklaşımlar sırasıyla donatı parçacıklarının periyodik karesi ve periyodik altıgen dağılımlarına dayanmaktadır. Matris / kesici takım, matris / takviye ve takviye/kesme aleti arasındaki etkileşim göz önüne alınmıştır. FE simülasyonlarının sonuçları literatürdeki deneysel veriler ile karşılaştırılmıştır. Sonuçlar, yüksek gerilme oranı testleri kullanılarak kalibre edilen EHM modellerinin kesme kuvvetlerinde iyi tahminler veremeyebileceğini ve talaşlı işleme simülasyonları için yeniden kalibre edilmesi gerektiğini ortaya çıkarmıştır. Sonuçlar ayrıca, p-MMC'lerin heterojen bir materyal olarak modellenmesiyle, kesme kuvveti tahminlerinin doğruluğunun önemli ölçüde geliştirilebileceğini ortaya koymuştur.
Citation Count: 2
Machining Performance and Sustainability Analysis of Al₂o_{3< Hybrid Nanofluid Mql Application for Milling of Ti-6al}
(Taylor & Francis inc, 2024) Lotfi, Bahram; Namlu, Ramazan Hakkı; Namlu, Ramazan Hakki; Kilic, S. Engin; Lotfi, Bahram; Kılıç, Sadık Engin; Mechanical Engineering; Department of Mechanical Engineering; Manufacturing Engineering
Machining of Ti-6Al-4V presents challenges due to its low thermal conductivity, and conventional cutting fluids (CCF) are inadequate in providing a productive and sustainable solution. This study aims to achieve more sustainable and productive machining of Ti-6Al-4V by utilizing Al2O3 and CuO-added Nanofluid Minimum Quantity Lubrication (NMQL) individually and in hybrid form with different concentrations. A comparison is made with pure-MQL, CCF and dry conditions. The study consists of three stages. In the first stage, the physical properties of the coolants, like contact angle and surface tension, are investigated. The second stage involves slot milling operations, and various outputs including cutting forces, surface roughness, surface topography, surface finish, and subsurface microhardness are analyzed. In the last stage, a sustainability analysis is conducted based on the Pugh Matrix Approach. The results indicate that Al2O3-NMQL exhibits lower contact angles and surface tensions compared to other conditions. Furthermore, HNMQL applications result in lower cutting forces (up to 46.5%), surface roughness (up to 61.2%), and microhardness (up to 6.6%), while yielding better surface finish and topography compared to CCF. The sustainability analysis demonstrates that HNMQL application is the most suitable option for achieving sustainable machining of Ti-6Al-4V.
Citation Count: 76
An Intelligent Process Planning System for Prismatic Parts Using Step Features
(Springer London Ltd, 2007) Amaitik, Saleh M.; Kılıç, Sadık Engin; Kilic, S. Engin; Manufacturing Engineering
This paper presents an intelligent process planning system using STEP features (ST-FeatCAPP) for prismatic parts. The system maps a STEP AP224 XML data file, without using a complex feature recognition process, and produces the corresponding machining operations to generate the process plan and corresponding STEP-NC in XML format. It carries out several stages of process planning such as operations selection, tool selection, machining parameters determination, machine tools selection and setup planning. A hybrid approach of most recent techniques ( neural networks, fuzzy logic and rule-based) of artificial intelligence is used as the inference engine of the developed system. An object-oriented approach is used in the definition and implementation of the system. An example part is tested and the corresponding process plan is presented to demonstrate and verify the proposed CAPP system. The paper thus suggests a new feature-based intelligent CAPP system for avoiding complex feature recognition and knowledge acquisition problems.
Citation Count: 16
A Framework for Energy Reduction in Manufacturing Process Chains (e-Mpc) and a Case Study From the Turkish Household Appliance Industry
(Elsevier Sci Ltd, 2016) Uluer, Muhtar Ural; Kılıç, Sadık Engin; Unver, Hakki Ozgur; Gok, Gozde; Fescioglu-Unver, Nilgun; Kilic, Sadik Engin; Manufacturing Engineering
Energy is a major input in the manufacturing sector. Its security and efficiency are of supreme importance to a nation's industrial activities. Energy consumption also has serious environmental impacts in terms of Greenhouse Gas (GHG) emissions. In order to use energy more efficiently, simply designing parts and planning manufacturing processes with an energy-aware mindset is insufficient; it is also necessary to model and assess the energy efficiency of a process chain from a holistic point of view. In this work, we propose an integrated energy reduction framework and the internal methods to implement it. Our framework builds on three pillars. Creating an energy profile of a process chain is the first step in characterizing a manufacturing system in terms of energy demand. Energy-aware part designs and process plans are based on ISO/STEP 10303 AP224 standards in order to estimate the embodied energy of a mechanical part. Finally, using discrete event simulation methods, the energy consumption of a process chain is assessed and reduction scenarios are generated based on design or operational alternatives. A data collection and analytics system visualizing measures and key performance indicators (KPIs) also must be implemented in order to measure real consumption values and track improvement results over time. The energy reduction in manufacturing process chains (E-MPC) framework is unique in that it provides a structured method which enables the embodied energy of a part to be estimated during early design stages and further enables the evaluation of design impacts on process chains, thereby recognizing the dynamic nature of systems. A pilot case study of the framework was implemented at the largest household appliance manufacturer in Turkey, Arcelik A.S. In order to evaluate its usefulness and validity, we performed a detailed implementation on a fully automated crankshaft manufacturing line in Arcelilc's refrigerator compressor plant. The results reveal that design improvements estimated gains would reach 2%, whereas operational improvements yield up to 10% energy savings per produced part. (C) 2015 Elsevier Ltd. All rights reserved.
Citation Count: 2
An Experimental Study on Ultrasonic-Assisted Drilling of Inconel 718 Under Different Cooling/Lubrication Conditions
(Springer London Ltd, 2024) Erturun, Omer Faruk; Namlu, Ramazan Hakkı; Tekaut, Hasan; Cicek, Adem; Lotfi, Bahram; Ucak, Necati; Namlu, Ramazan Hakki; Kılıç, Sadık Engin; Lotfi, Bahram; Kilic, S. Engin; Mechanical Engineering; Department of Mechanical Engineering; Manufacturing Engineering
Ultrasonic-assisted drilling (UAD) is one of the efficient and innovative methods to improve the drillability of difficult-to-cut materials. In the present study, the UAD of Inconel 718 was investigated under different cooling and/or lubrication conditions. The drilling tests were carried out at a constant cutting speed (15 m/min) and a feed (0.045 mm/rev) using uncoated and TiAlN-coated solid carbide drills under dry, conventional cutting fluid (CCF), and minimum quantity lubrication (MQL) conditions. The applicability of UAD to drilling Inconel 718 was evaluated in terms of thrust force, surface roughness, roundness error, burr formation, subsurface microstructure and microhardness, tool wear, and chip morphology. The test results showed that, when compared to conventional drilling (CD), UAD reduced the thrust force and improved the hole quality, tool life, and surface integrity under all conditions. Good surface finish, lower roundness error, and minimum burr heights were achieved under CCF conditions. MQL drilling provided lower thrust forces, better tool performance, and good subsurface quality characteristics. In addition, the simultaneous application of CCF-UAD and MQD-UAD showed significantly better performance, especially when using the coated tool.

Kılıç, Sadık Engin

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Scholarly Output

22

Articles

16

Citation Count

191

Supervised Theses

3

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